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0 such that /aXj) * f for 1 s:: j s:: d. Now to reset the definitions and results for convolution on the circle. Since alDl is compact, all regular Borel measures on the circle are finite and so the discussion of convolution is simplified. It is no longer necessary to consider locally integrable functions. Let M(alDl) be the space of complex valued regular Borel measures on alDl. If JL and v E M(alDl), define L : C(aj[))) ---+ C by c} is infinite (or empty). 0 a > -00. If U = {z: a}, then U E F (13.2.a), a E U, and un Z = 0. 0
82
15. Finitely Connected Regions
If tf>j = Ii, then we will say that ¢ associates C j with Ii, To maintain some flexibility we might also say in this situation that ¢ associates K j with Ii· The idea here is that even though ¢ may not extend as a function to the boundary of G, it is possible to think of ¢ as mapping the components of onto the components of The next result is just a restatement of Theorem 2.1 with the added piece of information that any component of the complement of G can be made to be associated with a]D).
a=G
a=o.
3.3 Theorem. If C; is a non-degenemte n-connected region and C is any component of its extended boundary, then there is a conformal equivalence ¢ of G onto an analytic n-Jordan region 0 such that the outer boundary of o is a]D), 0 rf. 0, and cP associates C with a]D). Proof. Refer to the proof of Theorem 2.1. Using the notation there it follows that the map ¢ constructed there associates aKn with a]D). If C = aKj for 1 ::; j ::; n, then a simple relabelling proves the present theorem. If C = aKa, then look at the image G 1 of G under the Mobius transformation (3-a)-1 for an appropriate choice of a. Here C corresponds to the boundary of a component of the complement of G 1 that does not contain 00 and the previous argument applies. D
15.3. Boundary Values
83
tangential limit of ¢ would be this common vlaue at a.e. point on one of the two subarcs of C j that joins al and az. (See the proof of Theorem 14.5.6.) Let "70 be one of the two arcs in Cj that joins al and a2 and let "73 be a Jordan arc in G joining "7z(O) to T/l(O). Thus C = T/0"71"73"7:;1 is a Jordan curve and ins C ~ G. Let Ai = ¢ 0 "7i for i = 1,2,3; so each Ai is a Jordan arc in 0 and Al A3 A:; 1 is a Jordan arc joining a2 to Q 1· If AO is either of the two subarcs of Ij joining al to Qz, then I = AIA3A:;1 Ao is a Jordan curve that is disjoint from ¢(ins C); choose the arc Ao such that ¢(ins C) = ins I' Since ins I ~ 0 and ¢ is surjective, it follows that ¢(ins C) = ins I' By Corollary 14.5.7, ¢ extends to a homeomorphism of cl(insC) onto cl(insl)' Thus ¢ maps T/o homeomorphically onto Ao· By examining the other subarc of C j that joins al to a2, we see that ¢ extends to a homeomorphism of G U C j onto 0 U Ij' The details of this argument as well as the remainder of the proof are left to the reader. D The proofs of the next results are similar to the preceding proof and will not be given. The following extends Theorem 14.5.5. 3.5 Theorem. If G is a finitely connected Jordan region and ¢ : G ---. 0 is a conformal equivalence, then the following are equivalent.
(a) ¢ has a continuous extension to the closure of G. 3.4 Theorem. If G and 0 are two finitely connected Jordan regions and ¢ : G ---. 0 is a conformal equivalence, then ¢ extends to a homeomorphism of cl G onto cl O.
(b) Each component of ao is a continuous path.
Proof. Using the above notation and letting C j = aKj , we can assume that ¢ associates the boundary curve C j of G with the boundary curve Ij of 0, 0::; j ::; n. It suffices to assume that G is an analytic Jordan region. In fact if this case is done, then for the general case apply Theorem 2.1 to find two analytic Jordan regions G 1 and 0 1 and conformal equivalences f : G ---. G 1 and T : 0 1. Let cPl : G 1 ---. 0 1 be defined by ¢1 = TO ¢o f-l. Now observe that if the theorem is established for the special case where the domain is an analytic Jordan region, then by taking inverses the theorem also holds when the range is an analytic Jordan region. Thus each of the maps f, T, and ¢1 as well as their inverses extends to a homeomorphism. Hence cP extends to a homeomorphism. So we assume that each of the curves Co, ... , C n is an analytic Jordan curve. Let 0 < r < dist(rj"k) for j =I- k. Let 0 < E: < dist(Cj,Ck) for j =I- k; by Proposition 3.2 and Lemma 3.1, E: can be chosen such that ¢({z E G : dist(z,Cj ) < c}) ~ {( EO: dist(("j) < r}. By Corollary 13.5.7, ¢ has non-tangential limits a.e. on each C j . Fix j, 0 ::; j ::; n, and let al and a2 be any two points on Cj at which ¢ has a non-tangential limit. Thus there are Jordan arcs T/i : [0,1) ---. G, i = 1,2, such that T/i(t) ---. ai as t ---. 1, T/l(O) =I- T/2(0), and limt->1 ¢(T/i(t)) = Qi, a point in Ii, Note that 0'1 =I- Q2 because if they were equal, then the non
(d) C= \ 0 is locally connected.
°-- .
(c)
ao is locally connected.
Recall the definition of a simple boundary point (14.5.9). The next the orem extends Theorem 14.5.12. 3.6 Theorem. Let 0 be a bounded finitely connected region, G a finitely connected Jordan region, and let g : 0 ---. G be a conformal equivalence.
(a) Ifw is a simple boundary point of 0, then g has a continuous exten sion to 0 U {w}. (b) If R is the collection of simple boundary points of 0, then g has a continuous one-to-one extension to 0 U R. These results on conformal equivalences between finitely connected re gions can be used to extend some of the results of §14.5 to unbounded simply connected regions. Rather than listing all the possibilities, we ex amine a couple that will be of use later. 3.7 Proposition. Let I : [0,00) ---. C be a Jordan arc such that I(t) ---. 00 as t ---. 00 and let 0 = C \ I' If T : ]D) ---. 0 is the Riemann map with
':;:;'~":",;~0;:\1;
15. Finitely Connected Regions
84
15.4. Convergence of Univalent Functions
4. If in Exercise 3, G = n = ][JJ and f : ][JJ ---+ ][JJ is a proper analytic map, show that f is a finite Blaschke product. (See Exercise 7.5.4 for the definition. )
T(O) = a and T' (0) > 0, then T extends to a continuous map of cl][JJ onto COO' Proof. Consider the Mobius transformation T(z) = (z - a)-l and put 0" = TOT. So 0" is a conformal equivalence of][JJ onto A == the complement in the extended plane of the arc >. = To, and 0"(0) = 00. Thus the cluster values of 0" at points of a][JJ all lie on the arc >.. Put A = {z : 1/2 < Izi < 1}j thus O"(A) is the region bounded by the arc >. and the Jordan curve 0"( {izi = 1/2}). According to Theorem 3.5, 0" has a continuous extension to cl A. From here it easily follows that T = (1 - Q'O") / 0" has a continuous extension to cl][JJ. 0
Such regions as n in the preceding proposition are called slit domains and will play an important role in Chapter 17 below. Another fact about mappings between a slit domain and the disk that will be used later is the following. 3.8 Proposition. If n is a slit domain as in the preceding proposition and g : n ---+ ][JJ is a conformal equivalence, then g can be continuously extended to n U {/(O)}. Proof. Of course Wo = ,(0) is a simple boundary point of n, but n is not bounded so that Theorem 3.6 is not immediately available. However if w = g-l(O), T(() = (( - W)-l, and A = T(n) ~ Coo, then h = go T- 1 is a conformal equivalence of A onto II)) with h(oo) = O. If A = {z : 1/2 < Izi < 1} and Al = h-1(A), then Al is a bounded region and T(wo) is a simple boundary point. It is left to the reader to apply Theorem 3.6 to Al and h and then unravel the regions and maps to conclude the proof. 0
Exercises 1. Give the details in the proof of Theorem 3.5.
2. In Proposition 3.7 show that the extension of T to cl II)) has the prop erty that there are unique points a and b on alI)) that map to ,(0) and 00 and that every other point of , has exactly two points in its preimage. 3. A continuous map f : G ---+ n is proper if for every compact set K contained in n, f-l(K) is compact in G. (a) Show that a continuous function f is proper if and only if for each a in aG, Clu(f, a) ~ an. (b) If f : G ---+ n is analytic, show that f is proper if and only if there is an integer n such that for each ( in n, the equation f(z) = ( has exactly n solutions, counting multiplicites.
85
§4
Convergence of Univalent Functions
It is desirable to extend the concept of convergence of analytic functions as discussed in Chapter 7. (In this section the regions will be assumed to be arbitrary; it is not assumed that they are finitely connected.) To begin, assume that for every positive integer n there is a region G n that contains the origin and an analytic function fn : G n ---+ C. How can we give meaning to the statement that Un} converges to a function f : G ---+ C? Without some restriction on the behavior of the regions G n there is no hope of a meaningful concept.
4.1 Definition. If {G n } is a sequence of regions each of which contains 0, define the kernel of {G n } (with respect to 0) to be the component of the set {z: there is an r > 0 such that B(zjr) ~ G n for all but a finite number of integers n} that contains 0, provided that this set is non-empty. If the above set is empty, then {G n } does not have a kernel. When {G n } has a kernel it is denoted by ker{ G n}. Say that {G n} converges to G if G is the kernel of every subsequence of {G n }; this is denoted by G n ---+ G. Note that if {G n } is an increasing sequence of regions and G is their union, then G n ---+ G. Also if {G n } is defined by letting G n = ][JJ when n is even and G n = the unit square with vertices ±1 ± i when n is odd, then ][JJ = ker{Gn } but {G n } does not converge to II)). Also notice that there is nothing special about O. If there is any point common to all the regions G n , it is possible to define the kernel of {G n } with respect to this point. This quasigenerality will not be pursued here. We also note that the kernel of {G n } is the largest region G containing o such that if K is a compact subset of G, then there is an no such that K ~ G n for n ~ no. With the notion of a kernel, the extended idea of convergence of functions can be defined. 4.2 Definition. Suppose that {G n } is a sequence of regions each contains 0 and such that G = ker{G n } exists. If fn : G n ---+ C is a for all n ~ 1, say that {fn} converges uniformly on compacta to f if for every compact subset K of G and for every c > 0 there
of which function : G ---+ C is an no
.
=-=..:::=:.......,==:~..=:.::::::=:::,===-~ ====~-==_:-.::=.~--=.=-_-::.-::=:=-~=-=.-=-==.=--::~::::.,_:::==~--==-::::=::.~===.:=......====-=--"~==.~~":""..=.:::....==-=,:::===:-.==-~::==~=----==--=-._---:-=-:;;:::'-;:'.:?:.-==.-~"""'::
15. Finitely Connected Regions
86
such that Ifn(z) - f(z)1 < c for all z in K and all n abbreviated to fn ..-. f (uc).
I
no. This will be
When the notation "fn ..-. f (uc)" is used, it will be assumed that all the
notation preceding the definition is in force. The following notation will be
used often in this section.
For each n
I I I
~
4.3
~
1, G n is a region containing 0 and fn: G n ..-. C is
an analytic function with fn(O) nn
= 0,
f~(O)
> 0, and
= fn(G n ).
II
The reader is invited to revisit Chapter 7 and verify that most of the results about convergence of analytic functions there carryover to the present setting. In particular, if each f n is analytic and f n ..-. f (uc), then f is analytic and f~ ..-. t(uc). We also have the following. 4.4 Proposition. Assume (4.3). If each fn : Gn ..-. C is a univalent function and fn ..-. f (uc), then either f is univalent or f is identically O. 4.5 Lemma. Assume (4.3). If each fn is a univalent function, fn ..-. f (uc), and f is not constant, then the sequence of regions {nn} has a kernel that contains f(G).
Proof. Let nn = fn(G n ) and n = f(G); so n is a region containing O. Let K be a compact subset of n. Now G can be written as the union of the open sets {Hd, where clHk is compact and contained in H k +!. Thus n = Uk f(H k ) and so there is a k ~ 1 such that K ~ f(H k ). By the definition of a kernel, there is an no such that clHk ~ Gn for n ~ no. Thus K ~ nn for all n ~ no. 0 The reader might want to compare the next result with Proposition 14.7.15, whose proof is similar. 4.6 Lemma. Assume (4.3). If G = ker{G n } exists, each fn is univalent, and f~ (0) = 1 for all n, then there is a subsequence {fnk} such that G = ker{ G nk } exists and {fnk} converges (uc) to a univalent function f : G ..-. C.
Proof. Let R > 0 such that B(O; R) ~ G; let No be an integer such that B(O; R) ~ G n for all n ~ No. Put gn(z) = z/ fn(z). As in the proof of Proposition 14.7.15, Ign(z)1 :::; 4 for Izi :::; Rand Ign(z)1 :::; 41z1R- 1 for z in G n \ B(O;R). Write G = U;:l D j , where each D j is a region containing B(O; R) and cl D j is a compact set that is included in D j +!. Let No < N 1 < ... such that cl D j ~ Gn for n ~ N j . From the preceding obs~ations, {gn : n ~ N j } is uniformly bounded on D j . Let {gn : nEAl} b~~ubsequence that converges uniformly 011 compact subsets of D 1 to an analytic function
""""..,....-..,.."....... . . ,............." " " -....'"'!"."...,.."'!'"'...."......- ....- " " . , , ••- - " . . " " " " " " , . . "...........""'" ----::====,c=,:::":,=,:::::.-,:-::,=====c:::,=:':::-==.:;:;,::::c='o===,,:=,"".===-;:::==:::'="':=--::-""':~::~=:-=-~:=:::-:=--='-'-=:=',=~-=,.=~=~:"::., __ ...:_--':~==~:...-:::::~'=.::~,=-=-_===,=:===
87
15.4. Convergence of Univalent Functions
hI : D 1 ..-. C. There is a subsequence {gn : n E A z} of {gn : n E Ad
that converges in H(D 2 ) to a function h z . Continue to obtain infinite sets
of integers {A j } with A j +! ~ A j , n ~ N j for all n in A j , and such that
{gn : n E A j } converges in H(D j ) to an analytic function hj defined on
Dj. From the nature of subsequences it is clear that hj = hj +! for all j.
Hence there is an analytic function 9 : G..-. C such that glD j = h j for all
j.
Let nj be the j-th integer in A j . Since Dk ~ G nj for j ~ k, G =
ker{GnJ. Also {gn;l is a subsequence of each {gn : n E A k } and so
gnj ..-. 9 (uc). Since gn never vanishes on G n and gn(O) = 1 for all n,
g(O) = 1 and hence 9 does not vanish on G (why?). It is easy to check (as
in the proof of Proposition 14.7.15) that fnj ..-. f = zig (uc). 0
The next result can be considered the principal result of this section. 4.7 Theorem. Assume (4.3). If G n ..-. G, each fn is univalent, and
f:, (0) = 1 for all n, then there is a univalent function f on G such that
fn ..-. f (uc) if and only if nn ..-. n for some region n. When this happens,
n = f(G) and ¢n = f,-;l ..-. f-1(uc).
Proof. Let us first assume that fn ..-. f (uc) for a univalent function f
defined on G; put n = f(G). According to Lemma 4.5, A == ker{nn} exists
and n ~ A. Let ¢n = f;:l : nn ..-. G n . According to Lemma 4.6 there
is a subsequence {¢nk} such that A = ker{nnk} and a univalent function
¢ : A ..-. C such that ¢nk ..-. ¢ (uc).
Fix c > O. Since ¢(O) = 0, there is a p > 0 such that B(O; p) ~ n and
I¢(() - ¢((I)I < c/2 whenever (and are in B(O;p). Let k 1 be chosen so
that B(O; p) ~ nnk when k ~ k 1. Pick r > 0 such that f(B(O; r)) ~ B(O; p)
and choose k 2 > k 1 such that fnk(B(O;r)) ~ B(O;p) for k ~ k z· Finally
pick k 3 > k 2 such that I¢nk(() - ¢(()I < c/2 for k ~ k 3 and 1(1 < p. Thus
for k ~ k 3 and Izi < r we have
t
l¢nk(fnk(Z)) - ¢(f(z))\
:::;
+ <
I¢nk (fnk (z)) - ¢(fnk(z))1 1¢(fnk(Z)) - ¢(f(z))1 c.
But for each k, ¢nk (fnk (z)) = z and so ¢(f(z)) = z for all z in B(O; r). But f(G) = n ~ A so we get that ¢(f(z)) = z for all z in G. Now Lemma 4.5 applied to the sequence {¢nk} implies that G ~ ¢(A) ~ ker{¢nk (nnk)} = ker{G nk }, which equals G since G n ..-. G. From here it 1 . follows that A = nand ¢ = Note that the preceding argument can be applied to any subsequence of {fn}. That is, for any subsequence {fmk} there is a further subsequence {fmk. } such that n = ker{n mk .} and ¢mk . ..-. ¢ = f-1. Now to prove that nn ..-. n. If not, then there is a subsequence {n mk } that either has no kernel or does not have n as its kernel. In either case
r
]
J )
........
'
88
~ ~
15. Finitely Connected Regions
there is a compact subset K of 0 such that K \ On -=/=- 0 for infinitely many n. Thus there is a subsequence {Omk} such that K \ Omk -=/=- 0 for all k. But then the reasoning of the preceding paragraph is applied, and we get a subsequence of {Omk} that has 0 as its kernel, giving a contradiction. Now for the converse. Assume that On ----* 0 and put ¢n = f;;l. So ¢n(O) = 0 and ¢~(O) = 1. If Un} is not convergent, then there is an E > 0, a compact subset K of G, and a subsequence {fnk} such that sup{lfnk(Z) - fn)z) [ ::::: E: z E K} for all nk -=/=- nj' Once again Lemma 4.6 implies there i§ a subsequence {¢nk) of {¢nk} such that 0 = ker{On k) and ¢nk ----* ¢ (uc), a univalent function on O. But we already know that J Onk ----* O. Now we can apply the first half of the proof to this sequence J to obtain the fact that Gnk ----* G = ¢(O) and fnk ----* f = ¢-l(UC). This J J contradicts the fact that sup{lfnk(z) - fnj(z)1 : z E K} ::::: E for all nk -=/=- nj' Thus there is a function f on G such that fn ----* f (uc). Since 1'(0) = 1, it must be that f is univalent. 0 Before proving an extension of the preceding theorem, here is a result that will be useful in this proof and holds interest in itself. This proposition is true for all regions (as it is stated), but the proof given here will only be valid for a smaller class of regions. The complete proof will have to await the proof of the Uniformization Theorem; see Corollary 16.5.6 below. 4.8 Proposition. Let G be a region in C that contains zero and is not equal to C. If f is a conformal equivalence of G onto itself with f(O) = 0 and 1'(0) > 0, then f(z) = z for all z in G. ,
,
I
Proof. Let C be a non-trivial component of the complement of G in Coo' Put 0 = Coo \ C; so 0 is a simply connected region containing G. Let ¢ : 0 ----* l[)) be the Riemann map with ¢(O) = 0 and ¢'(O) > O. Put G 1 = ¢(G), ¢1 = ¢IG, and h = ¢1 0 f 0 ¢1 1. So h is a conformal equivalence of G 1 onto itself with h (0) = 0 and f{ (0) > O. If it is shown that h is the identity map, it follows that f is the identity. Thus it can be assumed that the region G is bounded. Let M be a constant with Izi ::; M for all z in G and pick R > 0 such that B(O; R) ~ G. For n ::::: 1, put fn = f 0 f 0 . . . 0 f, the composition of f with itself n times. So fn(O) = 0 and f~(O) = [I'(o)]n. Using Cauchy's Estimate it follows that 0 < [I' (OW = f~ (0) ::; M / R. Thus I' (0) ::; 1. But applying the same reasoning to the inverse of f implies that [1'(0)]-1 ::; 1. Hence 1'(0) = 1. Let am be the first non-zero coefficient in the power series expansion of f about 0 with m ::::: 2. So f(z) = z +amz m + .... By an induction argument, fn(z) = z+namz m + .... Once again Cauchy's estimate gives that n[aml = nIJAml(O)I/n! ::; M/R m . But this implies that am = 0, a contradiction. Hence the only non-zero coefficient in the power series expansion for f is the first. Thus f(z) = z. 0
~,,«~-m~~
15.4. Convergence of Univalent Functions
89
4.9 Corollary. lfG is a region not equal to C, and if f and g are conformal equivalences of G onto a region 0 such that for some point a in G, f(a) = g(a),I'(a) > 0, and g'(a) > 0, then f = g. The next result is a variation on Theorem 4.7.
4.10 Theorem. Assume (4.3) and suppose that G -=/=- c. If G n ----* G, each fn is univalent, and f~(O) > 0 for each n, then there is a univalent function f on G such that f n ----* f (uc) if and only if On ----* 0 for some region O. When this happens, f (G) = O.
Proof. First assume that f n ----* f (uc) for some univalent function f. Thus f'(O) > 0 and f~(O) ----* 1'(0). Thus if gn = fn/ f~(O) and 9 = f / 1'(0), gn ----* 9 (uc) on G. According to the preceding theorem, gn(G n ) ----* g(G). But gn(G n ) = [fn(0)]-10 n , which converges to [1'(0)]-10 (see Exercise 2). Thus On ----* O. Now assume that On ----* 0 for some region 0 containing O. To avoid multiple subscripts, observe that anything demonstrated for the sequence Un} applies as well to any of its subsequences. Put gn = fn/ f~(O) and assume that f~ (0) ----* o. By Lemma 4.6 there is a subsequence {gnk} that converges (uc) to a univalent function 9 on G. By Theorem 4.7, [f~k(0)]-10nk = gnk(G nk ) ----* g(G). According to Exercise 2, g(G) = C. Since 9 is univalent, this implies that G = C, a contradiction. Now assume that f~(O) ----* 00. The same argument shows that there is a subsequence and a univalent function 9 on G such that [f~k(0)t10nk = gnk(GnJ ----* g(G). Again Exercise 2 applies and we conclude that {gnk (G nk )} can have no kernel, a contradiction. Thus it follows that there are constants c and C such that c ::; f~ (0) ::; C. Suppose that f~(O) ----* a for some non-zero scalar a. Maintaining the notation of the preceding paragraph, there is a subsequence {gnk} such that gnk ----* 9 (uc) for some univalent function 9 on G. Thus fnk = f~k (O)gnk ----* ag = f. Since a -=/=- 0, f is univalent and, by Theorem 4.7, f maps G onto O. Note that 1'(0) = a. Now suppose that the sequence of scalars {f~ (O)} has two distinct limit points, a and {3. The preceding paragraph implies there are conformal equivalences f and h mapping G onto 0 with f(O) = h(O) = 0, 1'(0) = a, and h'(O) = {3. By Corollary 4.9, f = h and a = {3. It therefore follows that the sequence {f~(O)} has a unique limit point a and so f~(O) ----* a. As above, this implies that {fn} converges (uc) to a univalent function f on G that has f(G) = O. 0 This concept of the kernel of regions was introduced by Caratheodory, who proved the following. 4.11 Corollary. (The Catheodory Kernel Theorem) If for each n ::::: 1, f n is a univalent function on l[)) with fn(O) = 0, f~(O) > 0, and fn(l[))) =
~~~.~"""'~-=---q~:-
-=~--=.----:~---;;,~.-
~-~-===~~~~~~;=-"'"""~==-----"""~""~:-::,,--~~~,,,,,,,,,,,~-====,,,"-=,.,.~,==~~~~.=;-=-~---::~~~.::
90
15. Finitely Connected Regions
nn, then {fn} converges uniformly on compact subsets of ID> to a univalent function if and only if {nn} has a kernel n =I- C and nn --; n.
Ii
II :111
Theorem 4.10 is false when G = Co Indeed, if G n = C = nn for all n and fn(z) = n- 1 Z, then G n --; C, nn --; C, but {fn} does not converge to a univalent function. Note that the general purpose of the main results of this section is to provide a geometrically equivalent formulation of the convergence of a se quence of univalent functions. Much of this section is based on §V.5 of Goluzin [1969].
II::·
Iii
i:
Exercises
II
1. If G
= ker{G n } and T is a Mobius transformation, then T(G) = ker{T(G n )}; similarly, if G n --; G, then T(G n ) --; T(G). Give condi tions on an analytic function f so that f(G) = ker{f(G n )} whenever
il !
G = ker{G n }. 2. Assume (4.3) and let {c n } be a sequence of complex scalars. (a) If G n --; G and Cn --; C, then cnG n --; cG. (b) If {G n } has a kernel and Cn --; 00, then cnG n --; Co (c) If {G n } has a kernel and Cn --; 0, then {cnG n } has no kernel. 3. Give the details in the proof of Corollary 4.11. 4. Let G be the region obtained by deleting a finite number of non-zero points from C and show that the conclusion of Proposition 4.8 holds for G. 5. Assume (4.3). If {G n } has a kernel G and G n --; G, then for every a in aG there is a sequence {an} with an E G n such that an --; a.
§5
.._._,.__.. __..
=::.c;;-. ~-:~.~,,~-~::."- .. ~., .• ~~. . :~;~~~.;:::;.~;.",~~.~::::~~__ ~~:::~~-::'_~-·""~-.~~::--~·=:':·~'3'·:~:'::::§'~i:=-':c.~_~-:.
_-:;".. .;:;:;".__ ~::-':." . .__ " .. :~._ .;c;...__ -
'''-_.•.:;::.''- _.
. __
--~~_.,-
91
15.5. Circularly Slit Annulus
unit disk or the whole plane, this latter case only occurring when the region in question is the plane itself. The picture for finitely connected regions is more complicated but still manageable. For our discussion fix an n-connected region G and let K o,· .. ,Kn be the components of eX> \ G with 00 in K o. Let us agree to call a region n a circularly slit annulus if it has the following form:
n=
{( E
C : rl <
1(1
< 1 and ( ~ Cj for 2 ::; j ::; n},
where Cj is a closed proper arc of the circle I(I = r j, rl < r j < 1, and these arcs are pairwise disjoint. For notational convenience set ro = 1. Note that this slit annulus in an n-connected region. Of course there is nothing in what follows that is insistent on having the outer radius of the associated annulus equal to 1; this is done for normalization purposes (see Exercise 1). For notational convenience Co will be the unit circle aID> and C 1 will be the circle {z : Izi = rl}, and these will be referred to as the outer circle and the inner circle of n. The main result of this section is the following.
5.1 Theorem. If G is a non-degenerate n-connected region in C, A and B are two components ofaooG, and a E G, then there is a unique circularly slit annulus
n and a conformal equivalence
A with the outer circle and B with the inner circle and O. The uniqueness statement will follow from the next lemma. Also the proof of this lemma will provide some motivation for the proof of existence. Note that if n and A are two circularly slit annuli and f : n --; A is a conformal equivalence such that f associates the outer circle of n with the outer circle of A, then f extends continuously to the outer circle of n and maps this onto the outer circle of A. (In fact, f extends analytically across the outer circle.) Similar statements apply to the inner circle.
5.2 Lemma. If n and A are two circularly slit annuli and f : n --; A is a conformal equivalence such that f associates the outer and inner circles of
6. Give an example of a sequence of regions {G n } such that for each n -:::: 1, C \ G n has an infinite number of components and G n --; ID>.
n with the outer and inner circles of A, respectively, then there is a complex
7. Assume that G is a finitely connected Jordan region and cp : G --; G is a conformal equivalence; so cp extends to clG. If G is not simply connected and there is a point a in aG such that cp(a) = a, then cp is the identity.
equiv~lence
Conformal Equivalence with a Circularly Slit Annulus
This section begins the presentation of some results concerning regions that are conformally equivalent to a finitely connected region. The reader might consider these as extensions of the Riemann Mapping Theorem. We know that each simply connected region is conformally equivalent to either the
number
a with lal =
1 such that A =
an
and f(z) = az for all z in
n.
Let G be an analytic n-Jordan region such that there is a conformal n. We can assume that G ~ lI)), the outer boundary of G is a lI)), and that . Let 1'1, ... ,1'n be the remaining Jordan curves in the boundary of G and put 1'0 = alI)). Number these curves so that
-__. __.
-;';.0:: -
-_.c::__:, .._
==',
--
-_----::---:.::--_.,---==----=-.....:::::::::::=-=-=:;-..:=:=~--=---'---------_.,---------------
.",.
? :,,'.
15. Finitely Connected Regions
92
,I
I'
Since ¢ does not vanish on G, u = log I¢I is a continuous function on cl G that is harmonic on G. Because of the behavior of ¢ on aG, u is constant on each component of aG; let u == )..j on Ij' Thus u - L~ )..kWk is harmonic and vanishes on 11, ... " n ' But u == 0 on 10 = aJ!)) and so u)..kWk == 0 on aG. Therefore u )..kWk == O. Defining Cjk as in Proposition 1.7 we get
i !
ii
L7
L7
i.ll! ,Ii.'I.1 i
LnIl 271"
n i\:I,
LCjk)..k
!I!!
=
k=l
-1
71" Z
n
*dA.u k
LClk)..k
*du
5.3 n
L
1
{
"Ij
-I
if
j = 1
o
if
2:::; j :::; n.
By Theorem 1.3 there is an analytic function h on W such that n
u(z) = Re h(z)
il li'i l
~I I
'i
,I
i
l
1'1
I
Proof of Theorem 5.1. According to Theorem 3.3 we may assume that G is an analytic n-Jordan region such that the component A of aG is 10 = aJ!)), the outer boundary of G. The component B of aG is another curve. Let b be a point inside this curve; so b 1:- G. If T is a Mobius transformation that maps J!)) onto J!)) and T(b) = 0, then replacing G by T( G) we may assume that 0 belongs to the inside of B. Denote this boundary curve B by 11 and let 12,"" In be the remaining boundary curves. So n(r1jO) = -1, n(ro, 0) = 1,andn(rj;0) = Ofor2:::; j:::; n. ForI:::; j,k:::; n let Cjk
=
~ 271"
1
*dWk.
"Ij
According to Proposition 1.7 the matrix
[Cjk]
is invertible.
Ck
log Iz
-
ak!,
where C1, •.. ,en are the periods of u. Let's calculate these periods. For 1 :::; j :::; n, Cj
It is easy to construct an example of a circularly sl~mm1Usn for which no rotation takes n onto itself. So in this case if f ~ conformal equivalence of n onto itself that maps the outer and inner ~ircles onto themselves, the conclusion of the lemma is that f is the identity function.
+L k=l
G.D
•III
= L)..kWk' k=l
L7
I!
for 2 :::; j :::; n.
n U
Now carry out the analogous argument with 'l/J. So log I'l/JI = TJkWk and L~=l Cjk'r/k = L~=l Cjk)..k for 1 :::; j :::; n. But Proposition 1.7 says that the matrix [Cjk] is invertible and so TJj = )..j for 1 :::; j :::; n. Thus log I¢I = log I'l/JI. Hence I¢I = I'l/JI on G and this implies the existence of a constant a with lal = 1 such that 'l/J = a¢. Thus A = an and f(¢(z)) = a¢(z) for all z in
,I,
=0
Let u be the harmonic function on W given by
¢' ¢ n(¢(rj);O)
=
Cjk)..k
k=l
"Ij
1
=-1
k=l
1au
271"i
i
Corollary 13.4.14 implies there is an anlytic Jordan region W containing cl G such that each harmonic function Wk, 1 :::; k :::; n, has an extension to a function harmonic in W; also denote this extension by Wk· Let a1 = 0 and pick points a2,' .. ,an in the inside of 12, ... "n SO that they lie in the complement of cl W. Since [Cjk] is invertible, there are (unique) real numbers )..l, ••• ,)..n such
"Ij
= ~! 271" "Ij
93
15.5. Circularly Slit Annulus
that
-)..k
k=l
'II
~,,:
~! 271"
L n
"IJ
*du
I!
)..k-
271"
k=l
~,
*dA.uk
'J
n
L)..kCjk k=l
{
-I
j = 1
o
2:::; j $ n.
Thus u = Re h -log 14 Put ¢ = z-l eh. So ¢ is an analytic function on W that does not vanish there. Note that I¢I = IZ\-l eReh = expu. Thus I¢I is constant on each of Aj the boundary curves of G, 11,,,,,,n' In fact on Ij, I¢I == Tj == e • It is claimed that ¢ is the desired conformal equivalence. To establish this, many things must be checked.
--------
~
::=s~~-_._.±a!~22..
~~
gg
- - - - " '..='._,_
.=_
15. Finitely Connected Regions
94
For any complex number (, let N(() be the number of solutions, counting multiplicities, of the equation ¢( z) = ( that lie in the region G. From the Argument Principle 5.4
=L
1
n
N(()
211"i
)=0
1
=L
n(>(/'j); ().
)=0
.J
Now >('Yj) is a closed curve (possibly not a Jordan curve) and, since 1>1 = rj on "(j, this closed curve must be contained in the circle Aj = {(: /(1 = rj}. Thus n(>("(j)~() = 0 for 1(1 > rj and n(>("(j); () = n(>("(j); 0) for I() < rj. Using Proposition 13.3.5 we get that 0 ~ j ~ nand 1(1 1':- rj,
1 1i (1 ')
1 >' -2'-;:
n(>("(j); 0)
11"Z
-
11
11" Z
1 211"
- +h z
'Yj
au
'Yj
1
*d
'YJ
=
i nIl -L:;-: ~
~
m
\
au
j=l
z
~
r
if if
1(1 > 1 and 1(1 > rl 1(1 < 1 and 1(1 < rl rl < 1(1 < 1.
The one possibility that is left out is to have N(() = -1 for 1 < 1(1 < rl' But this is nonsense; the equation >(z) = ( cannot have -1 solutions in G. Thus rl ~ 1. But >( G) is open so that >( () = ( must have some solutions. Thus we have that rl < 1.
n
u.
For 1 ~ j ~ n this last integral is c), which was calcuI~ted previous~. For j = 0 first observe that au is an analytic function on W so that \
n(>("(o); 0)
N«()
if
Equation 5.6 also shows that > is a one-to-one map of G onto its image and >(G) ~ R =: {( : rl < 1(1 < I}. Let Cj = >("(j) ~ A j . Again (5.6) shows that N(() = 1 for ( in Rand 1(1 1':- rj(2 ~ j ~ n). So >(G) ~ {( E R : 1(1 1':- r2,···, rn}. Because > is a horneornorphism of G onto >(G), a>(G) = >(aG) = Uj=2Cj U {( : lei = 1 or rd. This implies two things. First it must be that rl < rj < 1 for 2 ~ j ~ n. Second
'Yj'l'
i
211"
cases (save one) gives that
5.6
n
> _ (
,wC:~;,;;;::::::::;..~~~~:m:·!!:':;:--~··:",~,;,.-:.:·,...,.~:~!;j';;~;'~'C _;;:;:;"~~:;',=..§:;;;;m 15.5. Circularly Slit Annulus 95
'Yj
\\ , au
>(G)=O=:R\UCj j=2
.
Now >(G) and hence 0, must be a connected set and so each Cj is a proper closed arc in the circle A j . That is, 0 is a slit annulus. What about >'(O)? It may be that >'(0) is not positive. However by replacing > by e ilJ > for a suitable and replacing 0 by eilJO, this property is insured. The proof of uniqueness is an easy consequence of Lemma 5.2 and is left to the reader. 0
e
n
-LCj j-l
1. Therefore we obtain
5.5
n(¢bj);O)
~
{
:1
if j
=
0
if j = 1
Consider the annulus G = {z : R < Izi < 1}. The map >(z) = >'Rlz for a scalar>. with \>'1 = 1 is a conformal equivalence of G onto itself. Thus the uniqueness of the conformal equivalence obtained in Theorem 5.1 is dependent on the assignment of two of the boundary components. The use of a rotation shows that in addition to assigning two boundary components it is also necessary to specify the sign of the derivative at a point. What happens if some of the components of Coo \ G are singletons? Suppose that Coo \ G has n + 1 non-trivial components K o, ... ,Kn and m components aI, ... ,am that are singletons. By the application of a simple Mobius transformation, it can be assumed that 00 E K o. Let H = G U {aI, ... , am}. According to Theorem 5.1 there is a conformal equivalence > : H -+ 0 for some circularly slit annulus O. Let Cl:i = >(ai). This leads to the following.
---'"---~-~"~--~_· _ _ """"_·"""""""'."'~;'~~;;:;ii<,;;;=';;;''-;'~:';~~ •..:;--
......
--_!!,!:
96
~
..
",!i....,...
;:"
..
~- .~~;; ~;;;.';n~~;:,:;.;;,.:;~"
15. Finitely Connected Regions
-. .: .....~
15.6. Circularly Slit Disk
97
5.7 Theorem. If n ~ 1 and G is an (n + m) -connected region with only (n + 1) of the components of its complement in Coo non-trivial, then G is conformally equivalent to a circularly slit annulus with m points removed.
5. (a) Let G be a non-degenerate n-connected region with boundary components Co, C 1 , ... ,Cn and let
In this section we will see another collection of canonical n-connected re gions that completely model the set of all n-connected regions.
6.1 Definition. A circularly slit disk is a region 0 of the form n
00,
then A r1 and A
r2
are
Proof. The proofs of (a), (b), and (c) are straightforward. The proof that A r1 and A r2 are conformally equivalent if and only if r1 = r2 follows from the uniqueness part of Theorem 5.1. 0
0= lD>\
j=l
where for 1 :S j :S rj < 1.
be
Exercises 1. Show that every proper annulus is conformally equivalent to one of the form {z : r < Izi < I}. 2. Assume G is an analytic Jordan region and 0 is a circularly slit annulus as in the proof of Theorem 5.1; adopt the notation of that proof. If ¢> : cl G ----> cl 0 is the continuous extension of the conformal equivalence of G onto 0, show that for 2 :S j :S n, ¢> is two-to-one on Ij· (Hint: Let rYg be a Jordan curve in G that contains Ij in its inside and has the remaining boundary Curves of G in its outside. Note that ¢>(rYg ) is a Jordan curve in 0 that contains precisely one boundary arc of 0 in its inside. What happens as E ----> O?) 3. If 0 :S rj < R j :S 00, j = 1,2, show that ann(O; r1, Rd and ann(O; r2, R ) 2 are conformally equivalent if and only if Rdr1 = R 2/r2. 4. Let A = ann(O; r, R), 0 :S r < R :S 00, and characterize all the ana lytic functions f : A ----> A that are bijective.
U Cj,
n,
Cj is a proper closed arc in the circle
Izi
= rj, 0
<
Note that as defined a circularly slit disk contains O. The point 0 will use~LtO-~+ve the uniqueness statement in Theorem 6.2 below. The main of this section is the following.
6.2 Theorem. IfG is a non-degenerate n-connected region, a E G, and A is any component of () G, then there is a unique circularly slit disk 0 and a unique conformal equivalence ¢>; G ----> 0 such that ¢> associates A with ()lD>, ¢>(a) = 0, and ¢>'(a) > O. As in the preceding section, we will prove a lemma that will imply the uniqueness part of the theorem and also motivate the existence proof.
6.3 Lemma. If 0 and A are slit disks and f : G ----> A is a conformal equivalence such that f(O) = 0 and f({)lD» = ()lD>, then there is a complex number 0' with /0'1 = 1 such that A = 0'0 and f(z) = O'Z for all z in O. Proof. Some details will be omitted as this proof is similar to that of Lemma 5.2. Let G be an analytic Jordan region with outer boundary 10 = () lD> such that there is a conformal equivalence ¢> : G ----> 0 and ¢>(() lD» = () lD>. Let a E G such that ¢>( a) = O. Denote the remaining boundary curves of G by /1, ... , In' Adopt the notation in Definition 6.1. Let u = log I¢>I. SO u is a negative harmonic function on G \ {a} and, for o :S j :S n, u == Pj, where exp(pj) = rj. Now ¢> = (z - a)h, where h is an analytic function that never vanishes on G. So u = log Iz - al + log jhl and
~=-===.;:-.:::....----===--,.;=.===,======.==;::::--==.====---=-=---==;:;.::.~-====-=-----==-----=,=o=::--==---:;=·o.=;=;..=::....--oc==:=..=--=~===-~==-~-===-=====';;;:"--===--"-
98
\i'
,i!I'1
15. Finitely Connected Regions
log Ihl is harmonic on G. If WI, ... , wn is the harmonic basis for G, [u Therefore there is an analytic function h on G such that v = Re h. Moreover L: j Pj Wj] - log Iz - aj is harmonic on G and u - L: j Pj Wj vanishes on aG. h can be chosen so that h(a) is real. So u = log Iz - al + Re h. Thus Let = (z - a)e h so that log 1<1>\ = u. It follows that I>I = ro == 1 on n 'Yo and \<1>\ = rj == e Pj on 'Yj for 1 ::::; j ::::; n. For any complex number ( u(z) = -g(z,a) + LPjWj(z), let N(() be the number of solutions of the equation >(z) = (, counting j=1 multiplicities. As in the proof of Theorem 5.1, where g(z, a) = ga(z) is the Green function for G with singularity at a. Thus n
,.1
,'I"I( :)1:1
I,I
II,''II,.
1
:I~: \1'1
2-1 27F
_2j 27r
*du
'Yj
,1:1
*dga +
1
Wj(a)
1 .
+L
II1
I I~
i'I
~j 27r
*du
=
'Yj
I I
t'
! II II
I
Now (-yj) \;;; {(: n(>(-yj); 0). But
CjkPk,
where Cjk is one of the periods of Wk. On the other hand,
1~I.
-1
7r~
'Yj
('
27ri
J'Yj ¢
n
. •. . . ~-n,-then
k=1
f
0
<1>,
then
1<1>1
= 1'Ij;1
and so
",V
27r
J'Yj
27r
-~
27r
J'Yj
( *d logjz -
J'Yj
n(-yj,a)
o.
* d log Iz - a I -
z-a
if j
=0
1::::; j
if
::::; n.
~ { 27r J'Yj
=
{o
1(1 > 1 if 1(1 < 1.
if
Exercises 1. Denote the conformal equivalence obtained in Theorem 6.2 by >(z, a); so >(a,a) = 0 and 1 >(a,a) > O. Show that if [d jk ] is the inverse of the matrix [Cjk], then
n
*dga +
N(()
From here it follows that n = >( G) is a slit disk and is a conformal equivalence of G onto n with >(a) = O. Since h(a) is a real number, a calculation shows that >'(a) > O. The uniqueness follows from Lemma 6.3 and is left to the reader. 0
a
- 2- {
'Yj
1
Proof of Theorem 6.2. Without loss of generality we may assume that G is an analytic Jordan region with outer boundary A = 'Yo = J!]); let 'Yl, ... ,'Yn be the remaining boundary curves. Let ga = -log Iz - al + R a be the Green function for G and let WI, ... ,Wn be the harmonic basis for G. If {Cj k} are the periods for the harmonic basis, let PI, ... , Pn be the unique scalars such that (6.4) is satisfied. Put u = -ga + L:k PkWk and put v = u -log Iz - al· So v is harmonic on G and a computation shows that for 1 S j S n
~ { *dv
27ri
>' >
Collating the various pieces of information we get that if [([I- rj for 0 ::::;
= -Wj(a).
Arguing as in the proof of Lemma 5.2, if'lj; = 'Ij; = 0'.<1> for some scalar 0'. with 10'.1 = 1. 0
'Yj
{:
for 1 ::::; j ::::; n. Therefore PI, ... ,Pn are the unique solutions of the equations
LCjkPk
1 27r i
n(-yji a)
o
6.4
it suffices to calculate
1 _1 1 (_1 +h')
n(>(-Yj); 0)
I.
, I!
lei = rj} so that to calculate N(()
j au
1
I:: n(>('}'j); (). j=O
'YJ
k=1
I
I"
N(() =
j . *dwk 27r Pk
n
'I"'.'1 . 1'
t
k= 1
'YJ
.11
'\1
99
15.6. Circularly Slit Disk
i
II
If
.__._.__
a
I:: CjkPk k=1
al
n
log I>(z, a)1 = -g(z,a)
+
I:: djkwJ(z)wk(a). j,k=1
if
jL.~__
T_hU_S__(_z,_a_)_=__(_a,_z_).
_
15. Finitely Connected Regions
100
2. Show that if G is an n-connected region and a, bEG, then there is a conformal equivalence 'IjJ on G that maps G onto the extended plane with circular slits and 'IjJ(a) = a and 'IjJ(b) = 00. (Hint: Let 'IjJ(z) = ¢(z, a)!¢(z, b) (notation from Exercise 1); use the Argument Principle to show that 'IjJ is one-to-one.)
101
15.7. Circular Region _1_
Hence if f!j
=
~ 2~i 1; !~~dW
7.1 Lemma. Let K be a compact subset of the region G and let f be a bounded analytic function on G \ K. If, for every c > a and every open set U containing K and contained 'in G, there are smooth Jordan curves {"11, ' . , , "In} in U that contain K 'in the un'ion of their insides such that n
L f("(j)2 < c
n
L[osc(f, "Ij)]2 < c, j=l
and
j=1
then f has an analytic cont'inuation to G. Proof. Let "10 be a smooth positively oriented Jordan curve in G \ K that contains K in its inside. Fix a point z in G \ K and inside "10. For c: > a let "11, ... ,"In be as in the statement of the lemma arranged so that they lie inside "10 and the point z is outside each of them. Give the curves "11, ... ,"In negative orientation. So r = {"la, "11, ... ,"In} is a positively oriented Jordan system in G. Let d = dist(z, r). Hence f(z) =
~
2n 2
f
• /'0
t
f(w) dw+ ~ W- Z j=1 2n 2
f
• /';
f(w) dw. W- Z
Fix a point Wj on "Ij' Since z is in the outside of "Ij,
1
f(w) dw 2ni /'; w - z
_1
=
f
_f(wj) ~ 2ni . /'J w - z
+ _1
f
f(w) dw 2ni . /'; W - Z
t, 1; If(W~
<
2~
<
t
<
2~ d
Conformal Equivalence with a Circular Region
A region 0 is a circular region if its boundary consists of a finite number of disjoint non-degenerate circles. In this section it will be shown that every n-connected region is conformally equivalent to a circular region bounded by n + 1 circles. This proof will be accomplished by the use of Brouwer's Invariance of Domain Theorem combined with previously proved conformal mapping results. But first the uniqueness question for such regions will be addressed. Recall that the oscillation of a function f on a set E is osc(f; E) = sup{lf(x) - f(Y)1 : x, Y E E}. For a curve "I, f("() denotes its length.
f(w) - f(wj) dw. w- z
osc(f,"Ij),
n
3. How must Theorem 6.2 be changed if some of the components of the complement of G are trivial?
§7
f
2ni . /';
<
j __fz(W )
Ildw l
f("Ij )8j j=1 2n d
[
t
J-l
1/2 [
f("(j)2 ]
t
1/2
f!;]
J=l
c 2nd'
Since c was arbitrary,
1
f(z) = _1 f(w) dw 2n i- /'0 w z for all z inside "10 and lying in G \ K. Thus this formula gives a meanS of defining f on the set K that furnishes the required analytic continuation.
/-
For the following discussion, let's fix some notation. Let 0 be a circular region whose outer boundary is "10 = &][Jl. Let "11, ... , "In be the remaining circles that form the boundary of 0; put "Ij = &B(aj; Tj). Now look at the region that is the reflection of 0 across the circle "Ij' Recall (§3.3) that the reflection of a point z across the circle "Ij is the point w given by T
7.2
2
J w=a·+J - '. Z -
aJ
Note that this formula is the conjugate of a Mobius transformation. Thus the image of 0 under this transformation is another circular region; call it 01j for the moment. Note that the outer boundary of 01j is the circle "Ij' Thus 0(1) == 0 U 0 11 U ... U 0ln U "11 U .. , U "In is also a circular region, though its complement has more components (how many more?). Now for each 01j and for each of its boundary circles "I, look at the image of 01j under the reflection across "I. Denote the resulting circular regions by {02j : 1 ::; j ::; N 2 }. Note that each of these is the image of 0 under two successive reflections and hence is the image of 0 under the composition of two transformations of the type given in (7.2). It is easy to check that the composition of two such transformations is a Mobius transformation. Let
~
102
I I I
I
15. Finitely Connected Regions
0(2) be the union of 0(1), the regions {n 2j : 1 :::; j :::; N 2 }, together with the circles forming the inner boundary of 0(1). Continue. This produces for each integer k a collection of circular regions {Okj : 1 :::; j :::; Nd and an increasing sequence of circular regions {O(k)}, where O(k) is the union of O(k - 1), the regions {Okj : 1 :::; j :::; Nd, together with the circles that form the inner boundary of O(k - 1). Put 0(00) = UkO(k). So
0(00)
=
OUU{clOkj : k ~ landl:::;j:::; Nd.
For k ~ 1 and 1 :::; j :::; N k , Okj = Tkj(O), where T kj is a Mobius trans formation if k is even and the conjugate of a Mobius transformation if k is odd. Let /kji, 1 :::; i :::; n, be the circles that are the components of 80 kj exclusive of its outer boundary. So the components of oO(k) are the unit circle together with the circles {,kji : 1 :::; j :::; N k , 1 :::; i :::; n}. Put rkji = the radius of /kji'
7.3 Lemma. With the preceding notation,
=
2::2:)r~ji: 1:::; j:::; N k , 1:::; i:::; n} < 00. k=1 I
II '
II
Proof. First note that the regions {Okj : k ~ 1, 1 :::; j :::; Nd are pairwise disjoint. Let Dkj be the derivative of T kj when k is even and the derivative of the conjugate of T kj when k is odd. Let B = B( a; r) be a disk contained in o and consider the disks Tkj (B). By Koebe's 1/4- Theorem, T kj (B) contains a disk ofradius r IDkj(a)1 /4. Thus Area(Okj) ~ 1rr2IDkJ(a)12 /16. Thus
7.4
According to the Distortion Theorem (14.7.14), for 1 :::; i :::; n there is a constant M i such that for k ~ 1 and 1 :::; j :::; N k ,
Now /kji
= Tkjbi) for 21rrkji
=
IDkj(a)l.
IDkj(z)1
Idzl:::; M i
~'"'Y1l;
.......
·_~,.:.ftt~t;lra=;ZTE~J
103
15.7. Circular Region
Proof. By Theorem 3.4 it follows that f maps each circle in the bound ary of 0 homeomorphically onto a circle in the boundary of A. By using appropriate Mobius transformations, it suffices to consider the case that the outer boundaries of 0 and A are the unit circle and f maps olD> onto itself. If '1]1, ... , '1]n are the other boundary circles of A, the numbering can be arranged so that fbi) = '1]i for 1 :::; i :::; n. Adopt the notation of Lemma 7.3 and the analogous notation for the circular region A. By using the Reflection Principle there is for each k ~ 1 a conformal equivalence !k : O(k) ~ A(k) that continues f. Hence we get a conformal equivalence foo : 0(00) ~ A(oo). Note that K = lD> \ 0(00) is compact. Now apply Lemma 7.1 to show that foo has a continuation to lD>. Once this is done the proof will be complete. Indeed, if g = f- 1 : A ~ 0, the same argument shows that g has a continuation to lD> that is a conformal equivalence on A(oo). In fact goo = f;;}. Since z = goo 0 foo = foo 0 goo, it must be that the continuation of f to lD> is a conformal equivalence whose inverse is the continuation of g to lD>. Thus f is a conformal equivalence of ][JI onto itself. According to Theorem 6.2.5, f is a Mobius transformation. To see that Lemma 7.1 is applicable to foo' let U be an open subset of ][JI that contains K and let E > O. By Lemma 7.3 and an easy topological argument, there is an integer m such that for k ~ m each of the circles /kji is contained in U and n
/---2:: 2::{r~ji: l:::;j:::; N k, 1:::; i:::; n} <
~:;:c m:i:~of "';;' m can
E.
also be chosen w tbat
=
1:::; i:::; n} < E.
But !k maps the circle /kji onto the circle '1]kji· So if I5kji = osc(f, /kji), this last inequality implies that
= 2::2::{I5~ji:l:::;j:::;Nk' l:::;i:::;n} <E. Thus the curves {/mji : 1 :::; i :::; n, 1 :::; j :::; N m } are those required by Lemma 7.1. D
!Dkj(a)1 21rri.
Combining this with (7.4) gives the proof of the lemma.
The topological lemma that follows will be used in the existence proof. D
7.5 Proposition. If 0 and A are circular regions and f : 0 conformal equivalence, then f is a Mobius transformation.
III
.... ~
k=m
1 :::; i :::; n. Thus
ii
':...._
k=m
k=1
,d :::; M i
:.; ".....
2:: 2::{P~ji: 1:::; j:::; Nk'
= 2 2::2::{IDkj (a)1 : 1:::; j :::; Nd < 00.
sup{IDkj(z)1 : z E
~"_~~
~
A is a
7.6 Lemma. (a) Let {Od be circularly slit disks such that olD> is the outer boundary of each and each Ok is n-connected. If 0 is a non-degenerate n-connected region with outer boundary 8][J1 and Ok ~ 0 in the sense of (4.1), then 0 is a circularly slit disk.
,....
lOU.. ...
I
15. Finitely Connected Regions
104
'I:!
(b) Let {G d be circular regions such that 8 J!)) is the outer boundary of each and each G k is n-connected. If G is a non-degenemte n-connected region with outer boundary aJ!)) and G k ---> G in the sense of (4.1), then G is a circular region. i
Proof. (a) Let 11,' .. ,In be the bounded components of the complement of n; put 10 = 8J!)). Let 0 < 8 < dist(rj,'i) for i =I- j and 0 :::; i,j :::; n. Choose an integer k 1 such that for k :::: k 1, K == {z E J!)); dist(z, an) :::: 8} c:;;: n k . If 0 :::; j :::; n and aj E Ij, then Exercise 4.5 implies there is an integer k 2 > k 1 such tb.at for k :::: k 2 , dist(aj,an k ) < 8/2. Fix k :::: k 2 for the moment and let ajk E an k with lajk - ajl < 8/2. If Ijk is the component of an k that contains ajk, then it must be that Ijk c:;;: {z : dist(z"j) < 8}. Indeed the fact that K c:;;: n k and n c:;;: J!)) implies that Ijk c:;;: J!)) \ K. Since Ijk is connected, the choice of 8 implies that Ijk c:;;: {z: dist(z"j) < 8}. Thus we have that for k :::: k 2 , the proper arcs that form the bounded components of the complement of n k can be numbered Ilk, ... "nk so as to satisfy
7.7
Ijk c:;;: (rj)6
== {z: dist(z"j) < 8}.
Now fix j, 1 :::; j :::; n. For each ( in Ij, Exercise 4.5 implies there is a sequence {Cd with (k in an k such that (k ---> (. By (7.7), (k E Ijk for k :::: k 2 . If Ijk is contained in the circle {( : 1(1 = pjd, this implies that Pjk = I(jkl ---> 1(1· Since ( was an arbitrary point of Ij, this shows that Ij is contained in the circle b : iii = Pj}, where Pjk ---> Pj as k ---> 00. But n is connected and no component of the complement of n is trivial. Thus Ij is a proper closed arc in this circle and hence n is a circularly slit disk. The proof of part (b) is similar. 0
I
7.8 Lemma. (a) Let {G k} and G be circular regions such that a J!)) is the outer boundary of each and each is n-connected; for each k :::: 1 let ik : G k ---> nk be a conformal equivalence onto a circularly slit disk
III
, I !
! II Ii
I II
nk
with outer boundary
aJ!)) such that fdO) = O,f~(O) > 0, and ik(aJ!))) = aJ!)). IfGk ---> G in the sense of (4. 1), then fk ---> f (uc), where f is a conformal equivalence of G onto a circularly slit region n with outer boundary aJ!)), and n k ---> n. (b) Let {nd and n be circularly slit disks such that aJ!)) is the outer bound ary of each and each is n-connected; for each k :::: 1 let ¢k : nk ---> G k be a conformal equivalence onto a circular region G k with outer boundary a J!)) such that ¢k(O) = 0, ¢~(O) > 0, and ¢k(aJ!))) = em. If nk ---> n in the sense of (4.1), then ¢k ---> ¢ (uc), where ¢ is a conformal equivalence of n onto a circularly slit region G with outer boundary a J!)), and G k ---> G. Proof. As with the preceding lemma, the proofs of (a) and (b) are similar, so only the proof of (a) will be presented. First we show that {f~ (On is bounded away from O. Let C 1 ,· . . ,Cn be the circles in the boundary of G that are different from J!)) and choose E > 0
I
a
III
i
105
15.7. Circular Region
such that the closure of V = {z : dist (z, 8 IDJ) < E} is disjoint from each Cj . Since Gk ---> G, there is a k 1 such that for k :::: k 1, cl V n aGk = a J!)). Thus each fk with k :::: k 1 admits a univalent analytic continuation to G k U V, which will also be denoted by ik (Proposition 13.4.4). It is straightforward to check that Gk U V ---> G U V. We now want to construct certain paths from 0 to points on the unit circle. Let z E 8J!)) and consider the radius [0, z]. This radius may meet some of the circles C j . Enlarge these circles to circles D 1 , .•• ,Dn so that they remain pairwise disjoint, do not meet J!)), and do not surround O. Whenever [0, z] meets D j , replace the segment of [0, z] by half of this circle. Each circle D j has radius less than 1 so that we arrive at a path from 0 to z that lies entirely in G, stays well away from the circles C 1 , ... ,Cn , and has length less than 1 + mr. Thus we can find an open subset U of G such that 8 J!)) c:;;: cl U c:;;: G U V, 0 E U, and for each z in J!)) there is a path in U from 0 to z having length :::; 1 + mr. Let k 2 > k 1 such that clU c:;;: G k U V for k :::: k 2 . According to Theorem 14.7.14 there is a constant M such that If~(z)1 :::; M If~(O)1 for all k :::: k 2 and z in cl U. If Izi = 1, let I be a path in U for 0 to z with length (r) :::; 1 mr. Thus 1 = lik(z)1 :::; .f1If~1 Idwl :::; M If~(O)I(l + mr). Hence {f~(On is bounded below. Now we will show that U~(On is bounded above. Let Ck = [f~(O)tl and put gk = Ck ik. If U~(On is unbounded, there is a subsequence {CkJ that converges to O. But according to Lemma 4.6, by passing to a further subsequence if ~cessary, there is a univalent function g : G ---> C such that 9k j ---> y.{ncf'fheorem 4.7 implies that Ck j n kj = gkj (G kj) ---> g( G). But e ets n k 1. are all contained in J!)) and since Ck·J ---> 0, {Ck J n k J } can have kernel, a contradiction. Thus U~(On must be bounded. Remember that anything proved about the seqll~nces Ud or U~(On is also true about any of their subsequences. Suppose that fHO) ---> a, a non-zero scalar. Using the notation of the preceding paragraph, there is a subsequence {gkJ and a univalent function g on G such that gk) ---> 9 (uc). Thus n kj = ik)(GkJ ---> ag(G). Thus f == a g is a conformal equivalence of G onto a region nand n kj ---> n. Since the outer boundary of n is J!))' Lemma 7.6 implies that n is a circularly slit disk. Now suppose that {ik j } and {fmj} are two subsequences of Ud such that ik j ---> f and fm; ---> h, where f and h are conformal equivalences of G onto circularly slit disks n and A, respectively, with f(O) = h(O) = 0, f'(O) > 0, and h'(O) > O. Thus ¢ = f 0 h~1 is a conformal equivalence of A onto n with ¢(O) = O,¢'(O) > 0, and ¢(aJ!))) = aJ!)). By Lemma 6.3, A = nand ¢(() = ( for all ( in A. Thus h = f. To recapitulate, each subsequence of {fd has a subsequence that con verges to a conformal equivalence of G onto a circularly slit disk, and each convergent subsequence of {fd has the same limit point. This implies that Ud converges to a conformal equivalence f of G onto the circularly slit
a
a
+
~
a
,
"u _.~.:-=
15. Finitely Connected Regions
106
disk O. Hence Ok
---->
0 by Theorem 4.10.
''l!.~~
D
7.9 Theorem. II G is a non-degenerate finitely connected region, A is a component 01 the extended boundary 01 G, and a E G, then there is a unique circular region 0 and a unique conlormal equivalence I : G ----> 0 such that I associates A with aID, I(a) = 0, and f'(a) > O. Proof. Once existence is established, uniqueness follows from Proposition 7.5 as follows. Suppose that for j = 1, 2, Ij : G ----> OJ is a conformal equivalence that associates A with ID such that Ij (a) = a and Ij (a) > O. Then g = h 0 III is a conformal equivalence of 0 1 onto O 2 , g(aID) = aID, g(O) = 0, and g'(O) > O. It follows that g(ID) = ID and so g(z) = ,\(z - a) (1- az) -1 . The remaining information about 9 shows that g( z) = z for all z. Now for the proof of existence. Let 9 be the collection of all circular regions G that are n-connected such that a E G and ID is the outer boundary of G. Let H be the collection of all circularly slit disks 0 that are n-connected such that ID is the outer boundary of O. According to Theorem 6.2, for every G in 9 there is a unique 0 in H and a conformal equivalence I : G ----> 0 such that 1(0) = 0, f' (0) > 0, and I associates aID with aID. This defines a map F : 9 ----> H by F(G) = 0 whenever G and 0 are conformally equivalent. To prove the theorem it suffices to show that F is surjective. We now topologize 9 and H. I[ G E g, let G1 , ... Gn be the circles that form the boundaries of the bounded components of the complement of G. Each circle Gj is determined by its center Zj = aj + ibj and its radius rj. Thus G can be identified with the point in IR 3n with coordinates (aI, bl , rl, ... ,an, bn , r n); let g' be the set of such points in IR 3n that are so obtained. Note that g' is a subset of
a
I
I
I I
IIII
a
{(a1,b 1,r1"" ,an,bn,rn ):
~:;.,
n._.__~~_.,,"_,~ . . _-" '-__-',,:,;;.';;~;;=~:::;~~o:===_~':::.':':== ____"~~
:"~-~~~:~....d!;:;:",;:::_;,
_,-,~_::: __::::'.":"--
__--"'::-:~' __.;=-~~=
, :. :.-;- __--=--="".' _",: ;"
15.7. Circular Region
-=_,-_:;;-::=_~=-._-;o=--
107
7.10 Claim. Both (]' and H' are connected open subsets of IR 3n •
Exercises 1. Give an example of a sequence of circularly slit disks that converges to ID in the sense of (4.1). 2. W!YJ.t-happens in Theorem 7.9 if some of the components of the com
~ement of G are trivial? 3. Refer to Exercise 3.3 for the definitions of a proper map. Let G be a non-degenerate n-connected region and let Aut(G) be the group of all conformal equivalence of G onto itself. Show that if I : G ----> G is a proper map, then I E Aut(G) (Rad6 [1922]) (Hint: Take G to be a circular region with outer boundary a]])). Use the hypothesis that I is proper to show that I extends to clG. Now extend I by the Schwarz Reflection Principle. Now I defines a permutation of the boundary circles 11, ... "n of G. Show that for some integer m :::: 1, the m-th iterate of I, 1m , defines the identity permutation. Thus, without loss of generality, we may assume that I defines the identity permutation of the boundary circles. Now use the method of the proof of Proposition 7.5 to extend I to a proper map of]])) onto]])) and use Exercise 3.4. Also show that I fixes the points of]])) \ G( 00).)
a < a~ +b~ < 1 and a < rj < I}.
g' is a proper subset of this set since we must have that the circles compris ing the boundary of G do not intersect. I[ G E g, let G' be the corresponding point in g'. I[ 0 E H, let 11, ... "n be the closed arcs that constitute the bounded components of the complement of O. Each Ij is determined by its beginning point (j = Cij + i(3j and its length OJ as measured in a counterclockwise direction. Thus we also have that each 0 in H can be identified with a point 0' in IR 3n ; let H' = {O' : 0 E H}. The function F : 9 ----> H gives rise to a function F' : g' ----> H'. Give g' and H' their relative topologies from IR 3 n. It is left to the reader to show that a sequence {Gd in 9 converges to G in 9 (in the sense of Definition 4.1) if and only if G~ ----> G' in g'. Similarly for convergent sequences in Hand H'. We will show that F is surjective by showing that F' is a homeomorphism.
~ ,,_~~
The proof of this claim is left to the readers so that they might more thoroughly familiarize themselves with the notation and the identifications. At this point it seems safe to abandon the distinction between the regions and the corresponding points in IR 3 n and we do so. Note that F is injective by the uniqueness statement of Theorem 6.2. Let Gk ----> G in 9 and put Ok = F(G k ) and 0 = F(G). According to Lemma 7.8, Ok ----> 0 and so F is continuous. By the Invariance of Domain Theorem, F : 9 ----> H is an open map. Suppose F is not surjective; let 0 1 E H \ F(Q) and let 0 0 = F(G o) E F(Q). Since H is an open connected subset of IR 3n , there is a path 0 : [0,1] ----> H with 0(0) = 0 0 and 0(1) = 0 1 , Since F(Q) is open, there is a 7 with a < 7 ::; 1 such that 0(7) ~ F(Q) and O(t) = F(G(t)) E F(Q) for a ::; t < 7. Let a < tk < 7 such that tk ----> 7; so O(tk) ----> 0(7). I[ Gk = F- 1 [0(tk)], then Lemma 7.8 implies that G k ----> G, a circular region, and it must be that F( G) = 0(7), contradicting the fact that 0(7) ~ F(Q). Thus F is surjective, proving the thereom. 0
a
I
u
4. I[ G is a non-degenerate n-connected region and I : G ----> G is a conformal equivalence such that I(z) = z for three distinct points z in G, then I is the identity.
'I ·i'
,
':. 0,
~_~ .~~:~~4?!f~~":~w,_=_,~~L_=4"'*£~_'~"'."'~~"""~"~"~"T<~~_.f?ZlE~
Chapter 16 Analytic Covering Maps In this chapter it will be shown that for every region n in the plane such that C \ n has at least two points, there is an analytic covering map T: ][)) ---. n. This is the essential part of what is called the U niformization Theorem. The reader might want to review §9.7 before going much further. The reader will be assumed to be familiar with some basic topological notions such as the fundamental group and its properties. Some topological facts will be proved (especially in the first section) even though they may seem elementary and assumable to many.
§1
Results for Abstract Covering Spaces
Recall that if n is a topological space, a covering space of n is a pair (G,T) where G is also a connected topological space and T : G ---. n is a surjective continuous function with the property that for every ( in n there is a neig~mJllid-~ of ( such that each component of T-l(~) is mapped bypomeomorphically onto ~. Such a neighborhood ~ of ( is called a fundamental neighborhood of (. We will be concerned in this book with covering spaces (G, T) of regions n in C where G is also a region in C and T is an analytic function. Such a covering space will be called an analytic covering space. It is not dif ficult to check that (C,exp) and (C \ {O}, zn), for n a non-zero integer, are both analytic covering spaces of the punctured plane. Of course any homeomorphism yields a covering space and a conformal equivalence gives rise to an analytic covering space. In fact our main concern will be analytic covering'spaces (G, T) of regions n in C where G = lDJ. But for the moment in this section we remain in the abstract situation where G and n are met ric spaces. In fact the following assumption will remain in force until it is supplanted with an even more restrictive one. Assumption. Both G and n are arcwise connected and locally arcwise connected metric spaces, (G, T) is a cove1ing space of n, ao E G, and 0'0
=
T(aO)
E
n.
Recall that a topological space is said to be locally arcwise connected if . for each point in the space and each neighborhood of the point there is a smaller neighborhood that is arcwise connected. A good reference for the
11
," .1
16. Analytic Covering Maps
110
III!I
general theory of covering spaces is Massey [1967]. Because certain notions will be so frequently used and to fix the notation, we recall a few facts from §9.7. If,: [0,1] --+ 0 is a path with ,(0) = 0:0, then there is a unique path i: [0,1] --+ G with i(O) ao and TO i (9.7.5). Such a path i is called an ao-lifting (or ao-lift) of ,. Moreover if (5 : [0,1] --+ 0 is another path with initial point 0:0 and (j is its ao-lifting,then i and (j have the same final point in G if, and (5 are fixed end point (FEP) homotopic in 0 (9.7.6). Indeed i and (j are FEP homotopic under this hypothesis. A loop in 0 is a closed path. if, : [0,1] --+ 0 is a loop with ,(0) = ,(I) = 0:0, say that, is a loop with base point 0:0. We begin with some basic results about "liftable" continuous functions.
=
i,
III [III;
I"·,Ii I!
:
II' I1
=,
1I
1.1 Lemma. Suppose (G, T) is a covering space of 0, X is a locally con nected space, f : X --+ 0 is a continuous function, and T : X --+ G is a continuous function such that ToT = f. If x E X, ~ is a fundamen
I
tal neighborhood of ~ = f (x), U is the component of T- 1(~) containing z = T(x), and W is a connected neighborhood of x such that f(W) ~ ~, then TIW = (TIU)-1 0 (fIW).
Using the above notation, T(W) is connected and contained in z E T(w); therefore T(W) ~ U. Since f(w) = T(T(w)) for all w in W, the lemma follows. D Proof.
T-l(~), and
ill
1[1 '
IIII
I
1.2 Proposition. Suppose (G, T) is a covering space of 0, X is a connected locally connected space, f : X --+ 0 is a continuous junction, and Sand T are continuous functions from X into G such that f = ToT = T 0 S. If there is a point Xo in X for which T(xo) = S(xo), then T = S. Proof. Set Y = {x EX: T(x) = S(x)}. By hypothesis Y =1= (/) and clearly Y is closed. It suffices to show that Y is also open. If x E Y, let z = T(x) = S(x), ~ = f(x), ~ a fundamental neighborhood of ~, and let U be the component of T-1(~) that contains z. If W is a neighborhood of x such that f(W) ~ ~, then the preceding lemma implies that TIW = (TIU)-1 0 (fIW) and also SIW = (TIU)-1 0 (fIW). Thus W ~ Y and Y is open. D
1.3 Theorem. Suppose (G, T) is a covering space of 0, X is a connected locally connected space, and f : X --+ 0 is a continuous junction with f(xo) = 0:0 = T(ao). If X is simply connected, then there is a unique continuous function T : X --+ G such that f = ToT and T(xo) = ao·
If x EX, let (5 be a path in X from Xo to x. So f 0 (5 is a path in f(x). Let i bet the au-lift to G. Define T(x) = 1(1); it must be shown that T(x) is well defined. So suppose that (51 is another path in X from Xo to x. Since X is simply connected, (51 ' " (5 (FEP) in X. Thus f 0 (51 ' " f 0 (5 (FEP) in O. By the Abstract Monodromy Theorem, the Proof.
o from 0:0 to
,
16.1. Abstract Covering Spaces
111
au-lift of f 0 (51 has the same final point as i. Therefore the definition of T(x) does not depend on the choice of the curve (5 and is well defined. To prove continuity let x E X and let z = T(x). Let (5 be a path in X from Xo to x, , = f 0 (5, and let i be the au-lift to G. So z = 1(1). Let ~ be a fundamental neighborhood of ( = f(x) and let U be the component of T-1(~) that contains z. Choose ~ so that it is arcwise connected. Let W be an arcwise connected neighborhood of x in X such that f(W) ~ ~. If w is any point in W, let A be a path in W from x to w. So f 0 A is a path in ~ from ( = f(x) to f(w). Thus the z-lift of f 0 A is j, = (TIU)-1 0 f 0 A. But A(5 is a path in X from Xu to wand this leads to the fact that T( w) = j,(l) = (TIU)-I(f(W)). Thus TIW = (TIU)-1 0 flW and T is continuous. It is easy to check from the definition that ToT = f and T(xu) = au. Uniqueness is a consequence of Proposition 1.2. D
1.4 Definition. If (G 1, Td and (G 2 , T2) are covering spaces of 0, a ho momorphism from G 1 to G 2 is a continuous map T : G 1 --+ G 2 such that T2 0 T = Tl. If T is a homeomorphism as well, then T is called an isomor phism between the covering spaces. If (G, T) is a covering space of 0, an automorphism of the covering space is a covering space isomorphism of G onto itself. Let Aut(G, T) denote the collection of all automorphisms of (G, T). Note that the inverse of an isomorphism is an isomorphism and Aut( G, T) is a group under composition. The next result collects some facts about homomgrpbisills of covering spaces that are direct consequences of the pre ce9Hfgresults. /
1.5 Proposition. Suppose that (G 1,T1) and (G 2,T2) are covering spaces of 0 with T(a1)
= T(a2) = 0:0.
(a) If T : G 1 --+ G 2 is a homomorphism of the covering spaces, then T is a surjective local homeomorphism.
(b) IfG 1 is simply connected, there is a unique homomorphism T: G 1 G 2 with T(al) = a2.
--+
(c) Any two covering spaces of 0 that are simply connected are isomor phic. Proof. (a) Without loss of generality we may asume that T(ad = a2. To see that T is surjective, let Z2 be an arbitrary point in G 2 and let 12 be a path in G 2 from a2 to Z2. Let, = T2 0i2 and let il be the aI-lift of ,. Now To 11 is a path in G 2 with initial point a2 and T2 0 T 0 il = ,. By the uniqueness of path lifts, T 0 11 = 12. Thus Z2 = i2 (1) = T( 11 (1)) and T is surjective. Since T1 is a local homeomorphism, the fact that T is a local homeomorphism is immediate from Lemma 1.1. (b) This follows from Theorem 1.3.
16. Analytic Covering Maps
112
(c) Let T : G 1 ---> G 2 be a homomorphism with T(ad = a2 and let 8 : G2 ---> G I be a homomorphism with 8(a2) = al. Thus 80 T is a homorphism of G I into itself that fixes the point al. From Proposition 1.2 it follows that 80 T is the identity homorphism of G I and so T must be a isomorphism (with 8 as its inverse). D
I1
II
Ililll
"III
'i •
I],!I
'1 1,1 11 1
,1
1I,Ii"I
1'I 1
Iii
II
il !
1"11
,I
ii!
III
Thus we say that a simply connected covering space of n is the universal covering space of n. The reason for the word "universal" here is contained in (b) of the p~eceding proposition. The reason for the use of the word "the" is contained in (c). Of course this uniqueness statement does not imply existence. The existence of a universal covering space for subsets of the plane will be established before the end of this chapter. Existence results for more general spaces can be found in any standard reference.
, =
1. Suppose (G, T) is a covering space of n and ~ is a subset of n that is both arcwise connected and locally arcwise connected. Show that if H is a component of T-I(~), then (H, T) is a covering space of ~.
2. If T(t) = et , show that (IR, T) is a covering space of oJ[)). Find Aut(lR, T). 3. For the covering space (iC,exp) of iC \ {O}, find Aut(iC,exp). 4. For the covering space (iC \ {O}, zn) of iC \ {O}, find Aut(iC \ {O}, zn).
5. For any z in G, show that {T(z) : T E Aut(G, subset of G.
1.7 Corollary. If (G, T) is the universal covering space of nand Z E G, then T-I(T(Z)) = {T(z) : T E Aut(G,
Tn.
,T
'T
,T
,5
,T
'T
Exercises
Proof. Apply Theorem 1.3 and, as in the proof of the preceding proposi tion, show that the resulting homomorphism is an automorphism. D
Proof. Let T E Aut(G, T) and let i be any path in G from ao to T(ao). Since T E Aut(G, T), , = TO i is a loop in n with base point ao. If ij is another path in G from ao to T(ao), then the simple connectedness of G implies that ij and i are FEP homotopic in G. Thus TO ij and, are homotopic in n. This says that for each T in Aut( G, T) there is a well defined element in 7r(n). It will be shown that the map T ---> is an anti-isomorphism of Aut(G, T) onto 7r(n). (The prefix "anti" is used to denote that the order of multiplication is reversed.) This implies that T ---> 'T I defines an isomorphism between the two groups, proving the theorem. Let 8 and T be two automorphisms of the covering space; it will be shown that ,ST = 'T'S' To this end let i and ij be paths in G from au to T(ao) and 8(ao), respectively. SO = Toi and = Toij. Now 8 0 i is a path in G from 8(ao) to 8(T(au)) so that (80 i)ij is a path in G from au to 8(T(ao)). Therefore ,ST = TO [(80 i)ij] = [T 0 (80 i)] [T 0 ij] = 'T '5' To show that the map is surjective, let, E 7r(n, au) and let i be the ao-lift of ,. According to Corollary 1.6 there is a unique automorphism T such that T(au) = i(1), It follows from the definition that = ,. Finally let's show that the map is injective. Suppose T E AUt(G,T) and
113
rv 0 in n. Let i be the au-lift of i; so T(ao) = i(I). Now, rv 0 implies that, is homotopic to the constant path ao. But the Abstract Monodromy Theorem implies that the au-lifts of au and, have the same end point. Since the au-lift of the constant path au is the constant path ao, this says that T(au) = au. By Proposition 1.2 this implies that T is the identity automorphism. D
1.6 Corollary. If (G, T) is the universal covering space of nand al and a2 are two points in G with T(al) = T(a2), then there is a unique T in Aut(G,T) with T(al) = a2.
1.8 Theorem. If(G, T) is the universal covering space ofn, then Aut(G, T) is isomorphic to the fundamental group of n, 7r( n). III1
16.2. Analytic Covering Spaces
Tn is a closed discrete
= {z : 0 < Re z < r} and T(Z) = eZ, show that (G,T) is a covering space of ann(O; 1, e T ) and find Aut(G, T).
6. If G
7. If G = {z: 0 < Re z} and T(Z) = eZ, show that (G,T) is a covering ~a:ceor{z~ 1 < Izi < oo} and find AUt(G,T).
8. Prove that for the universal covering space, the cardinality of {T(z) : T E Aut(G, is independent of the choice of z.
Tn
§2
Analytic Covering Spaces
In this section we restrict our attention to analytic covering spaces and derive a'few results that are pertinent to this situation. Assume that nand G are regions in the plane and T : G ---> n is an analytic function that is also a covering map.
2.1 Proposition. If (G, T) is an analytic covering space of n, H is an open subset of the plane, f : H ---> n is an analytic junction, and T : H ---> G is a continuous function such that ToT = f, then T is analytic. Proof.
This is an immediate consequence of Lemma 1.1. D
2.2 Corollary. If(G,T) and (G 2 ,T2) are analytic covering spaces ofn and T: G I ---> G 2 is a homomorphism, then T is analytic.
._": ::--======::::'-:====:::='==='=-==--====-::=:. = . --:==:=-"':==:=-""=:="-:-":== :__.=
=~-==-=--_==:=-===-==---===--====:==--_::.===7.=:==-~'==--====--=====-~-=:=""-=-===---==--=-":==----=--==---=====--==.=::==:-..=::..-::-.=::::=====---===----=-::::::.==..:===.::::.-=-===========.::::===--===:==-
- =.,..
~-
16. Analytic Covering Maps
114
2.3 Corollary. If (G, I) is an analytic covering space of junction in Aut(G, ,) is a conformal equivalence ofG.
n, then every
2.4 Corollary. If (G I , Id and (G 2 , 12) are analytic covering spaces of and T : G I ----+ G 2 is an isomorphism, then T is a conformal equivalence.
2.5 Corollary. If 1 : ]])) ----+ n is an analytic covering map, 1(0) 1'(0) > 0, then 1 is unique.
=
DO,
and
2.6 Corollary. Suppose (G, I) is an analytic covering space of n, X is a region in the plane, and f : X ----+ n is an analytic function with f(xo) = DO = 1(0.0)' If X is simply connected, then there is a unique analytic function T : X ----+ G such that f = ,oT and T(xo) = 0.0· Just combine the preceding proposition with Theorem 1.3.
--
-
D
It will be shown later (4.1) that if n is any region in the plane such that its complement in C has at least two points, then there is an analytic covering map from the unit disk]])) onto n. The next result establishes that for this to be the case it must be that the complement has at least two points. Recall that Co denotes the punctured plane.
Proof. If a, b E C with a =f 0, then az + b is a Mobius transformation of C onto itself. It is easy to see that if I(Z) = exp(az + b), then (C, I) is a covering map of Co. For the converse assume that G is a simply connected region in C and (G, I) is a covering space of Co. We have already seen that (C, exp) is a covering space for Co so Proposition 1.5 and Corollary 2.4 imply there is a conformal equivalence h : C ----+ G such that exp z = I( h( z)) for all z in C. But the only way such a conformal equivalence can exist is if G = C, But then Proposition 14.1.1 implies that h(z) = az + b for complex numbers a and b with a =f O. D
2.8 Example. Let 0. be the annulus {z : 1 < Izi < p}, where p = err. If
I( z)
=
exp
{i
log
C~ :) + ~ } ,
- .. _"._ ""'.___
_
..
~--=-""~"",~"""==-==~;=--=-""",===:e".,,,~,,,,=,,~=-=-===,,_=_m~.=--=.,,,,,=_W~"-=''='~~~:=.....,.~~
115
then (]])), I) is the universal analytic covering space for group Aut(]])), I) are the Mobius transformations Tn(z)
where
f3 _ e2rrn n e2rrn
-
=
n. The maps in the
z - f3n 1 - f3nz'
e 2rrn
+ e- 2rrn
= tanh(271"n).
To see this first observe that the map 1 above can be expressed as a composition of two maps: the first is a conformal equivalence of ]])) onto a vertical strip; the second is the exponential map, which wraps the strip around the annulus an infinite number of times. To show that the auto morphisms of this covering space have the requisite form uses some algebra and the following observation. (Another verification of the statements in this example can be obtained by using Exercise 1.6 and the form of the conformal equivalence of ]])) onto the relevant vertical strip.) If (]])), I) is the universal analytic covering space for 0., then every T in Aut(]])), I) is necessarily a conformal equivalence of ]])) onto itself. Hence T is a Schwarz map, T(z)=eifiZ-p, 1 - f3z
e
for some choice of and f3, 1f31 < 1. For convenience, whenever (]])), I) is the universal analytic covering space for a region 0. in C, we will let ///---
2.7 Proposition. The pair (G, I) is a universal analytic covering space of Co if and only if G = C and I(Z) = exp(az + b) for some pair of complex numbers a and b with a =f O.
"-=..,~-
16.2. Analytic Covering Spaces
n
Proof. Suppose that J1, : ]])) ----+ n is another such map. By Proposition 1.5 there is an isomorphism f : (]])), I) ----+ (]])), J1,) of the covering spaces with f(O) = O. By the preceding corollary, f is a conformal equivalence of the disk onto itself and thus must be a Mobius transformation. But f(O) = 0 and 1'(0) > 0; therefore f(z) = z for all z. D
Proof.
.~
QT
= Aut(]])), I).
By Theorem 1.8, QT ::::; 71"(0.). It is known that for regions 0. in C, 71"(0.) is a free group (see Exercise 3). If Coo \ 0. has n + 1 components, then 71"(0.) is the free group with n generators. If Coo \ n has an infinite num ber of components, then 71"(0.) is the free group on a countable number of generators. Exercises 1. For Izl < 1, define I(Z) = exp[z(l -lzl)-l] and show that (]])), I) is a covering space of C \ {O}. 2. Show that for an n-connected region generators.
n, 71"(0.) is a free group on n
3. Let K be a compact subset of C and put 0. = C \ K. If 11,···, In are paths in 0., let 8> 0 such that dist(rj, K) > 8 for 1 :::; j :::; n. Let 0.(8) = {w En: dist(w,K) > 8}. Show that 0.(8) is finitely connected and contains the paths 11,"" In' Show that the fundamental group of 0. is a countably generated free group.
116
16. Analytic Covering Maps
4. Let n = {z : 1 ::: Aut(]]Jl, T). .
Izl}
and let T(Z) = exp
16.3. The Modular Function
117
[~]. Explicitly determine
I I
I I
G
I I
I I
§3 The Modular Function
,
/
I
Here we examine a special analytic function called the modular function. This is a special analytic covering map from the upper half plane onto the plane with the POi~lts 0 and 1 deleted.
-1
"
I
\ I
I
~
o
1
Figure 16.1.
3.1 Definition. A modular transformation is a Mobius transformation M(z)
3.2
=
az + b cz+d
such that the coefficients a, b, c, d are integers and ad - be = 1. The set of all modular transfonnations is called the modular group and is dentoed byM. The designation of M as a group is justified by the following proposition. The proof is left as an exercise.
-
J
----------
---------- -/---:-~--:--:--:-~-.:; '.
__ ,
fi.. .
o
1/3
1/2 Figure 16.2.
3.3 Proposition. M is a group under composition with identity the iden tity transformation I(z) = z. If M(z) is given by (3.2), then M-1(z)= dz-b. -cz+a Let lHI denote the upper half plane, {z : 1m z > o}.
3.4 Proposition. If M EM, then M(lR oo ) = lRoo and M(lHI) = lHI. Proof. The first equality follows because the coefficients of M are real numbers. Thus the Orientation Principle implies that M(lHI) is either the upper or lower half plane. Using the fact that M E M and consequently has determinant 1, it follows that 3.5
1
1m M(z) = Icz
+ dl 2 1m z.
This concludes the proof. 0 Let 9 denote the subgroup of M generated by the modular transforma tions z 3.6 and T(z) = z +2. S(z)=2z+1 Let
3.7
This set G is illustrated in Figure 16.1. Note that G n lR = 0. The reason for defining G in this way and excluding portions of its boundary while including other parts of fJG will become clear as we proceed. For now, gentle reader, please accept the definition of G as it is.
3.8 Example. If S is as in (3.6) and G is as above, then S( G) = {( : 1m ( > 0, 12( - 11 ::; 1, 14( - 31 ?: 1, 16( - 11 > 1, and 112( - 51 > I}. Consequently, S( G) n G = 0. The region described as S( G) is depicted in Figure 16.2. To see that the assertation of this example is true, first let L_ and L+ be the rays {z: 1m z > 0 and Re z = ±1} and let C_ and C+ be the half circles {z : 1m z > 0 and 12z ~ 11 = I}. Observe that S(L±) and S(C±) must be circles that are perpendicular to the real line. Since S(O) = 0, S( -1) = 1, S(I) = 1/3, and S(oo) = 1/2, applications of the Orientation Principle show that S(G) has the desired form. 3.9 Lemma. Let G and 9 be as in (3.6) and (3.1).
(a) If M 1 and M 2 E 9 and M 1 =f M 2 , then M1(G) (b) lHI = U{M(G) : MEg}.
n M 2 (G)
= 0.
(c) 9 consists of all modular transformations M having the form (3.2) G= {z ElHI: -1 ::;Re z< 1, 12z+11?: 1, 12z-11 > I}.
such that the coefficients a and d are odd and band c are even inte gers.
118
119
16.3. The Modular F\mction
16. Analytic Covering Maps
Proof. Let 01 be the collection of all modular transformations described in part (c) and note that if Sand T are defined as in (3.6), then they belong to 01' The reader can verify directly that 01 is a group under composition, and so it follows that 0 ~ 01.
3.10 Claim. If M 1, M 2 E ~h and M 1 #- M 2 , then MdG) n M 2 (G) =
0. Figure 16.3.
Because 0 1 is a group, to prove this claim it suffices to show that if ME 91 and M #- I, then M(G) n G = 0. This will be done by considering two possible cases.·The first case is that e = 0 in (3.2); so M(z) = (az+b)ld, where a and d are odd integers and b is even. Since 1 = ad - be = ad, a = d = ±1. Thus M(z) = z + 2n, with n in Z and n#-O since M #- I. It is now clear that M(G) n G = 0. Now assume that M has the form (3.2), M E 0 1 , and e #- O. Notice that the closed disk B( -1/2; 112) meets G without containing in its interior any of the points -1,0, or 1, while any other closed disk whose center lies on the real axis and that meets G must have one of these points in its interior. This leads us to conclude that if M(z) #- S(z)+b, where S is the transformation in (3.6) and b is an even integer, then Jez + dl > 1 for all z in G. Indeed, if there is a point z in G with lez + dl ~ 1, then B(-dle; 1/1el) n G #- 0. For the moment, assume this closed disk is not the disk B( -1/2; 112). As observed, this implies that 0, +1, or -1 E B(-dle; 1/Ie!); let k be this integer. So Ik + dlel < 1/1el and hence Ike + dl < 1. But e is even and dis odd, so that ke + d is odd, and this furnishes a contradiction. Thus 3.11
Note that (3.5) implies that if M #- S + b for S as in (3.6) and b is even, then 1m M(z) < 1m z for all z in G. The definition of G and (3.5) show that when M equals S(z) + b, we still have that 1m M(z) ~ 1m z for all z in G. Now let M be an arbitrary element of the group 0 1 , It is left to the reader to show that either Mar M- 1 is not of the form S + b, with S as in (3.6) and b an even integer. Thus either 1m M(z) < 1m z for all z in Gar 1m M- 1(z) < 1m z for all z in G; assume for the moment that the former is the case. If there is a z in G n M(G), then 1m z = 1m M-1 M(z) < 1m M(z) < 1m z, a contradiction. Thus G n M(G) = 0. If M- 1(z) < 1m z for all z in G, a similar argument also shows that G n M(G) = 0. This establishes Claim 3.10. Now let L = U{M(G) : M E Q}, a subset of 1HI. If T is as in (3.6), then Tn(z) = z+2n. So for each n in Z, L contains Tn(G), which is the translate of G by 2n. As discovered in Example 3.8, S maps the circle 12z + 1\ = 1 onto the circle \2z - 11 = 1. Combining these last two facts (and looking at Figure 16.3) we get that
jez + dl > 1 for all z in G,
provided -die #- -1/2 or 1/1e\ #- 1/2. On the other hand, if -die -1/2 and 1/1el = 1/2, then e = ±2 and d = ±1. All the entries in a Mobius transformation can be multiplied by a constant without changing the transformation, so we can assume that e = 2 and d = 1. But the condition that the determinant of M is 1 implies that a - 2b = 1, so a = 1 + 2b. Thus az+b M(z) = 2z + 1
z
3.12
kl 2': 1
for all odd integers k. Fix a (in 1HI. Because {e( +d: e, dE Z} has no limit point in the plane, there is an element of this set having minimum modulus. Thus there is a transformation Mo(z) = (aoz + bo)/(eoz + do) in 0 such that !eo( + dol ~ le( + dl for all M(z) = (az + b)/(ez + d) in G. By virtue of (3.5) we get that 1m Mo(O 2': 1m M(O for all M in O. Putting z = M o(() and realizing that M M o E 0 whenever M EO, this shows that
+ 2bz + b 2z + 1
S(z)
L contains every z in IHI that satisfies 12z -
+ b.
3.13 ~(
So (3.11) holds whenever M is not the transformation S(z) + b.
If I~
';"'~"
j "'1"'
;
:
:
\~
~\ .;.:;:",
1m z 2': 1m M(z) for z = M o(() and for all M in O.
Let n E Z and continue to have z = M o (() for a fixed ( in 1HI. Applying (3.13) to M = ST-n and using (3.5) as well as a little algebra shows that 1m z 2': 1m ST-n(z)
= "L
1m z
A
"'2
120
16. Analytic Covering Maps
Now apply (3.13) to M = s-lT-n and perform similar calculations to get that 1m z 1m z > . - 1- 2z + 4n + 11 2
121
16.3. The Modular Function
this but with a little more finesse and accuracy by using the action of the group g.) Define the following sets:
But 1m z > 0 so these inequalities become
L1
=
{z:Imz~O, Rez=O}U{oo};
12z - 4n + 11 ~ 1 and J2z - 4n -11 ~ 1 for all n in Z.
L2
=
{z:Imz~O, 12z-11=1};
But {4n -1, 4n + 1: n E Z} is the collection of all odd integers, so (3.12) implies that z = M o(() E L. Thus ( = MO-l(z) E MO-l(L) = L. Since ( was arbitrary, this proves (b). Remember that we have already proved that 9 s;; gl. Let M l E gl. By part (b) there is a transformation M in 9 such that M (G) n M l (G) =I- 0. But both M and M l are in gl, so Claim 3.10 implies that M l = MEg. This proves (c). By (3.10), part (a) also holds. 0
L3
=
{z:Imz~O,
Now the stage is set for the principal result of this section. It is convenient to let CO,l == C \ {O, I}. The reader might want to carry out Exercise 1 simultaneously with this proof.
So L 1 U L 2 U L 3 = oooGo. For j = 1,2,3, L j is connected and so the same holds for f (L j ). By an orientation argument (supply the details) ~ O} U {oo};
f(Ld
{z: z = Re z
f(L 2 )
{z: z = Re z an 0
f(L 3 )
{z: z = Re z
~
z
~ I};
~ I} U {oo}.
Thus f(int G)
3.14 Theorem. If G and 9 are as in (3.6) and (3.7), then there is an analytic function ), : IHI ---+ C having the following properties.
Rez=I}U{oo}.
f(G)
Extend
f
to a function ), : IHI
---+
C\[O,oo); CO,l == O. C by letting
(a) ), 0 M = ), for every M in g. (b) ), is univalent on G. (c) )'(lHI) = CO,l' (d) ), is not analytic on any region that properly contains lHI. (e) (1HI,),) is a covering space of CO,l' Proof.
Let Go = {z: 1m z > 0, 0 < Re z
),(z) = f(M- 1 (z))
3.15
< 1, and 12z -11> I};
so Go S;; G. Let fo : Go ---+ IHI be any conformal equivalence and extend fo to a homeomorphism of clooGo onto cloolHI (14.5.7). Let A be a Mobius transformation that maps fo(O) to 0, fo(1) to 1, fo(oo) to 00, and takes lHI onto itself. Hence f = A 0 fo is a homeomorphism of clooGo onto cloolHI, a conformal equivalence of Go onto 1HI, and fixes the points 0, 1, and 00. Since f is real-valued on aGo, f can be extended to int G by reflecting across Re z = O. This extended version of f satisfies f(x+iy) = f( -x + iy) for x+iy in Go. (Note that f is also real-valued on the portions of 12z-11 = 1 and 12z + 11 = 1 that lie in cl G, so that by successively reflecting in these circles and the circles and vertical lines of the various reflected images of G it is possible to extend f to all of lHI. The argument that follows does just
whenever MEg and z E M(G). According to Lemma 3.9 this function ), is well defined. Why is ), analytic? Observe that if Sand T are defined as in (3.6), then ), is analytic on V == int [G U T- l (G) U S-l (G)] and V is an open set that contains G. Thus for every M in g, ), is analytic on a neighborhood of M (G). Thus ), is analytic on all of 1HI. Clearly conditiOn (a) of the theorem holds because of the definition of ),. Because f is defined on G by reflecting a conformal equivalence, it is one-to-one on G, so (b) holds. Since f(G) = 0, (c) is also true. Part (d) is a consequence of the following.
3.16 Claim. {M(O) : M
E
Q} is dense in R
In fact if this claim is established and ), has an analytic continuation to a region A that contains lHI, then A must contain a non-trivial open interval (a, b) of R But (3.16) implies that for every a in (a, b) there is a sequence {M,J in Q such that Mk(O) ---+ a. Let y ---+ 0 through positive values. Then ),(M,,(O)) = limy-+o )'(Mdiy)) = limy-+o )'(iy) = ),(0) = O. Thus a is an accumulation point of zeros of )" a contradiction.
122
16. Analytic Covering Maps
To prove Claim 3.16 let M E Q and suppose M is given by (3.2). So
M (0) = bjd. Now b alld c are even integers, a and d are odd, and ad-be = 1. It suffices to show that for every even integer b and odd integer d such that band d have no common divisor, there is an odd integer d such that band d have no common divisor and there is an odd integer a and an even integer c with ad - be = 1. Equivalently, show that given integers m and n such that 2m + 1 and 2n have no common divisor, there are integers p and q such that
J
(2p
+ 1)(2m + 1) -
16.4. Applications of the Modular Function
Having done this the function is unique and is the classical modular function of complex analysis. Remarks. 1. The material at the beginning of this section has connections with the study of the group SL 2 (lR), modular forms, and number theory. The interested reader should see Lang [1985]. Also see Ford [1972] for the classical theory.
(2n)(2q)
2. A nice reference for the Uniformization Theorem for Riemann sur faces is Abikoff [1981]. Also see Ahlfors [1973].
4pm + 2m + 2p + 1 - 4nq.
This happens if and only if p and q can be found so that -m = p(2m + 1) - (2n)q. But {p(2m + 1) - (2n)q : p, q E Z} is the ideal in the ring Z generated by 2m + 1 and 2n. Since these two integers have no common divisors, this ideal is all of Z. It remains to prove (e). If ( E C \ [0, 00) and 8 > a is chosen sufficiently small that B = B((;8) S;;; C \ [0,00), let Uo = f-I(B) S;;; int C. It is easy to verify that )..-I(B) = U{M(Uo) : M E Q} and so {MCUo) : M E Q} are the components of )..-I(B). Now assume that ( = t E (0,1) and choose 8 > a sufficiently small that B = B (t; 8) S;;; Co, I. An examination of the definition of f as the reflection of a homeomorphism of clooCo onto cloolHl, shows that f-l(t) = {Z+,L} S;;; BC, where 12z± TIl = 1. Also f-I(B) consists of two components, U+ and U_, where z± E U±. Thus fCU±) = B n cl (±IHl). If S is the Mobius transformation defined in (3.6), then it can be verified that S maps the circle 12z + 11 = 1 onto the circle 12z - 11 = 1. (The reader has probably already done this in Example 3.8.) Since t = f(z±) = )..(z±) = )"(S(z±)), it follows that S(L) = z+. Hence Uo == U+USCU-) is a neighborhood of z+ and )..(Uo) = fCU+)u)..(SCU-)) = f(U+) U fCU-) = B. Therefore {M(Uo) : ME Q} are the components of )..-I(B) and clearly).. maps each of these homeomorphically onto B. The final case for consideration, where (= t E (1,00), is similar to the preceding one and is left to the reader. 0 3.17 Example. If T(Z) = )..(i(l- z)j(1 covering space of CO,I'
+ z)),
123
Exercises 1. This exercise constructs the exponential function by a process similar to that used to construct the modular function and is meant to help the student feel more comfortable with the proof of Theorem 3.14. (Thanks to David Minda for the suggestion.) Let Co be the strip {z : a < 1m z < Jr} and let cPo be the conformal equivalence of Co onto IHl with cPo(-oo) = 0, cPo(+oo) = 00, and cPo (0) = 1. Now extend cPo to an analytic function cP defined on C = {z : -Jr < 1m z < Jr} by reflection. If Tn(z) = z + 2Jr in for n in Z, extend cP to a function Eon C by letting E(z) = cP(Tn(z)) for an appropriate choice of n. Show that E is a well defined entire function that is a covering map of Co and prove that E is the exponential function.
2. If ).. is the modular function, what is Aut(lHl, )..)? (By Theorem 1.8, Aut(IHl,)..) ~ Jr(CO,I), which is a free group on two generators. So the question asked here can be answered by finding the two generators of Aut(lHl, )..).) 3. Let {a, b} be any two points in C and find a formula for an analytic covering (JI)),T) of C \ {a,b}. If ao E C \ {a,b}, show that T can be chosen with T(O) = ao and T' (0) > O.
then (JI)),T) is an analytic
3.18 Definition. The function).. obtained in Theorem 3.14 is called the
modular function. Calling ).. the modular function is somewhat misleading and the reader should be aware of this when perusing the literature. First).. is not unique, as can be seen from the proof, since its definition is based on taking a conformal equivalence fo of Co onto !HI. Given fo, ).. is unique. It is possible to so construct the function).. that ),,(0) = 0, )..(1) = 00, and )..(00) = o.
§4
Applications of the Modular Function
In this section the Picard theorems are proved as applications of the mod ular function and the material on analytic covering spaces. Proofs of these results have already been seen in (12.2.3) and (12.4.2), where the proofs were "elementary."
-r~~
,I
124
16. Analytic Covering Maps
4.1 Little Picard Theorem. If f is an entire function that omits two values, then f is constant.
I I
III !I I
I
i
Proof. Suppose f is an entire function and there are two complex numbers a and b such that a, b 'Ie I(c). By composing with a Mobius transformation, we may assume that I(C) <:;;; CO,I' Let 7: J])) ----> CO,1 be a universal covering map. According to Proposition 2.1, there is an analytic function T : C ----> J])) such that 7 0 T = f. But the T is a bounded entire function and hence constant. Thus I is constant. 0 As we know from §14.4, the key to the proof of the Great Picard Theorem is to prove the Montel-Caratheodory Theorem. 4.2 Montel-Caratheodory Theorem. II X is any region in the plane
and F = {I: I is an analytic function on X with I(X) ~ Co,d, then F is a normallamily in C(X, Coo). Proof. To prove that F is normal, it suffices to show that for every disk
B = B(zo; R) contained in X, FIB is normal in C(B, Coo). To prove this,
it suffices to show that for any sequence {In} in F, there is either a subse
quence that is uniformly bounded on compact subsets of B or a subsequence
that converges to 00 uniformly on compact subsets of B (why?). So fix such a sequence {In}. By passing to a subsequence if necessary, we may assume that there is a point 0: in Coo such that In(zo) ----> 0:. We consider some cases. Claim. If 0: E C and 0: =I- 0,1, then {In} has a subsequence that is uniformly bounded on compact subsets of B. Let 7 : J]))
----> CO,1
Now assume that 0: = 1. Since each function In never vanishes, there is an analytic function gn : B ----> C with g;' = In. Since In(zo) ----> 1, we can choose the branch of the square root so that gn(ZO) ----> -1. But once again, gn(B) <:;;; CO,I' So the claim implies there is a subsequence {gnk} that is uniformly bounded on compact subsets of B. Clearly this implies that {Ink} is uniformly bounded on compact subsets of B. Assume that 0: = O. Here let gn = 1 - In' So gn(ZO) ----> 1 and gn never assumes the values 0 and 1. The preceding case, when applied to {gn}, shows that {In} has a subsequence that is uniformly bounded on compact subsets of B. Finally assume that 0: = 00. Let gn = 1/ In' Again gn is analytic, gn(B) <:;;; CO,I, and gn(ZO) ----> O. Therefore the preceding case implies there is a subsequence {gnk} that converges uniformly on compact subsets of B to an analytic function g. But the functions {gnk} have no zeros while g(zo) = O. By Hurwitz's Theorem (7.2.5), 9 == O. It now follows that Ink(Z) ----> 00 uniformly on compact subsets of B. 0 4.3 The Great Picard Theorem. II I has an essential singularity at z = a, then there is a complex number 0: such that lor ( =I- 0: the equation
I(z) = ( has an infinite number 01 solutions in any punctured neighborhood ola. For a proof the reader can consult Theorem 7.4.2. Exercises 1. Prove Landau's Theorem: If ao and al are complex numbers with ao =I- 0,1 and al =I- 1, then there is a constant L(ao, ad such that whenever r > 0 and there is an analytic function Ion rJ])) with 1(0) = ao, 1'(0) = aI, and I omits the values 0 and 1,then r :s; L(ao, ad· (Hint: Let 7 : J])) ----> CO,1 with 7(0) = ao and 7'(0) > O. Use Corollary 2.6 to find an analytic function T : rJ])) ----> J])) such that 7 0 T = I and T(O) = O. Now apply Schwarz's Lemma.)
be a universal analytic covering map and let b. =
B(o:; p) be a fundamental neighborhood of 0:. Fix a component U ofT- 1 (b.). Since In(zo) ----> 0:, we may assume that In (ZO) E b. for all n 2 1. According to Theorem 1.3 and Proposition 2.1, for each n 2 1 there is an analytic function Tn : B ----> J])) such that Tn(zo) E U and 70 Tn = In on B. But {Tn} is a uniformly bounded sequence of analytic functions and so there is a subsequence {Tnk } that converges in H(B) to an analytic function T. Clearly IT(z)1 :s; 1 for all z in B. If there is a z in B such that IT(z)1 = 1, then T is constantly equal to the number A with IAI = 1. In particular, Tnk(zo) ----> A. But (7IU)-1(0:) = limk(7IU)-I(fnk(zO)) = limk Tnk(zo) =,\, a contradiction. Thus it must be that IT(z)1 < 1 for all w in B. Let K be an arbitrary compact subset of B. From the discussion just concluded, there is a number r such that M = max{IT(z)1 : z E K} < r < 1. Let k o be an integer such that ITnk (z) - T(z)1 < r - M for all z in K and k 2 ko· Hence ITnk (z)1 :s; r for all z in K and k 2 ko. But 7 is bounded on B(O;r). It follows that {Ink} = {7 o T nk } is uniformly bounded on K. Since K was arbitrary, this proves the claim.
125
16.5. Existence
2. Prove Schottky's Theorem: For 0: in CO,1 and 0 < (3 < 1, there is a constant C (0:, (3) such that if I is an analytic function on J])) that omits the values 0 and 1 and 1(0) = 0:, then I/(z)1 :s; C(o:,(3) for Izi :s; (3. (See 12.3.3.)
§5
The Existence of the Universal Analytic Covering Map
The purpose of this section is to prove the following theorem. 5.1 Theorem. II
n is
any region in C whose complement in C has at
16. Analytic Covering Maps
126
least two points and ao E 0, then there is a unique analytic covering map T: ]]Jl --7 0 with T(O) = ao and T'(O) > O. The proof requireH some preliminary material. The first lemma is a re statement of Exercise 3.3.
covering map TO : ]]Jl --7 0 0 with TO(O) = ao and T6(0) > O. Let ~o be a fundamental neighborhood of ao and let h o : ~o --7 ]]Jl be the local inverse of TO with ho(ao) = 0 and h~(O) > O. Define F to be the collection of all analytic functions 9 : ~o --7 ]]Jl having the following properties:
5.2 Lemma. If a, b, and ao E iC with ao # a, b, then there is an analytic covering map T : ]]Jl --7 iC \ {a, b} with T(O) = ao and T' (0) > O.
(a)
g~(ao)
> 0 if T'(a) > O.
g(ao) and g'(ao)
(b)
If,: [0,1] --70 is a path with ,(0) = ao, then there is an analytic continuation {(gil ~t) : 0 S; t S; I}
(c) If (gl, ~d and (g2' ~2) are obtained from (go, ~o) by analytic contin uation and gl (wd = g2 (W2) for some points Wi in ~ 1 and W2 in ~2,
= W2
and gl(W) = g2(W) for all W in
of (g, ~o) such that gt(~t) 5.4
<
(c)
C;;;; ]]Jl
for all t;
If (gl,~d and (g2,~2) are obtained from (g,~o) by analytic continuation and gl (Wi) = g2 (W2) for some points Wi in ~1 and W2 in ~2, then
Wi = W2 and gl(W) = g2(W) for all win
(b) If,: [0,1] --7 n is a path with ,(0) = ao, then there is an analytic continuation {(gt, ~t) : 0 ~ t ~ I} of (go, ~o) such that gt(~t) C;;;; G for all t.
then Wi
> 0;
(a)
The next lemma is technical but it contains the vital construction needed in the proof.
5.3 Lemma. Suppose 0 is a region in iC and (G, T) is an analytic covering of 0 with T(a) = ao for some point a in G. If ~o = B(ao; TO) is a funda mental neighborhood of ao and go is the local inverse of T defined on ~o such that go(ao) = a, then the following statements hold:
127
16.5. Existence
~1
n ~2'
(d) If (g, ~) is obtained by analytic continuation of (go, W for all W in ~.
~o),
then T(g(W)) =
Proof. Part (a) is trivial. To prove (b), use Lebesgue's Covering Lemma to find a 8 > 0 with 8 < ro and such that for each t, 0 ~ t ~ 1, B(,(t); 8) is a fundamental neighborhood. Let 0 = to < h < ... < t n = 1 be such that ,(t) E B(,(tj);8) for t j -l ~ t ~ tj, 1 ~ j ~ n. In particular, ,(0) = ao E ~1 == B(,(td; 8); let gl : ~1 --7 G be the local inverse of T such that gl(aO) = a. Clearly gl = go on ~o n ~1' Hence (gl,~l) is a continuation of (go,~o)· Similarly, let ~2 == B(,(t 2);8) and let g2 : ~2 --7 G be the local inverse of T such that g2(,(h)) = gl(,(h)); so g2 = gl on ~1 n ~2' Continuing this establishes (b). Let {(gt, ~t) : 0 ~ t S; I} be any continuation of (go, ~o) along a path, and put F = {t E [0,1] : T(gt(Z)) = Z for all z in ~d. Since 0 E F, F # 0. It is left as an exercise for the reader to show that F is closed and relatively open in [0,1] and so F = [0,1]. This proves (d). Using the notation from (c), the fact that gl and g2 are local inverses of T (by (d)) implies that Wi = T(gl(Wl)) = T(g2(W2)) = W2. The rest of (c) follows by the uniqueness of the local inverse. 0 Proof of Theorem 5.1. Let a and b be two distinct points in the com plement of 0 and put 0 0 = iC\{a,b}. By Lemma 5.2 there is an analytic
~1
n ~2'
Note that conditions (b) and (c) are the conditions (b) and (c) of Lemma 5.3 with G replaced by ID. Since ho E F, F i= 0. Since each function in F is bounded by 1, F is a normal family. The strategy here, reminiscent of the proof of the Riemann Mapping Theorem, is to show that the function in F with the largest derivative at ao will lead to the proof of the theorem. Put I'\, = sup{g'(ao) : 9 E F}; so 0 < I'\, < 00. Let {hd C;;;; F such that h~ (ao) --7 1'\,. Because F is a normal family, we can assume that there is an analytic function h on ~o such that h k --7 h uniformly on compact subsets of ~o. So h(ao) = 0 and h'(ao) = I'\, > O. Thus (5.4.a) is satisfied; it will be shown that (b) and (c) of (5.4) also are satisfied so that hE:F. Let, be a path in 0 with ,(0) = ao and choose 8> 0 so that B(ao; 8) s:;; ~o and B(,(t); 8) C;;;; nforO S; t S; 1. Let 0 = to < h < ... < t n = 1 be such that ,(t) E ~j == B(')'(t j );8) for tj-l S; t S; tj' By hypothesis each function h admits unrestricted analytic continuation throughout ~1, and so the k Monodromy Theorem implies there is an analytic function h l k : ~1 --7 ]]Jl with h l k = h k on ~1 n ~o. Continuing, for 1 S; j S; n we get an analytic function hjk : ~j --7 ID such that hjk = hj- l ,k on ~j n ~j-l' Fix j for the moment. So {hjk : k ;::: I} is a uniformly bounded sequence of analytic functions on ~j and must therefore have a subsequence that converges uniformly on compact subsets of ~j to an analytic function gj : ~j --7 ID. By successively applying this argument we see that the functions gj can be obtained so that gj = gj-l on ~j n ~j-l' Thus {(gj, ~j) : 1 S; j S; n} is an analytic continuation of (h, ~o) and (5.4.b) is satisfied. Now adopt the notation of (5.4.c) with h replacing the function g. Argu ing as in the preceding paragraph, there are sequences of analytic functions {(h l k' ~d} and {(h 2k , ~2)} such that for j = 1,2, (hjb ~j) is a continu
128
16. Analytic Covering Maps
ation of (hk' .6.0 ) and hjk -+ gj uniformly on compact subsets of .6. j as k -+ 00. Now Hurw;itz's Theorem (and Exercise 7.2.11) implies that for j = 1,2 and all sufficiently large k there are points Wjk in .6. j such that h 1k (Wlk) = gl(Wl) = gz(wz) = hZk(wZk); these points also can be chosen so that Wjk -+ Wj as k -+ 00. But h k E :F and so (5.4.c) implies that for each k, Wlk = WZk and hlk = hZk on .6. 1 n .6. z. Thus WI = Wz and gl = gz on .6. 1 n .6. z· That is, h satisfies (5.4.c). Therefore hE F. Fix the notation that h is the function in :F for which h'(oo) = K. 5.5 Claim. For every z in lDl there is an analytic continuation (gl,.6.d of (h, .6. 0 ) such that z E gl(.6. 1 ).
Suppose the (5.5) is false and there is a complex number c in lDl such that no continuation of h ever assumes the value c. Since h(oo) = 0, 0 < Icl < 1. Let T be the Mobius transformation (c - z)/(l - cz); so T is a conformal equivalence of lDl\{O} onto lDl\{c} with T(O) = c. Thus if /1(z) = T(zZ), ((lDl\{O}), /1) is an analytic covering space of lDl\{c}. Let a be a square root of c; so /1(a) = 0 and /1'(a) = -2a/(1 -lcI Z ). Let 9 be a local inverse of /1 defined in a neighborhood of 0 with g(O) = a and apply Lemma 5.3 to ((lDl\{O}), /1). Thus 9 satisfies properties (b), (c), and (d) of Lemma 5.3 (with 00 = 0, G = lDl\{O}, T = /1, and 0 = lDl\{c}). Now go h is defined and analytic near 00 and g(h(oo)) = a. If (hI, .6. 1 ) is any analytic continuation of (h,.6. o) with h 1 (.6. 1 ) ~ lDl, then h 1 (.6.d ~ lDl\{c}. Since, by Lemma 5.3.b, 9 admits unrestricted analytic continuation in lDl\{c}, it follows that 9 0 h admits unrestricted analytic continuation in 0. We want to have that go hE F, but two things are lacking: g(h(oo)) = a =I- 0 and (g 0 h)'(oo) may not be positive. These are easily corrected as follows. Let M be the Mobius transformation M(z) = b(a - z)/(l - az), where b = a/lal = a/~. Put f = M 0 go h. Thus f(oo) = 0 and f satisfies (5.4.b) and (5.4.c) since go h does. Also
l' (00)
M' (g(h( 00) )g'(h( OO))K M'(a)g'(O)K.
Now z = /1(g(z)), so 1 = /1' (g(O) )g' (0) = -2a(1-lcIZ)-1 g' (0). Thus g' (0) = Z -(1 - IeI )/2a. A computation of M'(a) shows that the above equation becomes
1'(00)
b 1-
(l-2alc/ lei
1 + Icl
--K
2V[q
> O.
Z ) K
129
16.5. Existence
Therefore f E F. But this also shows that 1'(00) > K, contradicting the definition of K. Thus Claim 5.5 must hold. Now to define T, the covering map of lDl onto 0; this is the easy part. As above, let h be the function in F with h'(oo) = K. If z E lDl, Claim 5.5 implies there is an analytic continuation (hI, .6. 1) of h with z in h 1 (.6.d; say z = h 1 (wd for WI in .6. 1. If (h z ,.6. z) is another continuation of h with , z = hz(wz) for some Wz in .6. z , then (5.4.c) implies that WI = Wz and hI = h z on .6. 1 n .6. z. Since (5.4.c) also implies that hI is univalent on .6. 1, we can safely define T on U == hI (.6.d by T = (h 11.6. 1)-1. Since z was arbitrary, T is defined on lDl. From the definition it is clear that T is analytic; it is just as clear that T(lDl) = 0. Since T is locally univalent, T' (z) =I- 0 for all z in lDl. The only remaining part of the existence proof is to show that T is a covering map. To do this fix a point W in 0; we must find a neighborhood .6. of W such that each component of T- 1 (.6.) is mapped by T homeomorphically onto .6.. To find .6. just take any analytic continuation (h 1 ,.6.) of h, where .6. is a disk about w. Suppose (hz, .6. z) is another continuation of h with W in .6. z . According to (5.4.b), h 2 has a continuation to every point of .6.. Thus the Monodromy Theorem implies that h z extends to an analytic function on .6. z U .6.. So we may assume that h z is defined on .6.. That is, we may assume that every continuation (h 2 , .6. z) of (h, .6. 0 ) with W in .6. z has .6. ~ .6. z. Let 1iw = {(h i ,.6.) : i E I} be the collection of all the distinct analytic continuations of (h, .6. 0 ) to .6.. (At this time we do not know that 1i w is countable, though this will turn out to be the case.) Prom the definition of T,
T-
1
(.6.)
=
Uhi (.6.)·
iEI
But (5.4.c) implies that hi (.6.) n h j (.6.) = 0 for i =I- j. Thus {hi(.6.) : i E I} are the components of T- 1 (.6.) (and so I is countable). Clearly T maps each hi (.6.) homeomorphically onto .6. since T Ihi (.6.) = (hi I.6.) -1 . This completes the proof of existence. The uniqueness statement follows by Corollary 2.5. 0 Theorem 5.1 is the essential part of what is called the Uniformization Theorem. The treatment here is from Pfluger [1969] but with considerable modification. The reader can also see Fisher [1983], Fisher, Hubbard, and Wittner [1988], and Veech [1967] as well as the survey article Abikoff [1981] for different appraches and additional information. We can now furnish the proof of Proposition 15.4.8 in its entirety. Recall that the proof given there was only valid for the case that the complement of the region G had a component that was not trivial. 5.6 Corollary. Let G be a proper region in C that contains zero. If f is a conformal equivalence of G onto itself with f(O) = 0 and 1'(0) > 0, then f(z) = z for all z in G.
130
16. Analytic Covering Maps
Proof. If G is the entire plane less a single point, the proof is left to the reader. If the complijment of G has at least two points, let T : 1I)) ---. G be the universal analytic covering map with T(O) = 0 and T'(O) > O. It follows that f 0 T : 1I)) ---. G is also an analytic covering map with (f 0 T) (0) = 0 and (f 0 T)'(O) > O. Thus f 0 T = T. That is, f(T(Z)) = T(Z) for all Z in JD) and the corollary follows. 0
conformal equivalences of G onto itself that fix the point a and prove that the map f ---. 1'(0,) is a group monomorphism of Aut(G, a) into the circle group, oJD), and hence Aut(G,a) is abelian. (d) IfG is not simply connected, show that G is a finite cyclic group. What happens when G is simply connected? 8. Let G,
f,
11'(0,)1 = 1. Show that if n is simply connected and T is the covering map obtained in Theorem 5.1, then T is the Riemann map.
n
2. Let be a region in C whose complement has at least two points and let T : 1I)) ---. n be the analytic covering map with T(O) = ao and T'(O) > O. If f : n ---. C is an analytic function, show that 9 = f 0 T is an analytic function on 1I)) such that goT = 9 for all T in Qr' Conversely, if 9 : JD) ---. C is an analytic function with goT = 9 for all T in Qr, then there is an analytic function f on such that 9 = f 0 T.
9. Let f and G be as in Exercise 6. For n ~ 1 let fn be the composition of f with itself n times. Prove that if f tI- Aut(G, a), then fn(z) ---. a uniformly on compact subsets of G. 10. In this exercise let G be a proper region in the plane, let a and b be distinct points in G, and let f be an analytic function on G with f(G) ~ G, f(a) = a, and f(b) = b. (a) If G is simply connected and f(a) = a and f(b) = b, show that fez) = z for all z in G. (b) Give an example to show that (a) fails if G is not assumed to be simply connected. (c) If G is not simply connected but the complement of G has at least two points, show that f is a conformal equivalence of G onto itself and there is a positive integer n such that the composition of f with itself n times is the identity. (d) What happens when G = C or Co?
n
3. Suppose
n
is an n-Jordan region and T is as in Theorem 5.1. (a) Show that for any point a in JD), {T(O) : T E Qr} and {T(a) : T E Qr} have the same set of limit points and these limit points are contained in em. Let K denote this set of limit points. (b) Show that if W E oJD)\K, then there is a neighborhood U of w such that T is univalent on Un JD) and T has a continuous extension to JD) U (oJD)\K).
4. Prove a variation of Corollary 5.6 by assuming that C \ G has at least two points but only requiring F to be a covering map of G onto itself.
s:
11. Suppose f is an analytic function on JD) such that If(z)1 1 and f(O) = O. Prove that if Zl is a point in JD) different from 0 and f(Z1) = 0, then 11'(0)1 IZll. (Hint: Consider f(z)jzT(z) for an appropriate Mobius transformation T.)
Exercises 5 through 8 give a generalization of Schwarz's Lemma. The author thanks David Minda for supplying these.
s:
5. If G is a proper simply connected region, a E G, and f is an analytic function on G such that f( G) ~ G and f( a) = a, then II' (a) I 1. The equality II' (a) 1 = 1 occurs if and only if f is a conformal equivalence of G onto itself that fixes a.
s:
6. Let G be a region such that its complement has at least two points, let a E G, and let T : 1I)) ---. G be the analytic covering map with T(O) = a and T'(O) > O. If f is an analytic function on G with f(G) ~ G and f(a) = a, show that there is an analytic function F : JD) ---. JD) with F(O) = 0 and f 0 T = TO F. Also show that F(T- 1(a)) ~ T-1(a).
s:
7. Let f and G be as in Exercise 6. (a) Show that 11'(0,)1 1. (b) If f is a conformal equivalence of G onto itself, show that 11'(0,)1 = 1 and 1'(0.) = 1 if and only if f(z) = z for all z. (c) Let Aut(G, a) be all the
T, and F be as in Exercise 6. This exercise will show that if 1, then f E Aut(G,a). For this purpose we can assume that
G is not simply connected or, equivalently, that T- 1 (a) is infinite. (a) Show that if I I' (a) 1 = 1, then there is a constant c such that F(z) = cz for all z in JD). (b) Examine the action of F on T- 1 (a) and conclude that c is an n-th root of unity for some positive integer n. (c) Conclude that f E Aut(G,a).
Exercises
I:
131
16.5. Existence
12. The Aumann-Caratheodory Rigidity Theorem. Let G be a region that is not simply connected and whose complement ha'> at least two points; let a E G. Show that there is a constant a depending only on G and a with 0 a < 1 such that if f is an analytic function on G with f(G) ~ G and f(a) = 0, and if f is not a conformal equivalence of G onto itself, then 11'(0,)1 a. (Hint: Let T be the analytic cover ing map of JD) onto G with T(O) = a and T'(O) > 0 and let F be as in Exercise 6. Write T- 1(a) = {0,Z1'ZZ, ... } with 0 < IZII s: Izzi s: .... Observe that F(T- 1(a)) c:;;; T- 1(a) and try to apply Exercise 11.)
s:
s:
~.
~I~;,
'"1.:/>::':,
\~>~~:t:
it
j
13. Show that if G is simply connected, no such constant a as that ob tained in the preceding exercise can be found.
Chapter 17
De Branges's Proof of the
Bieberbach Conjecture
In this chapter we will see a proof of the famous Bieberbach conjecture. Bieberbach formulated his conjecture in 1916 and in 1984 Louis de Branges announced his proof of the conjecture. In March of 1985 a symposium on the Bieberbach conjecture was held at Purdue University and the proceed ings were published in Baernstein et al. [1986]. This reference contains a number of research papers as well as some personal accounts of the history surrounding the conjecture and its proof. The history will not be recounted here. The original ideas of de Branges for the proof come from operator theory considerations. The proof presented here (in §6) is based on the proof given in Fitzgerald and Pommerenke [1985]. This avoids the operator theory, though some additional preliminaries are needed. Another proof can be found in Weinstein [1991]. Though this is shorter in the published form than the Fitzgerald-Pommerenke proof, it actually becomes longer if the same level of detail is provided. The strategy for the proof, a..':; it evolves in the course of this chapter, is well motivated and clear from both a mathematical and a historical point of view. The tactics for the proof of the final crucial lemma (Lemma 6.8) are far from intuitive. Perhaps this is part of the nature of the problem and con nected with the conjecture lying unproved for so many decades. The tools needed in the proof have existed for quite some time: Loewner chains and Loewner's differential equation (1923); Lebediv-Millin inequalities (1965). In fact, de Branges brought a new source of intuition to the problem. This insight was rooted in operator theory and is lost in the shorter proofs of Fitzgerald-Pommerenke and Weinstein. The serious student who wishes to pursue this topic should look at de Branges's paper (de Branges [1985]) and the operator theory that ha.o:; been done in an effort to more fully explicate his original ideas. §1
Subordination
In this section we will see an elementary part of function theory that could have been presented at a much earlier stage of the reader's education.
134
135
17. The Bieberbach Conjecture
17.1. Subordination
1.1 Definition. If G is a region including the origin and f and 9 are two analytic functions on G, then f is subordinate to 9 if there is an analytic function ¢ : G ----> G such that ¢(O) = 0 and f = 9 0 ¢.
for all z in j[)). Thus (1 - Izj2)lj'(z)1
1.4
I!
i
It follows from the definition that if f is subordinate to g, then f(O) = g(O). Also note that if f is subordinate to g, then f(G) <;;; g(G). In Corollary 16.2.6 it was shown that if 9 : j[)) ----> 0 is the universal analytic covering map for 0 with g(O) = 0: and f is any analytic function on j[)) with f(O) = 0: and f(j[))) <;;; 0 = g(j[))), then f is subordinate to g. In this section we will use this result for the case that 0 is simply connected and 9 is the Riemann map. The proof for this case is easy and so it is presented here so as to make this section independent of Chapter 16. The fact that subordination is valid in a more general setting should be a clue for the reader that this is a more comprehensive subject than it will appear from this section. In fact, it has always impressed the author as a favorite topic for true function theorists as it yields interesting estimates and inequalities. For a further discussion of subordination, see Goluzin [1969] and Nehari [1975].
=
(1 -lzI2)1¢'(z)IIg'(¢(z))1
:s:;
(1 -1¢(zW)Ig'(¢(z))I,
establishing (c). Since 1'(0) = g'(O)¢'(O) and Schwarz's Lemma implies that I¢'(O)I :s:; 1, we have that 11'(0)1 :s:; 19'(0)1. If If'(O)1 = Ig'(O)I, then I¢'(O)I = 1 and so there is a constant e with lei = 1 such that ¢(z) = ez for all z. 0 We now apply these results to a particular class of functions on j[)). Let P be the set of all analytic functions p on j[)) such that Re p( z) > 0 on j[)) and p(O) = 1. The first part of next result is a restatement of Exercise 6.2.3.
1.5 Proposition. If pEP and z E j[)), then l-lzl 1 + Izl :s:; Ip(z)1 :s:; 1 + Izi l-izi
and 1.2 Proposition. If 9 is a univalent function on j[)), then an analytic func tion f on j[)) is subordinate to 9 if and only if f(O) = g(O) and f(j[))) <;;; g(j[))). If f is subordinate to 9 and ¢ is the function such that f = go ¢, then ¢ is unique.
Ip'(z)1 :s:; (1 _2 )2' Izl
+ z)j(1 - z). T(z) = (1 + z)j(1
These inequalities are sharp for p(z) = (1
Proof. The Mobius transformation - z) maps to j[)) onto the right half plane and T(O) = 1. Thus Proposition 1.2 implies p is subordinate to T. Let ¢ : j[)) ----> j[)) be the analytic function with ¢(O) = 0 and
Proof. If f(j[))) <;;; g(j[))), let¢ : j[)) ----> j[)) be defined by ¢ = g-I 0 f; this shows that f is subordinate to g. The converse was observed prior to the statement of this proposition. 0
p(z) = T(¢(z)) = 1 + ¢(z)
1.3 Proposition. If f and 9 are analytic functions on j[)), f is subordinate to g, and ¢ is the function satisfying f = go ¢ and ¢(O) = 0, then for each r> 1:
for all z in j[)). But for any ( in j[)),
(I
1 - 1(1 < 11 + < 1 + 1(1 1 + 1(1 - 1 - ( - 1 - 1(1 '
(a) {f(z): Izl < r} <;;; {g(z) : Izi < r}; (b) max {If(z)1 : Izi :s:; r}:S:; max{lg(z)I : Izl :s:; r}; (c) (1 -lzI 2)II'(z)1 :s:; (1- ¢(z)1 2)lg'(¢(z))I;
so
11 + ¢(z) I < 1 + 1¢(z)1 . 1 -1¢(z)1 ---,--,--,......,...,.< 1 + 1¢(z)1 -
(d) 11'(0)1:s:; 19'(0)1 with equality if and only if there is a constant c with lei = 1 such that f(z) = g(ez) for all z.
1 - ¢(z) - 1 -1¢(z)1
But 1¢(z)1 :s:; lzl, whence the first inequality. For the second inequality, apply (1.3.c) to obtain that
Proof. Let ¢ : j[)) ----> j[)) be the analytic function such that f = 9 0 ¢. Since ¢(O) = 0, Schwarz's Lemma implies that 1¢(z)1 :s:; Izi on j[)). This immediately yields (a) and part (b) is a consequence of (a). To prove part (c), first recall from (6.2.3) that
Ip'(z)1
(1-l z I2)1¢'(z)1 :s:; 1 - 1¢(zW
i:.
~Ii
:s:;
2 1 -1¢(zW 1 11-¢(z)12 l-l z l2
<
2 l-I¢(z)1
2
1 (1 -1¢(z)IV 1 -lzl 2 2 1 + 1¢(z)1 1 1 -1¢(z)1 1 - Izl2
136
17. The Bieberbach Conjecture
< 21 + Izi
Izl
1-
Izl2
2
(1 -
137
Let I:- denote the collection of all Loewner chains.
1 1-
17.2. Loewner Chains
IzlP .
o
1.6 Corollary. P is a compact subset of H(l!JJ).
Exercises
1. Show that for p in P and Izi < 1: (a) ~~I=: ~ Re p(z) ~ ~~I=l j l 1 1m p(z)1 ~ (b) 1 (c) larg p(z)1 ~ sin- [1111:1/2] j (d) n£'~l;) ~
1:t /2;
The first question is the existence of Loewner chains. If g is the Koebe function (14.1.4) and f(z, t) = etg(z) = et z(l - z)-2, then it is easy to check that f is a Loewner chain with f(l!JJ, t) = C \ (-00, _e t /4]. If g is any function from the class 5, then f(z, t) = etg(z) satisfies conditions (a) and {b) of the definition of a Loewner chain, but it may not satisfy condition (c). An amplification of this existence question appears in Theorem 2.16 below. The first result gives some properties of the parametrized family of simply connected regions O(t) = f(l!JJ, t) associated with a Loewner chain that will be used in the construction of the examples just alluded to. 2.2 Proposition. If f is a Loewner chain and for each t ::::: 0, O(t) f(l!JJ, t), then:
1
qzj2'
(a)
2. (a) Show that if f is an analytic function on l!JJ with f(O) = 0 and
f'(O) = 1, then the convex hull of f(l!JJ) contains B(O; 1/2). (Hint: Show that if this is not the case, then f is subordinate to a rotation of the map g(z) = z/(l - z).) (b) Show that if f E 5 (14.7.1) and f(ID» is convex, then f(l!JJ) contains B(O; 1/2).
and O(s)
J (b)
2.3
4. Show that if f is an analytic function on l!JJ with 0 < all z, then 11'(0)1 ~ 2/e and this bound is sharp.
1
f (z) < 1
1 for
ift n
---->
-=I-
O(s) <;;;O(t)
O(t);
t, then O(tn)
---->
O(t) in the
sense of Definition 15.4.1; (c)
3. (a) Let fa be the rotation of the Koebe function (Example 14.1.4). Show that if f is an analytic function on l!JJ with f(O) = 0 and f'(O) =
1, then f(l!JJ) meets the ray {rn: r::::: 1/4} unless f -=I- fa. (b) Suppose f E 5 (14.7.1) and f(ID» is a star like region; show that f(ID» contains B(O; 1/4). (This is a special case of the Koebe 1/4-Theorem (14.7.8).)
forO~s
if t n
---->
00, then O(tn)
---->
C.
Proof. The proof that O(s) <;;; O(t) when s < t is immediate definition. Since I'(O,s) -=I- f'(O,t), the uniqueness part of the Mapping Theorem implies that O(s) -=I- O(t). Part (b) is clear from 15.4.10. Note that the Koebe 1/4-Theorem (14.7.8) implies that (e t /4)l!JJ so that f(l!JJ, t) ----> Cast ----> 00. 0
from the Riemann Theorem f(l!JJ, t) ;;2
We now prove what is essentially a converse of the preceding proposition. §2
Loewner Chains
If f : l!JJ x [0,00) ----> C, then f'(z, t) is defined to be the partial derivative of f with respect to the complex variable z, provided this derivative exists. The derivative of f with respect to the real variable t is denoted by j(z, t). 2.1 Definition. A Loewner chain is a continuous function f : l!JJ x [0, 00) C having the following properties: (a) for all t in [0,00), the function z
---->
---->
f(z, t) is analytic and univalent;
(b) f(O,t) = 0 and I'(O,t) = et ; (c) for 0 ~ s < t < 00, f(l!JJ, s) <;;; f(l!JJ, t).
2.4 Proposition. Let {O(t) : 0 ~ t < oo} be a family of simply connected regions satisfying (2.3) and for each t > 0 let h t : l!JJ ----> O(t) be the Riemann map with ht(O) = 0 and h~(O) = f3(t) > o. If h(z, t) = ht(z) and 130 = 13(0), then the following hold.
(a) The junction 13 is continuous, strictly increasing, and f3(t) ----> 00 as t ----> 00. (b) If>..(t) =log[f3(t)/f3oJ andf(z,t) = f3 0 1h (Z, >..-1 (t)), thenf defines a Loewner chain with f(l!JJ,t) = 130 10(>..-1 (t)).
Proof.
Let
h(z, t) = f3(t)[z
+ b2 (t)z2 + ... J.
138
17. The Bieberbach Conjecture
17.2. Loewner Chains
By (2.3.b), if {t n } is a sequence in [0,(0) such that t n --> t, then O( tn) --> --> h(in H(ID) (15.4.10). In particular, h: ID x [0,(0) -->
ID, and ¢'(O,s,t)
O(t) and so htn
(d)
If s
~
t
~
u, then ¢(z, s, u) = ¢(¢(z, s, t), t, u) for all z in ID.
Proof. Because fs(ID) ~ ft(ID) , there is a unique analytic function ¢(z, s, t) defined on ID with values in ID and such that ¢(O, s, t) = 0 and ft(¢(z, s, t)) = fs(z) (Proposition 1.2). Since both ft(z) and fs(z) are univalent on ID, ¢ is also. This shows (a). The fact that I¢(z, s, t)1 ~ Izi for all z in ID follows by Schwarz's Lemma. Taking the derivative of both sides of the equation in (a) at z = 0 gives that eS = 1'(0, s) = 1'(¢(O.s.t), t)¢'(O.s.t) = et¢'(O.s.t). This proves part (b). Part (c) follows by the equation in (a) and the fact that the function ¢(z, s.t) is unique. Finally, to show (d) observe that the properties of the functions imply that for w = ¢(z,s,t), f(¢(w,t,u),u) = f(w,t) = f(z,s), so that (d) follows by the uniqueness of ¢. 0 2.7 Definition. The function ¢( z, s, t) defined for z in ID and 0
f(z,s)
2.8
=
f(¢(z,s,t),t)
2.9 Lemma. If f E £, then for all z in ID and 0
=
2.10
t 1 -Izl e (1 + IzlP
2.11
et
Izi (1 + IzlF
~ 11'(z, t)1 ~ e
t
.
~ t
< 00,
1 +.Izi
~
~ If(z, t)1 ~ et (1_Izl - Izl)2 .
In fact, the function e- t f(z, t) E 5, the class of univalent functions defined in §14.7. Thus this lemma is an immediate consequence of the Koebe Distortion Theorem (14.7.9). 0
Proof.
The preceding lemma quickly implies that for any T > 0, {f(z, t) : 0 ~ T} is a normal family in H(ID). However we will prove much more than this in Proposition 2.15 below. t ~
ID.
Izi for all z in
t<
Note that the transition function is given by the equation ¢(z, s, t)
2.6 Proposition. If f E £ and 0 ~ s ~ t < 00, then there is a unique analytic function z ---- ¢(z, s, t) defined on ID having the following properties.
~
~
f t- 1 (Js(z)).
For a Loewner chain f, let ft denote the univalent function on ID defined by ft(z) = f(z, t). Think of a Loewner chain as a parametrized family of univalent functions on ID, {fd, indexed by time, where fa is the starting point, and as time approaches 00 the functions expand to fill out the plane.
(b) z ---- ¢(z,s,t) is univalent, ¢(O,s,t) = 0, 1¢(z,s,t)1
s
for a Loewner chain f is called the transition function for the Loewner chain.
't.
= f(¢(z,s,t),t) for all z in
~
00 and satisfying
2.5 Example. Let, : [0,(0) ----
(a) ¢(z,s,t) E ID and f(z,s)
= es- t .
(c) ¢(z, s, s) = z for all z in ID.
Of course the constant ,8(; 1 must appear in (b) of the preceding result. The function fa in a Loewner chain belongs to the class 5, and for an arbitrary region 0(0) there is no reason to think that the Riemann map of ID onto 0(0) comes from the class 5. The following example will prove to be of more value than merely to demonstrate the existence of a Loewner chain.
,t
139
';~ · · " · .·..·
I·· ,,:;:',
""", ~';
',','",
1iJ!W
FE
F
140
17. The Bieberbach Conjecture
l''.
2.12 Lemma. If f ;, a Locum" ,ha;n "'dh 'mn,;tion fund;on ¢. thm the . " .,; function p is defined for z in II)) and 0 ~ s ~ t < co b y ,"i:tl';.~, :,
p(z,s,t)
_
1 + es -
t
-
1-e s -
t
, '~,' ,£ ', ;i,' ," 1+r1¢(z,s,t)~t,
[1- Z-l¢(Z, s, t)]
,
bel ongs t 0 t h e c l ass P an d p(0 ,s, t ) =1.
~j
Proof. Let ¢(z) = ¢(z, s, t) for sand t fixed. The fact that p belongs t o ; P is a consequence of the fact that 1¢(z)1 ~ Izl and hence belongs to II)) f o r : ' all z in II)). o f 2.13 Lemma. If fE£., Izi < 1, and 0':::; s .:::; t .:::; u, 00, then the following
inequality holds: If(z, s) - f(z, t)1 .:::; (1
~1~ll)4 (e t -
S
e
).
Proof. For the moment, fix sand t, s.:::; t, and put ¢(z) = ¢(z,s,t).
According to (2.10), if 1(1 .:::; Izi < 1, then 11'((, t)1 .:::; 2e t (1 - 1(1)-3 .:::;
2e t (1-lzl)-3. Since 1¢(z)1 ~ Izi this implies
If(z, t) - f(z, s)1
IJ¢(z) t 1'((, t)d(1
=
(1 _ IZI)31¢(z) -
zI.
1 + Izi 1-lzl'
<
Iz - ¢(z)1
s
<
[1_e 1 + es -
t t
]
[l+
IZ I J 1 _ Izi Iz + ¢(z)1
< 21z1 [1 + IzlJ (1- s-t)
2.14
1-lzl
e.
Therefore
If(z, t) - f(z, s)1
2e
.. _
_
_
.._,
17.2. Loewner Chains
~
141
pmving the lemma. 0
Proof. The inequality (2.11) implies that for every (z, t) in II)) x [0,00), sup{lf(z, t)\ : f E £} < 00. Also Lemma 2.13 shows that £. is equicontin uous at each point of II)) x [0,00). Thus the Arzela-Ascoli Theorem implies . to show t hI" t hI" at L- 1S norm al'm C(II)) x[0, 00 )) . I t remams at L- IS CIosed . If {In} is a sequence in £. and fn ----+ f in C(II)) x [0,00)), then for each t, fn(z, t) ----+ f(z, t) in H(II))). Hence for each t, z ----+ f(z, t) is analytic. Clearly f(O, t) = 0 and 1'(0, t) = et. Since each fn(z, t) is univalent, Hurwitz's Theorem implies that z ----+ f(z, t) is also univalent. Finally, if 0 .:::; s < t < 00, fn(lI)),s) ~ fn(lI)),t) for all n, so f(lI)),s) ~ f(lI)),t). Therefore, f E £. and £. is closed. 0 Note that if f is a Loewner chain, then z ----+ f(z,O) is a function in the class S defined in §14.7. A further amplification of the fact that Loewner chains exist is the next theorem, which asserts that any function in the class S can occur as the starting point of a Loewner chain.
2.16 Theorem. For every function fo in S there is a Loewner chain f such that f(z,O) = fo(z) on II)).
First assume that f is analytic in a neighborhood of cl II)). Thus ----+ Coo \ cl [ out I] be the conformal equivalence with g(oo) = 00 and g'(oo) > O. For 0':::; t < 00, put O(t) = the inside of the Jordan curve g( {z : Izi = et }). Note that 0(0) = fo(lI))) and {O(t)} satisfies the condition (2.3).
Letting h be as in Proposition 2.4, the uniqueness of the Riemann map implies that h(z,O) = fo(z) and so f30 = 1 (in the notation of (2.4)). An application of Proposition 2.4 now proves the theorem for this case. For the general case, let f be an arbitrary function in S, for each positive integer n put rn = 1 - n- 1, and let fn(z) = r;;-l f(r n , z). So each fn E S and is analytic in a neighborhood of cl II)). By the first part of the proof there is a Loewner chain Fn with Fn(z,O) = fn(z). By Proposition 2.15 Some subsequence of {Fn } converges to a Loewner chain F. It is routine to check that F(z, 0) = f(z) in II)). 0
Proof.
Now to estimate I¢(z) - zI. Applying Proposition 1.5 to the function p defined in Lemma 2.12, we get
s t 1 + e - ] \z - ¢(z) I Ip(z, s, t) I [ 1-e s - t z+¢(z)
Hence
:mn:mmr"'nmr
"I = f(81I))) is a closed Jordan curve. Let 9 : Coo \ cl II))
2e t
.:::;
OI!
2.15 Proposition. The set £. of all Loewner chains is a compact subset of the metric spaceC(lI))x [O,oo),q.
\~
1 + es - t [z - ¢(z, s, t)] z + ¢(z, s, t)
00
[l+ I I]
t
Z
<
(1 -lzlP 21z1 1 _ Izi (1- e
<
81z1 t (1 _ Izl)4 (e
-
e
S ),
t
s -
)
Note that if fo maps II)) onto the complement of a Jordan arc reaching out to infinity, then the preceding theorem is just Example 2.5. It is this particular form of the theorem that will be used in the proof of de Branges's Theorem. The study of Loewner chains continues in the next section, where we examine Loewner's differential equation.
__
142
17. The Bieberbach Conjecture
Exercises
I ; lDJ x [0, (0) ----; C be a function such that for each z in lDJ, t ----; I(z, t) is continuous and for each tin [0, (0), z ----; I(z, t) is analytic.
1. Let
Assume that properties (a), (b), and (c) of Definition 2.1 are satisfied. Show that Lemma 2.9 is satisfied for this function and consequently that I is a Loewner chain. 2. Let 0 be a simply connected region containing 0 such that Coo \ o consists ot: two Jordan arcs that meet only at 00. Let h o be the Riemann map of lDJ onto 0 with ho(O) = 0 and 130 = ho(O) > O. Show that there are two Loewner chains I and g with l(z,O) = g(z, 0) = 13r; l ho(z) (see Proposition 2.4).
.c
3. Let I E and let 4> be the transition function for I. Fix u 2: 0 and define 9 : lDJ x [0,(0) ----; C by g(z,t) = eU4>(z,t,u) for t ::; u and g(z, t) = eUz for t 2: u. Show that 9 E
.c.
4. If 9 is the Koebe function and I is the Loewner chain defined by I(z, t) = etg(z) = et z(l - z)-2, find the transition function for I.
5. In Lemma 2.9, what can be said about the Loewner chain the inequalities is an equality?
I
if one of
6. If I is a Loewner chain with transition function 4>, prove that, anal ogous to (2.13), 81z[ s-t) 14>(z, t, u ) - 4> ( z, s, u)1 ::; (1 -lz\)4 (1 - e for 0 ::; s ::; t ::; u <
§3
00
and all z in lDJ.
Loewner's Differential Equation
In this section Loewner's differential equation and the concommitant char acterization of Loewner chains is studied. There is a version of Loewner's differential equation valid for all Loewner chains, but we will only see here the version for a chain as in Example 2.5. This is all that is needed for the proof of de Branges's Theorem. To set notation, let, : [0,(0) ----; C be a Jordan arc with ,(0) = ao such that, does not pass through 0 and ,(t) ----; 00 as t ----; 00. For 0 ::; t < 00, let ,t be the restriction of, to [t, (0) and put O(t) = C \ Assume there is a Loewner chain I such that ft(lDJ) = ~(~) for all t 2: O. (The reason for the word "assume" here is that otherwise we would have to multiply the regions O(t) by a constant. See Proposition 2.4.b.) Let 4> be the transition
't.
143
17.3. Loewner's Differential Equation
function for the chain I and let gt = It-I: O(t) ----; lDJ with g((, t) = gt((). For s ::; t let 4>st(z) = 4>(z, s, t). Recall that 4>st = It-lois' Now Proposition 15.3.7 implies that Is and ft have continuous extensions to cl lDJ. Moreover Proposition 15.3.8 gt has a continuous extension to O(t)U {T(tn. Let >.(t) be the unique point on the unit circle such that It(>l(t)) = ,(t). Let Cst be the closed arc on alDJ defined by Cst = {z E alDJ : Is(z) E 'Y([s, t])} and let J st = gt(T([s, t])). So J st is a Jordan arc that lies in lDJ except for its end point A(t). (The reader must draw a picture here.) Thus 4>st maps lDJ conformally onto lDJ \ J st ' Also 4>st has a continuous extension to cl lDJ that maps Cst onto J st and the complement of Cst in the circle onto lDJ \ {>.(tn· Observe that A(S) is an interior point of the arc Cst and Cst decreases to >.(s) as t ! s. Similarly, if t is fixed and s T t, then J st decreases to A(t).
a
3.1 Proposition. With the preceding notation, the lunction A : [0,(0) ----; lDJ is continuous.
a
Proof. An application of the Schwarz Reflection Principle gives an analytic continuation of 4>st to C \ Cst. This continuation, still denoted by 4>st, is a conformal equivalence of C \ Cst onto C \ {Jst U J:t }, where J:t is the reflection of J st across the unit circle.
Claim. Iz- l 4>st(z)1 ::; 4e t - s for all z in C \ Cst. This is shown by applying the Maximum Modulus Theorem. In fact lim 4>(z, s, t) z-+oo Z
= lim
z
z-+o cjJ(z, s, t)
= _1_ = et-s 4>'(0)
Also the Koebe 1/4-Theorem (14.7.8) implies that since J st is contained in the complement of 4>st(lDJ), J st ~ C \ {( : [([ < es- t /4}. Thus J;t ~ {( : 1(1 < 4et - S }. This proves the claim. The claim shows that for any T 2: s, {z-l4>st : s ::; t ::; T} is a normal family. If tk ! sand {4>stk} converges to an analytic function 'ljJ, then 'ljJ is analytic on C \ {>.(sn and bounded there. Hence A(S) is a removable singularity and 'ljJ is constant. But 'ljJ(0) = limt-+s 4>'(0, s, t) = 1. Since every convergent sequence from this normal family must converge to the constant function 1, we have that z-l4>st(z) ----; 1 (uc) on C \ {A(Sn as t ! s. Thus cjJst(z) ----; z (uc) on C \ {A(Sn as t! s. Fix s 2: O. We now show that A is right continuous at s. The proof that A is left continuous is similar and left to the reader. If c > 0, choose 6 > 0 such that for s < t < s + 6, Cst ~ B(A(s);e). Let C be the circle aB(>'(S);E) and put X = 4>st(C), a Jordan curve. Note that the inside of X contains the arcs J st and J:t ; so in particular A(t) E ins X. Now 6 can be chosen sufficiently small that for s < t < s + 6, l4>st(z) - zl < E for all z in C. From here it follows that diam X < 3E. SO if we take any point z on
144
17. The Bieberbach Conjecture
C, 11.\(s) - .\(t) 1:::: 1.\(8) - zl + IZ
+ l
.\(t)1 <
E:
+ f: + 3f: = 5f:.
For a Loewner chain f, recall that j(z, t) = 8f /8t and !,(z, t) similarly define ¢(z, s, t),
. g((, t) = _g((, t)
Now It 0
= 8f/8z;
3.2 Proposition. Fix the notation as above. The function 9 has continuous partial derivatives and if x(t) = .\(t), then for t ~ 0 and ( in O(t) 3.3
17.3. Loewner's Differential Equation
[1 + x(t)g((, t)] x(t)g((,
gs(()
If>(z)
log
=
[
~
Re If>(z) =
27r
[~
where a: and f3 are chosen so that e and ei{3 are the end points of Cst. By the choice of the branch of the logarithm, in
3.4
1
1{3
27r
n
If>(z) = -
27r
.
eili + z [Re If>(etli)]-'IidO. et - z
s- t
= 1f>(0) = -1
27r
1{3 Re If>(eili ) dO. n
(3
Re If>(e iO )
[ eli iii
+ gs(() ]
dO.
e' - gs(()
n
in
iU + gs(O} etU - gs(O
If>(eili) dO] [Re {e
1m {ee
iU tu
+ gs(()}] -
gs(()
eiu + gs(()} = (s - t) [Re { eiu _ gs(()
.
+ dm
{e
iU
eiu
Now divide both sides of this equation by t - s and let t done, eiu and e iu both converge to .\(s). Thus
. m1- 1og [gt h -(()]
tls t - s
gs(()
+ gs(O}] gs(O
-
! s.
.
When this is
.\(s) + gs(O .\(s) - gs(O 1 + x(s)gs(() 1 - x(s)gs(()'
But the left hand side is precisely the right derivative of 10g[gt(O/gs(()] with respect to t, evaluated as t = s. By taking exponentials and multi plying by gs((), it follows that t ----'> gt(() has a right derivative at t = s. Elementary calculus manipulations then give that 1 + x(s)g((, s)] g((, s) = -g((, s) [ 1 _ x(s)g((, s) ,
where this is actually the right derivative. As was said, the similar proof for the left derivative is in the reader's hands. 0 3.5 Theorem. If f is a Loewner chain such that fo is a mapping onto a slit region, then there is a continuous function x : [0, 00) ----'> 8 ID> such that f(z, t) exists and satisfies 3.6
We also have that
f{3 Re
+i
f{3 [Re If>(eili)]Pz(e ili ) dO,
in
27r
1 [gt(()] = og gs(()
,
where the branch of the logarithm is chosen so that 1f>(0) = s - t. Thus If> is continuous on cl ID> and analytic on ID>. If z E 8 ID> \ Cst> then
2-1
Now apply the Mean Value Theorem for integrals to the real and imaginary 'parts of this integrand to obtain numbers u and v with a: :::: u, v:::: f3 and such that
Proof.
It is left for the reader to verify that 9 is a continuous function. To prove that g' exists and is continuous is the easy part. In fact because f is a Loewner chain, g'((,t) exists and equals [!,(g((,t),t)]-l. Since the convergence of a sequence of analytic functions implies the convergence of its derivatives, !' : ID> x [0,00) ----'> C is continuous. Hence g' is continuous. Note that if we can show that 9 exists and (3.3) holds, then the continuity of 9 follows from the continuity of g. To prove existence, we will show that the right partial derivative of 9 exists and satisfies (3.3). The proof that the left derivative exists and also satisfies (3.3) is similar and left to the reader. Return to the transition function
= fs and so gt =
t) .
1-
145
. t) = [l+X(S)Z] z!,(z,t). f(z, 1 _ x(s)z
Proof. The existence and continuity of !' was already shown at the be ginning of the proof of Proposition 3.2. Since ft and gt are inverses of each
146
17. The Bieberbach Conjecture
other, the differentiability of f with respect to t will follow from the Inverse Function Theorem of Advanced Calculus, but this must be set up properly. Define F : ]IJ) x [0, (0) -; C x IR by F(z, t) = (f(z, t), t). It is not hard to see that F(]IJ) x (0, (0)) is the open set A = Ut>o(C \ It) x (t, (0) and that F is a one-to-one mapping with inverse given by F-l((, t) = (g((, t), t). Thus F- 1 is a continuously differentiable function and its Jacobian is det [ g'((, t) g((, t)
0] 1
which never vanishes. Thus F is continuously differentiable, from which it follows that j(z, t) exists and is continuous. Now let x be as in Proposition 3.2. Note that ( = f(gt(().t), so differen tiating with respect to t gives that 0 = !'(gt((), t)9((, t) + f(gt((), t). Putting z = gt((), this shows that 0 = !,(z, t)g((, t) + j(z, t) for all z in Therefore applying (3.3),
-j'(z,t)g((,t)
]IJ).
Ig((, t)1 < I 1< t Ig((, t)1 + Ig((, t)IP - z - e (1 _ Ig((, t)l)2'
Algebraic manipulation gives that
[1 -Ig((, t)I]2 ::; et Ig(~, t) I::; [1
+ Ig((, t)lf
Since Ig((, t)1 ::; 1 for all ( and t, Ig((, t)1 ::; 4e- t !(I. This implies that {etgt/(t ~ O} is a normal family. But (3.8) implies that if tk -; 00 and etk gtk!( -; h, then h is an analytic function with Ihi == 1. Hence his, constant. But for any t, etg~(O) = et ! f:(O) = 1. Thus h(O) = 1 and so h == 1. That is, any limit point of this normal family as t -; 00 must be the constant function 1. Therefore as t -; 00, etgt(()!( -; 1 uniformly on compact subsets of C. Thus etg((, t) -; ( uniformly on compact subsets of C, so that etg(fo(z), t) -; fo(z) uniformly on compact subsets of II)) as 00.
0
)]
[1 +_x(t)g((, x(t)g((, t) 1
!,(z, t)g((, t)1
t
1+X(t)Z] j'(z,t)z [ 1-x(t)x .
3.9 Corollary. If f E Sand 9 is the inverse of the Loewner chain starting at f, then t -; etg(f(z), t) for 0 ::; t ::; 00 is a path of functions in S
starting at z and ending at f. 3.10 Corollary. The family S of univalent functions with the relative topol
ogy of H(]IJ)) is arcwise connected.
This finishes the proof. 0 Equation (3.6) is Loewner's differential equation. There is a differential equation satisfied by all Loewner chains, not just those that begin with a mapping onto a slit region. For an exposition of this see Duren [1983] and Pommerenke [1975], two sources used in the preparation of this section and the preceding one. This section concludes with a result valid for all Loewner chains, not just those that begin with a mapping onto a slit region. In many ways this illustrates the importance of Loewner chains in the study of the univalent functions in the class S.
3.7 Proposition. Let f be a Loewner chain with gt the inverse of ft. Then
fo(z) = lim etg(fo(z),t) t-+oo
According to (2.11),
IZ,I ,,_ ::;If(z,t)l::;
Exercises 1. Let f E L with gt the inverse of It and put h(z, t) that h satisfies the equation
h(z, t) = h'(z, t)
= g(fo(z), t).
Show
[1 + x(t)h(z, t)] x(t)h(z, t) , 1-
where x is as in Proposition 3.2.
f
ELand ¢ is its transition function, show that for all s
~
0, f(z, s) = limt-+oo et¢(z, s, t) uniformly on compact subsets of Compare with Proposition 3.7.
II)).
2. If
3. If 9 is the Koebe function and the Loewner chain f is defined by f(z, t) = etg(z) = et z(1 - Z)-2, find the function x that appears in Loewner's differential equation for f.
uniformly on compact subsets of]IJ).
et .
t
e (1
t -;
j(z, t)
Proof.
Substituting z = g((, t) this becomes
3.8
= g'((, t),
147
17.3. Loewner's Differential Equation
et~ ,,_.
§4 The Milin
149
17.4. The Milin Conjecture
17. The Bieberbach Conjecture
148
An application of the Cauchy-Schwarz Inequality shows that
~onjecture
n
I
!
lanl :::;
What will be proved in the next section is not the Bieberbach conjecture but the Milin conjecture, which is stronger than Bieberbach's conjecture. In this section the Milin conjecture will be stated and it will be shown that it implies the Bieberbach conjecture. But first the Robertson conjecture will be stated and it will be shown that it implies the Bieberbach conjecture and is implied by the Milin conjecture. For reasons of specificity and completeness, let's restate the Bieberbach conjecture. First, as standard notation, if f is a function in S, let
k=l whence the first part of theorem. If equality occurs in Bieberbach's conjecture, then the preceding inequal 'ity shows that equality occurs in Robertson's conjecture. This completes the proof. 0 To state the Milin conjecture is not difficult; it only requires some na tation. To see that this implies the Robertson conjecture is more involved and will occupy us for most of the remainder of the section. Let f E S and let 9 be the corresponding function in S_ with g(Z)2 = f(z2) on j[)). Assume (4.1) and (4.3) hold. It is easy to see that Z-l f is an analytic function on JI)) and has no zeros there. Thus there is an analytic branch of (1/2) 10g[Z-1 f(z)] defined on j[)); denote this function by hand let
f(z) =z+a2z2+a3z3+ ....
4.1
4.2 Bierberbach's Conjecture. If f belongs to the class S and has the power series representation (4.1), then lanl :::; n. If there is some integer n such that lanl = n, then f is a rotation of the Koebe function.
I
If f is a rotation of the Koebe function, then (14.1.4) shows that Ian I = n for all the coefficients. Recall (Proposition 14.7.4) that a function 9 in the class S is odd if and only if there is a function f in S such that g(z)2 = f(Z2) for all z in JI)). Let S_ be the collection of odd functions in S and if 9 E S_ ,let
00
4.6
g(z) = z + C3Z3
h(z) =
L 1'n Zn
n=l
be its power series representation on j[)). Note that we have chosen the branch of (1/2) log[z-l f(z)] that satisfies h(O) = 0 and with this stipula tion, h is unique.
I
4.3
L !c2k-11 2,
+ C5Z5 + ...
4.7 Milin's Conjecture. If f E S, h is the branch of (1/2) 10g[Z-1 f(z)] with h(O) = 0, and h satisfies (4.6), then n m 1 4.4 Robertson's Conjecture. If 9 E S_ has the power series represen 2 L L(khkl "k) :::; O. tation (4.3), then for each n :;::: 1 m=l k=l 1 + IC312 + ... + IC2n_I/2 :::; n. If equality holds for some integer n, then f is a rotation of the Koebe function. If there is an integer n such that equality occurs, then g(z)2 = f(Z2), where To show that Milin's conjecture implies the Robertson conjecture (and f is a rotation of the Koebe function. hence the Bieberbach conjecture), it is necessary to prove the Second Lebedev-Milin Inequality. This is the second in a collection of three in 4.5 Theorem. Robertson's conjecture implies Bieberbach's conjecture. equalities that relate the power series coefficients of an analytic function Proof. Let 9 E S_ satisfy (4.3) and let f be the corresponding function with those of its exponential. All three inequalities will be stated and then it in S with g(Z)2 = f(z2) in JI)). Suppose f satisfies (4.1). Thus will be shown that Milin's conjecture implies Robertson's conjecture. Then the second inequality will be proved. After this the remaining inequalities Z2 + a2z 4 + ... = ( z + C3Z 3 +... )2 . will be derived for the interested reader. Let ¢ be an analytic function in a neighborhood of 0 with ¢(O) = 0 and Expanding and identifying coefficients of the corresponding powers of z we let get that for all n :;::: 1
be its power series. The Robertson conjecture can now be stated.
I
I
I
,"~'
00
an =
CIC2n-l
+ C3C2n-3 + .,. + C2n-l Cl·
4.8
¢(z) =
LQkZk
k=l
150
17. The Bieberbach Conjecture
be its power series. Let
17.4. The Milin Conjecture
Thus if Milin's conjecture is true, this implies that for every n 2: 1 00
'IjJ(z) = e
4.9
11.
L i3kzk.
L
k=O
k=O
4.10 First Lebedev-Milin Inequality. If ¢ and'IjJ are as above, then
~ 111>1' S; exp {~klakl'}.
2
~
(n
{I
n
I}
m
11.
+ l)exp n + 1 f l {;(k la kI2 - k) .
Equality holds for a given integer n if and only if there is a complex number "I with 1"11 = 1 and ak = "I k /k for 1 ~ k ~ n.
-
L 1c2k+11 2
+1 =
k=O
C2n+l zn
= exp
{~
"Inzn } .
Now to prove the inequalities. A few preliminary observations are valid for each of the proofs. Since 'IjJ = e
L ki3k zk -
(~kakZH) (~P,z')
1
k=l
Equating corresponding coefficients gives
2
{; I 2k+11 ~ C
(n
{I +
+ l)exp n
11.
1 fl
m
t;(k l"lkI
m
4.14
mi3m =
2 -
I} k) .
L kaki3m-k· k=l
Proof of the Second Lebedev-Milin Inequality. Inequality to (4.14) to get
m'l~ml' 4.15
According to the Second Lebedev-Milin Inequality, for each n 2: 1 11.
must be a rotation
+ (ali31 + 2a2i30)Z + (ali32 + 2a2i31 + 3a3i30)z2 + ... + (ali3m + ... + mami3o)zm + ...
Proof. Let 9 E S_ and let f E S such that g(Z)2 = f(z2) on ]]J); as sume that (4.1) and (4.3) hold. Let h(z) = (1/2) log[z-l f(z)] satisfy (4.6). Note that if z E ]]J) \ (-1,0]' [g(y'z)/J:Zj2 = f(z)/z. On the other hand, g( y'z)/ y'z = 1 + C3Z + C5z2 + ..., so that g( y'z)/ y'z is analytic on ]]J). Thus h is a branch oflog[g( y'z)/ viz] and so taking Cl = 1 we get
~
f
ali30
4.13 Theorem. Milin's conjecture implies Robertson's conjecture.
I
k
But this implies equality in Milin's conjecture and so of the Koebe function. D
~) }.
Equality holds for some integer n if and only if there is a complex number bl = 1 and ak = "I k /k for 1 ~ k ~ n.
II
m
< n+ 1.
"I with
'I
J; t;(k b I2 - k)1 }
In
< (n + l)exp { n + 1
00
4.12 Third Lebedev-Milin Inequality. If ¢ and 'l/J are as above and n -f:. 1,
1M S; exp {~(klakl'
~ (n + 1),
11.
4.11 Second Lebedev-Milin Inequality. If ¢ and'IjJ are as above, then for all n 2: 1 11.
hk+11 2
which we recognize as Robertson's conjecture. Suppose n 2: 1 and equality holds in Robertson's conjecture. Again as suming the Milin conjecture, this implies
If the right hand side is finite, then equality occurs if and only if there is a complex number "I with bl < 1 and ak = "I k /k for all k 2: 1.
{; li3kl
151
Apply the Cauchy-Schwarz
s;
(t,
)(t, I~m-k I')
=
(~k2IakI2) (~ li3kI2)
k'iakl'
.
Put m
4.16
Am
=
L k=l
m
2
2 k 1a kl
Bm
=
L k=O
2 li3kI .
152 il!1
l:il
'Ii
17. The Bieberbach Conjecture
So (4.15) becomes m 2J,8m\2 :-s; A m B Tn let's prove (4.11): Thus
1
n i n n+1 1 2 21a kl 2 + 1 - ' " '" klakl k L..." n +1 L..." k
for all m 2: 1. Now fix n 2: 1 and
2:
k=l
= B n - 1 + \,8nI 2
Bn
< B n- 1
III'
11'11
1
n+1
[1 + ~2An]
i,
'Ii I
n+l
< -n-
exp
i'lli i
{An-n} n 1 n(n + 1) B - ,
_1_
n+1
I,
Continuing and noting that B o = 1,801 2 = 1 we get that
Bn
n
ii
4.17
(n
'I
I!III
-
k }
< (n + 1) exp { ( ; k(k + 1)
11
,11
Ak
n
+ 1) exp { ( ;
Ak k(k + 1)
+1
I}
n+1 _ - {; k
.
Now use the summation by parts formula (Exercise 2) with Xk = [k(k + 1)]-1 and Yk = A k . Here X n = 2:Z=l[k(k + 1)]-1 = 1 - (n + I)-I, This gives n
n-1
k=l
k=l
L~
L
Xk(A k - A k+1) + XnA n
~ [1- k:l] (-(k+l)2Ia~+l1) +
[1- _1_] n+l
tk21akl2 k=l
~ 2 1 ~ 2 2 L..." klakl - --1 L..." k lakl . k=l Thus n
L· k=l
Ak
n+1 1
+
1-
L"k
k=l
n+
k=l
+
I}
t {en
+ l)klakl 2 _ k21akl2 +
k=l
1 1 + 1l; ~
2 n ~ L(n+ 1- k) ( klaKI - +
n+l {An-n An- 1 -(n-l)}B Bn < ( ) + ( ) n-2. - n -l exp nn+l n-ln
'~
{n{;(n + l)klakl 2 - {;n k21akl2 + n + 1 k=l
,I, 11'1
k=l
-L-k
where the elementary inequality 1 + x :-s; eX has been used. Now apply this latest inequality to B n - 1 and combine the two; so we have
II
k=l
n+1 n
n+1[ An-n] -n- 1 + n(n + 1) B n - 1
II;
153
17.4. The Milin Conjecture
k=l n
n
m
2
(
klakl
1)
1- n+ I} k
1) k
-"k '
where we have used Exercise 3. If this is combined with (4.17), we have the Second Inequality. Now for the case when we have equality in (4.11). (At this point the reader can go directly to the next section and begin to read the proof of the Milin conjecture and, hence, the Bieberbach conjecture. The remainder of this section is not required for that enterprise.) There were two factors that contributed to inequality in the above argument: the Cauchy-Schwarz Inequality and the inequality 1 + x :-s; eX. So if equality occurs, it must be that equality occurred whenever these two facts were used. The first such instance was when the Cauchy-Schwarz Inequality was applied to (4.14) in order to obtain (4.15). Note that for equality in (4.11) for an integer n, we need equality in (4.15) for 1 :-s; m :-s; n. Thus there must exist constants AI, ... , An such that for each m, 1 :-s; m :-s; n,
4.18
,8m-k = Amkak
for 1 :-s; k :-s; m. Since 1 + x = eX only when x = 0, an examination of the occurrence of this equality in the argument yields that Am = m for 1:-S; m:-S; n.
Substitution of (4.18) into (4.14) gives that m,8m = Am 2:;;'=1 k21akl2 = AmAm = mA m · Thus ,8m = Am for 1 :-s; m :-s; n. Since ,80 = 1, (4.18) for k = m says that Ammam = 1 for 1 :-s; m :-s; n. Thus for m 2: 2, Al = ,81 = Am(m - l)am-1 = Am/Am-I. Hence Am = A1Am-1, from which we derive that ,8m = Am = Al = ,m, where, = AI, Equation 4.18 for k = m implies that mam = ,m. But for 1 :-s; k :-s; n, k = A k = 2:~=1 m 21am l2 = 2:~=lhI2m. In particular it holds for k = 1 so that hi = 1. Hence (4.18) implies that for 1 :-s; k :-s; n, ,n-k = ,8n-k = ,nkak, so that ak = ,k /k for 1:-S; k:-S; n.
The proof that tbis condition suffices for equality is left to the reader.
Letting k = m here shows that ma m = Am for all m 2: 1. Also if we substitute (4.21) into (4.14), we get that 13m = m-l(A m+... + Am) = Am· With these two identities,(4.21) becomes Am = Am-kAk. In particular, Am = Am-IAI. From here we get that Am = Ar for all m 2: 1. Thus putting "I = Al we have that ak = "I k I k and 13k = "I k for all n. Because the right hand side of (4.10) is finite, it must be that 1"11 < 1. The proof that the condition suffices for equality is left to the reader. D
D
Proof of the First Inequality. Without loss of generality it can be assumed that the right hand side of (4.10) is finite. Apply the Cauchy-Schwarz In equality to (4.14) in a different way than was done in the proof of the second inequality to get that m2113ml 2 ~ m (2::;;'=1 m2Iam\21I3m_kI2), or
I13mJ2
4.19 Let am =
mla m 2 1
fk=l m2IamI21I3m_kI2.
~~ m
Proof of the Third Lebedev-Milin Inequality. Using the notation from the proof of the Second Lebedev-Milin Inequality, (4.15) states that
and inductively define bo = 1 and 1 bm
4.20
=-
m
n2113nl2 <
m
L
k=l
I13nl
2
~
2 <
k=O
An
L k=O
I13kl 2 =
{1~
1)} .
2
(
1)}
n-l m ( 2 fl ~ klakl - k
(
I)}
( klakl 2 - k
1) 1
n-l } klakl 2 - k - ~ ~(elakI2 -1)
n-l (
~ e~ exp{- ~n +
~ eXP{~kIOkl'}
00
m
2
1)
An
1
2
2 n-l }
~ exp { ~ klakl - k - ~ + ~n lanl + -n
{~ak}
00 and equality occurs.
nn exp
A {n-l nn exp ~
Lbk k=O
which is the sought for inequality. Now assume that 2::%"=1 klak 12 <
A
1
00
exp
{1n-l
A { n-l nn exp ~ ~(n - k)
where the hypothesis guarantees that these power series have radii of con vergence at least 1. But since ak, bk 2: 0 we get
I13kl
l
Hence
~bkZk ~ exp {~akzk}.
L
AnBn -
< Ann exp ~ fl~ klakl - k
kakbm-k.
An induction argument using (4.19) shows that I13ml 2 ~ bm for all m 2: 1. If we examine how (4.14) was derived and look closely at (4.20), we see that
00
155
17.4. The Milin Conjecture
17. The Bieberbach Conjecture
154
t,
(klokl' -
D}
Now apply the inequality xe- x ~ lie with x = Anln and (4.12) appears. The proof of the necessary and sufficient condition for equality in (4.12) is left to the reader. D
Clearly
00
Lbk . k=O
Exercises
Since I13kl 2 ~ bk for all k 2: 0, it follows that I13kl 2 = bk for all k. But this can only happen if for each m 2: 1 equality holds in (4.19). But this is an instance of equality holding in the Cauchy-Schwarz Inequality. Thus for every m 2: 1 there is a complex number Am such that
1. Show that if f is a rotation of the Koebe function and g(Z)2 = f(z2), then we have equality in the Robertson and Milin conjectures for all n.
2. (The summation by parts formula) Show that if {xd and {Yd are 4.21
kakl3m-k = Am for 1 ~ k ~ m. ~""~:\'i
.
~'''''. .•." '.
•... I,"
\,
17. The Bieberbach Conjecture
156
two sequ~nces of complex numbers and X n
= 2:~=1 Xb
L Xk(Yk - Yk+d k=l
LXkYk k=l
(c) p~a,,8)(O) = (n~a) _ (a~~)n, where for any number z and a non negative integer n,
then
The fact that the Jacobi polynomials exist and are unique can be found in any standard reference. See, for example, Szeg6 [1959]. The proof of the next result can be found on pages 29 and 59 of that reference.
+ XnYn+!'
3. If {xd is-a sequence of complex numbers, show that 2:Z=l (n
= z(z + 1) .. · (z + n - 1).
(Z)n
+ XnYn
n
L XdYk - Yk+d k=l
+1
5.2 Proposition. For all admissible
2::=1 2::=1 Xk·
4. What are the functions ¢ and 'ljJ for which equality holds in the First Lebedev-Milin Inequality? 5. Prove the necessary and sufficient condition for equality in (4.12).
§5
157
n-l
n
k)Xk =
17.5. Some Special Functions
Some Special Functions
In this section certain special functions are introduced that were invented by de Branges for the proof of the Bieberbach conjecture. The properties of these functions are essential for the proof. This section will not be self contained. Indeed, in order to deduce some of their crucial properties, we will also need to examine another collection of special functions, the Jacobi polynomials (defined below). Many of the properties of these functions can be found in Szeg6 [1959] and it will be left to the reader to ferret them out. One crucial property is a positivity result of Askey and Gasper [1976] that will not be proved here. The general attitude here will be that results about Jacobi polynomials will be quoted while the needed properties of the special functions introduced by de Branges will be proved. The only self-contained exposition of these special functions of de Branges that I am aware of are some unpublished notes of Dov Aharonov [1984] that I used to prepare this section and' for which I would like to publicly thank him.
5.1 Definition. For any choice of parameters 0: and f3 > -1, the Jacobi polynomials {p~a,,8) }~=o are the unique polynomials having the following properties.
p~a,,8)(x)
for all n
~
=
0:
and f3 and -1 ::; x ::; 1,
(-l)np~.al( -x)
O.
5.3 Corollary. p~a·,8)(_l) = (_l)np~,a)(l)
= (_l)n(n~,8).
The next identity appears in the proof of Theorem 3 in Askey and Gasper [1976] (see page 717); its proof involves hypergeometric functions and won't be given here. The result following that is part of the statement of Theorem 3 in that reference. 5.4 Proposition. If 0: m
" (a,O)(x) ~Pv v=o
> -1
and -1 ::; x ::; 1, then for every m ~ 0
[tl!.] =" ~
[~]
m
2
]=0
j
2
(0:
+ 2j + 2)m-j
j
.
j!(o: + l)j(m - J)!
5.5 Theorem. (Askey and Gasper [1976]) If 0:
~
. [2(x - 1)F.
-1 and m ~ 0, then
m
LP~a,o)(x) v=O
>0
for -1 ::; x ::; 1.
Now for the functions of de Branges. If n all t ~ 0
5.6
n-k (2k Tk(t)=kL(-l)V v=o
~
1 and 1 ::; k ::; n, define for
+ v + 1)v(2k + 2v + 2)n-k-v (k+v)v!(n-k
v)!
-(v+k)t
e
(a) p~a,,8) is a polynomial of degree n.
and T n +l == O. The relation between the Jacobi polynomials and the functions of de Branges is as follows.
(b) For w(x) = (1- x)a(a + x),8 and n =I- m,
5.7 Proposition. For 1 ::; k ::; n,
ill
p~a,,8)(x)p~,{:i)(x)w(x)dx= o.
Tk(t)
=
n-k _ke- kt L p~2k,0)(1 - 2e- t ). v=o
17. The Bieberbach Conjecture
158
Proof.
From the definition of Tk we compute
Tk(t) = _ ~(_l)V (2k LJ k v=o
+ v + 1)v(2k + 2v + 2)n-k-v e-(k+v)t. v!(n-k-v)
17.5. Some Special Functions
Proof. To prove (5.9) readers might increase their comfort level by first verifying the equality in the case that k = n (and Tn+1 == 0). For 1 ~ k < n it must be shown that Tk + k-1Tk = Tk+1 - (k + 1)-I Tk +1 . To facilitate the proof, define gk = k-lTkekt and h k = k-lTke-kt for 1 ~ k ~ n + 1. These functions enter the picture by observing that
Hence
n-k
II !
!
Now use (5.4) with
0:
= 2k and m = n - k to get
i
n-k
LP~2k,O)(1- 2e- t )
v=o
,i
n-k L(_1)v(2k+v+1)v(2k+2V+2)n k v -vt v=O V! (n - k - V)! e
Tk(t) kt
--k- e .
!
The next result contains all the information about these functions that will be used in the proof of de Branges's Theorem.
IiII
5.8 Theorem. For the functions the following hold;
TI, ... ,
5.9
Tk Tk - Tk+1 = - [k
)V (2k + v + 1)v(2k + 2v + 2)n-k-v -vt-2kt e . (k + v)v!(n - k - v)!
-1
Thus
~(-1)V+I (2k + v + 1)v(2k + 2v + 2)n-k-v
e -kt· gk
LJ v=l =
e-(k+v)t
(k+v)(v-1)!(n-k-v)!
~(_l)V+I (v + 2k)(2k + v + 1)v(2k + 2v + 2)n-k-v ~
(k
+ v)v!(n -
' e-(k+v)t.
k - v)!
Now (2k + v)(2k + v + 1)v = (2k + V)V+I' Incorporating this in the last equation and changing the index k to k + 1, we get
e(k+I)th' k+1
= n~1 (_1) v+I (2k + 2 + v)v+I (2k + 2v + 4)n-k-I-v e-(k+I+v)t
Tn defined in (5.6) and Tn+1 == 0,
+ kTk+I] +1
nL-k( v=o
f::o
(k
+ 1 + v)v!(n -
k - 1 - v)!
= ~(_1)v(2k+1+v)v(2k+2V+2)n-k-v e-(k+v)t
I!
Iii
Tk ] e -kt ,
~ (-1)v (2k + v + 1)v(2k + 2v + 2)n-k-v e- vt LJ (k + v)v!(n - k - v)! v=o
hk
ektkk
o III
-
. kt = -hk+Ie(k+I)t . gke
5.13
gk
But 22v [2k 2]v (k+1)v = (2k+1}zv and (2k+1}zv/(2k+l)v = (2k+v+1)v' Therefore
I
. = [Tk hk k
so to show (5.9) it suffices to show that
~ [¥]v [¥]v(2k+2v+2)n-k-v [2(-2e- tW. LJ v!(2k + l)v(n - k - v)! v=o , ,
+ Tk ] e kt
for 1 ~ k ~ n. From the definitions of Tk, gk, and h k we get that
n-k
LPFk,O)(l- 2e- t ) =
v=o
i
Tk ilk = [k
(
_ Tk (t) ekt = , , ( -1)v 2k + V + 1)v(2k + 2v + 2)n-k-v e- vt . LJ v!(n-k-v) k . v=o
159
.
~
'
(k+v)(v-1)!(n-k-v)!
1.
5.14
11
III
5.10
Tk(O) = n
+1-
k;
I: I
5.11
5.12
Tk(t)
--t
0 as t
T
< O.
--t
00;
= e-ktilk.
thus demonstrating (5.13), and hence (5.9). To prove (5.10), first apply Corollary 5.3 and (c) of Definition 5.1 to obtain that p~a,o) (-1) = (-1)v. Combine this with Proposition 5.7 to get
Tk(O)
=
n-k -k LP~2k,O)(_1). v=o
160
17. The Bieberbach Conjecture
Thus
_ Tk(O) = {I if n - k is eveh 0
k
if n - k is odd.
Now substitute this information into (5.9) to get that Tk (0) - Tk+l (0) = 1. Summing up yields (5.10). The property (5.11) is clear from the definition of the functions and (5.12) is immediate from Theorem 5.5 and Proposition 5.7. 0
!
I
I
I,
§6
'!
Ii
I
!
I
The Proof of de Branges's Theorem
The aim of this section is to prove the following, which is the culmination of this chapter. This approach is based on the paper of Fitzgerald and Pommerenke [1985].
6.5 Corollary. If Milin's conjecture is true for slit mappings in 5, it is true.
Proof. If I E 5, let {In} be a sequence of slit mappings in 5 such that In --> I. For each n let hn(z) = (1/2)log[fn(z)/z] and let h be as in the statement of de Branges's Theorem. It is left to the reader to show that h n --> h. Therefore the sequence of the k-th coefficients of the power . series expansion of h n converges to the k-th coefficient of the power series expansion of h, '"Yk. Milin's conjecture now follows. 0 Now to begin the path to the proof of de Branges's Theorem. To do this let us set the notation. For the remainder of the section, f is a slit mapping in 5 and F is the Loewner chain with Fo = I. Thus Loewner's differential equation (3.6) holds for F. Observe that c t Ft E 5 for all t ::::': O. Thus we can define
I
I
I
n
m
(
kl'"Ykl
etz
L '"Yk(t)zk,
k=l
where the branch of the logarithm is chosen with h(O, t) = O.
The strategy of the proof is to introduce the function
then lor all n ::::': 2
1; ~
[F(Z, t)]
00
h(z) = L '"Yn zn , n=l
6.3
2
6.6
00
!
~ log
h(z, t)
6.1 Theorem. The Milin conjecture is true. That is, il I E 5, h is the brunch 01 (1/2) log[z- 1 /(z)] with h(O) = 0, and 6.2
161
17.6. The Proof of de Branges's Theorem
2 -
1)
k :s; o.
6.7
¢(t) =
t
[kl'"Yk(tW -
~] Tk(t)
To accomplish this we first show that it suffices to prove the theorem for functions in 5 that map onto a slit region.
for t ::::': 0, where T1, ... , Tn are the special functions introduced in the pre ceding section. Given the function ¢, we will prove the following.
6.4 Proposition. If I E 5, then there is a sequence {In} in 5 such that each In maps onto a slit region and In --> I in H(][}).
6.8 Lemma. If ¢ is the function defined in (6.1), then ¢(t) ::::': 0 for all t > O.
Proof. First we assume that n = I(]J))) is a Jordan region with its bound ary parametrized by '"Y : [0,1] --> an, '"Y(O) = '"Y(1) = woo Replacing I by c iO l(e iO ) for a suitable e, if necessary, we may assume that Iwol : : ': Iwl for all w in cl n. Thus the ray 1] = {rwo : 1 :s; l' :s; oo} in Coo meets cl n only at woo Let nn = Coo \ [1] U b(t) : n- 1 :s; t :s; I}] and let gn be the Riemann map of][} onto nn with gn(O) = 0 and g~(O) > O. Note that nn --> n in the sense of Definition 15.4.1. Thus Theorem 15.4.10 implies that gn --> I. Thus gn(O) --> 1(0) = 1. So if In = [gn(O)]-lgn, then In E 5, In (][}) is a slit region, and In --> f. Now assume that I is arbitrary. Put r n = 1 - n- 1 and let In(z) = r,:;-l/(r n z). So In E 5, In --> I, and In(][}) is a Jordan region. The proof of the special case implies that each In can be approximated by slit mappings in 5 and, thus, so can f. 0
The proof of this lemma is the heart of the proof of the theorem. Indeed, the proof of de Branges's Theorem, except for the equality statement, easily follows once Lemma 6.8 is assumed. Proof of (6.3). According to (5.10), Tk(O) = n + 1 - k and so n
¢(O)
,=
L(n + 1 - k)(kl'"YkI k=l n
L
m
L(khkl m=l k=1
2 -
2
1
-
J)
1 k)
by Exercise 4.3. Also from (5.11) we know that Tk(t)
-->
0 as t
--> 00
and so
17. The Bieberbach Conjecture
¢(t) --; 0 as t --;
00.
Therefore
6.9
l; ~(khkI2 - k) n
by Lemma 6.8.
6.13 Lemma. If T < 00 and 0 < r < 1, then the series E;.;"=1 'Yk(t)zk converges absolutely and uniformly for Izl ::; rand 0 ::; t ::::: T.
roo
1
m
= -
Jo
163
17.6. The Proof of de Branges's Theorem
¢(t)dt::; 0
Let r < p < 1. Equation (6.12) implies that if Ih(w, t)1 ::::: M for t ::; T and Iwl = p, then for all Izi ::; r, \'Yk(t)zk\ ::; M(rlp)k. The result follows from the Weierstrass M-test. 0
Proof.
o ::; 0
The proof of the equality statement needs additional information about the function cP. So now return to our assumptions for this section and the definition of the function h in (6.6).
Proof of Lemma 6.8. The preceding lemma allows us to differentiate the series (6.6) for h(z, t) term-by-term with respect to t. Thus, using Loewner's differential equation (3.6), 00
~~lo IF(z,t)j
L 'Yk(t)Zk
6.10 Lemma. (a) If 0 < r < 1, then sup{lh(z, t)1 : Izi ::; rand 0 ::::: t < oo} < 00. (b) For each k ~ l,sup{hk(t)! : 0::::: t < oo} < 00.
2
k=1
2
(a) It suffices to get the bound for Izi = r. Using (2.11) we have for some integer N independent of r ::;
HlogIF~:~t)1 + 27rNJ 2" 1[27rN -logr + log jF(z,t)jJ -e t
<
~ [27rN -logr + log (1 ~ r)2J
=
Mr·
_1 27ri
F(z, t)
~ [z
6.14
2
_
1]
1+ x(t)z F'(z, t) _ 1] l-x(t)zF(z,t)
.
But Ix(t)z\ = Izi < 1 and so 1 + x(t)z = 1 + 2 'fx(t)kzk.
l-x(t)z
k=1
Now we also have that 00
L k'Yk(t)zk-1
The Maximum Principle now gives the result. (b) IfO < r < 1, then
'Yk(t)
ze t
g
! [F(Z' t)
Proof·
Ih(z,t)1
at
r
i1z,=r
r 27rr k i
21r
1
o
h' (z, t)
k=l
~ [FI(Z, t) _ ~] 2 F(z, t) z·
h(z, t) zk+l dz i8 ik8 h(re , t)e d().
Thus
F'(z, t) F( z, t )
Thus bk(t)1 ::; r-kMr by part (a). 0
1
~
= -Z + 2 L.J k'Yk(t)Z
k-l
.
k=l
Substituting into (6.14) we get 6.11 Lemma. For each k 2: 1 the function 'Yk : [0,00) --; C is continuously
differentiable and 6.12
'Yk(t)
=
_1_
(21r
27rr k Jo
h(reifJ t)e-ikfJd(). '
Proof. In fact this is an immediate consequence of the formula for 'Yk(t) obtained in the preceding proof and Leibniz's rule for differentiating under the integral sign. 0
~'Yk(t)Zk= ~{Z[I+2~X(t)kzk] [~+2~k'Yk(t)Zk-l] -I}.
Therefore
1+2~i'k(t)Zk= [1+2~X(t)kzk] [1+2~k1'k(t)Zk].
7!!!!!!!!'!!1!!m
_!!!!l!!!!!i~
!!!!!!:!!!!!!!!'~.~
All
~
164
~
17. The Bieberbach Conjecture
17.6. The Proof of de Branges's Theorem
165
Equating coefficients gives
where k-1
'1'k(t) = kr'k(t)
+ x(t)k + 2 Ljx(t)k-j"Yj(t).
m
Xm
== L 2 Re [(b k bk-d(l + bk + bk-dJ
j=l
k=l m
Suppressing the dependence on t, this implies that I
k x - kl'k
=
'1'k
I
k
k=l
+ 2 Ljx k- j1'j
i"
x - k1'k
+ 2x kbk,
where bk(t) = L~=l jx-j(thj(t) for k ;::: 1 (and k1'k Xk = bk - bk- 1 implies
m
bo == 0). Now the fact that
Xm
2Re bm + 2 L(!b k j2
=
-lbk _ l l2 )
k=l
Ibm I2 ].
2(Re bm +
'Yk = x k [l + bk + bk - 1 ].
6.15
k=l
The first of the summands telescopes and for any complex numbers z and w, (z - w)(z + w) = Izl 2 -lwl 2 - 2ilm (zw). Hence
j=l
k
! I
2Re L(bk bk- 1) + 2Re L(b k - bk-1)(bk + bk- 1).
=
'I
'I
m
From (6.18) we get
It is not hard to check that
n
d 2 d/hk(t)1
=
d -_ dtkl'k(thk(t)
'If! =
"I
i
6.16
d
2
6.19
~
.
¢ = 2 L)Re bk
n
Now consider the function ¢ defined in (6.7). Suppressing the dependence on t, d
2
~
2
¢ = L.. Tk dt [k/1'kl ] + L.. ik(kll'k(t)1 k=l
Ie1] .
k=l
From (6.16) we get that
'If!
=
- Tk+d
2 1 +~ L..J idkll'dt) I - Ie]'
k=l
i d k bk(t)1 2
n
1
-
L
k1
k=l
,
?[k bkl 2
n
.
For the first summand of (6.19) we use the property (5.9) of the functions Tk to get 2 Tk Tk+1 -[Re bk + Ibkl ][T + k + 11
2 [Re bk + Ib k I ](Tk - Tk+d
2 LTk dt [kl1'k/ ]
=
Tk -[(Re bk)T
n
L 2 Re [(bk - bk_ 1)(1
+ bk + bk-d]Tk.
n
6.18
~J = LXk(Tk - Tk+1), k=l
2Tk
+ Ibkl T
+(Re b ) Tk+1 + k k+1
k=l
Now apply the summation by parts formula (Exercise 4.2 with Yk = Tk and Xk = 2 Re [(bk - bk-1)(1 + bk + bk-1))) to obtain that
1]
-
k=l
k=l
=
2
2 Tk = """ L..JT[lbk-bk11 -1].
d
n
+ Ibkl 2 ](Tk
Focusing on the second summand, note that
-_
k=l
~
bkI 2 ](Tk - Tk+d·
k=l
L
.
I
Using (6.17) we now have
dtkhk(t)! = 2Re [(bk - bk-1)(1 + bk + bk-dJ.
6.17
+
k-1
2Re k'Yk'Yk
k
2Re kx [l + bk + bk-1j'Yk' Using the fact that bk - bk- 1 = kX- k1'k we get that kxk'Yk = (bk - bk-r). Hence we can express the derivative entirely in terms of the functions b k by
Iii
2 L(Re bk
Ib 12 Tk+1
k k+1
].
Now sum these terms for 1 ::; k ::; n and remember that 0 = bo = Thus n
L[Re h k=l
+ Ib k 2](Tk I
n
Tk+d
Tn
.
- """ L.. Tk k[Re bk k=l
+!bk _ 1 !2].
+ Ihl 2 + Re bk - 1
+1'
166
17. The Bieberbach Conjecture
167
17.6. The Proof of de Branges's Theorem (2-et)/8
Thus n
1>. =
k=l
2
bk _ 1 1
-
n
-L +
+ 1]
.
~ [Ibk/2 +
2Re bk + 2Re bk- l + 21bk_112
k=l 2Re bkb k- l +1] n
6.20
.
Tk - "L klbk k=l
+ bk- l + 11 2 .
o Proof of de Bmnges's Theorem. We already saw how to deduce (6.3) from Lemma 6.8. It only remains to treat the case of equality. We show that if f E Sand f is not the Koebe function, then strict inequality must hold in (6.3) for all n ~ 2. If this is the case and f(z) = z + a2z2 +"', then la21 < 0: < 2 (14.7.7). Now also assume that f is a slit mapping and adopt the notation used to prove Lemma 6.8. In particular, define the function h as in (6.6) and the functions bk as in (6.15). Let Ft(z) have power series expansion et(z + a2(t)z2 + ... ). So la2(t)1 ~ 2 for all t ~ O. A calculation shows that Il(t) = a2(t)/2 and bk(t) = X(t)-l'l(t). Thus (6.15) implies that
I"hl = 11 + ~x-la21 ~ 2 and so Irl(t)1
= I,l +
1t ·';(l(s)dsl ~ "20: + 2t. 0
Equation 6.20 and (5.12) imply that
¢(t)
~
(-+dlb l + 11 2 (-+dlx-1'l + 11 2 > (-+d(1- ~ - 2t)2 2
for 0 ~ t ~ 4- 1(2 - 0:). From (6.9) we have n
-
<
2 - 0:] [ -4-
.
k - " L Tk[2Re bk + 2Ibkl 2 + 2Re bk- l + 2Ibk- l 12
Ib k
<
m
L L(khkl 2 -
-1
1
k)
m=l k=l
00
¢(t)dt
r(2-et)/8
<
-
10
¢(t)dt
6.21
1o
(-fd(l - ~ - 2t)2dt 2
1(2-et)/8 .
o
Tldt.
Since +1 < 0 everywhere, we get strict inequality in (6.3). Now let f be an arbitrary function in the class S and let {lj} be a sequence of slit mappings in S that converge to f. Because la21 < 0: < 2, it can be assumed that laj,21 < 0: for all j ~ 1. Thus the inequality in (6.21) holds for each function Ii (with Ik replaced by the corresponding coefficient Ij,k). This uniform bound on the sum (6.3) for the functions Ii implies the strict inequality for the limit function, f. 0
· '"-
- ...
_
.- ...- _ - . w
.,---
?"
•
Chapter 18 Some Fundamental Concepts from Analysis Starting with this chapter it will be assumed that the reader is familiar with measure theory and something more than the basics of functional analysis. This particular crapter is an eclectic potpourri of results in analysis. Some topics fall into the category of background material and some can be labeled as material every budding analyst should know. Some of these subjects may be familiar to the reader, but we will usually proceed as though the material is new to all. When needed, reference will be made to Conway [1990].
§1
Bergman Spaces of Analytic and Harmonic Functions
For an open subset G in C and 1 ::; P ::; 00, define V(G) to be the V space of Lebesgue measure on G. That is, LP(G) = V(AIG). In this section G will always denote an open subset of C. 1.1 Definition. For 1 ::; P ::; 00 and an open subset G of C, L~(G) is the collection of functions in V(G) that are equal a.e. [Area] to an analytic function on G. Denote by L~(G) those elements of V(G) that are equal a.e. [Area] to a harmonic function. These spaces are called the Bergman spaces of G because of the work of Bergman [1947], [1950]. Note that L~ (G) contains L~ (G) so anything proved about functions in L~ (G) applies to the analytic Bergman space. 1.2 Lemma. If f is a harmonic function in a neighborhood oj t4fJ closed disk B(a; r), then
f(a) =
~ 7rr
fdA.
This is, of course, a variation on the Mean Value Property of harmonic functions and can be proved by converting the integral to polar coordinates and applying that property.
'irk
j. :~'
.,.
r
} B(a;r)
i\,
~,
.,,','
1.3 Proposition. If 1 ::; p <
00,
f E L~(G), a E G, and 0 < r <
.........
!:
Il"1'i l 1 ! 'I
170
18. Fundamental Concepts
dist (a, DG), then
If(a)1 ~
'ilj! !
'III
II
II
I I~I III I 1
'1
1
I I
11
1
I
1111:
Iii
il
Ji
I
Proof.
1 '1_
<>1
Ilfllp.
Let q be the index that is conjugate to p : l/p + l/q
preceding lemma and Holder's Inequality, If(a)1 = (nr 2
(nr )-1 ( fB(a;r) IflPdA) (nr 2 )-1/Pllfllp- 0
lip (
fB(a;r)
1 dA
) l/q
=
1. By the
2 )-1IfB(u;r)
fdAI ~
~ nr 2 )-11Ifll p (nr 2 )1/q =
1.4 Proposition. For 1 ~ p ~
00, L~(G) and L~(G) are Banach spaces and L~ (G) and L~ (G) are Hilbert spaces. If a E G, the linear functional f ----+ f(a) is bounded on L~(G) and L~(G).
Proof. The last statement in the proposition is an immediate consequence of Proposition 1.3 for the case p < 00, and it is a consequence of the definition for the case p = 00. For the first statement, it must be shown that L~ (G) and v;. (G) are complete; equivalently, L~ (G) and L~ (G) are closed in LP (G). In the case that p = 00, this is clear; so assume that 1 ~ p < 00. Only the space L~ (G) will be treatedj the analytic case will be left to the reader as it is analogous. Let Un} S;; L~(G) and suppose fn ----+ f in LP(G)j without loss of generality we can assume that fn (z) ----+ f(z) a.e. Let K be a compact subset of G and let 0 < r < dist(K, DG). By Proposition 1.3 there is a constant C such that Ih(z)1 ~ Cllhllp for every h in L~(G) and every z in K. In particular, Ifn(z) - fm(z)1 ~ C/lfn - fm/lp for all m,n. Thus {fn} is a uniformly Cauchy sequence of harmonic functions on K. Since K is arbitrary, there is a harmonic function g on G such that fn(z) ----+ g(z) uniformly on compact subsets of G. It must be that f(z) = g(z) a.e. and so f E L~(G). 0
'''I
The space L 00 (G) is the dual of the Banach space £1 (G) and as such it has a weak-star (abbreviated weak* or wk*) topology. It can also be shown that L':'(G) and L';'(G) are weak* closed in LDO(G). See Exercise 1. This section concludes by proving some theorems on approximation by polynomials and rational functions in Bergman spaces of analytic functions.
I i
1.5 Definition. For a bounded open set G and 1 ~ p < 00, let PP( G) be the closure of the polynomials in LP (G). RP (G) is the closure of the set of rational functions with poles off G that belong to LP (G). It follows that PP (G) S;; RP (G) S;; L~ (G). Note that if r is a rational function with poles off cl G, then r E LP(G). However in the definition of RP (G), the rational functions are allowed to have poles on DG as long as the functions belong to LP (G). If G = the punctured unit disk, then Z-l has its poles off G but does not belong to L 2 (G) even though it does belong
18.1. Bergman Spaces
171
to LI(G). If, on the other hand, G = {z = x + iy : 0 < x < 1 and Iyl < exp( -x- 2 )}, then z-l E L 2 (G). It is not difficult to construct an example of a set G for which PP( G) =1= L~(G). This is the case for an annulus since z-l E L~(G) but cannot be approximated by polynomials. Finding a G with RP(G) =1= L~(G) is a little more difficult. Indeed if 1 ~ p < 2, then RP(G) = L~(G), while there are regions G such that for 2 ~ p < 00 equality does not hold (Hedberg [1972 a]). See the remarks at the end of this section for more information. If K is a compact subset of C, then the open set C \ K has at most a countable number of components, exactly one of which is unbounded. Call the boundary of this unique unbounded component of C \ K the outer boundary of K. Note that the outer boundary of K is a subset of oK. In fact, the outer boundary of K is precisely DR, the boundary of the polynomially convex hull of K. For a small amount of literary economy, let's agree that for a bounded open set G the outer boundary of G is that of its closure and the polynomially convex hull of Gis G == clG. 1.6 Definition. A Caratheodory region is a bounded open connected subset of C whose boundary equals its outer boundary. 1. 7 Proposition. If G is a Carntheodory region, then G is a component of int{ G} and hence is simply connected.
Proof. Let K = Gand let H be the component of int K that contains Gj it must be shown that H = G. Suppose there is a point Zl in H \ G and fix a point Zo in G. Let 1 : [0,1] ----+ H be a path such that 1(0) = Zo and 1(1) = Zl· Put 0 = inf{t: I(t) E H\G}. Thus 0 < 0 ~ 1 and I(t) ~ H\G for 0 ~ t < o. Since H \ G is relatively closed in H, W = 1(0) ~ G. Thus WE DG. But since G is a Caratheodory region, DG = oK. Hence W E oK. But W E H S;; int K, a contradiction. It is left as an exercise for the reader to show that the components of the interior of any polynomially convex subset of C are simply connected. (See Proposition 13.1.1.) 0 There are simply connected regions that are not Caratheodory regions; for example, the slit disk. Caratheodory regions tend to be well behaved simply connected regions, however there can be some rather bizarre ones. 1.8 Example. A cornucopia is an open ribbon G that winds about the unit circle so that each point of 0 l[) belongs to DG. (See Figure 18.1.) If G is the cornucopia, then cl G consists of the closed ribbon together with 0 l[). Hence C \ cl G has two components: the unbounded component and l[). Nevertheless G is a Caratheodory region. 1.9 Proposition. If G is a Caratheodory region, then G = int{cl G}. If G is a simply connected region such that G = int{cl G} and C \ cl G is
172
18. Fundamental Concepts
I
r----' I I I I
I I I I
.=....::....:!.
L __.•
"':
Figure 18.1.
connected, then G is a Caratheodory region. Proof.
Exercise. 0
1.10 Lemma. If 1 < p < 00 and Un} is a sequence in L~(G), then Un} converges weakly to f if and only ifsuPn Ilfnllp < 00 and fn(z) ----> f(z) for all Z in G.
:li'I,
Proof. If fn ----> f weakly, then sUPn Ilfnllp < 00 by the Principle of Uni form Boundedness. In light of Proposition 1.4, for each Z in G there is a function k z in Lq(G) such that g(z) = (g, k z ) for all g in ~(G). (Here q is the index that is conjugate to p: lip + 11q = 1.) Thus fn(z) = Un' k z ) ----> U, kz) = f(z). If 7 is the topology of pointwise convergence on L~(G), then we have just seen that the identity map i : (L~ (G), weak) ----> (L~ (G), 7) is continuous. Since (ball L~ (G), weak) is compact and 7 is a Hausdorff topol ogy, i must be a homeomorphism. 0
III
1.11 Theorem. (Farrell [1934] and Markusevic [1934]) If G is a bounded Caratheodory region and 1 < P < 00, then PP (G) = L~ (G).
ill'! ~
I
dI 1."1
1'..
1
1'.'\1'1.,":.11
II ii,
I
,I
il'l 1III
II Ilil
i',1
Iii I 11 1
Proof. Let K = {} and let 7 : ID ----> Coo \ K be a Riemann map with 7(0) = 00. Put G n = C \ 7({Z : [zl ::::; I-lin}). It is left to the reader to show that the sequence {G n } converges to G in the sense of Definition 15.4.1. So fix a in G and let ¢n be the Riemann map of G onto G n with ¢n(a) = a and ¢~(a) > O. By Theorem 15.4.10, ¢n(z) ----> Z uniformly on compact subsets of G. Let 'l/Jn = ¢:;;l : G n ----> G. Fix f in L~(G) and put In = (f 0 'l/Jn)'l/Jn' Thus fn is analytic in a neighborhood of K and so, by Runge's Theorem, fn can be approximated uniformly on K by polynomials. Thus fnlG E PP(G). Also IlfnllP ::::; f Cn /fn!PdA = f Cn Ifm'l/JmIPI'l/J~IPdA = f c IflPdA = IlfllP by the change of variables formula for area integrals. If z E G,'l/Jn (z) ----> z and 'l/J~(z) ----> 1. Therefore fn(z) ----> f(z) as n ----> 00. By Lemma 1.10, fn ----> f weakly and so f E PP(G). 0
18.1. Bergman Spaces
173
Rubel and Shields [1964] prove that if G is a bounded open set whose boundary coincides with the boundary of its polynomially convex hull and if f E L':(G), then there exists a sequence of polynomials {Pn} such that IIPnllc ::::; Ilflic and Pn(z) ----> f(z) uniformly on compact subsets of G. (Note that this condition on G is the same as the condition for a region to be a CaratModory region, but G is not assumed to be connected here.) In particular, one can approximate with polynomials the bounded analytic function that is 1 on the open unit disk and 0 on the cornucopia. This says that Theorem 1.11 is true for P = 00 if the weak* topology is used instead of the norm topology. The theorem also holds when P = 1 but a different proof is needed. See Bers [1965] and Lindberg [1982]. Some hypothesis is needed in Theorem 1.11 besides the simple connected ness of G. For example, if G = ID\ (-1,0]' then Zl/2 E L~ but Zl/2 ~ p 2 (G). In fact it is not difficult to see that the functions in p 2 (G) are precisely those functions in L~(G) that have an analytic continuation to ID. An exact description of the functions in PP(G) is difficult, though many properties of these functions can be given. Exercise 4 shows that if G is an annulus, then every f in PP (G) has an analytic extension to the open disk. In general, if U is a bounded component of C \ [cl G] such that au is disjoint from the outer boundary of G, then every function in PP (G) has an analytic extension to G U [eI U] that belongs to PP (G U [cl U]), though the norm of the extension is larger. What happens if U is a bounded component of C \ [cl G] and au meets the outer boundary of G? The answer to this question is quite complex and the continuing subject of research. See Mergeljan [1953], Brennan [1977], and Cima and Matheson [1985]. The next theorem can be proved by reasoning similar to that used to prove Theorem 1.11. See Mergeljan [1953] for details. 1.12 Theorem. Let G be a bounded region in C such that C \ [cl G] has bounded components U1 , ••• , Um' Let K j = aUj and let K o be the outer boundary; assume K i n K j = 0 for i =I- j and fix a point Zj in Uj , 1 ::::; j ::::; m. If f E L~ (G), then there is a sequence Un} of rational functions with poles in {oo, Zl, ... , zm} such that f n ----> f in L~ (G). In particular, RP(G) = L~(G).
We return to the subject of Bergman spaces in §21.9.
Remarks. There is a substantial literature on the subjects covered in this section. Indeed, we have only skimmed the surface of the theory. Bers [1965] shows that R 1 (G) = L~ (G). Mergeljan [1953] has the results of this section and more. Brennan [1977] discusses polynomial approximation when the underlying region is not a CaratModory region. The interested reader can also consult Bagby [1972], Cima and Matheson [1985], Hedberg [1972a], [1972b], [1993], and Lindberg [1982].
18. Fundamental Concepts
174
Exercises 1. This exercise will show that L'h(G) is weak· closed in LOO(G). A similar proof works for L':(G). (a) If a E G, let 0 < 2r < dist(a, 8G). For Iw-al < r put 9w = (IT"r 2 )-IXB(w;r)' Show that the map w ~ gw is a continuous map from B( aj r) into L 1 (G). (b) Let X be the weak· closure of L'h(G); so X is the Banach space dual of L1(G)jL'h(G)l-. Show that if {fn} is a sequence in L'h (G) and f n ~ f weak· in X, then {fn} is a uniformly Cauchy sequence on compact subsets of G and hence f E L'h(G). Now use the Krein-Smulian Theorem (Conway [1990], V.12.7) to conclude that L'h(G) is weak· closed. 2. If f is analytic in the punctured disk G = {z : 0 < Izi < I}, for which values of p does the condition IflPdA < 00 imply that f has a removable singularity at O?
Ie
3. Give an example of a simply connected region G that is not a Carathe odory region but satisfies G = int{ cl G}. 4. If G is a bounded open set in C and K is a compact subset of G, then every function f in PP(G\K) has an analytic continuation to G that belongs to PP(G). Show that if G is connected, then the restriction map f ~ fl(G \ K) is a bijection of PP(G) onto PP(G \ K). 5. Let {an} be an increasing sequence of positive numbers such that 1 = limn an' Choose rl, r2, . .. , such that the closed balls B n = B(a n ;rn) are pairwise disjoint and contained in JDl; put G = ][Jl \ UnBn- Show that each f in PP(G) has an analytic continuation to JDl. Must this continuation belong to L~(][Jl)? 6. Let {an} be a decreasing sequence of positive numbers such that a = limn an- Choose rl, r2,···, such that the closed balls B n = B(an ;rn) are pairwise disjoint and contained in ][Jl; put G = ][Jl \ UnB n . Show that R 2(G) = L~(G).
§2
Partitions of Unity
In this section (X, d) is a metric space that will shortly be restricted. We are most interested in the case where X is an open subset of C, but we will also be interested when X is a subset of lR or a][Jl. In the next section we will examine the abstract results of this section for the case of an open subset of C and add some differentiable properties to the functions obtained for metric spaces. The idea here is to use the fact that metric spaces are paracompact, terminology that will not be used here but is mentioned for the circum spective.
18.2. Partitions of Unity
175
2.1 Definition. If U is an open cover of X, a refinement of U is an open cover V such that for each set V in V there is an open set U in U with V~U.
Notice that this extends the notion of a subcover. Also note that the relation of being a refinement is transitive, and that every open cover of a metric space has a refinement consisting of open balls. The typical ap plication of this idea is to manufacture an open cover of the metric space that has certain desirable features. Because of a lack of compactness it is impossible to obtain a finite subcover, but we can always pass to a locally finite refinement (now defined).
2.2 Definition. An open cover U of X is said to be locally finite if for each B(a; r) contained in X, Un B(a; r) = 0 for all but a finite number of sets U inU. It is a standard fact from topology that every open cover of a metric space has a locally finite refinement (that is, every metric space is paracompact). This will be proved for metric spaces that satisfy an additional hypothesis that will facilitate the proof and be satisfied by all the examples that will occupy us in this book. See Exercise 1.
2.3 Theorem. If X is the union of a sequence of compact sets {K n } such that K n ~ int K n+ 1 for all n ::::: 1, then every open cover of X has a locally finite refinement consisting of a countable number of open balls. Proof. Let U be the given open cover of X. For each n let R n = dist(Kn , X\ int K n + 1 ). For each integer n we will manufacture a finite collection of balls 8 n that will cover K n and have some additional properties. These extra properties don't come into play until we reach n = 3. For each point a in K 1 choose a radius r with r < R 1 such that B(a; r) is contained in some open set from U. By compactness we can find a finite collection 8 1 of these balls that cover K 1 . Similarly let 8 2 be a finite col lection of balls that cover K 2 \ int K 1 , with centers in K 2 \ int K 1 , and with radii less than R 2 and sufficiently small that the ball is contained in some set from U. For n ::::: 3 let 8 n be a finite collection of balls that cover K n \ int Kn+l and such that each ball in 8 n has the form B(a; r) with a in K n \ int K n+ 1 and r chosen so that B(a; r) is contained in some set from U and r < min{Rn_2, R n }. Note that V = Un8 n is a refinement of U. It is left to the reader to verify that if B E 8 n and B n K m =I=- 0, then m = n - 1, n, or n + 1. Since X is the union of {int K n }, this shows that V is locally finite. 0
2.4 Proposition. If K is a closed subset of the metric space X, {U 1 ,}. ... , Um} is an open cover of K, and ~V is an open set containing K, then there are continuous functions
II, ... , f m
such that:
18. Fundamental Concepts
176
(a) for 1:":::j:"::: m, O:":::!J:"::: 1 and support!J ~ Uj nw;
(b) L~=1 fj(x) = 1 for all x in K. Proof. We may assume that {U1, ... , Um} is a minimal cover of K; that is, no proper collection is a cover. The proof proceeds by induction. The case m = 1 is just Urysohn's Lemma. For m = 2, Urysohn's Lemma implies there are continuous functions f and 9 on X such that each takes its values in [0,1], f(x)=1forxinK\U2, f(x)=OforxinK\U 1, g(x)=1forx in K, and g(x) = 0 for x in X \ W. Put it = fg and h = (1- J)g. It is left to the reader to verify that these functions satisfy (a) and (b) for m = 2. Now suppose the proposition holds for some m 2: 2 and all metric spaces, and assume {U1, ... , Um+d is a minimal open cover of K. Put F = K \ Um+! and pick an open set G in X such that F ~ G ~ cl G ~ U == Uj=1 Uj . By the induction hypothesis there are continuous functions h 1 , .•• ,h m such that for 1:"::: j :"::: m, 0:"::: h j :"::: 1, support h j ~ ujnw, and Lj'=1 hj(x) = 1 for all x in cl G. Also since we know the proposition holds for m = 2, we can find continuous functions g1 and g2 with 0 :"::: g1, g2 .:s 1, support g1 ~ Gn w, support g2 ~ Um+1 n W, and g1 (x) + g2(X) = 1 for all x in K. Put !J = glhj for 1 :"::: j .:S m and fm+! = 92· The reader can check that these functions satisfy conditions (a) and (b). 0
18.3. Convolution in Euclidean Space
177
Proof. According to Theorem 2.3 there is a countable cover 13 of X by open balls that is subordinate to U. Set K o = 0 and for n ::::: 1 let 13n be a finite subcollection of 13 that covers K n \ int K n - 1 • Arrange matters so that 13n n 13m = 0 for n =1= m. Let 13n = {Unk : 1 :"::: k :"::: Pn}. According to Proposition 2.4 for each n 2: 1 there are continuous func tions {ink: 1 :"::: k :"::: Pn} such that: (i) for 1 .:S k :"::: Pn, O.:S fnk .:S 1 and support fnk ~ Unk
n int K n+1;
(ii) L1:1 fnk(X) = 1 for all x in K n \ int K n - 1. If the set where fnk is not zero is denoted by Nnk> then it is apparent that {Nnk : 1 .:S k :"::: Pn and n 2: 1} is a locally finite cover of X that is subordinate to 13 (and hence to U). Thus f(x) == I:~=1 I:~:1 fnk(X) is a well defined continuous function on X and f (x) 2: 1 for all x in X. Define cPnk(X) = fnk(X)j f(x) for x in X. Clearly cPnk is continuous, o :": : cPnk .:S 1, support cPnk = support fnk, and I:~=1 I:~:1 cPnk(X) = 1 for all x in X. That is, {cPnd is a partition of unity. Since {Nnk } forms a locally finite cover of X, {cPnk} is locally finite. 0
Exercises
2.5 Definition. A collection of continuous functions {cPj} on X is a par tition of unity if:
1. Show that a metric space that satisfies the hypothesis of Theorem 2.3 is locally compact. Conversely, a locally compact, a-compact metric space satisfies the hypothesis of Theorem 2.3.
(a) for each j, 0 :"::: cPj :"::: 1; is a locally finite cover of X;
2. If X is a locally compact metric space and U is an open cover of X, then there is a countable partition of unity {cPj} subordinate to U such that each function cPj has compact support.
If U is a given open cover of X, then the partition of unity {cPj} is said to be subordinate to U provided the cover {{x: cPj(x) > O} h is a refinement ofU.
3. Suppose Z is an arbitrary Hausdorff space that is locally metrizable; that is, for each z in Z there is an open neighborhood U of z such that the relative topology on U is metrizable. Show that if every open cover of Z has a locally finite refinement, then Z is metrizable.
(b) the collection of sets {{x : cPj(x) (c)
> Onj
Lj cPj(x) = 1 for all x in X.
Two observations should be made. The first is that the collection of functions in the definition is not assumed to be countable, let alone finite, though in the applications that we will see in this book it will be at most countably infinite. The second observation is that condition (b) of the def inition implies that the sum that appears in (c) has only a finite number of non-zero terms, and so no questions about convergence are necessary. Like Theorem 2.3, the next result is valid for all metric spaces (except for the restriction that the partition of unity be countable), but we prove it here only for the metric spaces we will encounter in this book.
2.6 Theorem. If X is the union of a sequence of compact sets {Kn } such that K n ~ int K n+1 for all n 2: 1 and U is an open cover of X, then there is a countable partition of unity {cPj} subordinate to U.
§3
Convolution in Euclidean Space
In this section a few basic facts about convolution in Euclidean space are presented. In the course of this book convolution on the circle also will be encountered. At the end of this section the definitions and results for the circle are presented without proof. Of course these both come under the general subject of convolution on a locally compact group, but this level of generality is inappropriate here. Recall that an extended real-valued regular Borel measure I.L is defined on all the Borel sets, is finite on compact sets, and its variation satisfies
-- -
178
----
""'--~-~-~~
18. Fundamental Concepts
the usual regularity conditions: for any Borel set E, 1J.lI(E) = inf{IJ.lI(U) : U is open and E <;;;; U} = sup{IJ.lI(K) is compact and K <;;;; E}. If J.l is such a measure, then it admits a Jordan decomposition J.l = J.l+ - J.l-, where J.l+ and J.l- are positive regular Borel measures that are carried by disjoint sets. If J.l is finite valued, then it is bounded with total variation 11J.l11 = 1J.lI(JR) < 00. Our principal interest will be when dis 1 or 2, but specialization to these dimensions does not make the discussion simpler. If J.l is extended real-valued, then either J.l+ or J.l- is bounded. An extended complex-valued regular Borel measure is one such that both its real and imaginary parts are extended real-valued regular Borel measures. For any open subset G of JR, Ce (G) denotes the linear space of continuous functions on G with compact support. Note that this is norm dense in the Banach space Co(G) of continuous functions that vanish at infinity. The space Ce(JR) will be abbreviated Ce • The extended complex-valued measures correspond to the linear functionals L : C e --> C that satisfy the condition that for every compact subset K of JR there is a constant M = MK such that IL(¢)I ::::; MII¢lloo for all continuous functions ¢ with support contained in K. In the future the term "measure" will always refer to an extended complex valued regular Borel measure. A bounded or finite measure is a measure with finite total variation and a positive measure is one for which 0 ::::; J.l(E) :$ 00 for all Borel sets. Bounded measures correspond to bounded linear func tionals on Co = Co(JR) and positive measures correspond to positive linear functionals on Cc'
3.1 Proposition. If J.l is a measure on JR, ¢ is a continuous function with compact support, and F : JR --> C is defined by
F(x) = / ¢(x - y)dJ.l(Y) , then F is a continuous function. If J.l is bounded, then F vanishes at infinity. If J.l has compact support, then F has compact support. Proof. First note that since ¢ has compact support, F is defined. If X n --> x and ¢n(Y) = ¢(x n - y), then there is a compact set K that contains the supports of all the functions ¢n' The Lebesgue Dominated Convergence Theorem implies that F(x n ) --> F(x) and so F is continuous. If J.l is a bounded measure, then the constant functions are integrable. So if X n --> 00, the fact that ¢ has compact support implies that ¢( X n - y) --> 0 for all Y in JR. Once again the Lebesgue Dominated Convergence Theorem implies F(x n ) --> O. The statement involving compact support is left to the reader.
o 3.2 Proposition. Let J.l, A, a, and TJ be measures and assume that A and a are bounded and TJ has compact support.
-
-_._._------------
18.3. Convolution in Euclidean Space
179
(a) There is a measure denoted by J.l function ¢ with compact .5Upport
/ ¢d(J.l*TJ)
=
* TJ
such that for every continuous
/
[ / ¢(X-Y)dJ.l(Y)]
dTJ(x)
/
[/ ¢(x - Y)dTJ(Y)] dJ.l(x).
(b) There is a bounded measure denoted by A * a such that IIA * all ::::; IIA II Iia II and for every continuous function ¢ with compact support,
/ ¢d(A*a)
=
/
[ / ¢(X-Y)dA(Y)] da(x)
/ [/ ¢(X-Y)da(y)] dA(x).
Proof· (a) If F is defined as in (3.1), then the fact that TJ has compact support implies that the first double integral in (a) makes sense; denote this first integral by L(¢). Clearly L is a linear functional on C c ' If K is any compact set, E is the support of TJ, and ¢ has its support in K, then for x in E, ¢(x - y) -=f:. 0 only if y E E - K = {x - z; x E E and Z E K}. Since E - K is a compact set, M = 1J.lI(E - K) < 00. It follows that IL(¢)/ ::::; MII¢lloo IITJII, assuring the existence of the measure J.l * TJ. The fact that the first integral equals the second is an exercise in the use of Fubini's Theorem. (b) Now if L(¢) denotes the first double integral in (b), then IL(¢)I ::::; IIAlillallll¢lloo, thus implying the existence of the measure A * a and the fact that IIA * all::::; IIAllllall· Again the first integral equals the second by Fubini's Theorem. 0 The measures J.l * TJ and A * a are called the convolution of the measures. Whenever we discuss the convolution of two measures it will be assumed that both measures are bounded or that one has compact support. The proof of the next proposition is left to the reader.
3.3 Proposition. With the notation of the preceding theorem, if a is an other measure with compact support and (3 is another bounded measure, then the following hold. (a) J.l
* TJ = TJ * J.l
and A * a = a
* A. * TJ and A * a. support and (J.l * TJ) * a = J.l * (TJ * a)
(b) If all the measures are positive, then so are J.l
(c) The measure TJ * a has compact and (A * a) * (3.
(d) J.l
* (TJ + a) = J.l * TJ + J.l * a
and A * (TJ
+ (3) = A * TJ + A * {3.
.
=~.~.=---~~~~~-=-.::.=~:-=- -----~:=~.;~~.;~~=~~~~-=__=__==~==~=.:,,"',.::::,==c:::=====__==="_"'===_ --~===~::-...;~"'==~- ~":"~::::-:;~~-.=.-.:.~-~,-;_~-~~:::_~~~~~::~~~:~~-=';;~"'~:'~'~~~;;;:;:'';~;'~'~;~;==~~~~~:;~:~~~==::~~~:'~~7~;~~:::;,~:c""",:.::.::~~~-::~.==,,--=o:=-~~_",=:,o::,_=cc,,,=
180
18. Fundamental Concepts
(e) If 60 is the unit point mass at the origin, J.L * 60
= IJ,.
Now to specialize convolution to functions.
3.4 Definition. A Borel function f defined on some Borel subset E of JR is said to be locally integrable if, for every compact subset K of E, II[ If I dA < 00. The set of locally integrable functions on E is denoted by L (E); we set L;oc = L;oc(JR). Similarly, define Lfoc(E) to be the linear space of all Borel functions f such that Ifl P is locally integrable on Ej Lfoc = Lfoc(JR).
181
18.3. Convolution in Euclidean Space
differentiable and non-negative. (Here Ixl is the usual Euclidean norm, Ixl = [xI+" .+x~F/2.) Choose the constant c such that I ¢dA = 1. For E > 0, let ¢"(x) = cd¢(xIE). Note that ¢" is still infinitely differentiable, ¢"(x) = 0 for Ixl 2': E, and I ¢"dA = 1. This net {¢"} is called a mollifieror regularizer and for f in L;oc
(¢"
* f)(y) = 1
¢"(y - x)f(x) dA(x)
10C
Note that if f E L;oc' then J.L(Ll) = It>. fdA is a measure. (A is used to denote Lebesgue measure on JR.) This measure is bounded if and only if f is integrable on JR. Similarly, J.L is positive or has compact support if and only if f 2': 0 or f has compact support. This relation will be denoted by J.L=fA. Suppose f and 9 are locally integrable functions, J.L = fA, and TJ = gAo Assume that either both f and 9 are integrable or one of them has compact support. If ¢ E Ce , then I ¢(x-y) dJ.L(Y) = I ¢(x-y)f(y) dA(y) = I ¢(z)f(x - z) dA(z) by a change of variables. Thus
l¢d(J.L * TJ)
1
[I [I
3.5 Proposition. If f and 9 are locally integrable functions and one of them has compact support (respectively, both are integrable), then the func tion f * 9 defined by
1 f(x - y)g(y) dA(y)
= fA
and TJ
= gA,
*f
- flP dA = O.
Proof. (a) Since ¢£ is infinitely differentiable, the fact that ¢" * f is in finitely differentiable follows by applying Leibniz's rule for differentiating under the integral sign. (b) Let 0 < E < dist(K, JR \ 1I.J). If dist(y, K) 2': E, then ¢"(x -y) = 0 for all x in K. Hence if dist(y, K) 2': E, then (¢" * J)(y) = I K ¢"(y-x)f(x)dA(x) =
f(x - z)g(x) dA(x)] dA(z).
is locally integrable (respectively, integrable). If J.L J.L * TJ = (f * 9 )A.
then
lim [ I¢"
¢(z)f(x - z) dA(z)] g(x) dA(x)
[I
00,
"--+O}K
This leads to the following proposition.
=
(a) For every E > 0, ¢" * f E Coo. (b) If f = 0 off K and U is an open set containing K, then ¢" * f E C;:;O(U) for 0 < E < dist(K,8U). (c) If f is continuous on an open set that contains K, then ¢£ * f --+ f uniformly on K.
¢(x - y)f(Y)dA(Y)] g(x)dA(x)
1 ¢(z)
(f * g)(x)
3.6 Proposition. Let f E L;oc and let K be a compact subset of JR.
(d) If f E Lfc,Cl 1::; p <
= 1[/¢(X-y)dJ.L(y)]dTJ(X) 1
is called the mollification or regularization of f. The reason for these terms will surface in part (a) of the next result. It is important to realize, however, that the mollifier has the property that it is rotationally invariant; that is, ¢"(x) = ¢"(Ixl). This will be used at times in the future.
then
The function f * 9 is called the convolution of f and g. The proposition for the convolution of functions corresponding to Proposition 3.3 will not be stated but used in the sequel. Note that for any constant c, if ¢ : JR --+ JR is defined by letting ¢(x) = c exp[-(1-lxI 2)-lJ for Ixl < 1 and ¢(x) = 0 for Ixl 2': 1, then ¢ is infinitely
O.
(c) Only consider E < dist(K, C\ U). Because I ¢" dA = 1 and ¢" = 0 off B(Oj E), for yin K we have that I(¢" * f)(y) - f(y)1 = ¢£(y - x)[f(x) f(y)]dA(x)1 ::; sup{lf(x) - f(y)1 : [y - xl < E}. But since f must be uniformly continuous in a neighborhood of K, the right hand side of this inequality can be made arbitrarily small uniformly for y in K. (d) Let U be a bounded open set containing K and let 0: > O. Let 9 be a continuous function with support contained in U such that If - glPdA < o:p. If 0 < E < dist(K, C \ U), then
ii
Iv
L* LIi I¢£
f -
¢"
* glP dA
¢"(x - y?/q¢"(x - y)l/P[J(X) - g(x)] dA(Xf dA(y)
:.~",,~~;,:;~~~~~~~~=~:;.~;~:-
18. Fundamental Concepts
182
L(1.
~
1q
1>c(X - y) dA(X)r
(i
i
En < dist(support fnk, aBnk), the preceding proposition implies that sup
port 'l/Jnk <:;;; B nk · Finally, if x E K n \ int K n- 1 ,
.
[L
Therefore l1>c
*f
- flP dAf/P < 20. +
[L
l1>c
*g-
glP dAf/P
By part (c), the right hand side of this inequality can be smaller than 30. if c is chosen sufficiently small. 0 The reader might profit by now looking at Exercise 1 in the next section. Here is an application of the preceding proposition that will prove useful later.
3.7 Proposition. If JL is a measure on C and U is an open subset of the plane such that I 1>dJL = 0 for all 1> in C~(U), then IJL!(U) = o.
Proof. fdJL
Let f be an arbitrary function in Cc(U); it suffices to show that be the support of f and put d = 2- 1 dist(K, aU). If {
I
= O. Let K
I
I
J
=
k=1
1>c(X - y) dA(y)] dA(x)
< aP .
[L
Pn I: l/Jnk(X)
¢c(X - Y)lf(x) - g(x)IP dA(X)) dA(y)
If(x) - g(x)IP
183
18.3. Convolution in Euclidean Space
We now state a somewhat abstract form of Leibniz's rule for differenti ating under the integral sign. 3.9 Theorem. Let (Y, 1:, JL) be a measure space, let G be an open subset of IR, and let ej be the j -th basis vector in JR. Suppose f : G x Y ---+ C is a measurable function that satisfies the following conditions: (a) for each x in G the function Y ---+ f(x,y) belongs to L 1 (JL); (b)
-aa f(x,y) exists for a.e. [JL] yin Y and all x in Gj X J
(c) for each x in G there is a function g in £1 (JL) and a function 8 defined for small real numbers such that 8(t) ---+ 0 as t ---+ 0 and f(x
+ tej, y) t
f(x, y)
8f (
)_
( )8(t)
- ax. x. y - 9 Y J
I
a.e. [JLl. Then F(x) == I f(x, y) dJL(Y) exists and is differentiable with respect to x j with
3.8 Theorem. If G is an open subset of IR and U is an open cover of G, then there is a partition of unity on G that is subordinate to U and consists of infinitely differentiable functions. It is easy to see that G can be written as the union of a sequence of compact sets {Kn } with K n <:;;; int K n+ 1 (see 7.1.2). Thus according to Theorem 2.3 there is a countable locally finite refinement B of U such that B consists of balls. Let B = UnB n , where Bn is a finite cover of K n \ int K n- 1 (Ko = 0); put Bn = {B nk : 1 s:: k s:: Pn}. Arrange matters so that Bn n Bm = 0 for n -1= m. For each n ?: 1 let L n be a compact set with K n \int K n - 1 <:;;; int L n <:;;; L n <:;;; UkBnk. According to Proposition 2.4 there are continuous functions {Jnk : 1 s:: k s:: Pn} such that 0 s:: f nk s:: 1, support fnk <: B nk , and 2:~:1 fnk(X) = 1 for all x in Ln. Now choose Cn > 0 so that it is simultaneously less than dist(Kn \ int K n - 1 , lR \ lLo<) and dist(support fnk, aBnk ); put 'l/Jnk =
k=1
But
I
IL
Pn I: fnk(y) dA(y).
aF ax (x) = J
Proof.
J
af ax (x, y) dJL(y), J
3.10 Corollary. If ¢ is a continuously differentiable function with compact support and f E £1 (A), then
3.11
L(f) =
r r f(zw) dJL(z) dv(w)
laD laD
r-I
II~_~
~-~'-----~~._---._----=-=
__ • •. , -
184
for all f in C(8][Jl). If L : C(8][Jl) -> C is defined as in (3.11), then L is a bounded linear functional and /lLII ~ 11J.Lllllv/l. Since this linear functional L is bounded, the Riesz Representation Theorem implies there is a unique measure on 8][Jl corresponding to it.
II·
3.12 Definition. If J.L and v E M(8D), then J.L in M(8D) such that
. jfd(J.L*V) = {
(
JaDJaD
*v
'I
.....
18. Fundamental Concepts
is the unique measure
,--"""""!?fI!·"!!1"F?r!'TP!'!';"~_~_~~~~iJ!i!!'~t?J.w?!,!,,liiI\~_~_
18.4. D i s t r i b u t i o n s - -- --- -
---
-- --
-
gi2Jll'PJ"!""'!",__ .,"I
-
-
.,!"""",,",,~
-'-~-~5
Exercises 1. Is Proposition 3.1 valid if it is not assumed that ¢ is continuous?
J
JJ
2. If f E L (J.L * v), show that f dJ.L * v = f(x - y) dJ.L(x) dv(y). State and prove the analogous fact for convolution on the circle. 1
3. If E is a Borel subset of JR d, show that (J.L * v)(E) = (J.L x v)({(x, y) E JRd X JRd : x + y E E}). State and prove the analogous fact for convo lution on the circle.
f(zw) dJ.L(z) dv(w)
4. If J.L and v are finite measures on JRd and v << A, then J.L * v << A. State and prove the analogous fact for convolution on the circle.
for all f in C. The measure J.L * v is cp.lled the convolution of J.L and v.
3.13 Proposition. If J.L, v, and TJ E M(8D), the following hold.
and IIJ.L * vii ~ IIJ.LII /lvll· (b) If J.L and v are positive, then J.L * v 2: O. (a) J.L
I
I
!
I
* v = v * J.L
(c) (J.L*v)*TJ=J.L*(v*TJ). (d) J.L* (v+TJ) =J.L*v+J.L*TJ· (e) If 81 is the unit point mass at 1, then 81 * J.L
II I
There is an equivalent way to define J.L Borel subsets of 8 D. See Exercise 3.
=j
=
J.L = J.L * 81 ,
* vasa function defined on the
3.14 Proposition. If f and 9 E L 1 (8ID), J.L C is defined by
h(z)
§4 Distributions
= fm, v = gm,
and h: 8D
->
f(zw) g(w) dm(w)
for z in 8D, then h E L (8ID) and J.L * v = hm. 1
3.15 Definition. If f and 9 E L 1 , then the convolution of f and 9 is the function
(f * g)(z)
=
In this section we will concentrate on distributions on an open subset of the complex plane. The definitions and results carryover to distributions on open sets in JR, and we will need some of these facts for distributions on R However we will need to see some of the relationships involving functions and distributions of a complex variable and obtain information about analytic and harmonic functions. Thus the specialization. It will be left to the reader to carry out the extension to R We make the convention, in line with the mathematical community, that for any region G in C, D( G) = C':' (G). The reader should regain acquain tance with the notation 8¢ and fj¢ from §13.2.
4.1 Definition. If G is an open subset of C, a distribution on G is a linear functional L : D( G) -> C with the property that if K is any compact subset of G and {¢k} is a sequence in D(G) with support ¢k ~ K for every k 2: 1, and if for all m, n 2: 1, 8 n fjm ¢k(Z) -> 0 uniformly for z in K as k -> 00, then L(¢k) -> O. The functions in D(G) are referred to as test functions.
j f(zw) g(w) dm(w).
Note that the preceding proposition shows that the definitions of convo lution for measures and functions are consistent. Also the basic algebraic properties for the convolution of two functions can be read off from Propo sition 3.13. In particular, it follows from part (a) of Proposition 3.13 that
IIf * gill ~ Ilflll IlgliI-
It is possible to define a topology on D( G) such that D( G) becomes a locally convex topological vector space and the distributions are precisely the continuous linear functionals on this space. See §4.5 in Conway [1990]. This observation has more than psychological merit, as it means that results from functional analysis (like the Hahn-Banach Theorem) apply.
4.2 Example. (a) If u E Lioc(G), then u defines a distribution L u via the formula
L u (¢)
= J u¢dA.
(b) If J.L is a measure on G, then J.L defines a distribution L" via the
formula LIJ-(¢) = ¢dJ.L.
J
---
- -
~=-=-_===~_~~~="""~~~_~_~_,,===~---=='-=-_~~=="~-o-==-~-=,c_-=
__
~-=~~~
------ :;:--""'.- -....._.-
- - -..----- ------;--::::-
since k - m - n
4.3 Definition. If L is a distribution On G, let 8L and 8L be the distri butions defined by 8L(¢) = -L(8¢) and 8L(¢) = -L(8¢).
a finite number. 0
On the other hand g/zn is bounded so that
lim f ¢(:) dA(z) = f g(~) dA(z) , c--+O llzl'2c z llzl:5.R z I
·4.5 Proposition. For n
4.4 Lemma. If n
~
exists and is finite. Proof. Let R be sufficiently large that support ¢ <;;; B(O; R). By Taylor's Formula (13.2.4) ¢ = p(z, z) + g, where p is a polynomial in z and z of degree::; n - 1, each derivative of 9 of order::; n - 1 vanishes at 0, and Ig(z)1 ::; Clzln for some constant C. Thus
f
¢(:) dA(z) = z
f p(z~z) dA(z) + f g(:) dA(z).
1R~lzl'2c z 1R~lzl~c z
Now the first of these two integrals is a linear combination of integrals of quotients of the form zk zm / zn for k, m ~ 0 and k + m < n. But
1 [1
f
R
zkzm lR'2lzl>c ---;;- dA(z)
=
0
~
1 define PVn : V
-t
C by
PVn (¢) = lim f ¢(z) dA(z). 10---+0 llzl?c zn Then PVn defines a distribution and
-8PVn = ()n -1
8PVn = -nPVn+1 ,
f
7r
.\0
8 n- 1 80,
where 80 is the unit point mass at the origin. Proof. The preceding lemma shows that PVn (¢) is defined and finite. It must be shown that it is a distribution. So let R be a positive number, let {¢j} be a sequence of test functions with supports all contained in B = B(O; R), and assume that for all k, m ~ 0 8 k a"' ¢j - t 0 uniformly On B. Again use Taylor's Formula to write ¢j = Pj + gj, where Pj is a polynomial in z and z of degree::; n - 1 and each derivative of gj of order ::; n - 1 vanishes at O. From the proof of the preceding lemma it is known that ¢j(z) dA(z) = f gj(z) dA(z) llzl?c zn lR'2lzl?c zn and
r
1 and ¢ E C:;, then
lim f ¢(:) dA(z) c---+O llzl~c z
llzl~c
.~'
187
1= O.
The verification of these statements are left to the reader. Also note that if L is a distribution On G, then ¢ - t L(8¢) and ¢ - t L(8¢) also define distributions On G. This justifies the following definition.
The minus signs are placed here in the definition so that if u is a contin uously differentiable function On G, then 8L u = Leu and 8L u = L7§u' as can be verified by an application of integration by parts. For the most part we will be concerned with distributions that are de fined by locally integrable functions, measures, and the derivatives of such distributions. Be aware, however, that the derivative of a distribution de fined by a function is not necessarily a distribution defined by a function. If u E L~JG), we will often consider 8u as the distributional derivative of u. That is, 8u is the distribution 8L u and the cautiOn just expressed is the reminder that 8u is not necessarily a function. Similar statements hold for 8u and all higher derivatives. In Lemma 13.2.6 and Lemma 13.2.10 it was shown that for any w in C the functions z - t (z - W)-l and z - t log Iz - wi are locally integrable. The derivatives in the sense of distributions of these functions are calculated below. These will see special service later in this book. For the sake of completeness, however, some additional distributions are introduced.
__ __
18.4. Distributions
18. Fundamental Concepts
186
~-o~~o:==--~=:.~""~~~~:;"'~
2 ".
eiCk-m-n)OdO] r k+m - n - 1 dr
r
gj~) dA(z). llzl:5.R z But Taylor's Formula also implies that for each j ~ 1, PVn(¢j) =
:;
'~~i:)' ~! L
k max {18 aJ¢j(w)\ :
k+j=n
Iwl::; R}.
Thus Igj(z)I/lzln - t 0 uniformly On B. Therefore PVn(¢j) - t 0 and PVn is a distribution. To find 8PVn , fix a test function ¢ with support contained in B = B(O; R) and write ¢ = P + 9 as in Taylor's Formula. Using the definition of the derivative of a distribution
8PVn (¢)
=
- lim
r
10---+0 llzl?c
-
l~ f
c 0 llzl?c
8¢~z)
dA(z)
z
[n
¢~:~ +
8(¢Z-n)] dA(z)
z
r
-nPVn+l (¢) - lim 8(¢z-n) dA(z). c--+O llzl'2c
= (_I)n-l
So we must show this last limit is O. To do this it suffices to show that the complex conjugate goes to 0 as E ----> O. This permits the application of Green's Theorem and so
(
=
[8(¢z-n)]* d.A(z)
(
B[(J)/zn] d.A(z)
11
-2i
~
2
1
¢ =dz Izl=e zn
27r
0
I
- -n1-1 2E -
1
27r
0
1
27r
1
=
2E n - 1
Illzl?e
[8(¢z-n)]* d.A(z) I
(})
e-i(n+l)(}
-
where 8w is the unit point mass at w. 4.7 Proposition. Ifw E G, then, in the sense of distributions on G:
Izi ::; R. Therefore
(a) Olog jz - wi = [2(z - W)]-l and Blog Iz - wi = [2(z - w)]-\ (b)
n _l max Ig(Eei(})1 (}
8PVn (¢)
= - lim ----; -
2E n - 1
1
27r
- lim
. . (Ee,(})n-le-t(n-l)(}dB = 1r.
1r
(n _ I)! 8
1 1
10---+0 u•
- lim
10---+0
U.
(B¢) log Iz - wi d.A(z) {B[¢(z) log Iz - wI]
- ¢(z)Blog Iz - wi} d.A(z) lim
~....
{~{
10---+0 2t lauE
¢(z) log Iz - wldz
+ ~ { !(z~ d.A(Z)}. 2 lu. z - w But
0
=
(B¢) log Iz - wi d.A(z)
. . ¢(Ee'(})e-,(n-l)(} dB.
Now the coefficient of zn-l in the expression for p is 8 n- 1 ¢(O)/(n - I)!. Assembling these pieces produces BPVn (¢)
-J
0
Now substitute p+g for ¢ in this integral. It is left to the reader to show that the limit of the integral for 9 is O. For the integral involving the polynomial p, note that the integral of all the terms involved are 0 save possibly for the term with zn-l. Here we have that
-1-
[Blog Iz - wl](¢)
¢ dz -:;;
27r
lim -1-
I
log Iz - wi = 21r8w , where 8w is the unit point mass at w.
10---+0 2t Izl=e z 27r ,t..( Ee i(}) . i(}dB
e---+02E n - 1
I
~
Proof. (a) If ¢ E V(G), let r be a smooth positive Jordan system in G such that support ¢ 5; U == ins r 5; G and w E U. Let E be a positive number such that Be = B(W;E) 5; U and let Ue = U\Be. So using Green's Theorem
< C1rE,
11 .1 1
8[(z - W)-l] = -PV2
B[(z - W)-l] = -(PV2 )* 8[(z - W)-l] = 1rOw,
dB
_ . g(Eei(})e,(n+l)(}dB.
Clzln for
E
4.6 Corollary. For any point w in C,
B[(z - w)-l] = 1rbw
1r
::;
Two special cases of this are worth underlining. Note that in the preced ing proposition when n = 1 the functions Z-l and Z-l are locally integrable . and thus define a distribution. Combining this with Exercise 3 we get the following.
'~\;
which converges to 0 as E ----> O. Now to find BPVn . Let ¢,p, g, and B(O; R) be as above. Once again an application of the definition of the derivative of a distribution and Green's Theorem show that
!
i
¢(Ee
i
"!III'i'.
0
But there is a constant C such that Ig(z)1 ::;
(
'I·'"\It,
¢(Eei(}) . i(} Ene-in(} tEe dB
(an-160)(¢).
o
1R?lzl?e
llzl?e
1r
(n - I)!
{
lauE
¢(z) log Iz - wldz
-l
aBE
¢(z)loglz-wldz {27r
l
n -
¢(O)
-E log Elo
¢( w + Eei(})ie i(} dB
£L__
~~~--_o=~=~i90~~--'"- -~ -
~
_--_
18. Funda:ental Concepts
'1; --, ;
and this converges to 0 as c ------> O. This proves the second half of (a). To get the first half, just apply Exercise 3. (b) This is a consequence of (a), the preceding corollary, and the fact that A = 488. 0
; • •. ". )'
":;:,--=~
---::-=-_o:~=-=-
---- - __-
18.4. Distributions
191
=
:;~.
f u(z) [f ljJ(w):w!:w [¢Jc(w - z)] dA(W)] dA(z) J u(z) [J 1j;(w):z ~[¢Jo(w - z)] dA(w)] dA(z)
Note that it is not possible to define the product of two distributions, but if L is a distribution on G and ¢J is a test function, then ¢JL('l/J) == L(¢J'l/J) defines another distribution on G. This produces a product rule.
=
J u(z):z ~ [J 1/J(w)¢Jo(w - z) dA(W)] dA(z)
4.8 Proposition. If L is a distribution on G and ¢J is a test function, then
=
J u(z)8a(¢<: * 1j;)(z) dA(z)
8(¢JL)
=
(8¢J)L
+ 1>(8L) and 8(¢JL) = (8¢J)L + ¢J(8L).
The proof is left as an exercise. Say that a distribution L on G is positive if L(¢J) ;::: 0 whenever ¢J is a non-negative test function. An example of a positive distribution is one defined by a positive measure. The next proposition provides a converse. 4.9 Proposition. The distribution L on G is positive if and only if there
is a positive measure I-l on G such that L(¢J) =
f ¢Jdl-l'
Proof.
To prove this proposition it must be shown that for any compact subset K of G there is a constant C = CK such that IL(¢J)I :::; CII¢Jlloo for every real-valued test function ¢J with support contained in K. Indeed, if this is done, then the fact that the infinitely differentiable functions with support contained in K are dense in Co(int K) allows us to extend L to a bounded linear functional on Co(int K). From here we produce the measure on G (details?). Let 'l/J be a test function with compact support in G such that 0 :::; 'l/J :::; 1 and 'l/J = 1 on K. (See Exercise 1.) If ¢J is a real-valued test function with support included in K and 1I¢J1l00 :::; 1, then -'l/J :::; ¢J :::; 'l/J. Because L is positive, this implies that -L('l/J) :::; L(¢J) :::; L('l/J). That is, IL(¢J)I :::; C, where C == L('l/J). Thus IL(¢J)I :::; C11¢J1100 for any real-valued test function with support included in K. 0 E L~JG) and 88u = 0 as a distribution, then there is a harmonic function f on G such that u = f a.e. [Area}.
4.10 Weyl's Lemma. Ifu
Proof. Let {¢J<:} be a mollifier. Fix 8 with 0 < € < 8 and put G /j = {z E G: dist(z,8G) > 8}. Note that %z(¢J<:(w - z)) = (¢J<:(w - z)). Hence if 'l/J E V(G/j), then
:.v
J'l/J88(¢J<:
* u) dA =
J 88'l/J(w)(¢J<: * u)(w) dA(w) J u(z) [J 8a'l/J(w)¢J<:(w - z) dA(w)] dA(z)
88L,,(¢J<: * 'l/J) =
O.
That is, 88(¢J<: * u) = 0 on G/j. Since ¢J<: * u E Coo, ¢Jo * u is harmonic on G/j when 0 < € < 8. By part (d) of Proposition 3.6, fK l¢Jo * u - ul dA --> 0 as € --> 0 for any compact subset K of G/j. Since Bergman spaces are complete, u E L~(U) for any open set U with cl U <:;;: Glj. Since 8 was arbitrary, the result follows. 0
4.11 Corollary. If u is a locally integrable junction on G and au = 0 in
the sense of distributions, then there is an analytic function f on G such that u = f a. e. [Area). Proof. Since au = 0, 88u = O. But Weyl's Lemma implies that u is harmonic on G. In particular, u is infinitely differentiable. It now follows that u is analytic (13.2.1). 0 This corollary is also referred to as Weyl's Lemma. Indeed there is the mother of all Weyl Lemmas, which states that if L is a distribution on G and D is an elliptic differential operator such that D( L) = 0, then L is given by an infinitely differential function u that satisfies Du = O. Both 8 and 88 are examples of elliptic differential operators.
Exercises 1. If K is a compact subset of the open set U in C, this exercise shows how to construct an infinitely differentiable function that is 1 on K and has compact support inside U. (a) Define 91 on lR by 91(X) = exp(-x- 2 ) for X ;::: 0 and 91(X) = 0 for x :::; O. Show that 91 is a Coo function. (b) Put 9(X) = 91(X)91(1 - x) for all x in lR and show that 9 is a Coo function, 9 ;::: 0, and 9(X) = 0 for x 1. (0,1). (c) If M = f g(x) dx and h(x) = M- 1 f; g(t) dt, then h is a Coo function, o :::; h :::; 1, h(x) = 0 for x :::; 0, and h(x) = 1 for x ;::: 1. (d) Define
192
18. Fundamentai Concepts
k(x) = 1 - h(2x - 1) for x ~ 0 and extend k to the negative real axis by letting k(x) = k( -x) for x s: O. Show k is a Coo function, OS: k s: 1, k(x) = 1 for Ixl s: 1/2, and k(x) = 0 for Ixl ~ 1. (e) Now define f : C ----> 1R by f(z) = k(lzl) and show that f is a Coo function, OS: f s: 1, f(z) = 1 for Izi ~ 1/2, and f(z) = 0 for Izi ~ 1. If e > 0, define fe(z) = f(z/e) and put C = I f(z) dA(z). Check by using the change of variables formula that I fe (z) dA( z) = Ce 2 . If
5.2 Proposition. If /-l is a compactly supported measure, the following statements hold. (a) p, is locally integrable. (b) P, is analytic on Coo \ support(/-l). (c) For w in C \ support(/-l) and n ~ 0,
t
2. Show that if u is locally integrable such that ou exists a.e. [Area] on G and ou is locally integrable, then oL u = L au .
3. Show that for any distribution L, L * (
§5
== L(1)) defines a distribution
The Cauchy Transform
In this section we introduce and give the elementary properties of the Cauchy transform of a compactly supported measure on the plane. This is a basic tool in the study of rational approximation, a fact we will illus trate by using it to give an independent proof of Runge's Theorem. If /-l is any compactly supported measure on C, let
JL(w) =
J
Iw
~ zl dl/-ll(z)
when the integral converges, and let JL( w) = 00 when the integral diverges. It follows from Proposition 3.2 that ji is locally integrable with respect to area measure. Thus ji is finite a.e. [Area]. (Also see Lemma 13.2.6.) Since ji E L l1oc ,the following definition makes sense.
5.1 Definition. If /-l is a compactly supported measure on the plane, the Cauchy transform of /-l is the function p, defined a.e. [Area] by the equation p,(w) =
J
_1_ d/-l(z).
z-w
In fact the Cauchy transform is the convolution of the locally integrable function Z-l and the compactly supported measure /-l.
193
18.5. The Cauchy 'fransforrn
onp,(w) = (-ltn! (d) p,( 00)
J
(z - w)-n- 1 d/-l(z).
= 0 and the power series of p, p,(w) =
near 00 is given by
~ (J zn d/-l(Z)) w:+ 1'
Proof. The proof of (a) follows the lines of the discussion preceding the definition. Part (c), and hence the proofthat p, is analytic on C\support(/-l), follows by differentiating under the integral sign. Note that as w ----> 00, (z w)-l = w-1(z/w _1)-1 ----> 0 uniformly for z in any compact set. Hence p, has a removable singularity at 00 and p,( 00) = O. It remains to establish (d). This is done by choosing R so that support (/-l) ~ B(O; R), expanding (z - w)-l = _w- 1(1- Z/W)-l in a geometric series for jwl > R, and integrating term-by-term. 0 A particular Cauchy transform deserves special consideration.
5.3 Proposition. If K is a compact set having positive area and f(z) == [(( - z)-ldA(() for all z in C and f( 00) = 0, then f : Coo ----> C is a continuous function that is analytic on Coo \ K with /' (00) = -Area K. In addition, If(z)1 ~ [7f Area(K)F/2. Proof The fact that f is analytic on C \ K and f(oo) = 0 follows from the preceding proposition. That f is a continuous function on Coo is left as an exercise for the reader (see Exercise 1). Since f is continuous at 00, 00 is a removable singularity; because f(oo) = 0, /'(00) is the limit of zf(z) as z ----> 00. But zf(z) = IK((/z - l)-ldA(() ----> -AreaK as z ----> 00 since (/z ----> 0 uniformly for ( in K. It remains to prove the inequality for If(z)l. This inequality is due to Ahlfors and Beurling [1950], though the proof here is from Gamelin and Khavinson [1989]. From the properties we have already established and the
--
194
18. FUndamental Concepts
Maximum Modulus Theorem, f attains its maximum value at some point of K. By translating the set K, we may assume that 0 E K and f attains its maximun at O. In addition, if K is replaced by a suitable unimodular multiple of itself, we may assume that f(O) > O. Thus
L
lJ(z)1 ::; f(O) =
~ dA(().
Re
_..._._- _..
195
18.5. The Cauchy Transform
oa,
Note that if J-l = then p,(z) = (a - Z)-l. So in general the Cauchy transform of a compactly supported measure is not continuous. Since p, is locally integrable, it defines a distribution on C and so it can be differentiated.
5.4 Theorem. If J-l is a compactly supporled measure on C, then
8p, = -1rJ-l. Let c = ~ [ Ar;aK ]
1/2
and let a = 1/2c. It is elementary to see that
the closed disk D ~ B(a;a) is {z : Re(l/z) 2: c} and that D and K have the same area. Thus A(D n K) + A(D \ K) = A(D) = A(K) = A(D n K) + A(K \ D); hence A(D \ K) = A(K \ D). On the other hand, Re(l/() ::; c for ( in K \ D and Re(l/() ~ c for ( in D \ K. Therefore
f(O)
::;
r
Re
~ dA + cA(K \ D)
r
Re
_(1
r
Re~dA+
JKnD
=
JKnD
<
JKnD
r
By Corollary 13.2.9 this becomes 8P,( ¢) = -1r J ¢ dJ-l, whence the first part of the theorem. For the uniqueness statement, suppose h is such a function. It follows that 8(P, - h) = O. By Weyl's Lemma (4.11), p, - h is almost everywhere equal to an entire function f. But f = P, - h has a removable singularity at 00 and is 0 there. Hence f == o. 0
Re! (
JD\K
1 21r
--"C7dO= iIJ a + re a '
5.5 Corollary. If G is an open set, J-l is a compactly supporled measure on the plane, and p, = 0 a.e. [Area] on G, then 1J-lI(G) = O.
by converting this to an integral around the circle z = a converting to polar coordinates, we get that
LRe~dA
11 1 1 a
=
2
o
a
Re
J
Proof.
If ¢ E C;:O(G), then ¢dJ-l sition 3.7 that 1J-lI(G) = O. 0
= _1r- 1 8p,(¢) = O. It follows by Propo
5.6 Corollary. If G is an open set, J-l is a compactly supporled measure on the plane, and p, is analytic on G, then 1J-lI(G) = O.
1211"
1 dOrdr a + re'
The Cauchy transform is the premier tool in uniform rational approxi
mation and in the next section this statement will be borne out.
'n
'n
0
21r -rdr
o a 1ra
1r [ Ar:aK] 1/2 [1r Area Kjl / 2.
o
Hence
1 dOrdr a + re'
0
a
+ re iIJ •
Re
11"
o
- /8¢(z) [/ (w - Z)-ldJ-l(W)] dA(z)
p,8¢dA
/ [/ 8¢(z)(z - W)-l dA(Z)] dJ-l(w).
1
o
= - /
dA + cA( D \ K)
We leave it to the reader to show that for 0 < r < a,
211"
If ¢ E C;:O, then
8p,(¢)
~dA.
Re
Proof.
(
(
L
Moreover, p, is the unique solution to this differential equation in the sense that if h E L 1 such that 8h = -1rJ-l, h is analytic in a neighborhood of 00, loc and h( 00) = 0, then h = P, a. e. [Area].
Exercises 1. If f is a function that is integrable with respect to Lebesque measure
and has compact support, show that the Cauchy transform of J-l = fA is a continuous function on Coo' 2. When does equality occur in the inequality in Proposition 5.3?
iii
---M
@&&. '
T- "ii!f
FE ....-.
..
-""-Z;:zg;r~;;f ~ ,.----~.--'-
--
.-'t;W"~~ '~
18. Fundamental Concepts
196
- ,..r~~=-~"""-"T
- .,... --
-~":';':G;"'ij"Oiiiii:
~"
~----
~_---_.
-""-
197
18.6. Rational Approximation
3. Using the method used in proving Proposition 5.3, show that for any compact set K, I K Iz - w[-ldA(w) :::; 2[1rArea(K)p/2. When does equality occur?
Here is a classical theorem on rational approximation obtained before the introduction of the Cauchy transform. Note that it extends the Weierstrass Approximation Theorem.
4. Let Ji, be a measure with compact support and suppose 9 is a con tinuously differentiable function with compact support. If v = gJi, 1r- 1 (8g){L' A, then v = giL.
6.3 Hartogs-Rosenthal Theorem. If Area(K) = 0, then R(K) = C(K).
5. (a) If Ji, and v are measures with compact support such that {L and v are continuous functions, show that {Lv is the Cauchy transform of
VJi, + {Lv. (b) Show that if K is a compact set, then {h : h is a bounded}. Borel function with compact support and h = 0 a.e. on K} is a dense subalgebra of R(K). (c) If K is compact and E is a Borel subset of K, define R(K, E) to be the closure in C(K) of {h : h is a bounded Borel}. function with compact support and h = 0 a.e. on E}. Show that R(K, E) is a sub algebra of C(K) with the following properties: (i) R(K) ~ R(K, E); (ii) a measure Ji, supported on K is orthogonal to R(K, E) if and only if {L = 0 a.e. on C \ E; (iii) if Area(E) = 0, R(K, E) = C(K); and if Area(K \ E) = 0, R(K, E) = R(K).
§6
- ._ ~
An Application: Rational Approximation
In this section the Cauchy transform will be applied to prove two theorems in rational approximation: the Hartogs-Rosenthal Theorem and Runge's Theorem. But first a detour into some general material is required. The next result shows that by means of the Hahn-Banach Theorem questions of rational approximation in the supremun norm can be reduced to questions of weak approximation.
6.1 Definition. If K is a compact set in the plane, R(K) is the uniform closure in C(K) of Rat(K). Note that R(K) is a Banach algebra. 6.2 Theorem. If K is a compact subset of C and Ji, is a measure on K, then Ji,J..R(K) if and only if (L(w) = 0 a.e. [Area] on C \ K.
Proof. Assume Ji,J..R(K) and note that for w ~ K, (z - W)-l E R(K). Hence (L(w) = 0 off K. Conversely, assume that {L = 0 a.e. [Area] off K; since {L is analytic off K, {L is identically 0 off K. This implies that all the derivatives of {L vanish on Coo \ K. From (5.2.c) and (5.2.d) we get that Ji, annihilates all polynomials and all rational functions with poles off K. Hence Ji,.1R( K). 0
. Proof. Let Ji, E M(K) such that Ji,J..R(K); so {L = 0 off K. Since Area(K) = 0, this implies that {L = 0 a.e. [Area] on C. By Corollary 5.5, Ji, = O. By the Hahn-Banach Theorem R(K) = C(K). 0 One of the main ways in which Cauchy transforms are used is the fol lowing device. Assume Ji, is supported on the compact set K and let f be analytic on an open set G with K ~ G. Let r be a positively ori ented smooth Jordan system in G such that K ~ insr. Thus for every z in K, f(z) = (21ri)-1 I r f(w)(w - z)-ldw. An application of Fubini's Theorem now implies that
j f(z)dJi,(Z)
6.4
=
-~ 21rt
{
Jr
f(w) (L(w) dw.
6.5 Runge's Theorem. Let K be a compact subset of C and let E be a
subset of Coo \ K that meets each component of Coo \ K. If f is analytic in a neighborhood of K, then there are rational functions Un} whose only poles are in the set E such that f n -+ f uniformly on K. Proof. Let Ji, be a measure on K such that I 9 dJi, = 0 for every rational function 9 with poles contained in E. It suffices to show that I f dJi, = 0 for every function f that is analytic in a neighborhood of K. Fix a component U of Coo \ K and let W E Un E; assume for the moment that W # 00. Using (5.2.c) we get that every derivative of {L at w is O. Thus (L(z) == 0 on U. If w = 00, then the assumption on Ji, implies that I pdJi, = 0 for all polynomials. Thus using (5.2.d) we get that (L(z) == 0 on U. Hence {L vanishes on the complement of K (and so Ji,J..R( K) ). If G and r are chosen as in the discussion prior to the statement of the theorem, (6.4) shows that J fdJi, = O. 0 Uniform rational approximation is a subject unto itself; Conway [1991], Gamelin [1969], Stout [1971] are a few references. Exercises 1. Let K be a compact subset of C and let Ji, E M (K). If ¢ is any smooth
function with compact support, put Ji,¢ = ¢Ji,-1r- 1 {L8¢A. Prove the following. (a) "ji;j, = ¢{L. (b) Ji,J..R(K) if and only if Ji,¢J..R(K) for all smooth function ¢ with compact support. (c) R(K) = C(K) if and only if for every closed disk D, R(K n D) = C(K n D).
198
18. Fundamental Concepts
2. If K is a closed disk or an annulus, show that R(K) = A(K), the algebra of continuous functions on K that are analytic on its interior. 3. Show that there are open disks {~j} of radius rj having the following properties: (i) cl ~j <:;;: II)) and cl ~j n cl ~i = 0 for i =f. j; (ii) '2:j rj < 00; (iii) K = cl II)) \ Uj ~j has no interior. The set K is called a Swiss cheese. For j 2: 1, let Ij be the boundary of ~j with positive orientation and let Vj be the measure on K such that I f dVj = f for every f in C(K). Note that Ilvjll = rj. Let 10 be the positively oriented boundary of II)) and let Vo be the measure on K such that I f dvo = f10 f for every f in C(K). Let J1, == Vo + '2:"J vJ", a measure in M(K). Show that J1,l-R(K) and, since J1, =f. 0, R(K) =f. C(K) even though K has no interior.
- IIi
§7
Fourier Series and Cesaro Sums
Throughout this section, normalized Lebesgue measure on em will be de noted by m, and the Lebesgue spaces of this measure will be denoted by £P(811))) or simply £P. Note that since m is a finite measure, £P(811))) <:;;: £1(811))) for 1 ::::: p ::::: 00. So results obtained for functions that belong to £1 are valid for functions in £P. We also will be concerned with the space of continuous functions on (11)), C = C(811))), and its dual, the space of complex-valued regular Borel measures on (11)), M = M(811))). 7.1 Definition. If J1, E M(811))), then the Fourier transform of J1, is the function p, : Z - t iC defined by
p,(n) =
f z ndJ1,. lao
(First our apologies for using the same notation for the Fourier transform of J1, as for the Cauchy transform, but here is an instance where tradition is best followed.) Now if f E £1, then dJ1, = f dm is a measure and so its Fourier transform can also be defined. Here the notation used is j = p,. For any measure J1, we call {p,(n) : n E Z} the Fourier coefficients of J1,. The series '2:::"=-00 p,(n)zn is called the Fourier series for the measure J1,. The idea here is that we would like to know if the measure or function can be recaptured from its Fourier series. That we should have any right to have such a hope stems from the density of a certain set of functions. A trigonometric polynomial is a function in C(8 11))) of the form '2:~=-m akz k .
199
18.7. Fourier Series
Proof. The first part is an easy consequence of the Stone-Weierstrass The orem. The last statement only needs the calculation necessary to show that the functions zn are orthonormal. D 7.3 Corollary. If J1, E M and p,(n) measure.
The preceding corollary says that a measure is completely determined by its Fourier coefficients. Thus we have the hope that the measure can be recaptured from its Fourier series. At least in the case of functions in the space £2 this hope is borne out.
7.4 Theorem. If f E £2(811))), then j E £2(Z). If V : £2(8Z) - t £2(Z) is defined by V f = j, then V is an isomorphism of the Hilbert spaces.
Proof. The first part, that j E £2(Z), as well as the statement that V is an isometry, is a direct consequence of Parseval's Identity and the fact that {zn} is a basis for £2 (8 11))). If f = zm, then it is straightforward to check that j(n) = 0 if n =f. m and j(m) = 1. Thus the range of V is dense and so V must be an isomorphism. D Theorem 7.4 says that, at least in the case of an £2 function, the Fourier series converges to the function in the £2 norm. This is not the case for other functions and measures, but the intricacies of this theory are more appropriately handled by themselves. Instead we will concentrate on what is true and will have value for later in this book. The reader interested in pursuing convergence of Fourier series can see Chapter II of Katznelson [1976]. In particular it is proved there that the Fourier series of a function in £P, 1 < p < 00, converges to the function in norm and that this is false for £1, He also gives an example of a continuous function whose Fourier series diverges at a point and thus cannot converge uniformly to the function. The story for pointwise convergence is much more complicated. It was proved in Carleson [1966] that the Fourier series of a function in £2 converges a.e. This was extended in Hunt [1967] to £P, P > 1. An exposition of the Carleson and Hunt work can be found in Mozzochi [1971]. In Katznelson [1976] is the proof of a result of Kolmogorov that there is a function in £1 whose Fourier series diverges everywhere. For any formal Fourier series '2:::"=-00 cnz n , z in (11)), let sn(z) be the n th partial sum of the series, sn(z) = '2:~=-n Ckzk. The n-th Cesaro means of the series is defined for z in 8 II)) by
1 n-l
an(z) 7.2 Proposition. The trigonometric polynomials are uniformly dense in C (8 11))) and hence dense in £P (8 11))) for 1 ::::: p < 00; they are weak* dense in £00(811))). Thus {zn : n E Z} is an orthonormal basis for £2(811))).
= 0 for all n in Z, then J1, is the zero
= ~ L Sk(Z). k=O
It is worth noting that a Cesaro mean is a trigonometric polynomial. By the n-th partial sum and the n-th Cesaro mean for the measure J1" we
=
.__
_
..
~
_---=
m
~TiiiT----~ ~~-~~~-EE5EtjjiQR-----
18. Fundamental Concepts
200
mean the corresponding quantity for the associated series. To indicate the dependence on f.L, these sums are denoted by sn(f.L, z) and (Tn(f.L, z); if f E LP, sn(f,z) and (Tn(f,z) are the corresponding sums. Recall that M = C*, and hence M has a natural weak* topology. Here is the main result of this section.
--
-
-
18.7. Fourier Series
201
if ( = e iIJ , n
L
=
Sn(()
n
k==O
(a) If f E £P, 1 S p < E
(c) If f E
00,
then (Tn(f, z)
---+
f in the £P norm.
--
C, (Tn(J,z) ---+ f uniformly on oj[)). L oo , (Tn(f,z) ---+ f in the weak* topology of L OO •
The proof will be obtained by a recourse to operator theory on a Banach space. If X is one of the Banach spaces under consideration (that is, X = £P, C, or M), define (Tn : X ---+ X by letting (Tn(x) = the n-th Cesaro sum of x. (If X = M and f.L E M, then (Tn(f.L) is the measure that is absolutely continuous with respect to m whose Radon-Nikodym derivative is the trigonometric polynomial (Tn(f.L).) To prove the theorem, it must be shown that if X = LP, 1 S p < 00, or C, then lI(Tn(z) - xii ---+ 0, and if X = Loo or M, then (Tn(x) ---+ x weak* for every x in X. Actually we will see that the last part follows from the first part and a duality argument. But first we will see that (Tn is actually an integral operator. If f E L 1 with Fourier series L:~==-oo Cnz n , then 8 n (f,
z)
=
ktn
[1
1-(
f(w)Wkdm(w)] ,zk
f(w) [ktn (WZ)k] dm(w).
Therefore
1
(Tn(f.L,z) =
1 _ (n+1
1-(
-1
ReC - Re(n+1 1- Re( cos nO - cos(n + 1)0 1- cosO From here it follows that
K n (()
7.8
=
!n
[1-
Re(n] l-Re(
=
!n
[1-
no] .
cos I-cosO
7.9 Lemma. For each n ~ 1, K n ~ 0, K n (() = K n ((), and J Kndm = 1. Proof. Applying the half angle formulas from trigonometry to (7.8), it follows that K n (() = n- 1[(sin(nO/2»/ sin(O/2)jZ ~ O. It is also clear from (7.8) that the second part is valid. For the last part, use (7.6) with f == 1.
o
f(w)Kn(wz) dm(w),
(a) If 1 S p < 00 and q is the index dual to p, then the adjoint of the operator (Tn : LP ---+ LP is the operator (Tn : Lq ---+ Lq.
(b) The adjoint of the operator (Tn : C
((Tn(J)1 g)
1 [1 g(z)
1 1
f(w)
1
f(w)
Kn(wz)df.L(w).
To properly study (Tn, we need to get a better hold on the kernel K n . To do this, let's first look at the n-th partial sum of the series L:~=-oo C. So
---+
C is the operator (Tn : M
---+
M.
Proof. Only part (a) will be proved. Let f E £P and g E Lq. By inter changing the order of integration and using the preceding lemma, it follows that
where K n is the n-th Cesaro mean of the formal series L:~==-oo (n. This kernel K n is called Fejer's kernel. The same type of formula holds for a measure f.L:
7.7
+
7.10 Lemma.
1 (Tn(J, z) =
k==1
1 - (n+1
(d) If f.L E M, (Tn(f.L, z) ---+ f.L in the weak* topology of M. (Here we think of the Cesaro mean (Tn(f.L, z) as the measure (Tn(f.L, z) . m.)
7.6
n
L(k+ L(k
7.5 Theorem.
(b) If f
(k
k==-n
[1 [1
(I, (Tn(g»). o
f(W)Kn(wZ)dm(W)] dm(z) g(z)Kn(wz) dm(z)] dm(w) g(z)KnCzw) dm(Z)] dm(w)
~~~~~~=;;:;:;;::o;,.~~~=~~~~~~-:::~~~~~~~~S::-~';:;::~;_:;;§'?~~':':::~";;;;;;r--
18. Fundamental Concepts
202
We can now state a general Banach space result that, when combined with the preceding lemma, will show how parts (c) and (d) of Theorem 7.5 follow from parts (a) and (b).
7.11 Proposition. Let X be a Banach space and let {Tn} be a sequence
01 bounded operators from
X into X.
(a) IlsuPnllTnl1 < 00, D is a dense subset 01 X, and IITnx - xii - 0 lor all x in D, then IITnx - xll- 0 lor all x in X.
(b) II IITn(x) -xlr - 0 lor all x in X, then lor every x* in X*, weak* in X*.
T~x*
(a) If x E X and ~ is a positive number, let y E D such that Ilx-yll < min(~/2c,~/2), where C = sUPnlITnll· Then IITnx-xll ':S IITn(x y)11 + IITny - yll + Ily - xii ':S 2~/3+ IITny - yll· This can be made less than ~ for all sufficiently large n. (b) This is easy: I(x, T~x* - x*)1 = I(Tnx - x, x*)1 ':S IITnx - xllllx*ll- O.
o We can now prove the main theorem.
Proolol Theorem 7.5. (a) Let IE LP and let 9 E Lq, where q is dual to p. First note that, by a change of variables, O"n(f, z) = J l(w)Kn(wz)dm(w) = J I((z) K n (() dm((). Hence =
If
g(z)
[f I(W)Kn(wz)dm(W)] dm(z)1
=
If [f If [f
<
f K n(() f Ig(z)/((z)j dm(z) dm(().
g(z)
9((z)Kn(()dm(()] dm(z)!
Kn(()
g(z)/((z) dm(z)] dm(()j
Applying Holder's inequality and using the fact that Idm, we get
J
I(O"n(f),g)1
':S
-_~
18.7. Fourier Series
~~-~-
J I((z) dm(z)
f Kn(()llgllqll/llpdm(()
< Ilgllqll/llp since J Kndm = 1. Hence II00nii ':S 1 for all n. It is easy to check that for any integer k, O"n(zk) _ Zk uniformly as n - 00. Thus for a trigonometric polynomial I, O"n(f) - I uniformly as n - 00. Since the trigonometric polynomials
--.-_.
203
are dense in V for all finite p, part (a) follows from part (a) of the preceding proposition. (b) This is easier than part (a). If I E C, then 100n (f' z) I ':S I/( w) I K n (wz) dm(w) ':S 11/1100 and so II00nii ':S 1. Since convergence holds for the trigono metric polynomials, part (b) follows. As mentioned before, parts (c) and (d) follow from parts (a) and (b) via . the second part of the preceding proposition. 0
J
- x·
Prool.
I(O"n(f),g)1
-;.:-=
Exercises 1. Compute the Cesaro means of 81, the unit point mass at 1. 2. If f..L and v E M, show that ,J*v(n)
=
p,(n)D(n) for all n in Z.
3. In this and succeeding exercises a concept is presented that can be used to give some of the results of this section a unifying treatment. For details see Katznelson [1976], p. 14. For any function I on a]j)) and z in a]j)), define Iz(w) = I(wz). A linear manifold X in £1 is a homogeneous space if: (i) X has a norm II . II such that I1I1I ;::: 1I/Ih for all I in X and with this norm X is a Banach space; (ii) Iz E X whenever I E X; (iii) Ilfll = Il/zll for all I in X and all z in a]j)); (iv) for each I in X, the map z - Iz is a continuous function from a]j)) into X. (a) Show that C(a]j))) and LP, 1 ':S p < 00, are homogeneous spaces. (b) Show that Loo satisfies properties (i) through (iii) in the definition, but is not a homogeneous space. (c) If X is a linear manifold in L 1 that satisfies conditions (i) through (iii) in the definition of a homogeneous space and Xc is defined as the set of all I in X such that the function z - Iz is a continuous function from a]j)) into X, show that Xc is a closed subspace of X (and hence a homogeneous space). If X = L oo 1 show that Xc = C. 4. This exercise continues the preceding one; X denotes a homogeneous space. (a) If I E X and 9 E L1, show that 1* 9 E X. (b) If O"n(f) is as in (7.6), show that IIO"n (f) - III - 0 for every I in X. (c) Show that the trigonometric polynomials are dense in X. 5. If X and Xc are as in part (c) of Exercise 3, show that O"n(f) E Xc for all I in X. Prove that Xc is the closure in X of the trigonometric polynomials. 6. This exercise continues Exercise 4 and maintains its notation. If x* E X* and z E a]j)), define x;(f) = x*(fz) for all I in X. (a) Show that Ilx; II = Ilx* II and is a continuous function from a]j)) into (X*,wk*). (b) If O"n is as in (7.6) and O"~: X* - X* is its dual map, show that O"~(x*) - x*(wk*) in X* for all x* in X*.
z - x;
Chapter 19 Harmonic Functions Redux In this chapter a treatment of the Dirichlet problem for sets in the plane is presented. This topic will be continued in Chapter 21 when harmonic mea sure and logarithmic capacity are introduced and applied. Some material from Chapter 10 must be restated in the more general setting needed for the more extensive study of harmonic functions. In Chapter 10 all functions considered were continuous; here measure theory will be used to broaden the class of functions. The attitude taken will be that usually results from Chapter 10 will be restated in the more inclusive context, but proofs will be furnished only if there is a significant difference between the proof needed at present and the one given for continuous functions. The chapter begins by returning to a closer examination of functions defined on the unit disk, J[)).
§1
Harmonic Functions on the Disk
The notation from §18.7 remains in force. Recall the definition of the Pois son kernel: for w in oJ[)) and Izi < 1,
Pz(w)
Re(w+z) w-z Re (1
+~)
1- zw
00
00
~)zw)n + ~)zw)n. n=O
n=l
The reader should review the properties of the Poisson kernel from Propo sition 10.2.3. If /1 E M and Izi < 1, define jj,(z) = J PAw) d/1(w). Similarly, if I E L\ define j(z) = J I P z dm. These definitions are consistent since = j. It is not difficult to prove the following.
lm
1.1 Proposition. 11/1 E M(oJ[))), then jj, is a harmonic function in
J[)).
Note that we are dealing with complex valued harmonic functions here. If I E C( 0 J[))), then we know that j is the solution of the Dirichlet problem
19. Harmonic Functions Redux
206
19.1. Harmonic FUnctions on the Disk
with boundary values f (see Theorem 10.2.4). Indeed, this is given another proof in Theorem 1.4.a below. If U : j[)) ---> C and 0 < r < 1, define U r : oj[)) ---> C by ur(w) = u(rw) for w in o]lJJ. We will sometimes want to consider the function U r as defined on j[)) or cl j[)) by the same formula, but no separate notation will be employed. If /L E M and 0 < r < 1, then fir is an element of C (o]lJJ) by the preceding proposition. Thus if 1 :::::; p :::::; 00 and f E LP, ir E LP and so we can define the operator T r : £P ---> LP by Trf = ir; similarly, we can define T r : C ---> C by Trf = ir and Tr/L : M ---> M by Tr/L = fir . m.
The proof of (c) is similar. 0
1.4 Theorem.
(a) If f
--->
Proof. (a) This will only be proved for X = £P. Let f where q is the index that is conjugate to p. Thus (Trf,h)
=
=
1.3
f
E
--->
=
<
=
1-. =
i
f [f f(w) Prdw) dm(W)] h(() dm(().
f(w() Pr(w) dm(W)] h(()dm(()1
f Pr(w) [f If(w()llh(()1 dm(()] dm(w)
Ur(w)
~[f(rw) + f(rw)*] 1 [
<Xl
n
<Xl_]
2" ~ anrnw + ~ anrnw n
,:,..-.,!
since J Pr (w) dm( w) = 1. This shows that IITr II : : :; 1 for all r. It is easy to see that Tr is linear. (b) If f E £P and h E Lq, then use the fact that Pr((w) = Prw (() = Prw (() for Iwl = 1(1 = 1 to obtain
=
--->
i
LP and let h E Lq,
< Ilfll pIlhll q ,
(Trf, h)
as r
As was said before, part (a) of the preceding theorem shows that, for f in C(oj[))), has a continuous extension to cl j[)), thus solving the Dirich let problem with boundary values f. For f in LP(oj[))) we can legitimately consider as the solution of the Dirichlet problem with the non-continuous boundary values f. Indeed, such a perspective is justified by the last the orem. Further justification is furnished in the next section when we show that f can be recaptured as the radial limit of 1. Now suppose that U : j[)) ---> C is a harmonic function. What are necessary and sufficient conditions that u = fi for some measure /L? Before providing an answer to this question, it is helpful to observe the consequences of a few elementary manipulations with the basic properties of a harmonic function. If U is harmonic and real valued, there is an analytic function f : ]lJJ ---> C with u = Re f. Let f(z) = Ln anz n be the power series expansion of f in ]lJJ. So for w in olDl and 0 < r < 1 the series Ln anrnw'" converges absolutely and thus
ir(()h(()dm(()
If [f
irllaD ---> 0
o
Substitute w( for w in this equation and use the following two facts: this change of variables does not change the value of the integral and Pr((w() = Pr(w). This gives
I(Trf,h)1
C(o]lJJ), then Ilf -
Proof. It is easy to check that Trz n = r n zn for all n in Z. Hence for a trigonometric polynomial f, Trf ---> f uniformly on olDl as r ---> 1. Since IITrl1 :::::; 1 for all r, Proposition 18.7.2 implies that (a) and (b) hold. Parts (c) and (d) follow by applying Proposition 18.7.11.b and Proposition 1.2.c.
X is a bounded linear operator with
/lTrll : : :; 1 for all r. (b) If 1 :::::; p < 00 and q is ronjugate to p, the dual of the map Tr : LP LP is the map T r : Lq ---> Lq. (c) The dual of the map Tr : C ---> C is the map Tr : M ---> M.
E
(b) If 1:::::; p < 00 and f E £P(o]lJJ), then Ilf - irllp ---> O. . (c) If /L E M(oj[))) and if /Lr is the element of M(oj[))) defined by /Lr (ft)r' m, then /Lr ---> /L weak: in M(oj[))). (d) Iff E U'°(oj[))), then ir ---> f weak: in L"O(oj[))).
1.2 Proposition. (a) For X = £P, C, or M, Tr : X
207
00
L
Cnrlnlwn,
n=-oo
f [f f(w) Prw (() dm(w)] h(() dm(() f [f h(() Prw (() dm(()] f(w) dm(w)
It
;twi2T'
.ti
(I, Trh).
4\," ._' ,:
where Co = Re aD, Cn = ~an for n positive, and Cn = ~an for n < O. For a complex valued harmonic function u : lDl ---> C, a consideration of its real and imaginary parts shows that for Iwl = 1 and r < 1,
<Xl
1.5
ur(w) =
L n=-oo
>C.':" ~:
; .1;
cnrlnlwn
II
Ii
·1 I
I I 1
'11
.
'I.
I
II
!
for some choice of constants cn . Moreover the series (1.5) converges uni formly and absolutely for w in 0 l!Jl. It follows that (1.5) is the Fourier series of the function u r . The next lemma formally states this and gives the analogous fact for measures.
1.6 Lemma.
(b) If I" E M (0 l!Jl), then the Fourier series of the function {tr is given by
III,
19.1. Harmonic Functions on the Disk
209
(b) This proof is like that of part (a). For 1 < p < 00, the weak Com pactness of bounded sets in V(o]D)) is used instead of weak· compactness. The weak· topology on LOO(o]D)) is used when p = 00. The proofs of (c) and (d) are left as exercises. 0 Part of the proof of this theorem needs to be made explicit.
(a) If u ; l!Jl -+ C is a harmonic function and 0 < r < 1, the Fourier series for U r is given by the formula (1.5).
1
,1111
·'I
19. Harmonic Functions Redux
208
i'
00
L
11'1 I.!
!j
III!
r 1nl ji,( n )w
1.8 Corollary. Suppose u : ID> -+ C is a harmonic function.
(a) IfsuPr Ilur lll < 00, then the measures U r ' m -+ I" weak· in M(ol!Jl), where I" is the measure such that u = {t. (b) If1 < p ~ 00 and sUPr Ilurll p < 00, then U r -+ f weakly in LP (weak. in Loo if p = 00), where f is the function in V( o]D)) with u = j.
n
n=-oo
I
.,
and the convergence is uniform and absolute for w on ol!Jl.
The next theorem is the principal result of this section and characterizes the harmonic functions that can arise as the Poisson transform of a measure or a function from one of the various classes.
II
1. 7 Theorem. Suppose u : l!Jl -+ C is a harmonic function.
(a) There is a I" in M( 0 l!Jl) with u = {t if and only if SUPr !Iu r 111 < (b) If 1 < p ~ 00, there is a function f in V(ol!Jl) with u ifsuPr Ilurll p < 00.
(c) There is a function f in £1 (l!Jl) with u
=
=j
II
if and only
!• ,i
J[I
I
vr(n)
=
J
wndvr
=
limsupj(z) ~ limsupf((). z---+a
!
if and only if {u r } is L
=
j if and only if {u r } is
(-+a
(E8[)
1
I II
Proof. (a) Ifu = il, then Ilurih = IUrl dm ~ Prz(W) dl"(w)! dm(z) ~ Prz(W) dll"l(w) dm(z) = Prz(W) dm(z)]dll"l(w) = 111"11· Now assume that u is a harmonic function on l!Jl and L is a constant such that Ilu r lll ~ L for all r < 1. Put V r = the measure U r . min M(ol!Jl). So {vr } is a uniformly bounded net of measures on 0 l!Jl. By Alaoglu's Theorem there exists a measure I" in M(ol!Jl) that is a weak· cluster point of this net. Hence
II
1.9 Theorem. If fELl and f is continuous at the point a, then the function that is defined to be j on ]D) and f on o]D) is continuous at a. 1.10 Corollary. If fELl and a E oID>, then
00.
convergent.
(d) There is a function f in C(ol!Jl) with u uniformly convergent.
If the proof of Theorem 10.2.4 is examined closely, a "point" theorem results. This next result not only improves (10.2.4) but provides a means of obtaining various estimates for harmonic functions as the subsequent corollary illustrates.
J
urwndm -+cl ji,(n).
But Lemma 1.6 implies that vr(n) = ilAn) = r1n1cn -+ en as r -+ 1. Hence ji,(n) = en. This implies that the weak· cluster point of {vr } is unique. Hencevr -+ I" weak· in M (0 ]D)). An examination of the series in Lemma 1.6 shows that u = {t.
Proof· Let a be the right hand side of this inequality. If a = 00, there is nothing to prove; thus it may be assumed that a < 00. By definition, for every c > 0 there is a 6 > 0 such that for ( in oID> and I( - al < 8, f( () < a + c. Define h on 0 ID> by letting h (() = f( () for Iz - al 2: 6 and h (() = a + c for I( - al < 6. So h ELI and f ~ h; thus ! :S k Using the preceding theorem, limsupj(z) ~ limsup!l(Z) z---+a
= a+c.
Z---+a
Since c was arbitrary, the proof is complete. 0 The final result can be taken as a corollary of Theorem 1. 7. 1.11 Herglotz's Theorem. If u is a harmonic function on]D), then u = for a positive measure I" on 0 l!Jl if and only if u 2: 0 on ]D).
iL
Proof. It is easy to see that since the Poisson kernel is positive, for any positive measure 1", u = {t 2: 0 on l!Jl. Conversely, assume that u(z) 2: 0 for jzl < 1. Then Ilurih = I ur(w) dm(w) = u(O) by the Mean Value Theorem.
210
19.2. Fatou's Theorem
19. Harmonic Functions Redux
By Corollary 1.8, there is a J.L in M(8lIJl) such that u = ji and Ur . m -. J.L weak*. Since Ur ~ 0, it must be that J.L ~ O. 0
Exercises 1. Let p(z, z) be a polynomial in z and z and find a formula for the function u that is harmonic on lIJl, continuous on cl lIJl, and equal to
p(z, z) on aID. 2. If J.L E M(alIJl) has Fourier coefficients {P.(n)}, show that for Izi < 1, ji ( z) = 2:::=0 Po(n) zn + 2:::=1Po( -n) zn. Examine Exercise 1 in light of this. ··'ii
3. Let u be a real-valued harmonic function on lIJl and show that there is a real-valued measure J.L on a lIJl such that u = fl if and only if u is the difference of two positive harmonic functions. 4. Prove the following equivalent formulation of Herglotz's Theorem. If f is an analytic function on lIJl, then f takes its values in the right half plane and satisfies f(O) > 0 if and only if there is a positive measure J.L on a lIJl such that
fez) =
In
alI)
w+z - dJ.L(w). w-z
5. Let C be the set of analytic functions on lIJl such that Re f ~ 0 and f(O) = 1. Show that C is a compact convex subset of H(lIJl) and characterize its extreme points. (Hint: Use Exercise 4.)
~i,
211
just ahead of us. Unfortunately no one has ever been able to parlay this into a proof. It remains only an intuitive argument that makes the result believable. Recall some measure theory, or rather a part of measure theory that is not universally exposed in courses on measure theory. If J.L E M(alIJl), there is a corresponding measure on [0,211"], which will also be denoted by J.L, such that I fdJ.L = I f(eit)dJ.L(t) for every f in C(alIJl). The corresponding measure on [0,211"] is not unique. For example, if J.L = li l in M(alIJl), then either lio or li21f can be chosen as the corresponding measure on [0,211"]. This is, however, essentially the only way in which uniqueness fails. (What does this mean?) For a measure J.L on [0,211"] there is a function of bounded variation u on [0,211"] such that If dJ.L = I f(t) du(t) for every continuous function f, where this second integral is a Lebesgue-Stieltjes integral. It might be worthwhile to recall how this correspondence is established, though no proofs will be given here. The proofs can be found in many of the treat ments of integration theory. If J.L is a positive measure on [0,211"], define a function u : [0,211"] -. IR by letting u(O) = 0 and u(t) = J.L([O, t)) for t > O. The function u is left continuous, increasing, and If dJ.L = I f(t) du(t) for all continuous functions f on [0,211"]. If J.L is an arbitrary complex-valued Borel measure on [0,211"], let J.L = J.Ll - J.L2 +i(J.L3 - J.L4) be the Jordan decomposition and let u = Ul -u2+i(u3 -U4), where Ui is the increasing function corresponding to the positive measure J.Li. This establishes a bijective correspondence between complex-valued measures J.L on [0,211"] and left continuous functions u of bounded variation that are normalized by requiring that u(O) = O. The next proposition gives the basic properties of this correspondence between measures and functions of bounded variation.
2.1 Proposition. Let J.L E M[O, 211"] and let u be the corresponding normal ized junction of bounded variation. §2 Fatou's Theorem
(a) The junction u is continuous at to if and only if J.L( {to}) = O.
We have seen in the preceding section that for a measure J.L in M = M(alIJl), the measure J.L can be recaptured from fl, the solution of the Dirichlet problem with boundary values J.L, by examining the weak* limit of the measures (ji)r . m (1.4). In this section we will look at the radial limit of the function ji(z). For an arbitrary measure we recapture J.L if and only if J.L is absolutely continuous with respect to m. This will essentially prove the results stated in §13.5. There is a standard temptation for all who first see Fatou's Theorem. If fELl, then we know that f in the L l norm. Thus there is a sequence Jr n } that converges to 1 such that f(() a.e. on alIJl, That is,f(r n () - . f(() a.e. This is sufficiently close to the existence of radial limits a.e. on lIJl that it seems that a proof of their existence is
(b) The measure J.L is absolutely continuous with respect to Lebesgue mea
ir -.
a
irn(() -.
sure if and only if u is an absolutely continuous junction, in which case If dJ.L = I f(t) u'(t) dt for every continuous junction f.
(c) If E = {t : u'(t) exists and is not O}, then E is measumble, J.LIE is ab solutely continuous with respect to Lebesgue measure, and J.LI ([0,211"] \ E) is singular with respect to Lebesgue measure.
In §13.5 the concept of non-tangential limit was introduced; namely for Wo in a lIJl, z -. Wo (n.t.) if z approaches Wo through a Stolz angle with vertex Wo and opening a, 0 < a < 11"/2. 2.2 Lemma. Given a Stolz angle with vertex Wo
= ei()o and opening a,
II
212
19.2. Fatou's Theorem
19. Harmonic Functions Redux
~I
1'1
213
" -~~:
..
!II
;
11
II
~'tt,
I II i 1,1
o
!I!
Figure 19.1.
Figure 19.2.
satisfying
there is a constant C and a 8 > 0 such that if z = re iO belongs to the Stolz angle and Iz - wol < 8, then 10 - 00 1~ C(1 - r). It suffices to assume that 00 = 0 so that Wo = 1. If L is the straight line that forms an edge of the Stolz angle, then a reference to Figure 19.1 will show that for z = re iO on L, sin(a + 0) = si~{};. Hence as 0 -; 0+
o -
101 ~ C(I- r).
2.5
Proof.
l-r _
Ilf-"
1 [sin(a+O)-Sina]-; sin(a + 0) 0 cot a.
Let r be the set of z = re iO satisfying (2.5). Recall that if the Poisson kernel is considered as a function of 0 with r fixed, then Pr(O) = (1 - r 2 )/(1 - 2rcosO + r 2 ) and so differentiation with respect to 0 gives that 2
P'(O)= 2r(l-r )sinO 2' r (1- 2rcosO + r2)
Thus l~r -; tan a as 0 -; 0+. Since the tangent function is increasing, the lemma now follows. 0
Fix
E
lu(t)1 2.3 Fatou's Theorem. Let p, E M[0,27l'] and let u be the corresponding function of bounded variation; extend u to be defined on IR by making u periodic with period 27l'. If u is differentiable at 00 , then jL( z) -; 27f U' (0 0 ) as z -; eiOo (n.t.). (Note: We are identifying M(8]]J)) and M[O, 27l']. Also the only reason for extending u to be defined on IR is to facilitate the discussion at 0 and 27f.)
Proof. It suffices to only consider the case where 00 = 0, so we are as suming that u'(O) exists. We may also assume that u'(O) = O. In fact, if u' (0) ¥- 0, let v = p, - 27l' u' (O)m. The function of bounded variation cor responding to v is v(O) = u(O) - u'(O)O, since m is normalized Lebesgue measure. So v'(O) exists and v'(O) = O. If we know that ii(z) -; 0 as z -; 1 (n.t.), then jL(z) = ii(z) + u'(O) -; u'(O) as z -; 1 (n.t.). So assume that u'(O) = O. We want to show that
71" 1- r2 --,-------,------------,---;:-:-------::c dp, (t) -; 0 1-71" 1- 2rcos(t - 0) + r 2
2.4
re iO -;
as z = 1 (n.t.). Using the preceding lemma, it suffices to show that (2.4) holds if, for some fixed positive constant C, 0 -; 0 and r -; 1 while
1
> O. Since u'(O) exists and equals 0, there is a 8 > 0 such that Eltl for It I < 8. Thus if z = re iO E r,.
~
jL(z) = _:'wl·
171" Pr(t -71"
0) dp,(t) =
6
[1 + -6
1 ]
Pr(t - 0) dp,(t).
71"~ltl~6
Examining Figure 19.2 we see that if 0 < 81 < 8, there is a neighborhood U1 of 1 such that if z Ern Ul and ItI 2:: 8, then It - 01 2:: 81 • Thus Proposition 1O.2.3.d implies 81 and U1 can be chosen so that Pr(t - 0) < E for It I 2:: 8 and z Ern U1 . Therefore
2.6
Ifi(z)1 <: e11M11 +
Using integration by parts, for z
I[>.(t- I 0) dM(t)
<:
1[:
P,(t - 0) dM(+
= re iO in r nUl,
lu(t) P,(t -
0)1', +
II:
u(t) P;(t - 0) dt
lu(8)Pr (8 - 0) - u(-8)Pr (-8 -
+ 1[66 u(t) P;(t -
0) dt
0)1
~ __
_===
=
¥___
&2
,..
g
_:=;:: ...- __
~-'-=-__
19. Harmonic Functions Redux
214
< 2&:2 +
li
6 6u(t) P;(t -
(J)
~
~
19.2. Fatou's Theorem
215
r
6- O
dtl.
210 J0
< 210
From (2.6) we infer that
2.7
lii(z)1 ::; Ellftll
+ 2&:2 + 1[66 u(t) P;(t -
1 + 1:)
P; (t )) t dt
< < 4JrE,
P:(t - (J)u(t) dt
f
Now since lu(t)1 ::; Eltl for It I ::; 8,
o
P:(t - (J) u(t) dt =
Ir
Jo
2Er(1 - r 2) r 28 (1- r)4 (J J tdt
o
Proof. ~t'
WI::; 8EC3 • Now for the term Z in (2.8). If 2(J ::; t ::; 8, then 0 ::; t - 2(J = 2(t - (J) - t and so t::; 2(t - (J). Hence lu(t)1 ::; 2c(t - (J). Thus
(-P:(t)) (t - (J) dt.
F\mctions of bounded variation have finite derivatives a.e. D
The reader might wonder if it could be concluded that ii can have a limit at points of the circle. In other words, is it really necessary to impose the restriction in the preceding corollary and its ancestors that the limits be non-tangential? The answer is emphatically no; only the non-tangential limits are guaranteed. This is sketched in Exercise 1.
2.10 Corollary. If u is a non-negative harmonic function on limr--.l- u(re i8 ) exists and is finite a.e. on [0,2Jr].
Proof. P;(t - (J) u(t) dtl
j[)),
then
According to Herglotz's Theorem, u = ii for some positive measure.
D
< 210 rli(_p:(t_(J))(t_(J)dt J28
Jor
2.9 Corollary. If ft E M(oj[))), then ii has non-tangential limits a.e. [m] on oj[)).
Er(l + r) (J(4(J2) (1 - r)3 8E(J3 (1 - r)3'
11:
t) dt.
Using the preceding methods we obtain the fact that for some constant M, IXI ::; ME. Referring to (2.7) and (2.8), we get that there is a constant C' that is independent of 10 such that for all z in r and in a sufficiently small neighborhood U1 of 1, lji(z)1 ::; C'E. D
n
By (2.5) we get
IZI =
10+6 P:(t) u((J -
H6
IXI ::; 10
But (1-2rcos(t-(J)+r 2) ~ 1-2r+r 2 = (1-r)2 and Isin(t-(J)I ::; It-(J\ ::; (J for 0 ::; t ::; 2(J. Hence
<
+ 2EJr
Now for (J ::; t ::; (J + 8, 0 ::; t - (J ::; 8 and so
1
WI <
Pr(t) dt
8
20
2 2r(1 - r ) sin(t - (J)u(t) dtl (1-2rcos(t-(J)+r 2)2 20 Isin(t - (J)IEt dt. < 2r (1 _ r 2) 2 o (1 - 2rcos(t - (J) + r )
=
1"
provided U1 is chosen sufficiently small. (That is, we force r to be very close to 1.) For the term X in (2.8), observe that
-6
WI
+ 210
2
X+Y+Z.
2.8
1"(-
1 r ) 2E7r ( (1 + r)2
20
([: +
(- P: (t )) t dt
2E( -tPr(tDlo
(J) dt
Now fix z and .assume that (J ~ O. The case where (J ::; 0 is treated similarly and will be left to the reader. Also assume that U 1 is sufficiently small that (J < 8/2 for z = red) in U1 . Hence
[lili u(t) P:(t - (J) dt
__~
'!'."~~
1
.1•
2.11 Corollary. If IJ. is a measure on oj[)) that is singular with respect to Lebesgue measure, then the non-tangential limits of ii are 0 a.e. on a][)).
................_~,
............
~
_
-~-
-~
216
_
-,
~~
.
D.i
~~Amla~
19. Harmonic Functions Redux
~ ~
~ ~ ~ ~ ... ~ " ' ~ =
~_~
__
m
m_C_-.......~
-~r-R-~~~~~~~~WG~
",
19.3. Semicontinuous Functions
I' ,
217
I '
:11
Ii
Ir' I'll
III! ' I, I II; :,111"
,Ii
II
I,
r-+1
exists and is finite a.e. [m] on oJI)l. If 1 < p ::; 00, then f E L"(m) and u = If p = 1, then u = /.L for some measure /-L in M[O, 211"] and f is the Radon-Nikodym derivative of the absolutely continuous part of /-L.
"il 11
1:11
1
2. Give an example of an analytic function on JI)l that fails to have a non-tangential limit at almost every point of aJ!)).
1.
3. Suppose fELl and f is real-valued. Show that if a E lim z -+ a f(z) = +00, then limr -+1 j(ra) = +00.
Proof. This proof is actually a collage of several preceding results. First assume that 1 < p ::; 00. By Theorem 1.7 there is a function 9 in L" such that u = g. By Fatou's Theorem, 9 = f a.e. [m]. Now suppose p = 1. Again Theorem 3.8 implies that u = /.L for some /-L in M[O, 211"]. Let /-L = /-La + /-Ls be the Lebesgue decomposition of /-L with respect to m. Let 9 be the Radon Nikodym derivative of /-La with respect to m. Thus if w is the function of bounded variation on [0,211"] corresponding to /-L, then Wi = 9 a.e. It follows by Fatou's Theorem that 9 = f a.e. 0
§3
2.13 Example. If /-L = 81 , the unit point mass at 1 on oJI)l, /J,(z)
=f
Pzd/-L
=
PAl) = Re (~). Here the conclusion of Fatou's Theorem can be directly verified.
Exercises
II ill'i I
II' :
!~ :
Semicontinuous Functions
Note that the constantly -00 and +00 functions are upper and lower semicontinuous, respectively. This is not standard in the literature. Also a function u is upper semicontinuous if and only if -u is lower semicontinu ous. In the sequel, results will be stated and proved for upper semicontinu ous functions. The correct statements and proofs for lower semicontinuous functions are left to the reader. Throughout the section (X, d) will be a metric space. The reason for using the words "upper" and "lower" here comes from considerations on the real line. If X = lR and u is a continuous function except for jump discontinuities, u will be upper semicontinuous if and only if at each discontinuity xo, u(xo) is the upper value.
a
II
and
3.1 Definition. If X is a metric space and u: X -+ [-00,+00), then u is upper semicontinuous (usc) if, for every c in [-00, +00), the set {x EX: u(x) < c} is an open subset of X. Similarly, u : X -+ (-00, +00] is lower semicontinuous (lsc) if, for every c in (-00, +00], the set {x EX: u(x) > c} is open.
I"'
1. Let fELl and put g(z) = j(z) for Izi < 1 and g(e ilJ ) = limr -+1_ j(re ilJ )
when this limit exists; so 9 and f agree a.e. on oJI)l. Let E be the set
of points on aD where 9 is defined. (a) Show that if j(z) -+ g(e ilJ )
as z -+ eilJ with z in JI)l (tangential approach allowed), then g, as a function defined on JI)l U E, is continuous at eilJ • Let E c be the set of points in J!)) where 9 is continuous. (b) Show that E c has measure zero if and only if f is not equivalent to any function whose points of continuity have positive measure. (Two functions are equivalent if they agree on a set of full measure and thus define the same element of L 1 .) The rest of this exercise produces a function f in L 1 that is not equivalent to any function whose points of continuity have positive measure. (Note that the characteristic function of the irrational num bers is equivalent to the constantly 1 function.) Once this is done, the
a JI)l
In this section we will prove some basic facts about semicontinuous func tions (lower and upper). Most readers will have learned at least some of this material, but we will see here a rather complete development as it seems to be a topic that most modern topology books judge too specialized for inclusion and most analysis books take for granted as known by the reader. We will, of course, assume that the reader has mathematical maturity and omit many details from the proofs.
Note that the preceding theorem contains Theorem 13.5.2 as a special case.
II :
°
I'
I: III
!
I=monic fnnction will fail to have a limit a.e. on 8 H) even though it has a non-tangential limit a.e. (c) Let K be a Cantor subset of oJI)l with positive measure and show that the set of points of continuity of XK is aD \ K. (d) Construct a sequence {Kn } of Cantor sets lh oJI)l that are pairwise disjoiI~.t and such that a JI)l \ UnKn has zero measure. Show that UnKn contains no interval. (e) Define f on oJI)l by letting f(z) = 1/2n for z in K n and f(z) = for z in aD \ UnKn . Show that if 9 is any function equivalent to f, then the set of points of .. fh contmUlty 0 9 as measure zero.
Why doesn't this contradict the Maximum Principle for harmonic f u n c - 'I '{ tions? The next result is also a corollary of Fatou's Theorem but it is sufficiently II important to merit a more proclamatory label. . ., 2.12 Theorem. If 1::; p ::; 00 and u: J!))-+ C zs a harmomc functwn such I that sUPr
~~.;;.
A,
j
, l
,
~'
3.2 Proposition. If X is a metric space and u : X
-+
[-00,00), then the
218
19. Harmonic Functions Rerlux
following statements are equivalent. (a) U is usc.
19.3. Semicontinuous Functions
Proof. If U is constantly equal to -00, then the result is trivial. So assume that this is not the case. If d is the metric on X, define f n : X ----* JR by fn(x) = sup{u(y) - nd(x, y) : y EX}.
(b) For every c in [-00,00) the set {x EX: u(x) 2 c} is closed.
(c) If Xo E X and u(xo) > -00, then for every c > 0 there is a 6 > 0 such thatu(x) < u(xo)+c wheneverd(x,xo) < 6; ifu(xo) = -00 and M < 0, then there is a 6 > 0 such that u(x) < M for d(x, xo) < 6. (d) Ifxo E X, then u(xo) 2limsupx--+xo u(x). 3.3 Proposition. If K is a compact subset of X, U is an usc function on X, and u(x) < 00 for all x in K, then there is an Xo in K such that u(xo) 2 u(x) for all x in K.
Proof. First let Un = {x EX; u(x) < n}. Then K <:;:; UnUn and each Un is open. By the compactness of K, there is an n such that K <:;:; Un' Thus a == sup{u(x) ; x E K} < 00. Now put K n = {x E K: u(x) 2 a - n- l }. Each K n is a compact and non-empty subset of K and K n + l <:;:; K n . So there is an Xo that belongs to each K n and it must be that u(xo) 2 u(x) for all x in K. 0 3.4 Proposition.
219
For any x and y in X, fn(x) 2 u(y) - nd(x, y) 2 u(y) - (n + l)d(x, y); so fn(x) 2 fn+l(X) 2 u(x) for all x in X. Also fn ~ M for all n. Let c be a positive number, let x E X, and fix n 2 1. By definition, there is a y in X such that fn(x) < u(y) - nd(x, y) + c. If d(z, x) < c, then d(z, y) < d(x, y) + c. Thus fn(z) 2 u(y) - nd(z, y) > u(y) - nd(x, y) - nc > fn(x) - (n + l)c whenever d(z,x) < c. That is, fn(z) > fn(x) - (n + l)c whenever d(z, x) < c. Now interchange the roles of x and z in the preceding argument to get that fn(x) > fn(z) - (n+ l)c when d(x,z) < c. Therefore Ifn(x) - fn(z)1 < (n + l)c when d(x, z) < c. That is, fn is uniformly continuous. It remains to show that fn(x) ----* u(x) for all x in X. So fix Xo in X and let c be a positive number. Assume that u(xo) > -00. (The case in which u(xo) = -00 is left as an exercise.) Since U is usc, there is a 6> 0 such that u(y) < u(xo)+c for d(y, xo) < 6. Thus u(y)-nd(y, xo) < u(xo)+c whenever d(y, xo) < 6. Now suppose that d(y, xo) 2 6; here u(y) - nd(y, xo) ~ u(y) - n6 ~ M - n6. Choose no such that M - n6 < u(xo) + c for n 2 no· Thus for n 2 no and for all y in X, u(y) -nd(y, xo) ~ u(xo) +c. Therefore u(xo) ~ fn(xo) ~ u(xo) + c for n 2 no. 0
(a) Iful and U2 are usc functions, then Ul +U2 andul VU2 == max{ul' U2} are usc functions. (b) If {Ui} is a collection of usc functions, then AUi == inf i Ui is usc.
Proof. (a) Let U = Ul +U2, fix c in [-00,00), and let U = {x ; u(x) < c}. If Xo E U, then Ul(XO) < c and U2(XO) < C-Ul(XO). Hence Ul = {x; Ul(X) < c} and U2 = {x : U2(X) < c - Ul(XO)} are both open neighborhoods of Xo and Ul n U2 <:;:; U. Since Xo was arbitrary, U must be open. Now if U = Ul VU2 and c E [-00,00), then {x; u(x) < c} = {x; Ul(X) < c} n {x : U2(X) < c}, and so U is usc. (b) If U = AUi and c E [-00,00), then {x ; u(x) < c} = U{x : Ui(X) < c}.
o 3.5 Corollary. If {Un} is a sequence of usc functions on X such that for every x, {Un (x)} is decreasing, then u(x) == lim Un (x) is usc. A sequence of functions satisfying the hypothesis of this corollary is called a decreasing sequence of functions. 3.6 Theorem. Ifu; X ----* [-00,00) is usc and u ~ M < +00 on X, then there is a decreasing sequence of uniformly continuous functions {fn} on X such that fn ~ M and for every x in X, fn(x) ! u(x).
Exercises 1. Give an example of a family U of usc functions such that sup U is
not usc. 2. If U is a monotone function on an interval (a, b) in JR, show that U is usc if and only if for each discontinuity x of u, u(x) = limt--+x+ u(t).
3. Show that the uniform limit of a sequence of usc functions is usc. 4. If X is a metric space, E is a subset of X, and u is the characteristic function of the set E, show that u is upper semicontinuous if and only if E is closed. 5. Let X be a metric space. Show that u is an upper semicontinuous function on X if and only if A = {(x, t) E X x lR : t ~ u(x)} is a closed subset of X x R 6. Suppose A is any closed subset of X x JR such that for each x in X the set Ax == {t E JR : (x, t) E A} is either empty or bounded above. Define u : X ----* [-00,00) by u(x) = -00 if Ax = 0 and u( x) = sup Ax otherwise, and show that u is upper semicontinuous. Show that A = {(x, t) E X x JR : t ~ u(x)}.
19. Harmonic Functions Redux
220
7. Let f : X ---. [-00,00) be any function and let r = {(x, f(x)) : x E X and f(x) > -(X)} <::;: X xR If A = cl r, show that ifu(x) is defined as in the preceding exercise, then u( x) = lim SUPy-->x f (y) for all x in X.
I
I
8. Suppose G is an open subset of a metric space X and f : G ---. [-00,00) is any function such that for each ( in aG, u(() == lim sup{f(x) : x E G and x ---. (} < 00. Show that u is upper semicontinuous.
I
1
I I 1
1,1
II I I
Subharmonic and superharmonic functions were already defined in 10.3.1,
but it was assumed there that these functions were continuous. This was
done to avoid assuming that the reader's background included anything
other than basic analysis. In particular, it was assumed that the reader
did not know the Lebesgue integral and thus could not discuss the integral
of a semicontinuous function. It is desirable to go beyond this and extend
the definition to semicontinuous functions. Propositions for semicontinu
ous subharmonic functions that were stated for the continuous version in Chapter 10 will sometimes be restated here. If the proof given in Chapter 10 extends naturally to the present situation, it will not be repeated and the reader will be referred to the appropriate result from the first volume of this work.
"II
Ii
I
11
I II
I
4.3 Example. If f : G ---. C is an analytic function, then log If I is a subharmonic function on G. In fact this is an immediate consequence of Jensen's Formula (11.1.2).
4.4 Definition. Say that a function u : G ---. [-00,00) satisfies the Maxi mum Principle if, for every compact set K contained in G and every h in Ch(K), h on K whenever h on aK.
us
us
4.5 Theorem. If u : G ---. [-00,00) is an upper semicontinuous junction, then the following statements are equivalent.
(a) u is subharmonic. (b) u satisfies the Maximum Principle.
(c) If D is a closed disk contained in G and h aD, then u S h on D. (d) If D = B(a; r) <::;: G, then
4.1 Definition. If G is an open subset of C, a function u : G ---. [-00,00) is subharmonic if u is upper semicontinuous and, for every closed disk B(a; r) contained in G, we have the inequality
:1'
II
some components and finite valued on others. This is also usually excluded as a possibility in the definition of a subharmonic function. Results will usually be stated and proved only for subharmonic functions. The statements and proofs for superharmonic functions will be left to the reader.
For a compact subset K of C, let Ch(K) denote the continuous functions on K that are harmonic on int K.
§4 Subharmonic Functions
!
4.2
u(a)
s -271"1
221
19.4. Subharmonic Functions
1 2
11"
u(a + re i o)d8.
0
A function u : G ---. JR U {+oo} is superharmonic if -u is subharmonic. Some remarks are in order here. Since u is upper semicontinuous, the
fact that u(a+re iO ) < 00 for all 8 implies u is uniformly bounded above on
this circle. Thus it is not being assumed that the integral in the definition
is finite, but the integral is defined with the possibility that it is -00.
In fact it may be that the function is constantly equal to -00 on some
or all of the components of G. We will see below (Proposition 4.11) that
this is the only way that a subharmonic function can fail to be integrable
on such circles. There is a slight difference between this definition of a
subharmonic function and that given by many authors in that the function
that is identically equal to -00 is allowed to be subharmonic. In fact, since
G is not assumed to be connected, u may be constantly equal to -00 on
u(a) S
~ 7I"r
E
Ch(D) with u
sh
on
J(D udA.
Proof. (a) implies (b). (This part of the proof is like the proof of Theorem 10.3.3.) Let K be a compact subset of G and assume that h E Ch(K) with u S h on K. By replacing u with u - h, it is seen that it must be shown that u sOon K whenever u is subharmonic and satisfies u S 0 on K. Suppose there is a point Zo in int K such that u( zo) > 0 and let 0 < c < u(zo). Put A = {z E K : u(z) 2 c}. Because u is usc, A is compact. Also, if bEaK, 02 u(b). By standard compactness arguments, this implies there is a neighborhood V of K with V <::;: G and u(z) < c for all z in V. Hence, A <::;: intK. Again the fact that u is usc implies that there is a point a in A with u(a) ~ u(z) for all z in A. It follows that u(a) 2 u(z) for all z in K. Let H be the component of intK that contains a and put B = {z E H: u(z) = u(a)}. Clearly B is a _ relatively closed non-empty subset of H. If wEB, let _ 211" B(w; r) <::;: G. So B(w; r) <::;: H and, for 0 < p < r, 271"u(w) S Jo u(w + pe iO )d8 S 271"u(w) since u(w + pe iO ) S u(a) = u(w) for all 8. That is, the integral of the non-negative function u(a) - u(w + pe iO ) is 0 and so
a
a
a
222
19. Harmonic Functions Redux
B(w, r)
<::::;
bE aH
<::::;
B. Thus B is open and so B = H. But this implies that if aK, then 0 ~ u(b) ~ limsup{u(z): z E H,z ~ b} = u(a) > 0,
a contradiction. (b) implies (c). Clear. (c) implies (d). Suppose B(a; r) s;:; G and let {fn} be a sequence of continuous functions on aB(a;r) such that fn(z) 1 u(z) (Theorem 3.6). Let D = B(a;r) and let h n E Ch(D) such that h n = fn on aD. By (c), u::::; hn on D. By Exercise 10.1.6, u(a)
::::;
hn(a)
~ (
fndA.
1rT JD
J
J
But D fndA ~ udA by monotone convergence. (d) implies (b). This is like the proof that (a) implies (b) and is left to the reader. (b) implies (a). This is like the proof that (c) implies (d) and is left to the reader. 0 An examination of the appropriate results in Chapter 10 shows that the newly defined versions of subharmonic and superharmonic functions also satisfy the various versions of the Maximum Principle given there. These will not be stated explicitly.
4.6 Proposition. (a) If Ul and U2 are subharmonic functions on G, then Ul + U2 and u 1 V U2 are subharmonic.
223
19.4. Subharmonic Functions
(b) First note that u(z) < 00 for all z in G because U is locally bounded above. It follows from Exercise 3.8 that u is upper semicontinuous. To show that u is subharmonic, we will show that U satisfies the Maximum Principle. So let K be a compact subset of G and let hE Ch(K) such that u ::::; h on a K. Fix u' in U; now u ~ v ~ u' on G. Hence h ~ u' on a K and so h ~ u' on K since u' is subharmonic. Since u' was arbitrary, h ~ v on K, whence ,we have that h 2 u. By Theorem 4.5, u is subharmonic. If v is upper semicontinuous, then the same proof shows that v is sub harmonic. The fact that v = u is a consequence of Proposition 4.8 below, which is worth separating out. (c) By Proposition 3.4, u = inf U is usc and clearly u( z) < 00 for all z. Suppose D = B(a; r) s;:; G. By Theorem 3.6 there is a sequence of continuous functions {fn} on aD such that fn(z) 1 u(z) for z in aD. It may be assumed that u(z) < fn(z) for all n and all z in aD. Fix n for the moment. So for every Zl in aD there is a Ul in U such that Ul (zd < fn(zd· But {z: Ul(Z) - fn(z) < O} is an open neighborhood of Zl' A compactness argument shows that there are functions u 1, ... , Urn in U such that for every z in aD there is a Uk, 1 ::::; k ::::; m, with Uk(Z) < fn(z). By hypothesis, there is one function v in U with v(z) < fn(z) for all z on aD. Thus 2 21ru(a)::::; 21rv(a)::::; J0 71" v(a+re i6 )dO::::; J~7I" fn(a + re i6 ) dO. By monotone convergence of the integrals, it follows that u is subharmonic. (d) This proof is like the proof of part (b). (e) This is immediate from part (c). 0 4.7 Example. If f : G ~ C is an analytic function, then log+ subharmonic function on G. In fact, log+ If I = 0 V log IfI·
If I is
a
Following are two results that will prove useful as we progress.
(b) Let U be a family of subharmonic functions on G that is locally bounded above and let v == supU. If u(z) == limsupw-+z v(w), then u is subharmonic. If v is upper semicontinuous, then v = u.
4.8 Proposition. If G is any open set and u is a subharmonic function on G, then for any a in G, u(a) = limsuPz-+a u(z).
(c) If U is a family of subharmonic functions such that for all uland U2 in U there is a U3 in U with U3 ::::; Ul/\ U2, then inf U is subharmonic.
Since u is usc, u(a) ~ limsuPz-+a u(z). On the other hand, if r such that B r = B(a; r) s;:; G, Proof.
In particular, if {un} is a sequence of subharmonic functions such that Un ~ Un+l for all n, then lim Un is subharmonic.
(d) If {un} is a sequence of positive subharmonic functions such that u = Ln Un is upper semicontinuous, then on each component of G either u is subharmonic or u == 00.
(e) If {un} is a sequence of negative subharmonic functions, then u Ln Un is subharmonic.
=
(a) It is clear that Ul +U2 is a subharmonic function. Since Ul VU2 is upper semicontinuous, the proof that this function is subharmonic is given in the proof of part (b). Proof·
u(a)
::::;
~
1r r
(
>0
u(z) dA(z)
JB r
< sup{u(z):
z E Br,z
¥- a}.
By definition this says that u(a) ::::; limsuPz-+a u(z). 0
4.9 Proposition. If u is a subharmonic function on G and B(a; r) s;:; G, then (21r)-1 J 027l" u(a + pe iO ) dO 1 u(a) as p 1 O. Similarly, (1rp2)-1 JB(a;p) U
dAl u(a) as p 10. Let I p = (21r)-1 J027l" u(a + pe iO ) dO. If a < p < T, let Un} be a sequence of continuous functions on B( a; p) such that f n 1 u. Let h n E Proof.
a
__
__
. _
_
=e
",!,,!",1i-
224
iFF""'
19. Harmonic Functions Redux
Ch(B(a; p)) such that hn = In on so, by monotone convergence, 1(7
~
1
27l"
aB(a; p). Thus u ~ h", on B(a; p) and
Jor
27l"
1
Jo
ilJ
h",(a + ae ) d()
ilJ hn(a + pe ) d()
4.12 Definition. If -00:::; a is convex if:
Ip
I:
0
4.10 Lemma. If G is connected, u is a subharmonic junction on G, and {z E G: u(z) = -oo} has non-empty interior, then u(z) == -00.
Proof. Let B = {z: u(z) = -oo} and let A = intE. So, by hypothesis, A is a non-empty open subset of G. It will be shown that A is also relatively closed in G and hence A = G. Let a E Gn cl A and let r be a positive number such that B(a; r) ~ G. If b is any element of B(a; r/4), then B(b; r/2) ~ G and, because a E B(b; r/2), B(b; r) n A =1= 0. Thus there is a p, 0 < p < r /2, such that 8B(b; p) n A =1= 0. 7r Since u is subharmonic, u(b) :::; 2~ u(b + pe ilJ ) d(). But the fact that 8B(biP) meets the open set A implies that b + peilJ E A for some interval f27r "IJ of ()'s. Therefore Jo u(b + pe' ) d() = -00 and so u(b) = -00 whenever ja - bl < r/4. That is, B(a;r/4) ~ B and so a E intB = A. 0
I:
4.11 Proposition. If G is connected and u is a subharmonic junction on G that is not identically -00, then:
(a) u E L~)G);
I:
I;
Recall the definition of a convex function (6.3.1). We extend the definition
After the next lemma, it will be shown that a subharmonic function on a region G belongs to L~c(G) and () ----- u(a+re ilJ ) is integrable if B(a; r) ~ G.
(b)
27r
(b) Suppose that D = B(a; r) ~ G and put I p = 2~ I0 u(a+pei(J) dB. By Proposition 4.9, I p is decreasing as p decreases. So if there is an a < r such that I a = -00, then I p = -00 for all p :::; a. Hence udA = Ippdp = -00, contradicting part (a). 0
a little.
as n ----- 00. Therefore I p decreases as p decreases. But u(a) ::; I p for all p 7r and so, by Fatou's Lemma, u(a) ::; limp-+o I p ::; 2~ lim sUPp-+o u(a +
pe ilJ ) d() ::; u(a).
225
19.4. Subharmonic FUnctions
ID
7r
hn(a) 1 f27r
~!~ ~~~~"~~iilIii;J~-':.~~~~~J~_~~!2~~~~-=jj~~~~~T~~~?""!§'l!~~~_
u(a + reilJ)d() > -00 whenever B(a;r) ~ G. That is, () _____ u(a + re ilJ ) is integrable with respect to Lebesgue measure on [0,27l"] whenever B(a;r) ~ G. 7r
Proof. Let A = {z E G: u(z) = -oo}. By Lemma 4.10, int A = 0. (a) Let K be a compact subset of G. Since u is usc, and consequently bounded above on K, to show that u E L 1 (K, A) it suffices to show that I u dA > -00. But since int A = 0, there is a finite number of disks B(ak;r) with B(akir) ~ G, u(ak) > -00, and K ~ UkB(ak;r). Thus 2 -00 < n u(ak) ~ IB(ak;r) u dA. Hence IK u dA > -00.
< b:::;
+00, a function ¢: [a,b] ----- [-00,00)
(a) ¢ is continuous on [a, b];
(b) ¢(x) E lR if x E (a,b); (c) ¢(o:x + (1 - o:)y) :::; o:¢( x) + (1 - 0:) ¢(y) for x, y in ( a, b) and 0 :::; 0: :::; 1. It is not hard to show that a twice differentiable ¢ function is convex if and only if ¢" ~ O. In particular the exponential function is convex while the logarithm is not.
4.13 Proposition. (Jensen's Inequality) If (X, n, J.L) is a probability mea sure space, f E L 1 (J.L), -00:::; a < f(x) < b:::; 00 a.e. [J.L]' and ¢ : [a, b] ---- [-00, 00) is a convex junction, then ¢U f dJ.L) :::; I ¢ 0 f dJ.L.
Proof. It may be assumed that f is not constant. Thus a < I = I f dJ.L < b. Put S = sup{[¢(1) - ¢(t)]j[I - t] : a < t < I}. By Exercise 4, S < 00. So for a < t < I, 4.14
¢(I) + S(t - 1) :::; ¢(t).
If 1< t < b, then Exercise 4 implies that S :::; [¢(t) - ¢(I)]j[t - I]; equiva lently, (4.14) holds for I < t < b and hence for all t in (a, b). In particular, letting t = f(x) implies that 0 ::; ¢(f(x» - ¢(I) - S(f(x) - 1) a.e. [J.L]. Since J.L is a probability measure, 0 :::; I ¢ 0 f dJ.L - ¢(I) - S [J f dJ.L - I] = I ¢ 0 fdJ.L - ¢(I). 0 The reader should be warned that in the literature there is more than one inequality that is called "Jensen's Inequality."
4.15 Theorem. If u is a subharmonic junction on G with -00 :::; a :::; u(z) ~ b :::; 00 for all z in G and ¢ : [a,b] ----- [-00,00) is an increasing convex function, then ¢ 0 u is subharmonic.
.Proof. It is immediate that ¢ 0 u is upper semicontinuous. On the other hand, if B(a; r) ~ G, then Proposition 4.13 and the fact that ¢ is increasing imply that 1 f27r ¢(u(a»:::; 27l" Jo (¢ou)(a+reilJ)d().
=
19. Harmonic FUnctions Redux
226
Hence ¢
0
u is subharmonic. 0
(d) for each z in G, ue(z) 1 u(z) as
4.16 Example. If f : G ----; I(; is an analytic function, then IfI P is a subharmonic function on G for 0 < P < 00. From Example 4.3 we know that log Ifl is subharmonic. If ¢( t) = ept , then ¢ is increasing and convex. By the preceding proposition, If(z)lP = ¢(1og If(z)/) is subharmonic. 4.17 Proposition. Let H be an open subset of the open set G and let u be a subharmonic function on G. If v is an usc function on G that is subharmonic on H.and satisfies v 2: u on H and v = u on G \ H, then v is subharmonic on G. Proof. If bE aHnG and B(b;p) ~ G, then J~7r v(b+pe )dO 2: J~7r u(b+ pe iO ) dO 2: 211" u( b) = 211" v( b). The details of the rest of the proof are left to the reader. 0 iO
Recall that for a function u defined on the boundary of a disk B, u denotes the solution of the Dirichlet problem on B with boundary values u (§1). The next corollary is an extension of Corollary 10.3.7 to the present definition of a subharmonic function.
4.18 Corollary. Let u be a subharmonic function on G and B(a;r) ~ G. If v : G ----; R. is defined by letting v = u on G \ B(a; r) and v = u on B (a; r), then v is subharmonic. Proof. Let B = B(a; r). First note that Proposition 4.11 implies that u is integrable on aB and so u is well defined on B. To apply the preceding proposition it must be shown that v is upper semicontinuous and v 2: u. To show that v 2: u, first use Theorem 3.6 to get a decreasing sequence of continuous functions {¢n} on aB that converges to ulaB pointwise. Thus ¢n 2: u on B by the Maximum Principle. But ¢n(z) ----; u(z) for each z in B by the Monotone Convergence Theorem for integrals. Hence u 2: u on B. Also for z in cl B, v(z) = limn ¢n(z). Since ¢n is continuous on cl B, v is usc on cl B (3.5). It follows that v is usc on G and thus is subharmonic.
o With the notation of the preceding corollary, the subharmonic function v is called the harmonic modification ofu on B(a;r). In the next result we will use the fact that the mollifier {¢t:} has the property that ¢t:(z) = ¢t:(lzl).
4.19 Proposition. Let u be a subharmonic junction on the open set G and for a mollifier {¢e} let Ut: = U * ¢e' Then: (a) Ut: is a Coo junction on
1(;;
(b) if K is a compact subset ofG, then
227
19.4. Subharmonic FUnctions
JK lu -
ueldA ----; 0i
(c) Ue is subharmonic on {z E G: d(z,aG) > S}i
S
10.
Proof. Parts (a) and (b) follow from Proposition 3.6. (c) If z E Gt: = {w E G: d(w,aG) > s}, then a change of variables in the definition of U e gives that ue(z) =
.4.20
L
u(z - sw) ¢(w) dA(w) .
So if B(a; r) ~ G e ,
ior
27r
ue(a + re
iO )
127r L + L 127r L u(a
dO
¢(w)
> 211"
=
re iO
-
sw) ¢(w) dA(w) dO
u(a + re
iO
-
sw) dO dA(w)
¢(w) u(a - sw) dA(w)
211"ue (a).
Therefore U e is subharmonic on G e • (d) Let s < 8; we will show that Ut: ~ U6 on G 6 and ue(z) ----; u(z) for all z in G. So fix 8 and fix a point z in G 6 . Using (4.20) and Proposition 4.9, we have that for r < s
ue(z)
=
L
u(z - sw) ¢(w) dA(w)
1 {127r 1 {l27r 1
u(z - sre
r¢(r)
u(z-8re )dO}dr
1
<
iO
r ¢(r)
)
dO} dr
iO
U6(Z ). To show convergence, again according to (4.9), J~7r u(z-sre ) dO ----; 211" u(z) as s ----; O. Thus using the just concluded display of equations and the Monotone Convergence Theorem, we get that as s ----; 0, ue(z) = Ju(z sw) ¢(w) dA(w) ----; Ju(z) ¢(w) dA(w) = u(z). 0 iO
4.21 Corollary. If u is subharmonic on 1(;, there is a decreasing sequence {un} of continuous subharmonic functions that converges pointwise to u. The next corollary can be interpreted as saying that a locally integrable function that is locally subharmonic almost everywhere is globally subhar monic.
4.22 Corollary. If u E LtocC G) such that whenever B (a; r) ~ G there is a subharmonic function v on B(a; r) that is equal to u a.e. [Area], then there is a subharmonic junction U on G such that u = U a.e. [Area].
228
19. Harmonic Functions Redux
19.5. The Logarithmic Potential
Proof. Define u" as in the preceding proposition. Fix b > a and let K be a compact subset of {z E G: d(z,oG) > 2b}; so K" = {z: d(z,K):::; b} is a compact subset of G. It follows from the hypothesis that there is a subhar monic function v on int K" such that u = v a.e. [Area]. Hence u,,(z) = v,,(z) for all z in K and C < b. This implies several things. First, u,,(z) decreases with c and, by the preceding proposition, u,,(z) ---... v(z) as f ---... O. Also, since K was arbitrary, it follows that U(z) == lim,,--->o u" (z) exists for all z in G. Moreover, by what has just been proved, U is subharmonic. On the other hand, JK lu, - ul dA ---... 0 for every compact subset K of G. So for any compact set K there is a sequence {Cj} such that Cj ---... 0 and U"j (z) ---... u(z) a.e. [Area] on K. Thus u = U a.e. [Area] on G. 0
Subharmonic functions have been found to be quite useful in a variety of roles in analysis. This will be seen in this book. The discussion of sub harmonic functions will continue in the next section, where the logarithmic potential is introduced and used to give another characterization of these functions, amongst other things. The work Hayman and Kennedy [1976] gives a full account of these functions.
a, show that u can be defined at the point a in such a way that the resulting function is subharmonic on G.
8. If u is a subharmonic function on nand T : G ---... n is an analytic function, then u 0 Tis subharmonic on G. (Hint: Use the Chain Rule to show that o&u ~ 0 as a distribution.) 9. Let G l and G 2 be open sets with oG l ~ G 2 and put G = G l U G 2 • If Uj is a subharmonic function on Gj,j = 1,2, and Ul :::; U2 on G l nG 2 , show that the function u defined on G by u = Ul on G 1 and u = U2 on G 2 \ G l is subharmonic.
§5 The Logarithmic Potential Recall from Lemma 13.2.10 that the logarithm is locally integrable on the plane. Thus it is possible to form the convolution of the logarithm and any compactly supported measure.
5.1 Definition. For a compactly supported measure J.L on iC, the logarith mic potential of J.L is the function
Exercises 1. Show that if u is a subharmonic function on G, B(a; r) ~ G, and J.L is a probability measure on [0, r] that is not the unit point mass at 2 0, then u(a) :::; 2~ Iro,rJ J0 71" u(a + te i8 ) d()dJ.L(t). 2. Show that for any complex number zo, the function u(z) is subharmonic.
= Iz - zol
3. Show that Definition 4.12 extends Definition 6.3.1. 4. A function ¢ : [a, b] ---... [-00, (0) is convex if and only if conditions (a) and (b) from Definition 4.12 hold as well as 4.23
for a
229
¢(u) - ¢(x) < ¢(y) - ¢(u) u-x y-u
< x < u < Y < b.
5. A function ¢ : [a, b] ---... [-00, (0) is convex if and only if conditions (a) and (b) from Definition 4.12 hold as well as the condition that {x + iy : a < x < band ¢(x) ~ y} is a convex subset of C. 6. Show that if u is subharmonic on iC and J.L is a positive measure with compact support, then u * J.L is subharmonic. 7. Let G be an open set and let a E G. If u is a subharmonic function on G \ {a} that is bounded above on a punctured neighborhood of
LJ.L(z) =
J
log Iz
- wl- 1 dJ.L(w).
So for any compactly supported measure J.L, the function LJ.L is defined at every point of the plane. The elementary properties of the logarithmic potential are in the next proposition, where it is shown, in particular, that LJ.L is a locally integrable function. Recall that jL is the Cauchy transform of a compactly supported measure (18.5.1)
5.2 Proposition. For a compactly supported measure J.L, the following hold.
(a) LJ.L is a locally integrable function. (b) L/1 is harmonic on the complement of the support of J.L.
(c) If J.L is positive, LJ.L is a superharmonic function on iC. (d)
aLJ.L
= _2- l jL and &L/1. = -2- 1 fi , the Cauchy transform of the
conjugate of J.L. Proof. Part (a) is a consequence of Proposition 18.3.2 and the fact that a measure is finite on compact sets. Part (b) follows by differentiating under the integral sign. Part (c) is a consequence of Exercise 4.6. Part (d) follows by an application of Proposition 18.4.7; the details are left to the reader.
o
2:t:!l!!!W'''
."Elm
_._ . tt_·~..·t.""'':''-es:E2
230
Let', fix the me..sure
~
on" let K
LJL(Z) + J.L(K) log Izi =
_._,; ::.2 'P!"2it3UIL
~
~.
2'1"w"::;!!tJ""!'''"'"''':'.'fii#iie~S'~.-:-
19. Harmonic Functions Redux
,upport
Note that
r log 11- ~1-idJ.L(w) iK z
and hence L I' (z) + J.L (K) log Iz I -> 0 as z theorem.
-> 00.
This proves part of the next
5.3 Theorem. If J.L is a compactly supported measure, then
I
II -~
I:
_,~~~~~"'F~~~~~~~",~~
19.5. The Logarithmic Potential
(a) (b)
The function u is eq~al to a sUbharm,oni~ fu~ctio~ a.e,. [.Area] in G.
The Laplacian of u zn the sense of dzstrzbutwns zs posztwe.
(c) There is a positive extended real-valued measure v on G such that if G i is a bounded open set with cl G i f; G and J.L == vlG i , then there is a harmonic function h on G 1 with
ulG 1 = h - 21r LJL a.e.[Area].
ALI' = -21r J.L and LJL(z)+J.L(K) log Izj -> 0 as z -> 00. Moreover LJL is the unique solution of this equation in the sense that if h is a locally integrable function such that Ah = -21r J.L and h(z) + J.L(K) log Izi -> 0 as z -> 00, then h = LJL a.e. [Area].
Proof. (a) implies (b). Assume that u is a subharmonic function on G; it must be shown that, for every ¢ in D(G) such that ¢ ~ 0, J u A¢ dA ~ O. So fix such a ¢ and let 0 < ro < 2- 1dist(supp ¢, 8G). Let K = {z : dist(z,supp¢) ::::: ro}. Let r be arbitrary with 0 < r < ro· So if z E K, then B(z;r) f; G and 21ru(z)::::: J~1r u(z + re i9 ) dB. Therefore
Proof. The fact that ALI' = -21r J.L is just a combination of (5.2.d) and Theorem 18.5.4. It only remains to demonstrate uniqueness. So let h be a locally integrable function as in the statement of the theorem. Thus A(LJL 21r h) = 0 as a distribution. By Weyl's Lemma, LJL -h is equal a.e. to a function v that is harmonic on C. But we also have that v(z) -> 0 as z -> 00. Thus v must be a bounded harmonic function on the plane and hence constant. Thus v == 0, or h = L w 0 Hence 5.4 Corollary. If J.L is a compactly supported measure, G is an open set, 5.7 and LJL(z) = 0 a.e. [Area] on G, then IJ.LI(G) = O. Proof.
If ¢ E D(G), then J ¢dJ.L = _(21r)-1 J A¢dA = O. 0
5.5 Corollary. If J.L is a compactly supported measure and G is an open set such that LJL is harmonic on G, then IJ.LI(G) = O. Why define the logarithmic potential? From the preceding theorem we have that for a fixed w, A(loglz - wI) = -21r 8w , where 8w is the unit point mass at w. Thus the logarithmic potential is the convolution of the measure J.L with this fundamental solution of the Laplacian and LJL solves the differential equation AT = -21r J.L. The reader may have noticed several analogies between the Cauchy trans form and the logarithmic potential. Indeed Proposition 5.2 shows that there is a specific relation between the two. Recall that a function u is harmonic if and only if 8 u is analytic. This will perhaps bring (5.2) a little more into focus. Also as we progress it will become apparent that the logarithmic potential plays a role in the study of approximation by harmonic functions like the role played by the Cauchy transform in rational approximation. For example, see Theorem 18.6.2. But for now we will concentrate on an application to the characterization of subharrnonic functions.
231
5.6 Theorem. If 0 i' a laroll. inlegroble function an 0" open ,.t G, ilien
the following statements are equivalent.
'1(
-,
~~,"~"--""=o"""~-~"",,,,,,,a~~,,,,-,,,"=.=~~~~,---.
fc
u(z)¢(z)dA(z)
:::::
JK ¢(z)
1 1
21r 21r
[
0::::: [u(z)
[1
21r
u(z)
i9 u(z+re )dBdA(z) ¢(z - re i9 ) dBdA(z).
¢(z-re i9 )dB-21r¢(Z)] dA(z).
Now look at the Taylor expansion of ¢ about any point z in supp ¢ to get
r21r ¢(z - rei9 ) dB
io
=
r21r [¢(z) + [(8¢)(z)][-re- i9 ]+ [(8¢)(z)][rei9 ]
io
+~[(88¢)(z)]lrei912 + ~[(82¢)(z)][rei9]2 +~[(82 ¢)(z)][re-i9] 2 + \lI(z -
re i9 )] dB
21r ¢(z) + 21r r 2[( 88¢ )(z)] + \lI 1(z, r). Now the nature of the remainder term \lIl(z,r) is such that there is a constant M with l\lIl(z,r)1 ::::: Mr 3 for all z in K. Substituting into (5.7) and dividing by r 2 , we get
o
< [u(z)
[~A¢(Z) +r- 2\l11(z,r)]
dA(z)
~ JK u(z)A¢(z)dA(z) + JK u(z)r- 2\l11(z,r)dA(z).
~b
232
19. Harmonic Functions Redux
Since IWl(Z, r)1 :s; M r 3 for all Z in K, this second integral can be made as small as desired for a suitably small choice of r. So letting r --+ 0, we get that
o:s;
5.8 Corollary. Ifu E CZ(G), then U is subharmonic if and only if b.u.2: O.
The reader can now proceed, if desired, to the next section. A few es sential properties of the logarithmic potential are appropriately obtained here, however. We will see these used in Chapter 21. The key to the proof of each of these results is the following lemma.
5.9 Lemma. If j.L is a positive measure with support contained in the com pact set K and a E K such that LJ1.(a) < 00, then for any c > 0 there is a 8 > 0 with the property that for Iz - al < 8 and ~ any point in K with dist(z, K) = Iz - ~I we have
LJ1.(z) < c + LJ1.(~)' Proof. Notice that the fact that LJ1.(a) < 00 implies that j.L does not have an atom at a. So if c > 0, there is a p > 0 such that for D = B(aiP), j.L(D) < c. Look at the two logarithmic potentials log Iw - zl- 1 dj.L(w),
UZ(Z) = (
log Iw
-
zl- 1 dj.L(w).
JK\D
So Uz is harmonic on int D (5.3). For each Z in C let ~(z) be any point in K such that Iz - ~(z)1 = dist(z, K). (So ~(z) is not a function.) Now if z --+ a, ~(z) --+ a. Therefore 8 > 0 can be chosen so that 8 < P and for Iz - aj < 8 we have I/I',(z) - al < P and luz(z) - uZ(/I',(z)) I < €.
-=.,.,...--_._-----
U.,ffi!Silili_,iIb&iU.
233
19.5. The Logarithmic Potential
For all w in K, Iw - ~(z)l :s; Iw - zl
U1(Z)
S;
u b.¢dA.
Part (c) of the preceding theorem is called the Riesz Decomposition Theorem for subharmonic functions. Another version of this will be seen in Theorem 21.4.10 below.
1
-litiifMmiDj11IHl!!Dun
~
J
(b) implies (c). Since b.u is a positive distribution on G, there is a positive regular Borel measure v on G such that b.u = v (18.4.9). (It may be that v is unbounded.) That is, for every ¢ in V(G), Ju b.¢ dA = J¢ dv. Let G 1 be any bounded open set with cl G 1 ~ G and put Ul = ulG 1 and j.L = vlG l . So j.L has compact support and LJ1. is well defined. Also, as distributions on G1, b.(U1 + 271" LJ1.) = O. By Weyl's Lemma, there is a harmonic function h on G 1 such that Ul + 271" LJ1. = h. That is, U1 = h - 271" L w (c) implies (a). Since LJ1. is superharmonic, (c) implies that, for every closed disk B contained in G, U equals a subharmonic function a.e. [Area] on the interior of B. Part (a) now follows by Corollary 4.22. 0
U1(Z) =
II1L2 I• • lIii1lIiILlU:Z
1
I
+ Iz -
log w - 2/1',(Z)
~(z)1 S;
21w - z[. Hence
\-1 dj.L(w)
log2j.L(D) + U1(~(Z)) < dog 2 + U1(~(Z)). Thus for Iz -
a\ < 8, LJ1.(z)
Ul(Z) +uz(z) S; dog 2 + U1(~(Z)) + uz(~(z)) < c(1 + log 2) + LJ1.(II;(z)).
=
+c
o The next result is often referred to as the Maximum Principle for the logarithmic potential. 5.10 Proposition. If j.L is a positive measure with support contained in the compact set K and if LJ1.(z) S; M for all Z in K, then LI'(z) :s; M for
all z in C. Proof. Without loss of generality we may assume that M < 00. By the Maximum Principle, LJ1. S; M in all the bounded components of the com plement of K. Let G be the unbounded component of C \ K. Fix c > O. The preceding lemma implies tha.t f~r any point a in K there is a 8 > 0 with the property that whenever Iz - al < 8 there is a point ~ in B(a; 8) n K for which LJ1.(z) < c + LJ1.(~) S; c + M. That is, LJ1. S; c + M on B (ai 8). The collection of all such disks B (a; 8) covers K. Extracting a finite subcover we get an open neighborhood U of K such that LI' :s; c + M on U. But LJ1.(z) --+ -00 as Z --. 00. Therefore LJ1.(z) S; c + M in G by the Maximum Principle. Since c was arbitrary, this completes the proof. 0 Here are two important points about the last proposition. First, the upper bound M in this result may be infinite. For example, if K is the singleton {a}, then the only positive measures j.L supported on K a.re of the form j.L = (38 a for some (3 ~ O. In this case LJ1. = 00 on K. There are non trivial examples of compact sets K for which each measure j.L supported on K has SUPKLI'(Z) = 00. See (21.8.17) below. The other point is that this result says nothing about the lower bound of the logarithmic potential. In fact, for a compactly supported measure j.L, LJ1. is always bounded below on its support (Exercise 1) while, according to Theorem 5.3, LJ1.(z) --. -00 as Z --+ 00.
The next r~sult is called the Continuity Principle for the logarithmic potential.
'!!!!! _Z
234
. _!!!II
g_.3
!.
19. Harmonic Functions Redux
EM
_~
J. .'.'~-
Potential theory is a vast subject. If other kernel functions are used be sides log Iz - W 1-1, other potentials are defined and the theory carries over to n-dimensional Euclidean space. Indeed, the logarithmic potential is pe culiar and annoying in that it is not positive; a cause of pain and extra effort later in this book. Various properties and uses of these general potentials are found in the literature. In particular, most have properties analogous to those for the logarithmic potential found in the last two propositions. The reader interested in these matters can consult Brelot [1959], Carleson [1967], Choquet [1955], Frostman [1935], Hedberg [1972b], Helms [1975], Landkof [1972], and Wermer [1974]. Exercises 1. For a positive compactly supported measure Jl, show that L,,(z) > -00 for all z in C, and for any compact set K there is a constant m such that m ~ L,,(z) for all z in K. 2. If Jl, Jl1, Jl2, .. , are measures whose supports are contained in the compact set K and Jln ..-. Jl weak* in M(K), show that L,,(z) ~ liminfn L"n (z) for all z in C. 3. Let G be an open set and K be a compact subset of G. Show that if u is a real-valued harmonic function on G \ K, then u = Uo + Ul, where U1 is harmonic on G, Uo is harmonic on C\K, and there is a constant a such that uo(z)+alog Izl ..-.0 as z ..-. 00. (Hint: Let ¢ E such that o ~ ¢ ~ 1, supp¢ ~ G, and ¢ == 1 on K8 == {z: dist(z,K) ~ o} ~ G. Define the function W: G..-.lR by W = (l-¢)u on G\K and W = 0 on intK8 . Let Jl be the measure (.6.WhC\K and put V = _(211")-lL,.,. Show that V is a subharmonic function that is locally integrable, .6.V = Jl, and, if a = _(211")-lJL(L), then V(z) + a log Izi ..-. 0 as z ..-. 00. Define the function Uo : C \ K ..-. lR by letting Uo = u¢ + V on G\K and Uo = Von the complement of supp ¢. Define U1 : G ..-. lR by letting U1 = W- V on G \ K and U1 = - Von intK8 .)
Co
~~~JtiR*!¥~~'~
-
....r"~"
19.6. Approximation by Harmonic Functions
235
4. Show that the functions Uo and U1 in Exercise 3 are unique.
5.11 Proposition. If Jl is a positive measure with support contained in the compact set K, a E K such that L,,(a) < 00, and if L"IK is continuous at a as a junction from K into the extended real numbers, then L" is continuous at a as a function defined on C.
Proof. Fix c > 0 and choose 80 > 0 such that if I'\, E K and fa - 1'\,1 < 00, then IL,,(I'\,) - L,,(a)1 < c. Now apply Lemma 5.9 to get a 0 with 0 < o < 00 such that whenever [z - al < 0 there is a point I'\, in B(a; 0) n K for which L,,(z) < c + L,,(I'\,). But this implies L,,(z) < c + L,,(a) + c. What this says i§ that limsuPz--->a L,,(z) ~ L,,(a). But L" is lsc and so L,,(a) S lim infz--->a L,,(z). 0
e. -
S. In Exercise 3, show that if both G and u are bounded, then so is Ul.
§6
An Application: Approximation by Harmonic Functions
In this section we will see that the logarithmic potential plays a role in approximation by harmonic functions similar to the role played by the Cauchy transform in approximation by rational functions (see §18.6). 6.1 Definition. If K is a compact subset of C, let H(K) be the uniform closure in C(K) of the functions that are harmonic in a neighborhood of K. HJR(K) denotes the real-valued functions in H(K). Note that H(K) is a Banach space but is not a Banach algebra. On the other hand, if a function belongs to H(K), then so do its real and imaginary parts. This will be helpful below, since a measure annihilates H(K) if and only if its real and imaginary parts also annihilate H(K). This was not the case when we studied the algebra R(K). 6.2 Theorem. If K is a compact subset of C, Jl is a real-valued measure on K, and {a1,a2""} is chosen so that each bounded component of the complement of K contains one element of this sequence, then the following are equivalent.
(a) Jll- H(K). (b) LIt(z) = 0 for all z in C \ K. (c) Jl.l R(K) and L,,(aj)
= 0 for j
= 1,2, ...
Proof. (a) implies (b). If z ~ K, then w ..-. log Iz - wi is harmonic in a neighborhood of K. Thus (b). (b) implies (c). Since L" vanishes identically off K 1 fi, = - 28 L" == 0 on C \ K. By Theorem 18.6.2, Jl .l R(K). (c) implies (a). Since Jl is real-valued, Theorem 18.6.2 together with Proposition 5.2.d imply that 8L/< and aL" vanish on the complement of K. Thus L/< is constant on components ofC\K; the other condition in part (c) implies that L" vanishes on all the bounded components ofC\K. On the other hand, for lal sufficiently large there is a branch of log(z - a) defined in a neighborhood of K so that this function belongs to R(K) by Runge's Theorem. Thus L/< also is identically 0 in the unbounded component of C\K. 0 Note that the only place in the proof of the preceding theorem where the fact that Jl is real-valued was used was in the proof that (c) implies
236
19. Harmonic Functions Redux
(a). Conditions (a) and (b) are equivalent for complex measures. In fact, if Lp. == 0 on C\K, then Lv == 0 there, where v is either the real or imaginary part of J.l. The next theorem can be taken as the analogue of Runge's Theorem. To set the notation, fix K and let E be a subset of C \ K that meets each bounded component of C \ K. Let HR(K, E) be the uniform closure of all the functions of the form Re f + L~=l Ck log Iz - akl, where f is analytic in a neighborhood of K, n ~ 1, the constants Ck are real, and ak E E for 1:::; k:::; n. 6.3 Theorem. If K is a compact subset ofC and E is a set that meets each bounded component ofC \ K, then HR(K, E) = H(K), where HR(K, E) is defined as above.
Proof. Clearly HR(K, E) ~ H(K). It suffices to show that if J.l is a real valued measure supported on K and J.l1.- HR(K, E), then J.l1.- H(K). But since IRe f dJ.l = 0 for every function f analytic in a neighborhood of K and J.l is real-valued, J.l 1.- R(K). Also LJ.L(a) = 0 for all a in E. By the preceding theorem, J.l1.- H(K). 0 The proof of the next corollary is similar to the proof of Corollary 8.1.14. 6.4 Corollary. If G is an open subset of C and E is a subset of C \ G that meets every component of C \ G, then every real-valued ha1'1T/,onic junction u on G can be approximated unifo1'1T/,ly on compact subsets of G by junctions of the form n
Re f(z)
+
Lb
k
log Iz - akl,
k=l
where f is analytic on G, n
~
1, and al, ... ,an are points from E.
We will return to the logarithmic potential when we take up the study of potential theory in the plane in Chapter 21. Exercises 1. Let K be a compact subset of C. For J.l in M(K) and ¢ a smooth function with compact support, let J.l = ¢Lw (b) J.l1.- H(K) if and only if J.l
2. If K is either a closed disk or a closed annulus, show that H(K) is the space of continuous functions on K that are harmonic on int K.
19.7. The Dirichlet Problem
§7
237
The Dirichlet Problem
This topic was discussed in §10A and we will return to examine various aspects of the subject in the remainder of this book. We begin by recalling the following definition. 7.1 Definition. A Dirichlet set is an open subset of Coo with the property that for each continuous function u : oooG ---+ C there is a continuous function h : cl ooG ---+ C such that h is harmonic on G and hloooG = u. The function h is called the classical solution of the Dirichlet problem with boundary values u. A connected Dirichlet set is called a Dirichlet region. The sets G in this definition are allowed to contain the point at infinity, so let's be clear about what is meant by being harmonic (or subharmonic) at infinity. Suppose K is a compact subset of C and u : C \ K ---+ lR is harmonic. Thus U(Z-l) is harmonic in a deleted neighborhood of O. We say that u is ha1'1T/,onic at infinity if U(Z-l) has a harmonic extension to a neighborhood of O. According to Theorem 15.1.3, there is a real constant c and an analytic function h defined in this punctured neighborhood such that U(Z-l) = clog Izl + Re h(z). Thus u(z) = -c log Izi + Re h(Z-l). So u is harmonic at 00 precisely when this constant c is 0 and h has a removable singularity at O. In most of the proofs we will assume that G is contained in the finite plane. Usually the most general case can be reduced to this one by an examination of the image of G under an appropriate Miibius transformation chosen so that this image is contained in C. Some of the results of §1O.4 will be used here. It is shown there that if each component of Goo G consists of more that one point, then G is a Dirichlet set. It is also shown there that the punctured disk is not a Dirichlet set. In this section we will not concentrate on the classical solution of the Dirichlet problem. This topic will be encountered in §10 below, when we discuss regular points. Even though there are open subsets of C that are not Dirichlet sets, each function on GooG gives rise to a "candidate" for the solution of the Dirichlet problem as we saw in Theorem 10.3.11. We recall this result in a somewhat different form to accommodate our new definition of a subharmonic function and to extend the functions that are admissible as boundary values. Let lRoo = lR U {±oo} with the obvious topology; that is, lRoo is the "two point" compactification of lR. An extended real-valued function is one that takes its values in lRoo '
1.2 Definition. If u is any extended real-valued function defined on oooG, let
p(u, G)
{¢ : ¢ is subharmonic on G, ¢ is bounded above, and limsup¢(z) :::; u(a) for every a in GooG} , z->a
238
P(u, G)
19. Harmonic Functions Redux
239
19.7. The Dirichlet Problem
{1jJ : 1jJ is superharmonic on G, 1jJ is bounded below,
(b)
If c is a non-negative real number, then @ = c u and
z--+a
(d) If v is a finite-valued function on G, then u + v (u+v) (Uh)
These collections of functions are sometimes called the lower and upper Perron families, respectively, associated with u and G. It is somewhat useful to observe that - p( -u, G) = p( u, G). Also define functions u and u on G by
:s
(e)
7.4 Lemma. Assume that P is a family of subharmonic junctions on G with the properties: (i) if 4>1 and 4>2 E P, then so is 4>1 V 4>2; (ii) if 4> E P and B(a; r) <;;;; G, then the harmonic modification of 4> on B(a; r) also belongs to P. If h(z) = sup{4>(z) : 4> E P}, then on each component of G either h or h is harmonic.
==
00
Proof. The proof of this lemma is like the proof of Theorem 10.3.11, but where Corollary 4.18 is used rather than Corollary 10.3.7. The details are left to the reader. 0
7.5 Proposition.
(a) If u is any junction, u and u are harmonic junctions on any compo nent of G on which they are not identically ±oo.
Ifu is a bounded function,
:s
= cu
and
:s u + V.
-Ilull oo :s u:S u:S Ilull oo .
Proof. Part (a) is immediate from Proposition 7.3 and the preceding lemma. The proofs of parts (b) and (c) are routine. The proof of (d) is a combination of basic mathematics and an application of the Maximum Principle, which implies that if 4> E p(u, G) and'l/J E p(u, G), then 4> 1jJ. The proof of (e) follows by observing that certain constant functions belong to the appropriate families of subharmonic and superharmonic functions.
= sup{ 4>(z) : 4> E p(u, Gn, u(z) = inf{1jJ(z): 1jJ E p(u,Gn.
u(z)
7.3 Proposition. If 4>1 and 4>2 E p(u, G), then so is 4>1 V 4>2. If 4> E p(u, G) and B(a; r) <;;;; G, then the harmonic modification of 4> on B(a; r) also belongs to p(u, G).
ciL.
cu = cu. on BooG such that v and v are finite
(c) If c is a non-positive real number, then @
and lim inf1jJ(z) :2': u(a) for every a on BooG}.
These functions are called the lower and upper Perron functions, respec tively, associated with u and G. They will also be denoted by ua and ua if the dependence on G needs to be emphasized, which will be necessary at certain times. Note that p(u, G) contains the identically -00 function, so that it is a non-empty family of functions. Thus u is well defined, though it may be the identically -00 function. Of course if u is a bounded function, then p( u, G) contains some finite constant functions and so u is a bounded function. Similar comments apply to p( u, G) and U. Usually results will be stated for the lower Perron family or function associated with u and G; the corresponding statements and proofs for the upper family and function will be left to the reader. The proof of the next proposition is left to the reader. (See Corollary 4.18.)
cu =
:s
o <;':~
,
If u E CIR(BooG) and there is a classical solution h of the Dirichlet prob lem with boundary values u, then u = u = h (Exercise 1). So in order to solve the Dirichlet problem, it must be that u = U. Suppose that this does indeed happen and u = U. Define h : clooG ---., R by letting h = u = u on G and h = u on BooG. There are two difficulties here. First, how do we know that h is continuous on clooG? Indeed, it will not always be so since we cannot always solve the Dirichlet problem. Second, how can we decide whether u = u? The first question was discussed in §10.4 and will receive a more complete discussion as we progress. The second question has an affirmative answer in most situations and will be addressed shortly. But first we show that it is only necessary to consider connected open sets. As is customary, results will be stated and proved for lower Perron functions, while the analogous results for the upper Perron functions will be left to the reader to state and verify.
7.6 Proposition. If G is any open set, H is the union of some collection of components ofG, u: BooG ---., [-00,00], and v = uiBooH, then ua = VH onH. Proof. It is easy to see that if 4> E p(u, G), then 4>IH E p(v, H); thus ua:S 1m on H. Now suppose 4> E p(u, G) and 4>0 E P(v,H) and define 4>1 on G by 4>1(Z) = 4>(z) V 4>o(z) for z in H and 4>1(Z) = 4>(z) otherwise. The reader can check that 4>1 E P(u, G) and, of course, 4>o(z) 4>dz) for z in H. Thus VH(Z) ua(z) for all z in H. 0
:s
:s
The previous proposition is generalized in Proposition 21.1.13 below. 7.7 Corollary. IfG is any open set and u : BooG ---., [-00,00], then u = u if and only if for each component H ofG, VH = VH on H, where v = uiBooH. 7.8 Proposition. Let G be an arbitrary open set and assume u is an
240
19. Harmonic Functions Redux
19.7. The Dirichlet Problem
241
arbitrary extended real-valued function on oooG.
I
Because u and U are harmonic functions and u ~ U on G, in order for u to be solvable it suffices, by the Maximum Principle, that the functions are (a) Ther'e is a sequence {
have that u = (u~) ~ (u~) + Un ~ Ilu - unll + Un; also If u 2: a, then replace each
, = U----'> - S'Ince Un - = Un, U - Un + Un _> U~ - Un + Un _ - II U Un II + Un' (b) First assume that u is bounded above. Let {
u
I I
I
I
7.9 Definition. Say that a function u : oooG ---> lRoo is solvable if u = U and this function is finite-valued on G. If u is a solvable function, then u will be called the solution of the Dirichlet problem with boundary values u. If G is an open set such that every continuous function on oooG is solvable, say that G is a solvable set.
7.11 Proposition. Assume G is connected. If for each n 2: 1, Un E S(G) with Un ~ 0 and if u == En Un! then either:
(a) u E S(G) and u = L n Un! where the convergence of this series is uniform on compact subsets of G; or
il
'I I,
I
Iii
II [ II :
I
III II
III! I
i
II
I, 1
1 'I. 1 ,
:1
'I! II"
III)
II11
242
19. Harmonic Functions Redux
(b) U = U == 00 and Ln un(z) converges to subsets of G.
243
uniformly on compact
7.14 Lemma. If ¢ is a real-valued junction that is continuous on clooG and subharmonic on G, then ¢1800 G is solvable.
Proof. Let Vn = L~=l Uk; SO vn E S(G) and vn = L~=l Uk. Since Vn :S: u, vn :S: U. Thus Ln Un :S: U. Similarly, L n Un :S: U. Note that since Un 2: 0, Proposition 7.8 implies we may restrict our attention to the positive functions in p(u n , G). Fix a point Zo in G and an e > O. For each n 2: 1, let '¢n E p(u n , G) such that '¢n is positive and '¢n(Zo) < un(zo) + e/2 n . According to Proposition 4.6.c, '¢ == L '¢n is n superharmonic. If a E 8 00 G, then
Proof. Let u = ¢1800 G and ¢l = ¢IG; it follows that ¢l E P(u, G) and hence that ¢l :S: u on G. Thus liminf z ---+ a u(z) 2: liminC---+a ¢l(Z) = ¢(a) = u(a). That is, u E p(u, G). Therefore U :S: U. But we always have that U:S: u by (7.5.e). Thus u is solvable. 0
00
00
00
lim inf '¢(z) 2: L....J '"' lim inf '¢n(z) 2: L....J '"' un(a) = u(a). z--+a z--+a n=l n=l Thus'¢ E p(u, G). Hence u(zo) :S: '¢(zo) :S: L n un(zo) + e. Since Zo and e were arbitrary, this implies that U :S: L n Un- Since the reverse inequality was already established, this implies that Ln Un :S: U :S: U = L Un = n L n Un' Thus U = U. If u is solvable, then because the harmonic functions in the sum u(z) = L n un(z) are all positive, the convergence is uniform on compact sets. Part (b) also follows by Harnack's Theorem. 0
II
II
19.7. The Dirichlet Problem
7.12 Corollary. Assume G is connected. If {un} is an increasing sequence of solvable functions on 8 00 G and u(() == limn u n ((), then either u is solv able and un(z) --+ u(z) uniformly on compact subsets of G or u = U == 00 and un(z) --+ 00 uniformly on compact subsets of G. This allows us to prove a useful fact about solvable open sets as defined in (7.9). 7.13 Corollary. If G is a solvable set, then every bounded real-valued Borel function on 800 G is solvable. Proof. The hypothesis implies that Soo is a collection of bounded func tions on 8 00 G that contains the continuous functions and, according to Corollary 7.12, contains the bounded pointwise limit of any increasing or decreasing sequence in Soo. This implies that Soo contains the bounded Borel functions. (A result from measure theory says that if we take the increasing limits of continuous functions, then take the decreasing limits of the resulting functions, and continue to repeat this transfinitely up to the first uncountable ordinal, the resulting class of functions is precisely the Borel functions.) 0
Now to get a rich supply of examples of solvable sets. The next lemma extends Exercise 1.
The next theorem is due to Wiener. 7.15 Theorem. If G is a bounded open set, then G is solvable. Proof. Let u be a real-valued continuous function on 8 G and let {Pn(z, zn be a sequence of polynomials in z and z that converges to u uniformly on 8 G. (The boundedness of G is being used here.) Let Cn be a positive constant that is sufficiently large that t!..(Pn + cn lzl 2 ) > 0 on cl G (again the boundedness of G). By Corollary 5.8, Pn + cn lzl 2 is subharmonic on G. The preceding lemma implies that Pn + cn lzl 2 is solvable. Thus both Pn + cn lzl 2 and cn lzl 2 are solvable. Therefore Pn is solvable by Proposition 7.10. This same proposition implies that u, the limit of {Pn}, is solvable.
o With a little work this collection of solvable sets can be enlarged. This requires a preliminary result that has independent interest. 7.16 Proposition. If G is a solvable set and T : clooG --+ clooO is a homeomorphism such that T is analytic on G, then 0 is a solvable set. Proof. It is not difficult to see that with the assumptions on T, for any function v: 8 00 0 --+ IR and u = VOT, P(u,G) = {¢OT: ¢ E p(v,On and p(u, G) = {'Ij; 0 T : '¢ E p(v, On. The rest readily follows from this. 0
7.17 Theorem. If G is not dense in C or if G is a Dirichlet set, then G is a solvable set. Proof. Suppose G is not dense. So there is a disk B(a; r) that is dis joint from the closure of G. But then the image of G under the Mobius transformation (z - a)-l is contained in B(a; r). By Theorem 7.15 and the preceding proposition, G is a solvable set. If G is a Dirichlet set, then for every continuous function u on 8 00 G there is a classical solution h of the Dirichlet problem. According to Lemma 7.14 (or Exercise 1) this implies that u is solvable. 0
7.18 Corollary. IfG is not connected, then G is solvable. Proof. According to Corollary 7.7, G is solvable if and only if each com ponent of G is solvable. But if G is not connected, then no component of G is dense and hence each component is a solvable set. 0
244
19. Harmonic Functions Redux
An examination of the preceding theorem and its corollary leads one to believe that an open subset of a solvable set is also solvable. This is the case and will follow after we characterize solvable sets in Theorem 10.7 below. This last result leaves the candidates for non-solvable sets to those of the form G = C \ F, where F is a closed set without interior in C. If no component of F is a singleton, then G is a Dirichlet set (10.4.17) and so G is solvable. So a typical example would be to take G = Coo \ K, where K is a Cantor set. Note that such open sets are necessarily connected. It is not difficult to get an example of a non-solvable set. In fact the punctured plane is such an example. To see this we first prove a lemma that will be used in a later section as well. 7.19 Lemma. If ¢ is a subharmonic function on the punctured plane, Co, such that ¢ ~ 0 and limsupz-+o ¢(z) ~ a for some a, then ¢ ~ a. Proof. Let c > 0; by hypothesis, there is a 8 > 0 such that ¢(z) < a + c for Izl ~ 8. Take b to be any point in Co and let r be an arbitrary number with r > Ibl. If hr(z) = [log(8/r)]-1[a + c] log Iz/rl, then h r is harmonic in a neighborhood of the closure of the annulus A = ann(Oj 8, r). For Izi = 8, it is easy to see that hr(z) ~ ¢(z). For Izi = r, hr(z) = 0 ~ ¢(z). Thus the Maximum Principle implies that h r ~ ¢ on cl A; in particular, ¢(b) ~ hr(b). Since r was arbitrary, ¢(b) ~ limr -+ oo hr(b) = a + c. Since c was arbitrary, ¢(b) ~ a. 0 7.20 Example. The punctured plane Co is not a solvable set. Define E p(u,C o), then limsupz-+o¢(z) ~ 0 and limsupz-+oo ¢(z) ~ 1. Applying the preceding lemma to the subharmonic function ¢ - 1, we have that ¢ - 1 ::; -1 so that ¢ ~ 0; thus if ~ O. If 'l/J E P(u,Co) and the preceding lemma is applied to -'l/J(I/z), we deduce that 'l/J ~ 1; thus ii ~ 1. Therefore Co is not solvable.
u(O) = 0 and u(oo) = 1. If ¢
Exercises 1. Suppose h is a continuous function on clooG that is harmonic on G and put u = h[oooG. Show that if = ii = h. 2. In Proposition 7.8 show that the sequence {¢n} converges to if uni formly on compact subsets of G. 3. If a is a real constant, ¢ E P(u, G) such that ¢(z) ~ a for all z in G, and Zo E oooG with u(zo) = a, then ¢(z) ----; a as z ----; ZO, z in G. 4. Show that if u and v are solvable functions, then so are max( u, v) and min(u, v). 5. Show that if F solvable set.
= {an}, where an ----;
00,
then G
= C \ F is not a
19.8. Harmonic Majorants
245
6. Show that C is a solvable set.
§8
Harmonic Majorants
This short section presents a result that will be useful to us in this chapter
as well as when we begin the study of Hardy spaces on arbitrary regions in the plane.
8.1 Theorem. Let G be an arbitrary open set in the plane. If u is a subhar monic function on G that is not identically -00 on any of its components, and if there is a harmonic function g on G such that g ~ u on G, then there is a unique harmonic function h on G such that:
(a) h
~
u on G;
(b) if f is any harmonic function on G such that f ~ u, then f ~ h. Proof. Clearly it suffices to assume that G is connected. Let {r n} be a sequence of smooth positively oriented Jordan systems in G such that if G n = ins r n, then cl G n ~ Gn+l and G = unG n . Let h n be the solution of the Dirichlet Problem on G n with boundary values u. Note that if 'l/J E P( u, G n ), then u ~ 'l/J on G n ; hence u ::; h n on G n . For any n, h n+ 1 is continuous on cl G n and dominates u there. Thus h n+1 ~ h n on G n . If n is fixed, this implies that h n ~ hn+l ~ h n+2 ~ ... on G n . This same type argument also shows that on G n , hn+k ::; g for all k ~ 0, where g is the harmonic function hypothesized in the statement of the theorem. Thus Harnack's Theorem, and a little thought, shows that h(z) == limn hn(z) defines a harmonic function on G such that h ~ g. Also since hn +k ~ u on G n , h ~ u on G. Now suppose f is as in condition (b). The Maximum Principle shows that for each n ~ 1, f ~ hn on G n . Thus f ~ h. The uniqueness of the function h is a direct consequence of part (b). 0
8.2 Definition. If G is an open set and u is a subharmonic function on G that is not identically -00 on any of its components and if there is a harmonic function h on G that satisfies conditions (a) and (b) of the preceding theorem, then h is called the least harmonic majorant of u. In a similar way, the greatest harmonic minorant of a superharmonic function is defined. So Theorem 8.1 can be rephrased as saying that a subharmonic function that has a harmonic majorant has a least harmonic majorant. Particular information about the form of the least harmonic majorant of a subhar monic function can be gleaned from the proof of Theorem 8.1 and is usefully recorded.
=lIJlI~'II=~
.1
._~2::r7F!!"'·"V"f"7W==!" ~
246
=~_."-!!!!!!!!p:~z:=:,:~
_..,~~=~
_n
"
~~.:~::::.~,=__~~±::::_~~~~~~~;"::::;:?:E~;~:~~~~~~~:::::~~~~"E:: ::'.:'~N<~¥r;;-
19. Harmonic Functions Redux
8.3 Corollary. With the notation of the preceding theorem, if G is con nected and {G n } is any sequence of Dirichlet regions such that cl G n ~ Gn+l and G = UG n , and if h n is the solution of the Dirichlet Problem on G n with boundary values ulG n , then h(z) = limn hn(z) is the least har monic majorant of u.
Exercises 1. If G is a.bounded Dirichlet region and u : cl G - t [-00,00) is an upper semicontinuous function that is subharmonic on G and not identically -00, then u has a least harmonic majorant. 2. Fix an open set Gin C and let H b ( G) denote the real-valued bounded harmonic functions on G. For u and v in Hb(G), let u V v be the least harmonic majorant of max{ u, v} and let u 1\ v be the greatest harmonic minorant of min{ u, v}. Show that, with these definitions of join and meet, Hb(G) is a Banach lattice.
§9 The Green Function
-",c,",,~=:::::~~~::"::::-:-::_':':-."~~~~~~E::~:=-:":":-:-~'·
19.9. The Green Function
247
The next point to be made is that this definition extends Definition 10.5.1. So let G be a region in C (we need not consider the case that 00 rt G) and let g(z, a) = ga(z) be as in Definition 10.5.1. Note that ga(z) - t 00 as z - t a while ga(z) - t 0 as z approaches any point on the extended boundary of G. Thus g is a positive harmonic function on G \ {a}. Clearly condition (b) above is also satisfied. It remains to show ·that g is the smallest such function. So let f : G x G - t (-00,00] be a function having properties (a) and (b) in Definition 9.1. If fa(z) = f(z,a), then fa(z) - ga(Z) = [fa(z) + log Iz - al] - [ga,(z) + log Iz - all is harmonic on G. Since fa is positive and for any'W in 800 G, ga(z) - t 0 as z - t 'W, liminfz--->wUa(z) - ga(z)] :;:;:: O. Therefore the Maximum Principle implies that fa(z) :;:;:: ga(z) for all z in G. The essence of the generality that the above definition has over Defini tion 10.5.1 lies in its applicability to arbitrary open sets, not just Dirichlet regions. The fact that G is not assumed to be connected does not truly rep resent a gain in generality. The Green function for an open set is obtained by piecing together Green functions for each of the components of G. In most of the proofs only regions will be considered as this obviates the need for certain awkward phrasings.
9.2 Proposition. Let G be a region in the extended plane.
9.1 Definition. For an open subset G of Coo a Green function is a function g : G x G - t (-00,00] having the following properties:
(a) If there is a Green function for G, then it is unique. In fact if a is a fixed point in G and f is a positive harmonic function on G \ {a} such that f(z) + log Iz - al is harmonic near a and f is the smallest such function, then f(z) = g(z, a) for all z in G.
(a) for each a in G the function ga(Z) = g(z, a) is positive and harmonic on G \ {a};
(b) If g is the Green junction for G and a E G, then ga(z) = g(z, a) for z =I- a and ga, (a) = 00 defines a superharmonic function on G.
(b) for each a =I- 00 in G, z - t g(z, a) + log jz - al is harmonic in a neighborhood of a; if 00 E G, z - t g(z, 00) - log Izi is harmonic in a neighborhood of 00;
(c) If n is another region in Coo, T : n - t G is a conformal equivalence, and g is the Green function for G, then h((, a) = g(T((), T(a)) is the
(c) g is the smallest function from G x G into (-00,00] that satisfies properties (a) and (b).
(d) If G is a simply connected region in the extended plane and for each a in G, Ta : G - t ]I)) is the Riemann map with Ta(a) = 0 and T~(O) > 0, then g(z, a) = -log ITa(z)1 is the Green function for G.
Several observations and notes are needed before we proceed. If in part (b) 00 rt G, then the function g(z, a) + log jz - al is harmonic throughout G; the restriction to a neighborhood of a is only needed when G contains the point at infinity. Also the reason for the statement that if 00 E G, z - t g(z, 00) - log Izi is harmonic in a neighborhood of 00 rather than throughout G is due to the possibility that 0 E G. After all if 0 E G, then g(z, 00) is harmonic near 0 and log Izi is not. See Exercise 1. Why the minus sign in g(z, 00) - log Izl? Don't forget that to say that g(z, 00) - log [zl is harmonic near 00 is to say that g(z-t, 00) -log Iz-11 = g(Z-l,oo) + loglzl is harmonic near O.
(e) The greatest harmonic minorant of the superharmonic junction ga
We extend the definition of a Green function that was given in §10.5.
Green function for
n.
defined in (b) is the zero function. Proof. The point here is that to get uniqueness it is only necessary to verify that the properties hold for one fixed choice of the singularity a. If f is as described, then, as in the argument that Definition 9.1 extends Definition 10.5.1, we have that f :;:;: ga on G. Since f is the smallest such function, f = gao Part (b) is an easy exercise. To prove part (c) it suffices to assume that neither G nor n contains 00. If h is as in (c), then clearly h is positive
__ _.__ -
.
..
..
._-
248
19. Harmonic Functions Redux
and for each a in n, ( --+ h(,Q) is harmonic on n \ {Q}. If T(Q) = a, h((, Q) + log I( - QI is the composition of ga + log Iz - al with T and therefore must be harmonic on n. It remains to verify condition (c) of the definition. But if f is another function on n x n satisfying conditions (a) and (b), f 0 (T- 1 x T- 1 ) is such a function on G x G. The fact that g is the smallest such function on G x G implies that h is the smallest such function on n x n. We note that -log[lz - ai/II - Qzl] is the Green function for JI)). If we fix a point a in G, then for any point bin G, Tb(Z) = C[Ta(Z) - Ta (b)JI[l Ta(b)Ta(z)] for some constant C (dependent on b) with lei = 1. With these observations, part (d) follows from part (c). To prove (e) first note that 0 is a harmonic minorant of ga' Let h a be the greatest harmonic minorant of ga; so 0 ~ h a ~ gao Thus ga - h a is a positive superharmonic function on G that is harmonic on G \ {a} and such that (ga - h a ) + log Iz - al is harmonic on G. From the definition of the Green function we have that ga - h a ~ ga, so that h a ~ O. 0 Part (d) of the preceding proposition can be used to compute the Green function for a simply connected region provided we know the conformal equivalence. See Exercise 2. Of course the Green function may not exist for a specific region G. This question of existence is crucial and is, as we shall see, intricately connected to other questions about harmonic functions. Note that if there is a Green function g for G, then there are non-constant negative subharmonic func tions on G; viz, -ga for each a in G. This leads us to the following classi fication of regions. 9.3 Definition. An open set G in iCoo is hyperbolic if there is a subharmonic function on G that is bounded above and not constant on any component of G. Otherwise G is called pambolic.
The comments preceding the definition show that if G has a Green func tion, then G is hyperbolic. By subtracting a constant function, we see that to say that G is hyperbolic is equivalent to the statement that there is a negative subharmonic function on G that is not constant on any com ponent of G. Every bounded region is hyperbolic since Re z is a bounded subharmonic function. Since any region that is conformally equivalent to a hyperbolic region is clearly hyperbolic, this says that any region that is not dense in the extended plane is hyperbolic. Thus the only candidates for a parabolic region are those of the form iCoo \ F, where F is some closed subset of iC oo . 9.4 Proposition. If G is an open set that is not connected, then G is hyperbolic. An open subset of a hyperbolic set is hyperbolic. Proof.
If G is not connected, then no component of G is dense. Hence on
19.9. The Green Function
249
each component we can find a non-constant negative subharmonic function. The proof of the second statement is trivial. 0 9.5 Proposition.
(a) If G is a solvable region and 8 G is not a singleton, then G is hyper bolic.
(b) If G is parabolic, then K = iCoo \ G is totally disconnected and K =
8K=k. (c) iC is a parabolic region. Proof. (a) Assume that 00 (j. G. Since G is not the whole plane, 800 G has at least 2 points (7.20). Let u : 8 00 G --+ [0,1] be a continuous function that assumes both the values 0 and 1. If ¢ E P(u, G), then ¢ - 1 is a negative subharmonic function. If G were parabolic, then it would follow that each function in P(u, G) is It tonstant and that u == O. Similarly, if G were parabolic, it would follow that it == 1 and so G is not solvable. (b) Assume that 00 (j. G. If K =f 8 K, then G is not dense and therefore solvable; by (a) G cannot be parabolic. Similarly, if K =f k, G is not connected and is thus hyperbolic (9.4). If K is not totally disconnected, it contains a component X that has infinitely many points. Put H = iCoo \X. Let T : H --+ JI)) be the Riemann map with T(OO) = 0 and put ¢ = log ITI. SO ¢ is a subharmonic function on H with ¢ ~ 0 and H must be hyperbolic. Therefore G is hyperbolic, a contradiction. (c) Let ¢ be a negative finite-valued subharmonic function on iC and fix two points a and b. Since limsuPz--+a ¢(z) ~ ¢(a), Lemma 7.19 implies that ¢( a) ~ ¢( z) for all z in iC; in particUlar, ¢( a) ~ ¢( b). Reversing the roles of a and b, we get that ¢(a) = ¢(b). Therefore ¢ is constant. 0
In Theorem 10.7 in the next section it will be shown that a hyperbolic region is solvable, thus establishing the converse to part (a) of the preced ing proposition. But now we concentrate on the connection of hyperbolic regions to the existence of the Green function. 9.6 Proposition. Let G be a region in iCoo and let I be a Jordan curve in G such that H = ins I ~ G. Let u denote the characteristic function of I defined on 800 (G \ cl H) with u the corresponding Perron function on G \ clH.
(a) u(z) (b) u(z)
< 1 for all z in G \ cl H if and only if G is hyperbolic. == 1 on G \ cl H if and only if G is parabolic.
Proof. By the Maximum Principle u(z) ~ 1 on n == G \ cl H. Also n is connected (why?) and so if u(z) = 1 for any point in n, it is identically 1. Thus the statements (a) and (b) are equivalent. So assume that G is
19. Harmonic Functions Hedux
250
hyperbolic and let us show that u(z) < 1 on n. Let rp be a negative sub harmonic function on G that is not constant. Without loss of generality we may assume that sup{¢(z) : z E G} = O. Put M = max{¢(z) : Z E ,}; so M ~ O. By the Maximum Principle M < O. By normalization, it may be assumed that M = -1. By Theorems 10.4.3 and 10.4.9, u(z) --> 1 as z approaches any point on ,. Since u is positive and ¢(z) ~ -Ion 'Y, -¢ E p(u, n); thus u ~ -¢ on n. Since sUPe ¢(z) = 0, there is a point a in G with ¢(a) > -1. But ¢(z) :::: -1 for all z in cl H (why?) and so a E n. Thus u(a) < 1 and so U(z) < 1 for all z.in n. Now assume that u(z) < 1 for all z in n and define ¢ : G --> R by letting ¢(z) = -u(z) for z in nand ¢(z) = -1 for z in cl H. It is left to the reader to verify that ¢ is subharmonic on G. Clearly it is negative and, by assumption, it is not constant. 0 Let us underscore the fact used in the preceding proof that the function U has a continuous extension to 'Y where it is constantly 1. 9.7 Theorem. The region G in Coo has a Green function if and only if G
is hyperbolic. Proof. We have already observed that a necessary condition for G to have a Green function is that G be hyperbolicj so assume that G is hyperbolic. Fix a in G, a =I- 00; we will produce the Green function with singularity at a. (The case where a = 00 is left to the reader.) Define u on 8oo [G\ {a}] = 8 00 Gu {a} by u(a) = 00 and u«() = 0 for ( in BoaG. Let 9 be the upper Perron function it on G\ {a} corresponding to the boundary function u. Clearly 9 is a non-negative harmonic function on G \ {a}. To see that 9 satisfies condition (b) of Definition 9.1 takes a bit of cleverness. Choose r > 0 such that B = B(aj r) ~ G and let R > r such that B(a; R) ~ G. Observe that G\B is a solvable set, let X be the characteristic function of the circle 8 B, and put h = X, the Perron function of X on G\B. So 0 ~ h :::; 1; according to the preceding proposition, h(z) < 1 for all z in G \ B. Thus m = max{h(z) : [z - al = R} < 1. Choose a positive constant M with mM < M + log(r I R) and define a function 'l/Jo on G by 1/Jo(z) =
{ M
M h(z)
z if- G \ B
+ log jz:al
z
E
B.
Claim. 'l/Jo is a superharmonic function on G. It is clear that 'l/Jo is lower semicontinuousj in fact it is a continuous function from G into Roo. The only place we have to check the integral condition is when Iz - al = r. To check this we first verify that M h(w) <
\ t ,~~
251
19.9. The Green Function
M +log[r/\w-a\] for r < Iw-al < R. Indeed, if Iw-al = r, h(w) = 1 and so Mh(w) = M = IvI + log[r/lw - al]; if \w - a\ = R, Mh(w) ~ Mm < M + log[rllw - al]. The desired inequality now holds by the Maximum Principle. Now if Iz - al = rand b < R - r, this implies that 1 -2 7f
1 2
11"
0
1/Jo(z + beiIJ ) d() :::; M
r I + log -I-
z-a
= 'l/Jo(z).
This proves the claim. Note that the function 1/Jo belongs to the Perron family p(u, G \ {a}) and so the harmonic function 9 satisfies g(z) :::; 'l/Jo(z) for all z in G \ {a}. If z E Band z =I- a, g(z) + log Iz - a\ :::; 1/Jo(z) + log Iz - a\ = M + ]ogr, a constant. Therefore g(z) + log Iz - aJ admits a harmonic extension to B(a;r). This says that 9 satisfies conditions (a) and (b) of Definition 9.1. Now to verify condition (c) of the definition. Assume that k is another function having properties (a) and (b). So k is a superharmonic function on G. Now lim z -+ a k(z) = 00 = u(a). Since k is positive, liminf z ->( k(z) 2: 0= u«() for (in 8 00 C. Therefore k E P(u,C\ {a}) and so k 2: g. Hence 9 is the Green function for G with singularity at a. 0 The next result can be viewed as a computational device, but in reality it is only a theoretical aid. 9.8 Proposition. Let {G n } be a sequence of open sets such that G n ~ C n+1 and C = UnC n is hyperbolic. If gn is the Green function for G n and 9 is the Green function for C, then for each a in C, gn(z, a) T g(z, a) uniformly on compact subsets of C \ {a}.
Proof. Fix the point a in G; we will only consider those n for which a E G n . Note that the restriction of gn+l to G n satisfies conditions (a) and (b) of Definition 9.1. Hence gn+l (z, a) 2: gn(z, a) for all z in Cn' Thus k( z, a) = limn gn (z, a) exists uniformly on compact subsets of C \ {a} and either k a is harmonic or ka == 00. But the same type of argument shows that g(z,a) 2: gn(z,a) for all n and all z in G n . Thus g(z,a) 2: k(z,a) and so k a is a harmonic function on G \ {a}. Clearly k 2: 0 and k(z, a) + log Iz - al is harmonic near a. That is, k satisfies properties (a) and (b) in the definition of a Green function. Therefore, k(z, a) 2: g(z, a). Since we have already shown that 9 2: k, we get that 9 = k, proving the proposition. 0 Recall the information obtained about the Green function for an analytic Jordan region in §15.2. In particular, Theorem 15.2.5 gives a formula for the solution of the Dirichlet problem for such regions involving the conjugate differential of the Green function. We can use this material together with the preceding proposition to obtain information about the Green function for any hyperbolic region. 9.9 Theorem. If C is a hyperbolic region, a. and b are points in G, and 9
it
";52
'"
,m_mnlllllM
!'
_ _ Ill
T""'IbSE
£zr.
I"
19. Harmonic FUnctions Redux
is the Green function for G, then g(a, b) = g(b, a).
Proof First assume that G is an analytic Jordan region with positively oriented boundary r = bo, ... , I'n}, with 1'0 as the outer boundary. Let al = a and a2 = b. For j = 1,2, put gj(z) = g(z,aj) and "7j = 8B(aj;r) with positive orientation. (Here r is chosen so that B(aj; r) ~ G and "71 n "72 = 0.) So A = bo, ... , I'n, -"71, -"72} is a positively oriented Jordan system and both gl and 92 are harmonic on the inside of A. By Corollary 15.2.3, 0 = (gidg 2 - 9:;dg1 ). Since gl and g2 vanish on r, Lemma 15.2.4 implies that
I ..
o
-1
=
'11 +'12
(g~d92 - g~dgl)
-271" g2(al) where ,B(r)
---+
0 as r
---+
O.
9.10 Proposition. If G is a hyperbolic region in C, a E G, and 9 is the Green junction for G, then inf{7jJ (z) : 7jJ is a positive superharmonic function on G such
that 7jJ(z)
+ log Iz -
253
Exercises 1. If 00 E G and a'¢. G, then g(z, 00)
-
log Iz - al is harmonic in G.
2. Use Proposition 9.2 to find the Green function for upper half plane.
]JJl
as well as the
3. If G is a hyperbolic region in eX! and 00 E G, show that g(z,oo) = inf {7jJ(z) : 7jJ is a positive superharmonic function on G such that 7jJ(z) -log Izi is superharmonic near oo}. 4. Let p(z) = zn +alZn-1 +... +an and put G = Coo \ {z E C : Ip(z) I :::; R}. Show that G is connected and g(z, 00) = n- 1 [log Ip(z)/-logR].
§10
We finish with a result that will prove useful in further developments.
=
19.10. Regular Points
+ 271" 91 (a2) + ,B(r),
This proves the theorem for the case of an analytic Jordan region. The proof of the general case follows by taking a sequence {G n } of analytic Jor dan regions such that Gn ~ Gn+ 1 and G = UnGn and applying Proposition 9.8. 0
9 (z, a)
i~_~l4iiiIJMi,Jl~am1JJl\!lll1I£ma
al is superharmonic near a}.
Proof Let 7jJ be a positive superharmonic function on G such that v(z) ==
7jJ(z) + log Iz - al is superharmonic on G. Since z ---+ 9(z, a) is a super
harmonic function having these properties, it suffices to show that 7jJ(z) :2:
ga(Z) = g(z, a) for all z in G. To this end, first note that v(a) .$liminf --+
z a [7jJ(z) + log Iz - all and so 7jJ(z) ---+ 00 as z ---+ a. Thus liminfz--+ 7jJ(z) =
a
00 = limz--+aga(z). Now let {G n } be a sequence of bounded Dirichlet regions, each of which contains the point a and such that G n ~ G n+! and G = UnG . Let 9n be n the Green function for G n with pole at a. According to Proposition 9.8, gn(Z) ---+ ga(Z) uniformly on compact subsets of G \ {a}. If 7jJn = 7jJ/G , n then for any ( in 8Gn , liminfz--+( 7jJn(Z) :2: 0 = limsupz--+( gn(Z). By the Maximum Principle, 7jJn :2: 9n on Gn and the proposition follows. 0 Additional results on the Green function can be found in Theorem 21.1.19 and through the remainder of Chapter 21.
Regular Points for the Dirichlet Problem
Here we return to some of the ideas connected with the solution of the Dirichlet problem in the classical sense. Specifically, we will study the boundary behavior of the solution of the Dirichlet problem and how this behavior collates with the actual values of the boundary function. In §1O.4 the concept of a barrier was introduced and it was shown that each point of 800 G has a barrier if and only if G is a Dirichlet region. We begin by examining more closely the idea of a barrier; in the process some of the results from §10.4 will be reproved. Recall the notation that for a in 8 00 G and r > 0, G(ajr) = B(a;r) nG.
10.1 Theorem. If G is an open subset of Coo and a E 8 00 G, then the following are equivalent. (a) There is a barrier for G at a.
(b) There is a negative subharmonic function ¢ on G such that ¢( z) ---+ 0 as z ---+ a and for every open neighborhood U of a, sup{ ¢( z) : z E G \ U} < o.
(c) For every r > 0 there is a negative non-constant subharmonic function ¢ on G(aj r) such that ¢(z) ---+ 0 as z ---+ a in G(a; r). (d) For every r > 0, if u is the solution of the Dirichlet problem on G(a; r) with boundary values ( ---+ d(a, () (d is the metric), then u(z) ---+ 0 as z ---+ a in G(a; r). (e) There is an r > 0 and a negative non-constant subharmonic function ¢ on G(aj r) such that ¢(z) ---+ 0 as z ---+ a in G(aj r).
(f) There is an r > 0 such that if u is the solution of the Dirichlet problem on G(aj r) with boundary values ( u(z) ---+ 0 as z ---+ a in G(aj r).
---+
d(a, () (d is the metric), then
~
~
254
-
~=====~-~ 19.10. Regular Points 19. Harmonic Functions Redux ""¥'=~ ~
Note: if a =1= 00, then the metric in (d) and (f) can be taken to be the usual absolute value; otherwise it is the metric of the extended plane.
Proof
In this proof it will be assumed that a is a finite boundary point of G; the proof of the case where a = 00 is left to the reader. (a) implies (b). Let Nr} be a barrier for G at a and let {rn} be any sequence of radii converging to O. Extend 'l/Jr to G by letting it be identically 1 on G \ G(a; r). Put 'l/Jn = 'l/Jr n and ¢ = Ln(-2- n )'l/Jn' By (4.6.e) ¢ is subharmonic and clearly 0 :::: ¢ :::: -1. Since 'l/Jn(z) ---T 0 as z ---T a for each n, it is easy to chec~ that ¢( z) ---T 0 as z ---T a. Finally, if r > 0 and n is chosen so that rn < r, then for z in G \ B(a; r), ¢(z) ::::: (-2- n )'l/Jn(Z) = _2- n. (b) implies (c). This is trivial. (c) implies (d). Let 0 < c < r 2 ; put BE = B(a; c). If G n aBE # 0, write G n aBE as the disjoint union of a non-empty compact set K E and a relatively open set U whose arc length as a subset of the circle is less than 27rc/r. Let 9 be the solution of the Dirichlet problem on the disk BE with boundary values rxu· Observe that 0 ::::: 9 ::::: rand 9 is continuous at the points of U with g(() = r there. Writing 9 as the Poisson integral on the disk BE it is easy to see that g(a) < c. If G n aBE = 0, let 9 =0 O. Let ¢ be as in the statement of (c) and define B : G(a; c) ---T R. by B = r(¢/o) + 9 + c, where 0 = max{¢(z) : z EKE}' Since ¢ is negative and usc, 0 < O. Note that B is superharmonic on G(a; c) and B ~ c there. Now let "l be any function in P(I( - ai, G(a;r)).
""""--"""""--F5ig
-_.
......
-;~~~~;;;.~-~ ~,......!;;,.--=-----::-;~-_._-~::
255
of the preceding paragraph is applied to the function v, we get a barrier N~:0<8:::::r}.
It is trivial that (c) implies (e) and the proof that (c) implies (d) given above shows that (e) implies (f). 0
Note that the existence of a barrier for G at any of its boundary points .implies the existence of a non-constant negative subharmonic function on G. Thus a region is hyperbolic if there is a barrier at one of its boundary points. In the next lemma it is important to emphasize that the set G is not assumed to be solvable.
10.2 Lemma. Assume there is a barrier for G at a and f is a real-valued junction defined on aooG.
(a) If f is bounded below, then lim inf j(z) :::: min {lim inf f((), f(a)} .
z--+a
(--+a
(Eo""G
(b) If f is bounded above, then
Claim. For any ( in aG(a; c), limsupz--+( "l(z) ::::: liminf z--+( B(z). In fact, aG(a;c) = (BE naG) U (G n aBE)' If ( E BE naG, then lim sUPz--+( "l(z) ::::: I( - al < c ::::: lim inf z--+( B(z). If ( E G n a BE, then limsupz--+( "l(z) ::::: rand liminfz--+( B(z) :::: r lim infz--+d¢(z)/o)+lim inf z--+( g(z )+c. If ( EKE' then this gives that lim inf z--+( B(z) :::: r+lim infz--.( g( z)+ c ~ r. If ( E U, then we get that lim inf z--+( B(z) :::: 0+ liminfz--.( g(z) +c = r + c :::: r. This proves the claim. The Maximum Principle implies "l ::::: Bon G( a; c); so if u is as in (d), then u ::::: B there. Since ¢(z) ---T 0 as z ---T a, lim sUPz--+a B(z) = lim z--+ a B(z) = g(a) + c < 2c. Thus 0 ::::: limsuPz--+a u(z) < 2c. Since c was arbitrary, u(z) ---T 0 as z ---T a. (d) implies (f). This is trivial. (f) implies (a). Let rand u be as in the statement of (f). Note that u(z) = r when z E G n a B r , so that if'l/Jr = r-1u on G(a; r) andlj;r =0 1 on G \ B(a; r), then 'l/Jr is superharmonic on G, 0::::: 'l/Jr ::::: 1, 'l/Jr(Z) ---T 0 as z ---T a, and 'l/Jr(Z) ---T 1 as z ---T ( on G n a B r . Now let 0 < s < r and let v be the solution of the Dirichlet problem on G(a; s) with boundary values I( - aI- Since Iz - al is a subharmonic function, Iz - al E P(I( - ai, G(a; r)); therefore Iz - al ::::: u(z) on G(a; r). Thus u E P(I( -ai, G(a; s)) and so v(z) ::::: u(z) for all z in G(a; s). But this implies that v( z) ---T 0 as z ---T a. But s was arbitrary, so if the argument
!!!!LLL·...'
lim supj(z)::::: max {limsUPf((),!(a)}.
z--+a
(--+a
(Eo""G
(The reason for taking the minimum and maximum in parts (a) and (b), respectively, is that the definition of the limits inferior and superior of f as z approaches a does not use the value of f at a.)
Proof It suffices to prove only part (a). Let p be the right hand side of the inequality in (a) and let m be a constant such that inf{f(() : ( E aooG} > m. We will only consider the case that a # 00. If p > (3 > m, let r > 0 such that f(() > (3 for ( in aG n B r , B r = B(a; r). Put u = the solution of the Dirichlet problem on G(a; r) with boundary values I( - al; so u(z) ---T 0 as z ---T a by the preceding theorem. If u is extended to all of G by setting u = r on G \ B n then u is superharmonic (verify!). It is easy to check that (3 - r- 1 ((3 - m)u belongs to the lower Perron family for (/, G). Thus j:::: (3 - r- 1 ((3 - m)u and so lim inf j(z) :::: lim inf [(3 - (3 - m u] = (3.
z--+a
z-+a
r
Since (3 was an arbitrary number smaller than p, we have proved the lemma.
o
19. Harmonic Functions Redux
256
,
257
19.10. Regular Points
..................••.
..1
10.3 Definition. Say that a point a on the extended boundary of an open set G is a regular boundary point for G if for every bounded function f : 800 G ---- IR that is continuous at a, lim J(z)
z---+a
= f(a) = z--+a lim j(z).
I
So the open set G is a Dirichlet set if and only if every extended boundary point of G is a regular boundary point. The next proposition was essentially proved in Theorem 10.4.3. Half the proof was given there; the other half comes from the preceding lemma. lOA Proposition. There is a barrier for G at the point a in 800 G if and III
only if a is a regular boundary point of G.
il
The next small result is an emphasis of the fact that the condition that a point a is a regular point for G is a local property. That is, this condition is only affected by the disposition of G near a. This is clear from Theorem 10.1.
'I'
II Iii
I I
10.5 Proposition. If a is a regular point for the open set G and H is an open subset of G such that a E 8 00 H, then a is a regular point for H.
I
III
1
II
II! I
II
I~I
I
II
Iij::-
Proof. It suffices to assume that G is hyperbolic and prove that it is solv able. Since G is hyperbolic, it has a Green function g; let cP(z) = -g(z, a) for some a in G. So cP is a negative subharmonic function with 0 as its least harmonic majorant (9.2). Let cPo be the negative subharmonic function as in the preceding lemma. To show that G is solvable, let f : 800 G --+ IR be a continuous function and fix an arbitrary positive c. Claim. If ( E 800 G, limz-o( sup[/(z)
+ ccPo(z)]
:s f(()·
If cP(z) 0 as z --+ (, then ( is a regular boundary point (10.1) and so j(z) --+ f(() as z (. Since cPo 0, this proves the claim in this case. In the other case, lim SUPz-o( cP(z) < 0 and so the lemma implies that cPo (z) --+ - 00 as z (. This proves the claim in this case also. But the claim implies that j + ccPo E P(j, G) and so we have that j + ccPo J f. Since c was arbitrary, J = j and so G is solvable. 0
:s
:s :s
From this point on the term "solvable set" will be dropped in favor of "hyperbolic set" since this is standard in the literature. Now let's turn our attention to a consideration of the irregular points of an open set. Recall that at the end of §10.3 it was shown that the origin is not a regular point of the punctured disk. That same proof can be used to prove the following.
10.6 Lemma. If G is a region and there is a negative subharmonic function cP on G whose least harmonic majorant is 0, then there is a negative subhar 10.8 Proposition. If G is an open set and a is an isolated point of 8 00 G, monic function cPo on G that is not identically -00 such that if ( E 8 00 G then a is an irregular point of G. and limsupz-o( cP(z) < 0, then cPo(z) ---- -00 as z ---- (. 10.9 Proposition. If G is an open set and a E 800 G, then a is a regular Proof Let {G n } be a sequence of smooth Jordan regions with cl G n <:;:; point if and only if for every component H of G either a is a regular point Gn+ 1 and G = UnG n . For each n define the function cPn on G by cPn = cP on G \ G n and cPn = the solution of the Dirichlet problem on G n with of H or a 1:- clooH.
boundary values cPl8G n . According to Corollary 8.3 and the hypothesis, Proof. Assume a is a regular point of G; let r > 0 and let cP be a negative
cPn(Z) --+ 0 as n --+ 00. Fix a point a in G; passing to a subsequence if non-constant subharmonic function on G(a; r) such that cP(z) ---- 0 as z --+ a.
necessary, it can be assumed that Ln IcPn(a)! < 00. By Proposition 4.6.e, If H is a component such that a E clooH, then a E 8 00 H and cP1 = cPIH(a; r)
cPo(z) == L n cPn(z) is a negative subharmonic function; by construction it is a non-constant negative subharmonic function such that cP1 (z) ---- 0 as
is not identically -00. z --+ a. Now fix a point ( in 8 00 G and assume that limsupz-o( cP(z) < O. Let For the converse, it only makes sense to assume that G is not connected. r> 0 such that cP(z) :s: -0 < 0 for z in G«(; r). Let n be an arbitrary but So each component of G is a hyperbolic region. Let {Hn } be the com fixed positive integer. There is an r n < r such that B«(; r n ) n cl G n = 0. ponents of G and for each n let h n be defined on 800 H n by hn (() = If z E G«(; r n ), then for 1 :s: m :s n, cPm(z) = cP(z) :s -0. Thus cPo(z) :s min{d((, a), lin}. Let Un be the solution of the Dirichlet problem on H n L:=l cPm(z) :s -no for z in G«(; r n ). Since n was arbitrary, cPo(z) --+ -00 with boundary values hn . Note that if a E 8 00 H n , then a is a regular point as z (. 0 of H n by assumption and so un(z) ---- 0 as z ---- a. Define u on G by letting U = -Un on H . So u is a non-constant negative harmonic function. n Now for the promised converse to Proposition 9.5. Claim. limz-o a u(z) = o. 10.7 Theorem. If G is a region in Coo such that 8 00 G has at least two points, then G is solvable if and only if it is hyperbolic.
19. Harmonic Functions Redux
To see this, let c > 0 and choose no > c- 1 . For 1 :S n :S no, let r > 0 n such that either B(aj rn)ncL:x)Hn = 0 or un(z) < c for z in Hn(aj rn). Thus lu(z)1 < c for z in G(a;r), where r = min{rn : 1 :S n:S no}. By Theorem 10.1, a is a regular point of G. 0
§11
10.10 Corollary. If {Hn } are the components of G, then every point in aooG \ UnaooHn is a regular point.
,1'
1IJl
Proof. Assume a is an irregular point and let {Hk } be the collection of those components of G such that a belongs to their boundary. The pre ceding corollary says that this is a non-empty collection. Suppose there is more than one such component. If k is arbitrary and j i- k, then a E clooHj ~ Coo \ H k and clooHj is connected. By Theorem 10.4.9 this implies a is a regular point of H k for each k 2: 1. By Proposition 10.9, a is a regular point of G, a contradiction. 0
10.12 Corollary. If a E aooG and there is a component H of G such that
a is a regular point of H, then a is a regular point of G.
Proof. If a were an irregular point of G, then the preceding proposition would imply that H is the unique component of G that has a as a bound ary point. Thus the assumption that a is regular for H contradicts the assumption that it is irregular for G. 0
Later (§21.6) we will return to an examination of irregular points. Exercises 1. Let G = ID>\ [{O}UU;:l D n], where D n = B(an;rn ) with 0 < an < 1 and the radii r n chosen so that r n < an and the disks {D } are n pairwise disjoint. Show that G is a Dirichlet region. 2. Let G = ID> \ U:=l D n , where {D n } is a sequence of pairwise disjoint closed disks such that the accumulation points of their centers is precisely the unit circle, ID>. Show that G is a Dirichlet region.
a
The Dirichlet Principle and Sobolev Spaces
In this section a classical approach to the Dirichlet problem is explored. The idea is that if G is a region and if f is a function on aG, then the solution of the Dirichlet problem with boundary values f is the function u on G that "equals" f on the boundary and minimizes the integral IVul 2 dA. .This will be made precise and proven as the section develops. We begin by defining a Sobolev space that is suitable for our needs. We will only scratch the surface of the theory of Sobolev spaces; indeed, we will use little of this subject other than some of the elementary language. A fuller introduction can be found in Adams [1975] and Evans and Gariepy [1992]. Recall that C;:O is the collection of infinitely differentiable functions on C that have compact support.
J
So in a search for irregular points it suffices to examine the boundary points of the components of G. The next proposition says that in such a search we can ignore those points that belong to the boundary of more than one component. 10.11 Proposition. If a E aooG and a is an irregular point, then there is a unique component H of G such that a E aooH.
259
19.11. The Dirichlet Principle
11.1 Definition. If ¢, 'ljJ E C;:O, define
(¢, 'ljJ)
=
j ¢1jj dA + j a¢a'ljJ dA + j 8¢a1jj dA
and let wl = Wl(q be the completion of C;:O with respect to the norm defined by this inner product. Of course it must be shown that (-, .) defines an inner product on C;:O, but this is a routine exercise for the reader to execute. (Recall that a'ljJ = 81jj and a1jj = 8'ljJ). To record the notation, note that
11¢1I 2= II¢II~~ = j[[¢1 2+ la¢1 2+ 18¢J2]dA. The space wl is an example of a Sobolev space. The superscript 2 in Wl is there because we have used an L 2 type norm. The subscript 1 refers to the fact that only one derivative of the functions is used in defining the norm. The first task is to get an internal characterization of the functions that belong to Wf. The term weak derivative of a function u will mean the derivative of u in the sense of distributions.
11.2 Theorem. A function u belongs to wl if and only if u E L 2 and each of the weak derivatives au and 8u is a junction in L 2 • Proof. First assume that u E Wl and let {¢n} be a sequence in C;:O such that Ilu - ¢n II -. 0 as n -. 00. This implies that ¢n -. u in L 2 and that {a¢n} and {8¢n} are Cauchy sequences in L 2 • Let Ul and U2 E £2 such that a¢n -. Ul and 8¢n -. U2 in the L 2 norm. If 'ljJ E C;:O, then J Ul 'ljJ dA = limn J(a¢n) 'ljJ dA = -limn J ¢na'ljJ dA = - Ju a'ljJ dA. Hence Ul = au, the weak derivative of u. Similarly U2 = 8u.
260
19. Harmonic Functions Redux
Conversely, suppose that u, 8u, and au belong to £2. For each n 2': 1, let in E c,:, such that 0 ~ in ~ 1, fn(z) = 1 for Izi ~ n, in(z) = 0 for Izi 2': n + 1, and 18inl, lafnl ~ 2 throughout C. Let Un = ufn; so Un has compact support, Un E £2, and Un ---.. u in £2. Also the weak derivative 8un = (8fn) u + fn(8u) and fn(8u) ---.. 8u in £2. On the other hand 1
2 (8fn) ul dA
=
11>(x + iyWdx
from which we get that 2 /1¢1 dA
=
Jn5.l z l5.n+l
/
<
41
---..
0
<
2
luj dA
C';' (G) in
/[X
[r
} -R
2
/
[18¢1
2
2
+ 1~¢12]
+ la¢1 2]
dA
dA.
wi (G) =
the closure of
(u,v)c = / 8u8vdA+ / au BvdA. o
Wi
o
Wi.
alent to the one inherited from When discussing always use the inner product (11.5).
wi (G) we will almost
wi
o
wi
Now to prove a few facts about the functions in and (G). Most of these results are intuitively clear, but they do require proofs since their truth is not obvious.
11.6 Lemma. If u E
2
18¢1 dA + / la¢1 dA] .
wi such that:
u* in
wi with weak derivative 8 1 u, then there is a junction
(i) u* = u a.e. [Area]; (ii) 8 1 u*
=
8 1u a.e. [Area];
(iii) u* is absolutely continuous when restricted to a. e. line pamllel to the real axis.
8 1 1>(t + iy) dtl
R
<
[181 ¢1
The norm on (G) is denoted by Ilullb = (u,u)c. By the preceding proposition, the inner product defined in (11.5) is equiv
To this end, let Q be an open square, Q = {z : iRe zl < R, 11m zl < R}, that contains the closure of G. If 1> E C':'(G) and 8 1 ¢ is its derivative with respect to the first variable, then for z = x + iy
1¢(z)1
k
wi. The inner product on wi (G) is defined by
11.5
[/18¢ 12 dA+ /la¢ 12 dAJ.
[/
2
o
Clearly it suffices to show that there is a constant M such that
~M
4R
o
11.3 Proposition. IfG is a bounded open set in C, then there is a constant M > 0 such that for all ¢ in C,:, (G)
/ 1¢1 dA
2 1¢1 dA
11.4 Definition. For a bounded open set G, let
wi
2
2
181 1>(x + iy)1 dx,
The preceding inequality is called the Poincare Inequality.
Now to give another inner product that is equivalent to the original when we restrict the supports to lie in a fixed bounded set. This is done in the next proposition, though the definition of this new inner product comes after this result.
2
f:
o
Wi.
2
k 8R
Wi
II¢II~{ ~M2
~ 4R2
n5.lzl5.n+1
as n ---.. 00. Hence 8u n ---.. 8u in £2. Similarly aU n ---.. au in £2. This under the additional argument shows that it suffices to show that u E assumption that u has compact support. Now let {1>.j be a mollifier. Since u has compact support, ¢e * U ---.. u in £2 and ¢e * U E c,:, (18.3.6). Since 8u E £2 and has compact support, 8(1)" * u) = 1>" * 8u ---.. 8u in £2. Similarly a(¢e * u) ---.. au in £2. Hence 1>e * u ---.. u in 0
Proof.
f:
Thus
1(8fn) ul 2dA
(
261
19.11. The Dirichlet Principle
2
1 dt
< ..;2R [
R
J1/2 [ Lr 181 ¢(t + iy)1 2 dt J1/2 r
[R 181¢(t + iy) dtl 2
As in the proof of Theorem 11.2, it can be assumed that u has compact support. Since 8 1 u E £2 and has compact support, 8 1 u E £1. This implies that for a.e. y in ~, the function x ---.. 8 1 u( X + iy) is an integrable function on R Define u* on C by Proof.
f
] 1/2
u*(x + iy) =
["00 8 u(t + iy) dt 1
262
19. Harmonic Functions Rednx
when this integral exists. Thus u* is absolutely continuous on almost every line parallel to the real axis and fltu* = 01U a.e. [Area]. It remains to show that u* = u a.e. [Area]. Let f and 9 be functions in Cgo(lR) with f(x) = 1 in a neighborhood of Re(supp u) and 9 arbitrary. Let ¢(x+iy) = f(x)g(y); so ¢ E C;;o(C). Thus J ¢(Ol U) = - J(Ol¢)U = 0 since 01¢ = f'(x)g(y) = 0 in a neighborhood of Re(suppu). Therefore
o
=
J
¢(Ol U) dA
I: [I: g(y)
01U(X + iY)dX] dy.
263
19.11. The Dirichlet Principle
11.8 Lemma. If u E Wl and u is real-valued, then for every constant s :2 0 the function Us == min(u, s) E wl and Ilusll :::; Iluli. In particular u+ = max(u,O) = -min(-u,O), u- = -min(u,O), and lui = u+ + u belong to Wl.
Proof. Let u* be the function obtained in Lemma 11.6. Thus u; = min(u*, s) is absolutely continuous on the same lines as u*. Also 01 u; = 01 U a.e. [Area] for < sand 01 = 0 a.e. [Area] for > s. On the set where u; = s it is not difficult to show that 01 u; = 0 a.e. [Area]. Thus 01 u; E £2. But u* = u a.e. [Area] so u* = Us a.e. [Area]. Thus 01Us E £2; similarly 02Us E £2. Since Us clearly belongs to £2, we have that Us E wl by Theorem 11.2. The proof of the remainder of the lemma is left as an exercise. D
u;
u;
u;
But 9 was arbitrary so we get that
I:
11.7
o
01 U(X + iy) dx
11.9 Proposition. Let G be a bounded open set. Ifu EWf (G), then u = 0 a.e. [Area] on C \ G. If u E Wf and u is zero off some compact subset of
=0
o
G, then u
for almost all y in R Now if ¢ is any function in C;;o(C), then using integration by parts with 01 = ¢,
J
¢u*dA
I: [I: I:
{[(X+i Y )
-I:
IX IX
¢(x + iy)
oo
oo
01 U(t + iy) dtdX] dy
01 U(t+iY)dt]:_oo
(x + iY)Ol U(X
+ iy) dX}
dy.
J
¢u*dA = -
Jo
l ud A.
If 'ljJ is a function in C;;O (C) such that 'ljJ then
J
¢u*dA
o
Proof. First assume that u Ewl (G) and let {¢n} be a sequence in C;;O (G) such that II¢n - ull ----> o. So in particular, J I¢n - ul 2 dA ----> O. By passing to a subsequence if necessary, it can be assumed that ¢n ----> u a.e. [Area]. Since each ¢n vanishes off G, u = 0 a.e. [Area] off G. Now assume that u E wl and u = 0 off K, a compact subset of G. It suffices to assume that u is real-valued. By Lemma 11.8 it also can be assumed that u :2 0 and u is bounded. If {¢,,} is a mollifier, then ¢€ * u E C;;O (G) for all sufficiently small E. It is left to the reader to use Proposition 18.3.6 and the fact that o( ¢€ * u) = ¢€ * au and 8( ¢€ * u) = ¢€ *8u to show that II¢€
Now apply (11.7) to get
= 1 in a neighborhood of supp u,
-J J J
'ljJ01 U dA
01 ('ljJ)u dA
¢u dA.
Since ¢ was arbitrary, u* = u a.e. [Area]. D
Ewl (G).
* u - ull
o
---->
O. Hence u
Ewl (G).
D
The preceding result can be improved siginificantly to give a charactero
wl (G). Using the notion o E wl, then u Ewl (G) if
ization of those functions in Wf that belong to
of capacity (§21.7) it can be shown that if u and only if u is zero off G except for a set having capacity zero. This result exceeds the purpose of this book and will be avoided except for its role in justifying a certain point of view, which we now examine. The interested reader can see Bagby [1972] or Aleman, Richter, and Ross [preprint] for another description. Now we return to the study of the Dirichlet problem. The idea here is to use the preceding proposition to replace or weaken the idea of two functions having the same boundary values. Specifically we will say that o
two functions u and v in Wl agree on oG if u - v E wl (G). (Of course the functions will be restricted in some further way.) Since Proposition 11.9
=-
1P'
£~~~~~Lifift.~-'-'.'_fII'!~.::;~::~~;~~~~~~'~r~
264
19. Harmonic Functions Redux
. '
says that u - V is 0 a.e. on C \ G, this is safe. In light of the referred r e s u l t , : that u - v must vanish on the complement of G except for a set of capacity ~
0, the stability of.th~ grou~d o~ wh~ch this state.ment is ~ased is increased. . ~nother essential mgredlent m thIS m~thematIcal stew IS the next pro~osltIOn. A small abuse of the language wIll be employed here; for a functIOn u in Wf we will say that u is harmonic (or analytic) on the open set G if u is equal a.e. [Area] on G to a function that is harmonic (or analytic) on G.
11.10 Proposition. If u E W 12 and G is a bounded open set, then u is
l
;'!(\. .1. ;'... :
. .. • ,"
19.11. The Dirichlet Principle
265
su~scri~ts
the. G and 0 from the notation for the norm and inner product whIle m thIS proof.
0 (a) Since u is harmonic on G, the precedin~ cor?llary imp~ies u.l.Wf
(G). Thus Pf = P(f _ u) + Pu = u. Hence If v IS .as descnbed m (a),
Ilull = IIPfl1 = IIP(f _ v) + Pvll = IJP v ll5: Ilvll, provmg (a).
O 1C 11 11' (b) Now assume that u = Pf EW12 (G) . oBy oro ary 11. , u IS harmonic on G. Also P(u - f) = 0, so u - f EWr (G). 0
o
harmonic on G if and only if for every v in Wf (G)
= j[8uafj + au8V]dA = O.
Can the Dirichlet Principle be used to solve the Dirichlet problem? The answer is yes if the region G and the boundary values are suitably restricted. Indeed this was the classical way in which the Dirichlet problem was solved. Let's look more closely at this. First, as we mentioned before, the condition
First notice that in the above integral the fact that the function
that u - f EWr (G) says that u and f agree on 8G. So if we are given a continuous function 9 on 8G, we would like to get a region 0 containing cl
(u, v)a
o
Proof.
o
v belongs to Wr (G) implies that it is 0 off G and so the integral can be taken over G. Consider u as a distribution on G. For any ¢ in C;?"(G) (u, ¢)a
= -288u(¢).
o
G and a function f in Wf (0) that agrees with 9 on 8G. This is not always possible if 9 is only assumed continuous. Let 9 E C (8 J!))); we want to get a region 0 that contains cl J!)) and a o
Thus the condition in the proposition is equivalent to the condition that 88u = 0 as a distribution on G. According to Weyl's Lemma (18.4.10) this is equivalent to the condition that u is harmonic on G. 0 11.11 Corollary. If G and!1 are bounded open sets with cl G ~ 0 and o
0
u EWr (!1), then u is harmonic on G if and only ifu l.Wr (G).
11.12 Dirichlet Principle. Let G and 0 be bounded open sets with cl o
G ~ !1 and let f EWr (!1). o
0
(a) Ifu EWf (0) such that u is harmonic on G and u - f EW12 (G), then L[l8u 12
+ au 2]dA 5: [[18v I2 + 18v12]dA l
function fin Wf (0) with f18][Jl = g. Clearly we can take 0 to be an open disk about 0 with radius> 1. Thus J~7r: 18 f(re i ())1 2dB < 00 for almost all r, o 5: r < 1 +10. It is left as an exercise for the reader to show that this implies (is equivalent to?) the statement that g( eiO ) has a Fourier series L: e,.,e i () with L: \nllcn l2 < 00. Clearly there are functions in C(8][Jl) that do not have such a Fourier series, so without a restriction on the boundary functions the Dirichlet Principle cannot be used to solve the Dirichlet problem. Once the boundary function is restricted, however, the Dirichlet Principle does give the corresponding solution of the Dirichlet problem. Before seeing this, the stage must be set. 11.13 Lemma. If G is a Jordan region and
< Do
= min{diam 'Y : o
'Y is a boundary curve of G}, then for every a in 8 G and all ¢ in
l
{
Wf (G),
[I8¢1 2 + la¢J2]dA.
1¢1 2dA 5: 81l'2821
} B(a:6)
o
~
B(a:6)
0
for all v in Wr (!1) such that v - f EWf (G). o
(b) If u is the orthogonal projection of f onto Wf (G) 1-, then u is harmonic o
on G and u - f EWr (G). o
Proof·
0
Let P denote the orthogonal projection of Wr (0) onto Wf (G)1-. o
Note that for functions
w in Wf
(G),
Ilwlle = Ilwllo.
We therefore drop
Proof. Without loss of generality we may prove the lemma for functions ¢ that belong to C;?" (G). Fix a in 8G and let 'Y be the component of 8G that contains a. If 0 < 8 < 80 , 8B(a;~) n'Y =J 0. For ¢ in C;;o(G), since support ¢ ~ G for each r, 0 < r < ~, there is a Br with ¢(a + rei()r) = O. Hence
'() = 1()8¢
¢(a + ret )
8B (a
()r
,
+ rett)dt.
_n _.,,_"__.__ .
266
itltlliiUIiIR
19. Harmonic Functions Redux
Applying the Cauchy-Schwarz Inequality and extending the interval of in tegration gives
Thus
+ re i9 W
271'
Jor
I¢(a
+ re io)1 2de::;
471'2
27r
Jr o
Observe that 2[1a¢12 27r 1o
27r
I¢(a
I¢(a
::;
I
a¢ ae (a 27r
Jr o
I
a¢ ae (a
2 1
dt.
+ reit )
+ 18¢1 2] = r- 2[1a¢/aeI 2 + la¢/arI 2].
+ reioWdO
::; 471'2 D2 127r 11 2" -a ¢ (a 0 r ae
Now integrate with respect to r dr with 0
r
+ re it )
1¢1 2 dA
r 871'2D2 r
< 471'2 D2
JB(a:6)
JB(a:6)
<
2 1
dt.
Now for r
+ re it )
< D,
2 1
dt.
< r < Dand we get 1
..._,"."_.
..
.. ~:L?<4J.~
_.-J;"~JIi!I!II~
WET.!!:'1!?lE
.J!.I!!!! ilffi£i!ffiRI!i!i
..
19.11. The Dirichlet Principle
11"!!~m_
267
v ~ u so that, in fact, v = u. This proves the lemma whenever f is such a polynomial. Now let f be any polynomial in z and z and choose a constant c > 0 such that f + clzl 2 is subharmonic in a neighborhood of cl G (see the proof of Theorem 7.15). Let V n (respectively, v) be the solution of the Dirichlet problem on G n (respectively, G) with boundary values clzl 2. According to the preceding paragraph, un(z) + vn(z) --t u(z) + v(z) for all z in G. But clzl 2 is also subharmonic, so again the preceding paragraph implies vn(z) --t v(z) for all z in G. Thus the lemma holds for all polynomials. Now let f be arbitrary and let 6 > 0; pick a polynomial p such that If(z) - p(z)1 < 6 for all z in cl G. Let V n (respectively, v) be the solution of the Dirichlet problem on G n (respectively, G) with boundary values p. Now on aG n , p - 6 ::; f ::; p + 6; hence V n - 6 ::; un ::; V n + 6 on G n . Similarly, v - 6::; u ::; v + 6 on G. It follows that lu - unl ::; Iv - vnl + 26 on G n and so the lemma holds. 0
2
The preceding lemma will be generalized in Theorem 21.10.9 below.
a¢1 dA r ae
1 2
[la¢1 2 + 18¢1 2]dA.
o
JB(a:6)
The reader will note similarities between the proof of the next lemma and that of Theorem 7.15.
11.14 Lemma. Let G be a bounded region, let {G n } be a sequence of Jordan regions such that cl G n ~ G n+! for all nand G = unGn , and let f be a continuous function on cl G. If u is the solution of the Dirichlet problem for G with boundary values flaG and, for each n, Un is the solution of the Dirichlet problem for G n with boundary values flaG n , then un(z) --t u(z) for all z in G.
Proof. Fix ao in G 1 ; it will be shown that un(ao) --t u(ao). The proof is obtained by considering several special classes of functions f. In each such case u and Un are as in the statement of the lemma. First assume that f = p, a polynomial in z and z that is subharmonic in a neighborhood of cl G. For each n ~ 1 define V n : C --t C by letting V n = P on C \ Gn and letting V n = Un on G n . So V n is subharmonic on C; since G n is a Dirichlet region, V n is also continuous. By the Maximum Principle, V n ~ P on G n · Because cl G n ~ G n+1 , another application of the Maximum Principle implies that V n ::; V n+! on C. Moreover, each V n belongs to the Perron family P(p, G) and so, on G, V n ::; P, the solution of the Dirichlet problem on G with boundary values p. Thus v(z) == limn vn(z) = limn un(z) is a harmonic function on G and v ::; P = u. On the other hand, we have that V n ~ P on G n so that v ~ p on G and, hence, v E p(p, G). Thus
11.15 Theorem. Let G be a bounded region, let 0 be an open set with cl o
G ~ 0, and assume that f EWf (0) such that f is continuous on cl G. If o
0
u is the orthogonal projection of f onto Wf (o)n Wf (G)l.., then u is the solution of the Dirichlet problem on G with boundary values f. Proof. We already know from the Dirichlet Principle that u is harmonic on G. We first prove this theorem for the case that G is a Jordan region. Then Lemma 11.14 can be used to prove it for arbitrary bounded regions. The assumption that G is a Jordan region guarantees that every point of aG is a regular point; so we need to show that, for each a in aG, u(z) f(z) --t 0 as z --t a with z in G. So fix a in a G and let Do be as in Lemma 11.13; let f > 0 be arbitrary. Since f is uniformly continuous on cl G, there is a Dl > 0 such that If(z) - f(w)1 < 6 for z,w in cl G with Iz - wi < Dl. Now let Dbe less than both Dl and Do/2; Dwill be further restricted later in such a way that it only depends on the point a. Fix z in G with Iz - al < D. Letting D2 = dist(z, aG) ::; Iz - ai, the Mean Value Property of harmonic functions implies u(z) - f(z)
11.16
= -2 1 71' D2
~ 71'
1
udA- f(z)
r
(u - f) dA -
B(z:6 2 )
D2 J B(z:6 2 )
~ 71'D
r
[f - f (z)] dA
J B(z:6 2 )
Now If(w) - f(z)1 < 6 for all win B(z; D2) so the absolute value of the last of these two summands is less than 6. Also the Cauchy-Schwarz Inequality
iiii!!!!.._.. u .•n__•
GM
.,,'~_._
v._••_ -~~_ Uf6id
A_.
_ . _ . _ _ .•
_~2T? ~
n •
• _ _. _
~~L_."
__,_
_
._,_v!!".,_
.:':'A"?H_...,. c ::__:.~,.":~i&.!'f~~~~~~,~JI-.~"I~{;~~~~li.~~~~
~ .. _,,~-~._
~
·
A .•
"·
'T_.,.o;~_.h"~."'~__ -"'''"''~~~
19. Harmonic Functions Redux
268
gives that
I
r
(u - I)dA\2
) B(z:62)
Now B(z; 82 ) ~ B(a; 28) and 28 the preceding inequality into
r
2
(u -.:. I)dAI
) B(z:62)
I
.,..~,,-~ .. ,.,,",,,,,,'
~ 7[(5~
Chapter 20
r
]u - fl 2d A.
) B(z:62)
Hardy Spaces on the Disk
< 80 , Using Lemma 11.13, this transforms
~ 71"8~ r
lu - f1 2dA
) B(a:26)
< 3271" 3 8i
r
[18(u - 1)1 2 + 18(u - fW]dA.
) B(a;26)
Using (11.16) this gives
lu(z) - f(z)1
In this chapter the classical theory of the Hardy spaces on the open unit disk will be explored. The structure of the functions belonging to the spaces HP will be determined, and this will be applied to characterize the invariant subspaces of multiplication by the independent variable on a Hardy space.
§1
~ )3271" [ r
Definitions and Elementary Properties
1
2
[I8(u - 1)1 2 + 18(u - 1)1 ]dA] "2
+ C.
) B(a;26)
Here we introduce the Hardy spaces HP of analytic functions on the open unit disk.
Because 8( u - I) and 8( u - I) are square integrable, 8 can be chosen sufficiently small, depending on a, that lu(z) - f(z)1 < 2c when \z -al < 8. This proves the theorem for the case that G is a Jordan region. The details in applying Lemma 11.14 to obtain the arbitrary case are left to the
1.1 Definition. If define
reader. 0
also define
f : j[J)
---->
1
1. Show that 8¢8'l/; + 8¢8¢ = ~ (\7¢ . \7¢) for ¢ and 'l/; in C'(". o
2. Show that if u E
Wl
and ¢ E C~(G), then
cPu EWl
(G).
o
3. Prove a version of Lemma 11.8 for functions in
wl
(G).
r
Mp(r, I) == [ 271")0 Moo(r, I)
Exercises
C is a measurable function and 1 2rr
i8
~
P
<
00,
] lip
If(re )IPdB
;
== sup{lf(rei8 )1 : 0 ~ B ~ 271"}.
For any value of p, 1 ~ p ~ 00, let HP denote the space of all analytic functions on j[J) for which Ilfll p == sUPr<1 Mp(r, I) < 00. If f : j[J) ----> C and 0 < r < 1, denote by fr the function defined on 8 j[J) by fr(z) = f(rz) (as in §19.1). Thus for any such r, Mp(r, I) is the LP norm of fr' From this observation it follows that II· lip is a norm on HP. In fact, we will see that HP is a Banach space (1.5). Also from standard V' space theory, HP ~ Hr ~ HI if 1 ~ r ~ p. In particular H oo is the space of bounded analytic functions on j[J) and H OO ~ HP for all p. The same definition applies for 0 < P < 1, though the "norm" for this range of values of p must be redefined (without taking the p-th root). This will not be pursued here. The interested reader can consult Duren [1970], Hoffman [1962], or Koosis [1980] for this topic. 1.2 Proposition. If f : j[J) ----> C is an analytic function and 1 then Ilfll p = limr-.l- Mp(r, I). Proof.
~
P
~ 00,
Assume that p is finite. From Example 19.4.16 we know that z
---->
-
_._,..
------
~:.
20. Hardy Spaces
270
I
I
[I
I
ii ! !
'[
271
20.1 Elementary Properties
If(zW is a continuous subharmonic function and so (19.4,9) Mp(r, f) is an increasing function of r. Therefore the supremum must equal the limit. By the Maximum Modulus Theorem Moo(r, f) is also an increasing func tion of r. Thus the proposition also holds for p = 00. 0
since the series converges uniformly in w. Therefore
Note that if f E HI, then, by Theorem 19.2.12, there is a measure fL on aID such that f = ji,. Also if 1 < p ~ 00 and f E HP, then f = 9 for some gin LP(aID). Moreover in the case that p > 1, fr --> g a.e. [m] as r --> 1. In particular, each function in HP, 1 ~ p ~ 00, has non-tangential limits at almost every point of aID. There are two questions that occur here. First, when p > 1, which func tions gin L p can arise in this way? Note that when we answer this question we will have identified HP with a certain subspace of LP and thus have the possibility of combining measure theory with the theory of analytic func tions. The second question concerns the case when p = 1. Here the theory becomes more subtle and difficult. If f E HI, then Theorem 19.2.12 says that the radial limit function 9 for f exists and 9 = the Radon-Nikodym derivative of fL with respect to m, where f = ji,. It will turn out that fL is absolutely continuous with respect to Lebesgue measure so that, indeed, f = g. This is the F and M Riesz Theorem proved in §3 below. For now we content ourselves with complete information when p > 1 and partial information when p = 1. Recall (18.7.1) that for any function f (respec tively, measure fL), j (respectively, p,) denotes the Fourier transform of f (respectively, fL).
since, by hypothesis, j(n) = 0 when n < O. Thus i has a power series expansion in ID and so is analytic on JI). Also for 1 ~ p < 00, Ilir - flip --> 0 as r --> 1- (19.1.4). If p = 00, then Ilirlloo ~ Ilflloo. Hence, in either case, sUPr Mp(r, = SUPr Ilirllp < 00 and so i E HP. The remaining details are easily deduced from Theorem 19.1.4. 0
1.3 Theorem. If 1 ~ p ~ 00 and f E LP such that j(n) = 0 for n then f, the Poisson integral of f, belongs to HP. Moreover:
< 0,
(a) Ilfllp = Ilfll p; (b) if 1 ~ p <
(c) if p
= 00,
Proof. Hence
If z
00,
ir
=
Ilfr - flip
-->
re
ifJ
i(z)
-->
0 as r
f weak* in L
= 1, then
J J f=
Pz(w)
= 2::=-= rlnleinfJWn.
rlnleinfJwn dm(w)
n=-oo
f= n=~oo
rlnleinfJ
J
f(w)w n dm(w),
rlnleifJ j(n) = L
n=-oo
j(n)zn
n=O
i
i)
What about the converse of the preceding theorem? Here is where we must assume that p > 1 and postpone consideration of the case where p = 1 until later. Suppose that f E HP, 1 ~ p ~ 00, and let 9 be the non tangential limit function of f. That is, g(w) = limf(rw) = limfr(w) a.e. [m] on aID. By Theorem 19.2.12, 9 E LP. Now if 1 < p < 00, Ilfr -gllp --> O. Thus g(n)
J
g(w) w n dm(w)
=
r~T-
J
n fr(w) w dm(w)
lim jr(n).
r~l-
But f(z) = 2:~ anz n for Izi < 1, with convergence uniform on proper subdisks of ID. It follows (how?) that jr(n) = anr n if n 2: 0 and jr(n) = 0 if n < O. Therefore g(n) = an if n 2: 0 and g(n) = 0 if n < O. By Theorem 1.3, 9 E HP. But also (see the proof of Theorem 1.3) for Izi < 1, g(z)
f(w) Pz(w) dm(w) f(w)
L
1-;
= as r --> 1-.
E ID and Iwl
=
-->
=
= i(z) =
=
=
Lg(n)zn o
=
=
Lanzn. 0
Hence 9 = f and the desired converse is obtained. If p = 00, then it is not necessarily true that fr --> 9 in L oo norm, but it is true that fr --> g weak* as r --> 1-. Since w n E L 1 for every n, the argument of the preceding paragraph shows that g( n) = 0 for n < 0 and 9 = f· This discussion can be summarized as follows. 1.4 Theorem. If 1 < p ~ 00 and f E HP, then g(w) = limr-d_ f(rw) defines a function 9 in LP with g( n) = 0 for n < 0 and 9 = f.
These last two theorems establish a correspondence between functions in HP (defined on ID) and the functions in r(P :=:
{f
E
LP : j (n) = 0 for n
< O},
20. Hardy Spal:es
272
but only when p > 1. Now it is easy to see that 'H P is a closed subspace of LP and we are led to the following. 1.5 Theorem. If 1 < P ~ 00, then the map that takes f in HP to its boundary values establishes an isometry of HP onto the closed subspace 'H P of LP. Thus HP is a Banach space. For p = 2, HP is a Hilbert space with {I, z, Z2, ...} as an orthonormal basis. For p = 00, Hoo is the dual of a Banach space since 'H oo is a weak* closed subspace of L OO • Because of this ~esult we can identify the functions in HP, 1 < P ~ 00, with their radial or non-tangential limits. Henceforward this identification will be made without fanfare. In §3 we will prove this assertion for p = 1; but first, in the next section, we will investigate another class of analytic functions on ][]). This information will be used to derive the correspondence between HI and 'HI.
20.2. The Nevanlinna Class
273
2.1 Definition. A function f is in the Nevanlinna class (or of bounded characteristic) if f is an analytic function on ][Jl and
1 2
sup - 1
27f
r
71'
log+ If(reill)1 dO <
00.
0
The Nevanlinna class is denoted by N. Note that since log+ If(z)1 is a subharmonic function (Example 19.4.7) and is also continuous, 2~ J~7I' log+ If(re'iO)1 dO is an increasing function of r (19.4.9). Thus the definition of a function in the Nevanlinna class can be weakened by only stipulating the finiteness of the supremum over a sequence {rn} with r n ---; 1. Also sup - 1 r
27f
1271' log+ If(re'O)1 , dO = 0
lim - 1 r---+I-
1
27f
2 71'
, log+ If(re,o)ldO.
0
Since log x ~ x P for x ::::: 1, we have the following.
Exercises
~
2. Let A = {f E C(&][Jl) : j(n) = 0 for n < O}. If f E A, show that its Poisson integral, j, is an analytic function on ][]). Also if 9 : cl ][]) ---; C is defined by g(z) = j(z) for Izl < 1 and g(z) = f(z) for Izi = 1, then 9 is continuous. Conversely, if 9 is a continuous function on cl ][]) that is analytic on][Jl and f = gl&][Jl, then g(z) = f(z) for Izi < 1. (See §4.)
Thus every result for the Nevanlinna class is a result about functions belonging to all the Hardy classes. Our immediate goal is to give a charac terization offunctions in N (Theorem 2.10 below) and to study the zeros of these functions. In the next section we will obtain a factorization theorem for this class. We begin with an elementary but important result.
3. Give a direct proof that HI is a Banach space.
2.3 Lemma. If {an} is a sequence in ][]), the following statements are
Z)-I
fI- HI.
5. If 1 ~ P < 00 and lal < 1, define La : HP ---; C by La(f) = f(a) for all f in HP. Show that La E (HP)* and IILal1 = (1 - laI 2)-I/p. For p = 2, find the unique function k a in H2 such that La(f) = (f, k a ) for all fin H2. 6. Prove Littlewood's Subordination Theorem: If f and 9 are analytic functions on ][]), f is subordinate to 9 (17.1.1), and 9 E HP, then f E HP and Ilfll p ~ Ilgll p •
§2
The Nevanlinna Class
In this section we will study another collection of analytic functions which is not a Banach space but includes all the Hardy spaces HP.
then HP
~
2.2 Proposition. If 1
4. Show that (1-
p
~ 00,
1. Supply the details in the proof of Corollary 1.5.
N.
equivalent.
(a) (b)
2:::=1 (1
- lanl) <
n:=l Janl converges.
(c) 2:::=llog!anl < (d)
00.
00.
n:=l ~ (t~iinzz)
converges uniformly and absolutely on compact
subsets of][]). Proof. The proof that (a), (b), and (c) are equivalent can be found in §7.5. The fact that (a) implies (d) is Exercise 7.5.4. By evaluating the infinite product in (d) at z = 0, (b) can be deduced from (d). 0 2.4 Definition. A sequence {an} satisfying one of the equivalent conditions in the preceding lemma is called a Blaschke sequence. If {an} is a Blaschke sequence and m is an integer, m ::::: 0, then the function
2.5
b(z)
=
zm
IT
n=l
l:nl ( an ~z ) n 1- anz
20. Hardy Spaces
274
is called a Blaschke product. The factor zm in the definition of a Blaschke product is there to allow b to have a zero at the origin.
20.2. The Nevanlinna Class
275
2.8 Theorem. If f is in the Nevanlinna class and f is not identically 0, then the zeros of f form a Blaschke sequence. Moreover, if b is the Blaschke product with the same zeros as f, then f / bEN. If f E HP, then fib E HP.
Proof.
It suffices to assume that f(O)
21r
r
i= o. By Jensen's Formula (11.1.2)
2.6 Proposition. If b is the Blaschke product defined by (2.5), then b E HDO and Ib( w) I = 1 a. e. [m] on 8 JI)). The zeros of b are precisely the points a 1, a2, . .. and, provided m > 0, the origin.
2.9
Proof. Let bn den.ote the product of zm with the first n factors in (2.5). It is easy to see that Ibn(z)1 s:; Ion cl JI)) and Ibn(w)1 = 1 for win 8JI)). By (2.3) Ib(z)1 s:; 1 on JI)) and so b E HDO. Also for n > k,
where al, a2, ... are the zeros of f, repeated as often as their multiplicity, and r is chosen so that lakl i= r for any k. But log x s:; log+ x and so, since 21r fEN, there is a finite constant M> 0 such that 2~ Jo log If(reill)1 dO s:;
jlbn-bkl2dm
=
2 [l-Rejbnbk dm]
2 [1 - Re
j :: dm] .
Because n > k, bnlb k is analytic on JI)). Thus the mean value property implies that n bn dm = bn (0) = lajl. j bk bk j=k+l
II
Hence
j Ibn - bkl 2dm
= 2[1 -
IT
1 27fJo
ill log If(re ) I dO = 10glf(0)1
JajlJ·
But Lemma 2.3 implies that the right hand side of this last equation can be made arbitrarily small for sufficiently large nand k. Therefore {b n } is a Cauchy sequence in H 2 and must converge to some function f. If Izi < 1 and Pz is the Poisson kernel, then Pz E L 2 and so bn(z) = J Pzb n dm ----t J Pz f dm. Hence it must be that f = b. That is, bn ----t b in H 2. Because we have convergence in the L 2 norm, there is a subsequence {b nk } such that bnk (w) ----t b(w) a.e. [m]. Since Ib nk I = 1 a.e. on 8 JI)), it follows that Ibj = 1 a.e. on 8JI)). Finally, the statement about the zeros of the Blaschke product follows from (7.5.9). 0
The next result is the reason for our concern with Blaschke sequences.
r ) ' log ( lakl
(I';kl)
M for all r < 1. This implies, with a small argument, that L~=llog < 00. By Lemma 2.3, {ak} is a Blaschke sequence. Now to show that fib E N, when b is the Blaschke product with the same zeros as f. It is left as an exercise to show that if f has a zero at z = 0 of order m, then f/zm E N. Thus we may assume that f(O) i= 0 and hence b(O) i= o. If g = fib, then 9 is an analytic function on JI)) and never vanishes. If z E JI)) with Ig(z)1 s:; 1, then If(z)1 s:; Ib(z)1 s:; 1 and so log+ Ig(z)1 = 0 < -log Ib(z)1 = log+ If(z)1 -log jb(z)l. If Ig(z)1 > 1, then log+ Ig(z)1 = log Ig(z)1 = log If(z)1 - log Ib(z)1 s:; log+ If(z)1 - log Ib(z)l. Thus we have that, for all z in JI)),
s:; log+ If(z)I-Iog Ib(z)l.
But log Ibl is a subharmonic function and so for 0 < r < 1, 21r 21r 1 -log+ Ig(reill)ldO s:; -1 log+ If(reill)ldO - -1 log Ib(reill)ldO 27f
27f
1 1
27f
0
1 0
21r
<
-1
27f
. log+ If(re,II)ldO -log Ib(O)i.
0
Since b(O) i= 0, this implies that gEN. Now to show that fib E HP when f E HP. Let al, a2, ... be the zeros of f, repeated as often as their multiplicities, and let bn be the Blaschke product with zeros al,· .. , an' Put gn = f Ibn and let M ~ J If(rw)IPdm(w) for all r < 1. If E > 0, there is an ro such that for ro s:; Izi s:; 1, Ibn(z)1 > 1 - E. Therefore
We obtained a useful fact in the course of the preceding proof that is worth recording. 2.7 Corollary. If {an} is a Blaschke sequence, b is the corresponding Blaschke product, and bn is the finite Blaschke product with zeros al, ... , an, then there is a sequence of integers {nk} such that bnk ----t b a.e. on 8JI)).
L lakl
log+ Ig(z)1
j=k+l
+
o
j Ign(rw)IPdm(w)
s:; <
(1
~ E)P j
If(rw)IP dm(w)
M
(1 - E)P
for ro < r < 1. Letting r ----t 1, we get that gn belongs to HP. Since E was arbitrary, we can let E ----t 0 to see that Ilgn lip s:; M for all n. By Corollary 2.7 there is a subsequence {gnk} such that gnk ----t 9 == fib a.e. on 8 JI)).
276
20. Hardy Spaces
Therefore 9n k
->
9 weakly in U'. Since each 9n belongs to HP (why?),
20.2. The Nevanlinna Class
277
uniqueness) that
9 E HP. 0
h(z) =
Here is the promised characterization of functions in the Nevanlinna class.
Also let
h±(z) =
,I I
, I
;I
2.10 Theorem. (F and R Nevanlinna) If f is an analytic function on ]])), then f belon9s to the Nevanlinna class if and only if f = 9I!92 for two bounded analytic functions 91 and 92.
Proof. First assume that f is the quotient of the two bounded analytic functions 91 and 92. It can be further assumed that 19i(z)/ :S 1 for z in J!)), i = 1,2. Since f must be analytic, it also can be assumed that 92 has no zeros in]])). It follows that log Igi(z)1 :S 0 and so log If I = log 1911-log Ig21 :S -log Ig21; hence log+ If I :S -log Ig21 on ]])). This implies that 1
211'
[27l'
lo
log+ If(reill)jdB
<
1 --
1 2
7l'
log Ig2(re ill )ldB
211' 0 -log Ig2(0)1
since log Ig21 is harmonic. Thus fEN. Now assume that fEN. By Theorem 2.8 we may assume that f does not vanish on ]])). Hence u = log If I is a harmonic function. Thus
I
I
u(O)
J = J
log Ifrl dm
=
(Here log- x = - min{log x, O}.) Since fEN and the left hand side ofthis equation is independent of r, it follows that SUPr<1 Jlog-Ifrldm < 00. Therefore
r<1
I
=
I
sUPJ Ilog Ifrll dm r<1
~~~ {IOg+ Ifrl dm + <
J J
W -
w+z df.i±(w). w-z
--
. Thus h = h+ - h_ and Re h± =u± 2': O. Put gl = e- h- and g2 = e-h+; so 91 and 92 are analytic functions on J!)) with no zeros. Also Igi (z) I = exp( - Re h±(z)) = exp( -u±(z)) :S 1. That is, 91 and g2 belong to Hoo. Finally, gI!g2 = exp(-L)/exp(-h+) = exp(h+ - h_) = f. 0
2.11 Theorem. If fEN and f is not constantly 0, then f has a non tangential limit a.e. on oJ!)) and log If(eill)1 ELI.
Proof. We begin by proving the corollary if f E Hoo. So assume that Ilflloo ::; 1; we may also assume that f(O) of. O. By Fatou's Theorem, f has non-tangential limits a.e. on 8 J!)); thus fr (w) -> f( w) a.e. on 0 J!)). By Fatou's Lemma (from real variables)
faD Ilog If( w)11 dm(w)
:S
r!i.T- inf
J
= r!i.T- inf [-
Ilog Ifr( w)11 dm( w)
J
log Ifr(w)1 dm(W)] .
But log If I is subharmonic, so 10glf(0)1::; Jloglfrldm. Hence
log+ Ifrl dm -log-Ifrl dm.
sup Ilur lll
w+z z
- - dj.t(w).
J
log- Ifrldm}
[ Ilog If(w)11 dm(w) :S -log If(O)1 < 00. laD Thus log If I ELI. Now let fEN. By the preceding theorem, f = 9t!92 for two bounded analytic functions gl and g2· Since log Igi I E L 1 , neither gl nor 92 can vanish on a subset of 0 J!)) with positive measure. Thus the fact that both gl and g2 have non-zero non-tangential limits a.e. on 0 J!)) implies that the same is true of f. Also, because log Igil ELI, it follows that log If I = log Igll-log Ig2/ E L 1• 0
00.
By Theorem 19.1.7, there is a measure f.i on oJ!)) such that u(z) = p,(z) = J Pzdf.i. Since u is real-valued, J1 is a real-valued measure. Let f.i = f.i+ - f.i be the Hahn decomposition of f.i and put u± = f.i±; so u+ and u_ are non-negative harmonic functions on J!)). Now J!)) is simply connected and f is a non-vanishing analytic function, so there is an analytic function h on J!)) such that f = e\ stipulate that h(O) = 10glf(0)1 so that h is unique. Thus u = Reh and it follows (by
The condition that log If(eill)1 is integrable is to say that f is log inte grable. 2.12 Corollary. If fEN and f(w) measure, then f is identically O.
=
0 on a subset off)J!)) haVing positive
2.13 Corollary. Iff E HP and f( w) = 0 on a subset of f) J!)) having positive measure, then f is identically O.
_.. n,
.
"':.
_~_.____
__" __ ._
"_."
vrtnz
ET7
afflii;.w",-'-"· _n
... no. _.. _. .
20. Hardy Spaces
278
Exercise
.._'-'-,,·.._·... --I..iiiiiiili=--~~'= 5iiiSili=,.
'.,'£:.0
_._
-
-1ij.q;....."Wi iffl'-
.___
..N!'e¥W&=W-;m"-'·"'-
W""~7'fflW
··-T£~~iiiiF==~
~·-=---··--·-"-;;;blBlM!!!!ltf!fhl·1IN*tM-=-----"!1Ifi?lliW'WH
_~~__
.__...__
279
20.3 Factorization
Lebesgue measure and such that
1. Suppose f is an analytic function on {z : Rez > O} and f(n) all n 2': 1. Show that if f is bounded, then f = O.
= 0 for
f(z) = exp
3.5
(J : ~: h(w) dm(W))
for all z in lDl.
§3
Factorization of Functions in the Nevanlinna Class
In this section we ,will give a canonical factorization of functions in the class N. This will also factor functions in the Hardy spaces Hp. Actually the strategy is to factor bounded analytic functions and then use Theorem 2.10 to factor functions in N.
It is clear that (3.5) defines an analytic function on lDl that has no zeros. Also the fact that h is real-valued implies that the harmonic function log If I is precisely the Poisson transform of h.
3.6 Proposition. If f is the outer junction defined by (3.5), then f is in the Nevanlinna class and h = log If I a.e. [m] on alDl. Moreover, f E HP if
and only if eh E Lp. 3.1 Definition. An inner junction is a bounded analytic function ¢ on lDl such that 1¢(w)1 = 1 a.e. [m].
Proof.
As we already observed, log If I = h on lDl. Thus
1
It follows that every Blaschke product is an inner function, but there are some additional ones.
21f
ior
21r
log+ If(reill)1 dB
¢(z) = exp ( - / :
~: dJ.L(W)) ,
then ¢ is an inner function. Proof. It is easy to see that ¢ is well defined and analytic on lDl. Let u(z) = -ji,(z) = - J Pz(w) dJ.L(w) = -Re J ::;~~ dJ.L(w); so 1¢(z)1 = eU(z). Since J.L is a positive measure, u(z) :::;; 0 for all z in lDl. Also the fact that J.L is a singular measure implies, by Fatou's Theorem, that u(rw) ---. 0 as r ---.1- a.e. [m]. Hence if Iwl = 1 and both ¢ and u have a non-tangential limit at w, then 1¢(w)1 = limr--->I-I¢(rw)1 = limr--->l- e-u(rw) = 1 a.e. [m]. Therefore ¢ is inner. 0 An inner function ¢ as defined in (3.3) is called a singular inner junction. It will turn out that singular functions are the inner functions with no zeros in lDl. At this point the reader might be advised to work Exercise 12 to see that the correspondence between singular inner functions and positive singular measures J.L as described by (3.3) is bijective. We come now to another class of analytic functions that are, in a certain sense, complementary to the inner functions. The idea here is to use formula (3.3) but with an absolutely continuous measure. It is also not required that the measure be positive. 3.4 Definition. An analytic function f : lDl ---. C is an outer function if there is a real-valued function h on lDl that is integrable with respect to
iro
1r
ill max{hr(e ), O} dB
< Ilhrll l .
3.2 Proposition. If J.L is a positive singular measure on alDl and
3.3
1 21f
But Theorem 19.1.7 implies that this last term is uniformly bounded in r. Therefore fEN. Also Fatou's Theorem implies that f has non-tangential limits a.e. on alDl and so, when the limit exists, h(w) = limr--->l_ h(rw) = limr--->l_log If(rw)l. This proves the first part of the proposition. Since Ifl P = (eh)p = eph ,
/ If(rw)IP dm(w)
=
/
ephr(w) dm(w)
/ exp ( / ph(z) Prw(z) dm(Z)) dm(w). Since the exponential function is convex and Prw(z) dm(z) is a probability measure, Proposition 19.4.13 implies that
/ If(rw)IP dm(w)
:::;;
/ / exp(ph(z)) Prw(z) dm(z) dm(w) / exp(ph(z)) ( / Prw(z) dm(w)) dm(z) / exp(ph(z)) dm(z) /(eh)p dm,
J
J
since Prw(z)dm(w) = Prz(w)dm(w) = 1. So if eh E £1', then f E Hp. Conversely, if f E HP, then f(eill) E LP and, since eh = If I, eh E £1'. 0
.~
__
.
_
iF;
e
5E
'-vE
&
20. Hardy Spaces
280
We are now in a position to prove one of the main results of this section.
WiT '-ss=;z=s- -------
WEfIII2Il'
il!aUl
nil:
II n, .........
281
20.3 Factorization
3.9 Proposition. If j E Hl, then j = hk jor two function!! hand k in
H2 .
3.7 Factorization Theorem. If f E Hoo, then
f(z) = cb(z) ¢(z) F(z), where c is a constant with Icl = 1, b is a Blaschke product, ¢ is a singular inner function, and F is an outer function in Hoo. Conversely, any function having this form belongs to HOO. Proof. Assume that f is a bounded analytic function with II f II 00 :::; 1. By Theorem 2.8, f = cbg, where b is a Blaschke product, 9 is a bounded analytic function on IDl with g(O) > 0, and c is a constant with Icl = 1. It also follows that Ilglloo :::; 1. Let 9 = e- k for a unique analytic function k : IDl ---+ C with k(O) = log Ig(O)I. Thus u == Re k = -log Igi ::::: O. That is, u is a non-negative harmonic function on IDl. By Herglotz's Theorem, u(z) = J Pz(w) d/l(w) for some positive measure /l on aIDl. Therefore k(z)
=
/
w+z - d/l(w). w-z
(Why?) Let /l = /la +/ls be the Lebesgue decomposition of /l with respect to m, with /la « m and /ls -l m, and let h be the Radon-Nikodym derivative of /la with respect to m; so /la = h m. It follows that h ::::: 0 a.e. [m] since /l is a positive measure. Define
Proof. Let b be the Blaschke product with the same zeros as f· By Theo
rem 2.8, f = bg, where 9 E H 1 and 9 has no zeros in IDl. Since IDl is simply 2 connected, there is an analytic function h on IDl such that h = g. Since 2 2 fJ. E HI, hE H . Also k == bh E H . Clearly, f = hk. 0 3.10 Theorem. If 1:::; p:::;
00
and f E HP, then
f(z) = c b(z) ¢(z) F(z), where c is a constant with lcl == 1, b is a Blaschke product, ¢ is a singular inner function, and F is an outer function in HP. Conversely, any function having this form belongs to HP. Proof. In light of Theorem 3.7 it remains to consider the case where p < Before getting into the proper part of the proof, the reader is asked to establish the inequality
00.
Ilog+ a - log+ bl :::;
la -
bl,
valid for all positive numbers a and b. (Just consider various cases.) Hence / !log+ If(rw)I-Iog+ If(w)\1 dm(w)
:::;
/ If(rw) - f(w)1 dm(w) 1
F(z) = exp ( / :
~: [-h(w)] dm(w))
and let ¢ be the singular inner function corresponding to the measure /ls' It is easy to see that 9 = e- k = ¢F. By (3.6), -h = log IFI a.e. [m]. Also log Igl = -Rek = -u and u(rw) ---+ h(w) a.e. [m] by Theorem 19.2.12. Thus -h = log Igi on aIDl and this implies that Igi = IFI on aIDl. Therefore FE Hoo, The converse is clear. 0
< [/ If(rw) - f(w)IPdm(w)] Since this last quantity converges to 0 as r
3.8 Corollary. If f is a function in the Nevanlinna class, then
¢l(Z)]
f(z) = cb(z) [ ¢2(Z)
F(z),
where c is a constant with lei = 1, b is a Blaschke product,
1-, we obtain that
Ilog+ If(rw)\ -log+ If(w)11 dm(w) = O.
3.12 Claim. If f E HP, then 10glf(z)1 :::;
\zl In light of Theorem 2.10 we can now factor functions in N.
r~- /
3.11
---+
P
J PAw) loglf(w)ldm(w)
for
< 1.
To see this, fix z in IDl, By Theorem 2.8, f = bg, where b is a Blaschke product and 9 is a function in HP with no zeros. Hence, log If I = log Ibl + log Igi :::; log Igi. Since If(w)1 = Ig(w)1 on aIDl, it suffices to prove the claim for the function g. Because 9 does not vanish on IDl, log [gl is a harmonic function on IDl, and so, for 0 < r < 1, log Igr I is harmonic in a neighborhood of cl IDl, oo Thus loglgr(z)1 = J Pz(w) log \gr(w)1 dm(w). But for Izi < 1, P z E L , Therefore (3.11) implies that rlJ!r- / Pz(w) log+ \gr(w)! dm(w) = / Pz(w) log+ Ig(w)1 dm(w).
~,,
__=-""_L__ ,
.............. _-=
~~=~~, -,~
.~_n.",
.2"' --"'Tf~~'""'~ _ ~ ~ ~ ~ c ~ _ ~
282
Now Fatou's Lemma implies that J Pz(w) log- Ig(w) Idm(w) J Pz(w) 10g-lgr(w)1 dm(w). Hence log Ig(w)j
=
-+
l
J = "J
J
J
Pz log- Igi dm
Pzloglgldm,
,II
thus proving (3.12). Now to complete the proof of this theorem. Let f = Cb(¢I!fP2) F as in Corollary 3.8 and put ¢ = ¢I!¢z. Since If(w)1 = W(w)1 a.e. [m] on oJ[}), FE HP. Also I¢I = 1 a.e. [m] on oJ[}). So ifit can be shown that Ib(z) ¢(z)1 s:; 1 on J[}), this will show that b ¢ is an inner function and complete the proof. But for Izi < 1, log IF(z)1
=
J J
PAw) log IF(w)1 dm(w)
Pz(w) log If(w)1 dm(w)
> log If(z)1 by (3.12). Therefore 1 2:
IH:~ 1= Ib(z) ¢(z)l·
3.13 Theorem. If f E HP, 1 s:; p s:; 00, then g(w) = limr--->l- f(rw) defines a junction in LP such that g(n) = 0 for n < 0, 9 = f, and Ilgllp = limr--->l-llfrllp, Thus the map that takes a function f in HP onto its boundary values 9 is an isometric isomorphism of HP onto the subspace 1{P of LP. For p = 00, this map is also a weak* homeomorphism.
Proof. We can assume that p = 1. If f E HI, then f = hk for functions h and k in HZ (3.9); also, let hand k denote the respective boundary functions in 1{z. By Theorem 1.4, it = h, k = k, Ilh r - hll z ~ 0, and IJk r - kll z ~ o. If 0 < r, s < 1, then If(rw) - f(sw)1 dm(w)
s:;
J J
lh(rw)[k(rw) - k(sw)]1 dm(w)
We will henceforth make no distinction between functions in the Hardy spaces HP and their boundary values. That is, with no warning we will consider functions in HP as functions on J[}) or on 0 J[}) unless there is a distinct expository advantage in making a distinction. We have seen that if f E LP, 1 s:; p s:; 00, and j(n) = 0 for all n < 0, then f is the boundary function of a function in HP. We are therefore justified in calling functions in LP whose negative Fourier coefficients are 0 analytic functions. What are the "analytic measures?" That is, if IL is a regular Borel measure on oJ[}) and p,(n) = 0 for n < 0, what can we conclude, if anything, about IL and [L? The answer, contained in the F and M Riesz Theorem below, is that we get nothing new, since such measures must be absolutely continuous with respect to Lebesgue measure and therefore have Radon-Nikodym derivatives equal to a function in the Hardy space HI.
3.14 The F and M Riesz Theorem. If IL n < 0, then IL« m and dlL/dm E HI.
0
It is now possible to obtain the promised extension to HI of Theorems 1.4 and 1.5. The result is stated for all p, though it is only necessary to offer a proof for the case that p = 1. The subspace 1{P of LP is defined as before (1.5).
J
If M = max{llhll z , Ilkllz} and c > 0, then there is an ro < 1 such that
IIk r -k Bllz < c/2M and Ilh r -h Bl12 < c/2M for r, s > roo Hence IIfr- fBlh <
c whenever r, s > roo That is, {fr} is a Cauchy net in L l . Let F E £1 such
that Ilfr - Fill ~ 0 as r ~ 1- . By Theorem 3.8, f = P. By Fatou's
. Theorem, F(w) = limr--->l- f(rw) = g(w) a.e. [m] on oJ[}). But since fr ~ 9
in L l norm, jr(n) ~ g(n) for all n. Thus g(n) = 0 for n < O. It is also clear
that Ilfrlh ~ Ilglll' 0
Pz(W) [log+ Igr(w)l-log-lgr(w)l] dm(w)
Pz log+ Igi dm -
< Ilhrllzllkr - kBllz + IlkBllzllhr - hBllz.
':.,
lim log Igr(w)1
r--+ 1
r~rp-
<
s:; lim inf r
283
20.3 Factorization
20. Hardy Spaces
+
Ik(sw)[h(rw) - h(sw)]1 dm(w)
E
M(oJ[})) and p,(n) = 0 for
Proof. By familiar arguments (see, for example, the proof of Theorem 1.3), if f = [L, then f(z) = 2::=0 p,(n)zn for Izi < 1. Thus f is an analytic function. Also, Ilfrlh s:; IIILII and so f E HI. If g(w) = limr--->l- f(rw), then Theorem 3.13 implies that 9 = f. Hence IL-=-g = O. But now an easy computation shows that for every integer n, IL---=-g(n) = 0, and so p,(n) = g(n) for all n. Since the trigonometric polynomials are dense in C(oJ[})), it follows that IL = gm. 0 We close this section with a discussion of weak convergence in the HP spaces. Part of this discussion (the part for p > 1) could have been pre sented earlier, while the consideration of the case where p = 1 is dependent on the F and M Riesz Theorem. We begin with the case p > 1.
3.15 Proposition. If 1 < p s:; 00, f E HP, and {fn} is a sequence in HP, then the following statements are equivalent.
(a) fn
~
f weakly in
(b) sup" Ilf"llp < J[}).
00
LP
(weak* in
L oo
ifp = (0).
and fn(z) ~ f(z) uniformly on compact subsets of
20. Hardy SpacEs
284
(c) sUPn Ilfnllp <
00
(d) sUPn Ilfnllp <
00
and fn(z) ---. f(z) for all z in ID. and fA k)(0) --+ f(k)(O) for all k ~ O.
Proof.
(a) implies (b). By the Principle of Uniform Boundedness, sUPnllfnllp If K is a compact subset of]jJ), let s = sup{lzl : z E K}; so s < 1. Let s < r < 1; by Cauchy's Theorem, for any analytic function h on ]jJ) and z in K,
<
20.3 Factorization
(b) SUPn Ilfnlh < ]jJ).
285 00
(c) SUPn lifnlll <
00
(d) sUPn Ilfnlll <
00
and fn(z)
--+
f(z) uniformly on compact subsets of
and fn(z) --+ f(z) for all z in ID.
k
and fA )(0) --+ (0) for all k ~ O.
00.
h(z) =
~
r
h(() d( =
21l"Z il(l=r ( -
Now if h E HP, hr equation gives that
--+
~ 21l"
Z
r io
27r
h(z) =
~
r
21l" io
27r
h(e
et ()
i
-
())
i
h(re ()) dB. re'() - z
h in LP norm. So letting r
The proof is left to the reader.
--+
1 in the preceding
dB
z
for all z in K. By Exercise 6, {(e i () - z)-l : z E K} is compact in Lq, where q is the index dual to p. By Exercise 7, fn(z) --+ f(z) uniformly on K. (c) implies (a). Assume that 1 < P < 00. The fact that Un} is norm bounded implies, by the reflexivity of £P, that there is a function 9 in LP such that fn --+el 9 weakly in £P. Since Lq is separable, there is a subsequence {fnk} such that fnk --+ 9 weakly. If p = 00, then the fact that L I is separable implies there is a 9 in Loo and a subsequence {fnk} such that fnk --+ 9 weak*. In either case, for all integers m, fj(m) = lim !nk(m). Hence 9 E Hp • Also, the fact that (e i () - Z)-l E Lq implies that g(z) = (g, (e i () - Z)-l) = limnk->ooUnk' (e i9 - Z)-l) = limnk->oo fnk(Z) = f(z). Hence f is the unique weak (respectively, weak*) cluster point of Un} and so fn --+ f weakly (respectively, weak*). It is clear that (b) implies (c) and the proof that (d) is equivalent to the remaining conditions is left to the reader. 0 What happens if p = I? By the F and M Riesz Theorem, HI can be identified, isometrically and isomorphicly, with C == {IL E M(oID) : p.(n) = o for n < O}. Now it is easy to see that this is a weak* closed subspace of M = M(a]jJ»). So if C.L = {f E C(o]jJ») : J f hdm = 0 for all h in HI}, then HI ~ (C(o]jJ»)IC.L)*' That is, HI is the dual of a Banach space and therefore has a weak* topology. In fact, this is precisely the relative weak* topology it inherits via its identification with the subspace C of M. Thus a sequence {fn} in HI converges weak* to f in HI if and only if J gfn dm --+ Jgf dm for all 9 in C(a]jJ»). We therefore have the following analogue of the preceding proposition. 3.16 Proposition. If f E HI and Un} is a sequence in HI, then the following statements are equivalent.
Exercises 1. Let ¢l and ¢2 be singular inner functions corresponding to the singu
lar measures ILl and IL2· If ¢ is the function ¢I/¢2 in the Nevanlinna class, show that ¢ is an inner function if and only if III ~ 1l2. 2. Let F be the collection of all inner functions and observe that F is a semigroup under multiplication. If ¢ E F, characterize all the divisors of ¢. Apply this to the singular inner function ¢ corresponding to the measure aOI, where 01 is the unit point mass at 1 and a > O.
3. If ¢ is an inner function, is it possible for 1/¢ to belong to some HP space? Can 1/¢ belong to some LP space? If f is any HP function such that 11 f E HI, what can you say about f? 4. If f E HI and Re f(z) > 0 for all z, show that f is an outer function. If ¢ is an inner function, show that 1 + ¢ is outer. 5. If.0. is a measurable subset of a]jJ) having positive Lebesgue measure and a and b are two positive numbers, show that there is an outer function f in Hoo with If(w)1 = a a.e. on .0. and lJ(w)1 = b a.e. on aID \.0.. Show that if hELP, 1 ~ p ~ 00, and h ~ 0, then there is a function f in HP such that h = If I a.e. on aID if and only if log hELl; show that the function f can be chosen to be an outer function.
6. If 1 ~ q < 00, the function z --+ (eil/ - Z)-l is a continuous function from ]jJ) into Lq. Thus for any compact subset K of ID, {( eil/ - z) -1 : z E K} is a compact subset of Lq. 7. If X is a Banach space, {x n } is a sequence in X such that X n --+ 0 weakly, and K is a norm compact subset of X*, then sup{lx*(xn)1 : x* E K} --+ 0 as n --+ 00.
8. Prove that condition (d) in Proposition 3.15 is equivalent to the re maining ones. 9. Prove Proposition 3.16.
(a) fn
--+
f weak* in HI,
".==--=...= ==""==-:..~"= ..~~~=,,..=.-~=::::~::==~~~==~~'~=~c="~~~:~~~
---------
20. Hardy Spaces
286
__
. ", '__.
~ ~_=~';;-'----:;-=:_~~~ ~.-:
287
20.4. The Disk Algebra
10. Show that for f in L 1 , f¢dm = 0 for all ¢ in Hoo if and only if f E HI and f(O) = O. Denote this subspace of HI by HJ. Show that H OO is isometrically isomorphic to (£1 / HJ)*.
Proof. This is easy to prove if you first observe that the Cesaro means of a function in the disk algebra are analytic polynomials and then apply Theorem 18.7.5. D
11. Let bn be the Blaschke product with a zero of multiplicity n at 1- ~. Show that {b n } converges weak* in H oo . What is its limit?
4.4 Theorem. If p : A ---; C is a non-zero homomorphism, then there is a point a in cl 1lJl such that p(J) = f (a) for all f in A. Thus the maximal . ideal space of A is homeomorphic to cl 1lJl, and under this identification the Gelfand transform is the identity map.
J
12. (a) Show that if I'" is a complex valued measure on a1lJl, (3.3) defines an analytic function ¢ on 1lJl with no zeros. (b) Show that f(z) = - J :~~ dji,(w) is the unique analytic function on 1lJl such that ¢ = e f and f(O) = -p,(a1lJl). (c) Show that f(n)(o) = -2n! wndp,(w) for n ::::: o. (d) Show that if I'" is a singular measure and ¢ == 1, then I'" = O. (e) Show that if I'" is a real-valued measure and ¢ == 1, then I'" = O. (f) Now assume that 1"'1 and 1"'2 are two positive singular measures that represent the same singular inner function ¢. That is, assume that exp( ~-t:-":, dp,l(w)) = exp( - :~~dp,2(w)) = ¢(z). Show that 1"'1 = 1"'2'
J
J
J
13. If ¢ is an inner function, find all the points a on a continuous extension to 1lJl U {a}.
§4
a1lJl such that ¢ has
The Disk Algebra
Here we study an algebra of continuous functions on the closed disk (or the unit circle) that is related to the Hardy spaces. 4.1 Definition. The disk algebra is the algebra A of all continuous func tions f on cl 1lJl that are analytic on 1lJl. It is easy to see that A is a Banach algebra with the supremum norm. In fact, it is a closed subalgebra of H oo . In light of the recent sections of this book, the proof of the next result should offer little difficulty to the reader. (This was covered in Exercise 1.2.) 4.2 Theorem. The map f ---; flo 1lJl is an isometric isomorphism of A onto the subalgebra A = {g E C(a1lJl) : g(n) = 0 for n < O} of C(a1lJl). Furthermore, if g E A and f = g, then fla1lJl = g and fr ---; g uniformly on a1lJl. We will no longer make a distinction between the disk algebra A and the algebra A consisting of its boundary values. That is, we will often think of A as a subalgebra of C(a1lJl). 4.3 Proposition. The analytic polynomials are uniformly dense in the disk algebra.
If p : A ---; C is a non-zero homomorphism, let a = p(z). Since lal ~ 1. It follows by algebraic manipulation that p(p) = p(a) for all polynomials in z. In light of the preceding proposition, p(J) = f(a) for all f in A. Conversely, if lal ~ 1 and p(J) = f(a) for all f in A, then p is a homomorphism. Thus p ---; p(z) is a one-to-one correspondence between the maximal ideal space and cl 1lJl. The proof of the fact that this
Proof.
Ilpll
= 1,
correspondence is a homeomorphism and the concomitant fact about the Gelfand transform is left to the reader. D 4.5 Proposition. {Re pia 1lJl : p is an analytic polynomial} is uniformly dense in CIR(a1lJl). Proof. If g(w) = L~=-n Ckwk, where C- k = Ck, then g = Rep for some analytic polynomial. On the other hand, the Cesaro means of any function in CIR (a 1lJl) are such trigonometric polynomials and the means converge uniformly on a1lJl (18.7.5). D
4.6 Corollary. If I'" is a real-valued measure on a 1lJl such that for every analytic polynomial p, then I'" = O.
Jp dp, =
0
4.7 Corollary. If I'" is a real-valued measure on a 1lJl such that J p dp, = 0 for every analytic polynomial p with p(O) = 0, then there is a real constant c such that I'" = em. Proof. Let c = J 1dm = p,(a1lJl). It is easy to check that, if v = I'" - em, then pdv = 0 for all polynomials p. The result now follows from the preceding corollary. D
J
This essentially completes the information we will see here about the disk algebra. There is more information available in the references. Now we turn our attention to some related matters that will be of use later. Note that this puts the finishing touches to the proof of Theorem 14.5.8. 4.8 Theorem. If f E HI, the following statements are equivalent.
(a)
The function () ---; f(e iB ) is of bounded variation on [0,2n].
288
20. Hardy Spaces
(b) The function f belongs to the disk algebra and () continuous.
---->
f (e ill ) is absolutely
,
289
20.4. The Disk Algebra
1 1 - in 27r
(c) The derivative of f belongs to HI.
_
(a) implies (b). Let u(()) = f(e ill ); we are assuming here that u is 27r a function of bounded variation. But since f E HI, 2~ J0 u(())einlld() = n f(w)w dm(w) = 0 for n ?: 1. Using integration by parts, this implies that, for n ?: 1,
r"
27rn
zn
The F and M Riesz Theorem now implies that u is an absolutely continu ous function whose negative Fourier coefficients vanish. In particular, u is continuous and, since f = ii, f E A. (b) implies (c). Since u(()) = f(e ill ) is absolutely continuous, for 0 < r < 1 and for all (), f(re
) = 27r
f27r
Jo
Pr (()
-
=
~
t)f(eit)dt.
~[Pr(() -
f27r
J
8 ()
27r o
1
27r
0
!ig(e ill ) = lim ieill[}(reill ). d()
But tllg(e ill )
t)]f(eit)dt.
4.9 Corollary. If f belongs to the disk algebra and ()
!i f(e ill ) d()
-
---->
f(e ill ) is absolutely
continuous, then
27r
Pr (()
Thus
It is worth recording the following fact that surfaced in the preceding proof.
8 [Pr(() - t)]u(t) dt. -8 t
1
= ieillh(()) = ie ill I'(e ill ).
lim [J'(re ill ) - g'(re ill )] = 0
Since u is absolutely continuous, integration by parts yields ire ill J'(re ill ) = - 1 27r
r->l-
a.e. Since I' - g' E HI, I' = g,. Therefore there is a constant C such that f = [}+C. This implies that f E A and () ----> f(e ill ) is absolutely continuous. Since it is clear that (b) implies (a), this completes the proof. 0
27r
= -1
h(()) e- i (n-1)/1d()
~.
Since Pr is an even function, this implies ill ire ill J'(re )
g' (OJ d1J
T---Jol
Differentiating both sides with respect to () gives ire ill J'(re ill )
"
Thus [} belongs to the disk algebra and [}18]])) = 9 is absolutely continuous. Since we have already shown that (b) implies (c), we have that g' E HI. Moreover an examination of the proof that (b) implies (c) reveals that
mJo
1
-.nll
0'
O.
_~ f27r einlldu(()).
ill
1
27r
167r + 2Kin _1
A
zn Jo
0
)
1 27rn h (n-1)
~ f2'Tr einlldu(())
einll127r _
J
inlJ
o
J
u~())
g(()) d(e-
1 -inll 27r n e g(()) 1
Proof.
o
f27r
Jo
= ie ill lim
r ..... 1
J'(reill)a.e.
t)u'(t) dt.
0
----> f(e ill ) is abso ill f(e ) is 27r 111'111'
4.10 Corollary. If f belongs to the disk algebra and ()
This implies that izJ'(z) is an analytic function on ]])) that is the Poisson integral of the £1 function u'. Hence iz J' (z) belongs to HI. But this implies that I' E HI. (c) implies (b). Let h denote the boundary values of 1'. So h E £1, h( -n) = o for n > 0, and I' is the Poisson integral of h. Let g(()) = i eit h(t) dt;
J:
r27r"t r27r "( t) so g(O) = O. Also g(27r) = Jo ie' h(t)dt = i Jo e-' - dt = ih(-l) Now 9 is absolutely continuous and g'(()) = ieillh(()) a.e. For n < 0, A
g(n)
~ f27r g(())e-inlld() 27r Jo
= O.
lutely continuous, then the length of the curve ()
---->
Exercises
Show that the only inner functions that belong to A are the finite Blaschke products. Show that the function f(z) = (1 - z) exp [~] is continuous as a function on 8]])), but there is no function in A that equals f on 8]])).
"!I!!!!!l1!!!!!!lI!!!!!i'!"
.
.....
.
!fIIl!!_!!!~_~!!'!!!!
. .. 290· .
n-
·mm'..
. . . . . 75'77'.. . -. J!!!e:!!!!!!!J!!!!IIlI!!!IIIIW ,!!!!!!!!!!!!!.
20. Hardy Spaces
n
. . .. -. ""'Ftrr"'t'X.'ff.!I!!!!!1 ~. . sm ..-........ i1U. •,.,.w,mVPilj9!jrw~ m.r".m7!!T'i!T!!!"fftr':!'MS"1:R~r,rwr::;,!'''=:,a,"",,~
... I.R1II!iI1!!I1'llI"J!!!!!J.!!li._.~,,_ .•. " •.. _"~"~" ,~."~~",~"_~_~ __ ~i_~_ ~~,~ ~."_./;;p< n
".:
20.5 Invariant Subspaces
~
291
~
3. Let K be a compact subset of aD having zero Lebesgue measure. .: have a factorization f = c b ¢ F, where c E C with Icl = 1, b is a Blaschke "j pcoduct, ¢ i' an inne' funct;on, and F i, oute, function. Ref,,"ng to (a) Show that th"e ;, an integmhle, conthmons function w , II [-00, -1] such that w(z) = -00 If and only If z E K. (b) Prove t h e y , the factorization of functions in the Nevanhnna class (Corollary 3.8), we ~'see that the functions in N+ are .precisely th.ose in fo~ which no inner result of ~atou that says there is a function f in A with f(z) = 0 if and only If z E K. 1', function is required in the denommator of this factOrizatIOn. The first re sult will be stated but not proved. Its somewhat difficult proof is left to 4. Let 'Y be a rectifiable Jordan curve and G = ins 'Y; let r : D -+ G be
the reader. (Also see Duren [1970], Theorem 2.10.)
a Riemann map and extend r to be a homeomorphism of cl D onto
a
N.
cl G. Generalize Corollary 4.10 by showing that, if Ll is a Borel subset
of 'Y, the arc ~ength measure of Ll is 27f If-l(A) Ir'(w)1 dm(w). 5. Keep the notation of the preceding exercise. Show that if E is a subset of D, then m(E) = 0 if and only if r(E) is a measurable subset of 'Y with arc length measure O.
a
6. Keep the notation of Exercise 4. Let a = eio: and let a : [0,1] -+ D U {a} be a curve with a(l) = a and la(t)1 < 1 for 0 ~ t < 1. Assume that a has a well defined direction at a that is not tangent to aD; that is, assume that B == limt->l_ arg[a(t) - a] exists and
B 1= 0: ± 7f 12. If r(eit ) exists at t = 0:, does the angle between r 0 a
and 'Y exist at r(a) and is it equal to B? Is this true a.e. on aD?
-it
§5
The Invariant Subspaces of HP
The purpose of this section is to prove the following theorem (Beurling [1949]).
5.1 Beurling's Theorem. If1 ~ p < 00 and M is a closed linear subspace of HP such that zM ~ M and M 1= (0), then there is a unique inner function ¢ with ¢(O) ~ 0 such that M = ¢HP. If p = 00 and M is a weak* closed subspace of HOO such that zM ~ M and M 1= (0), then there is a unique inner function ¢ with ¢(O) ~ 0 such that M = ¢H oo •
A subspace M of HP such that zM ~ M is called an invariant subspace
of HP. Strictly speaking, such a subspace is an invariant subspace of the operator defined by multiplication by the independent variable. Clearly if M = ¢HP for some inner function ¢, then M is a closed invariant subspace of HP. So Beurling's Theorem characterizes the invariant subspaces of HP. Beurling's Theorem is one of the most celebrated in functional analysis.
It is one of the first results that make a deep connection between operator
theory and function theory. For a proof in the case that p = 2 that uses
only operator theory, see Theorem 1.4.12 in Conway [1991]. The proof here
will require some additional work.
Begin by introducing an additional class of functions related to the Ncvanlinna class. Let N+ denote those functions f in the class N that
5.2 Theorem. If fEN, then f E N+ if and only if lim - 1 r->l- 27f
1 2
71"
0
• log+ If(ret{;l)1 dB = -1 27f
Note that if ¢ is a singular inner function,
1 2
71"
• log+ If(et{;l)1 dB.
0
1N E N
but
1N ~ N+.
For
f = 11 ¢ the left hand side of this equality is finite and not 0 while the right hand side is O.
The next result is an easy consequence of the definition on the class N+.
5.3 Proposition. If f E N+ and f E LP, 1 ~ p
~ 00,
then f E HP.
To facilitate the proof of Beurling's Theorem introduce the notation [I] = the closed linear span of {f, zf, z2 f, ... } in HP whenever f E HP, 1 ~ p < 00. Note that [f] = cl {pf : p is a polynomial} and [I] is the smallest invariant subspace of HP that contains the function f. If f E H oo , [f] is the weak* closed linear span of the same set.
5.4 Lemma. If f is an outer function in HP, 1 ~ p
~ 00,
then [f]
= HP.
Proof. If [f] 1= HP, then there is a continuous linear functional L on HP (L is weak* continuous if p = 00) such that L(pf) = 0 for every polynomial p but L 1= O. Let q be the index conjugate to p and let 9 E Lq such that L( h) = I hg dm for every h in HP. So I p f 9 dm = 0 for every polynomial p, but there is at least one integer n ~ 0 with I zn g dm 1= O. Thus g ~ Hi, the Hq functions that vanish at O. On the other hand we do have that I znfgdm = 0 for all n ~ 0, so that k = fg E HJ.
Now f has no zeros in D and so kif is an analytic function on D. Since k E HJ and f E HP, loglkl and log If I both belong to L 1 • Therefore log Ikl fl = log Ikl-Iog If I ELI. Using the fact that f is outer and k E HI, it follows that kif E N+. But on aD, kif = 9 E Lq. Thus Proposition 5.3 implies that 9 E Hri, a contradiction. 0
We now fix our attention on the case p = 2.
5.5 Lemma. Beurling's Theorem is true for p = 2.
Proof. First, let g be a function in M such that the order of its zero at z = 0 is the smallest of all the functions in M. It must be that 9 ~ zM. Indeed, if 9 E zM, then 9 = zf for some fin M; but the order of the zero
, I
292
20. Hardy Spaces
II
u I' I
Ii I
illllllill
of f at a is one less than the order of the zero of 9 at 0, a contradiction. Thus M properly contains zM. Let f¢ E M n (zM)l- with 11¢112 = 1. So for all n ~ 1,0 = (¢,¢zn) = J 1¢1 2 zndm. By2 taking complex conjugates we see that all the Fourier co efficients of 1¢1 are zero except possibly for the coefficient for n = O. Thus 1¢1 2is the constant function. Since 11¢112 = 1, we have that I¢I == 1, and so ¢ is an inner function.
1111
1:1'1
11'i!1
1
III I
Claim. dim[M
n (zM)l-] = 1.
I 111 1:11:)11 IIIIII1
I, '1 11 1111 1
I1.1'11 . 1"
iI i~~:111
,
Indeed let 'ljJ be a function in Mn(zM)l- such that 'ljJ..l ¢ and 11'ljJ112 = 1. It is left to the reader to show that {zn¢, zk'ljJ : n, k ~ O} is an orthonormal 2 set in L . Therefore for any n, k ~ 0, 0 = (zn¢, zk'ljJ) = J zn z k¢1fJdm. Thus o = J h¢1fJdm for every h in L 1(oj[])) and so ¢1fJ = O. Since both ¢ and 'ljJ must be inner functions, this is impossible. This contradiction shows that dim[M n (zM)l-] = 1 and hence is spanned by ¢. Let N = [¢]; so N ::::: M. Let hEM n Nl-. So h ..l ¢; since dim[M n (zM)l-] = 1, this says that h E zM. But an easy argument shows that dim[zM n (z2 M)l-] = 1. Since h ..l z¢, we also get that h E z2 M. Con tinuing this argument we arrive at the fact that h E zn M for all n ~ 1. But this says that h is an analytic function with a zero at z = 0 of infinite order. Hence h = 0 and it must be that M = N = [¢]. 0 Now we prove Beurling's Theorem for the case P
= 00.
5.6 Lemma. If M is a weak* closed invariant subspace of HOO and M =j:. (0), then there is an inner function ¢ such that M = ¢Hoo. Let N be the closure of M in H 2. It is immediate that N is an invariant subspace of H 2 • By Lemma 5.5 there is an inner function ¢ such 2 that N = ¢H . It is claimed that M = ¢Hoo. Actually it is easy to see that M ~ ¢Hoo since M ~ N n H oo . For the other inclusion, let {In} ~ M such that Ilfn - ¢112 ---7 O. By passing to a subsequence if necessary, we may assume that fn ---7 ¢ a.e. [m] on j[]). Since M ~ ¢Hoo, for each n there is a function h n in HOO such that fn = ¢hn. Define Vn on oj[]) by vn(w) = 1 when Ihn(w)1 ::; 1 and vn(w) = Ihn(w)/ otherwise. Now V;;l E L oo and 10g(V;;1) ELI. Thus there is an outer function gn in Hoo such that Ignl = v;;l on oj[]) (Proposition 3.6). But fn ---7 ¢ a.e on oj[]) and so h n = ¢fn ---7 ¢¢ = 1 a.e. on aj[]). This in turn implies that gn ---7 1 a.e. on oj[]). But Ilgnl/oo ::::: 1 for all n and so gn ---7 1 weak· in Hoo. By Proposition 3.15, gn (z) ---7 1 for all z in j[]). Thus gn(z)fn(z) ---7 ¢(z) for z in j[]). But Ilgnfnlloo = Ilv;;lhnll oo : : : 1. By Proposition 3.15, gnfn ---7 ¢ weak· in Hoo. Since gnfn E M, ¢ E M. Therefore ¢Hoo ~ M. 0
functions in HP. The details are left to the reader. 5.7 Lemma. If ¢ and'ljJ are inner functions, then ¢HP if there is a scalar 0: with 10:1 = 1 and 'ljJ = o:¢.
1
I ,
a
The proof of the next lemma is immediate from the factorization of
= 'ljJHP if and only
Proof of Beurling 's Theorem. Let M be an invariant subspace of HP, 1 :::::
P < 00. Because Lq ~ L1, M n Hoo is weak· closed and invariant in Hoo.
If gEM and 9 = gOgl with go outer and gl inner, let {Pn} be a sequence
~i,
of polynomials such that IIPngO - Illp ---7 0 (Lemma 5.4). It follows that
oo . That is, the inner factor of every ---7 gl in L p and so gl E M n H oo function in M belongs to M n H . In particular, M n Hoo =j:. (0). Thus (Lemma 5.6) there is an inner function ¢ such that M n Hoo = ¢H oo . We now show that M = ¢HP. In fact if gEM and 9 = gOgl as in the preceding paragraph, gl E ¢H oo ; let gl = ¢'ljJ for some 'ljJ in Hoo. So 9 = ¢'ljJgo E ¢HP; that is, M ~ ¢HP. On the other hand, ¢ E M and so ¢p E M for every polynomial p. By taking limits we get that ¢HP ~ M. The uniqueness statement follows immediately from Lemma 5.7. 0
Png
I
i
I '....",;
···1.".··.··.'. }
,:
Some notes are in order. First, Hoo is a Banach algebra and the invariant subspaces of Hoo are precisely the ideals of this algebra. So Beurling's Theorem characterizes the weak· closed ideals of Hoo. In Exercise 1 the weak· continuous homomorphisms from Hoo into C are characterized. A discussion of the Banach Algebra Hoo is a story by itself. (For example, see Garnett [1981].) Second, if I:- = the collection of invariant subspaces of HP 1 then I:- forms a lattice where the join and meet operations are defined as follows. If M and N E 1:-,
Proof.
I~I
293
20.5 Invariant Subspaces
MvN MAN
cl [span(M uN)],
MnN.
It is left to the reader to check that I:- with these operations satisfies the axioms of a lattice. In the exercises Beurling's Theorem is applied to the study of this lattice. Also see §3.1O in Conway [1991]. Exercises 1. If p : Hoo ---7 C is a non-zero weak· continuous homomorphism, show that there is a unique point a in j[]) such that p(f) = f(a) for all f in
Hoo. Exercises 2 through 14 are interdependent. 2. Let I denote the set of all inner functions ¢ of the form
¢ = zkb(z)'ljJ(z),
294
20. Hardy Spaces
20.6. Szeg6's Theorem
where k 2: 0, b is a Blaschke product with b(O) > 0 (possibly b == 1), and 'l/J is a singular inner function (possibly 'l/J == 1). Call this the canonical factorization of a function in I. Show that for an inner function ¢, ¢(n) (0) > 0 for the first positive integer n with ¢(n) (0) =F 0 if and only if ¢ E I. 3. Note that I is a semigroup under multiplication and that 1 is the identity of I. Show that this semigroup has no zero divisors; that is, if ¢ and 'l/J E I and ¢'l/J = 1, then ¢ = 'l/J = 1. Show that this makes it possible to define the greatest common divisor and least common multiple of two functions in I, and that they are unique when they exist. If ¢l and ¢2 E I, then gcd(¢l, ¢2) = the greatest common divisor of ¢l and ¢2 and lcm(¢I, ¢2) = the least common multiple of ¢l and ¢2 when they exist. The next exercise guarantees the existence. 4. If ¢l and ¢2 E I and 1 ~ p ~ 00, then: (a) ¢lHP1\¢2HP = ¢HP, where ¢ = lcm(¢l, ¢2); (b) ¢lHP V ¢2HP = ¢Hp , where ¢ = gcd(¢l, ¢2)' 5. For ¢l and ¢2 in I, say that ¢l 2: ¢2 if ¢2! ¢l; that is, if ¢l is a multiple of ¢2. Henceforth it will always be assumed that I has this ordering. It is customary to define ¢l V¢2 == Icm(¢I, ¢2) and ¢11\¢2 == gCd(¢l, ¢2); with these definitions show that I becomes a lattice and the map ¢ ---+ ¢HP is a lattice anti-isomorphism from I onto LO, the lattice of non-zero invariant subspaces of HP. 6. Let ¢l, ¢2 E I and let ¢j = zk j bj'l/Jj be the canonical factorization of ¢j,j = 1,2. Furthermore, let fij be the positive singular measure on a][» associated with the singular function 'l/Jj. Prove that ¢l 2 ¢2 if and only if: (i) kl 2 k 2 ; (ii) the zeros of bl contain the zeros of b2 , counting multiplicities; (iii) fil 2: fi2 7. Let fil and fi2 be two positive measures on a compact set X and set fi = fil + fi2; set !J = the Radon-Nikodym derivative of fij with respect to fi, 9 = max(h, h), and h = min(h, h). Put II = 9fi and "l = hfi· Prove the following. (a) fil' fi2 ~ II and if a is any positive measure on X such that fil, fi2 ~ a, then II ~ a. (b) fil, fi2 2: "l and if a is any positive measure on X such that fiI, fi2 2: a, then "l 2: a. For two positive measures fil and fi2, the measures II and "l will be denoted by fil V fi2 and fil 1\ fi2, respectively. 8. Let ¢l and ¢2 be functions in I with canonical factorizations ¢j = zk j bj'l/Jj, where bj is a Blaschke product with zeros Zj, each repeated as often as its multiplicity, and 'l/Jj is a singular inner function with corresponding singular measure fij' Let kl V k2 = max(k l , k2) and k l l\k 2 = min(kI, k2); bl Vb 2 = the Blaschke product with zeros Zl UZ2 and bl 1\ b2 = the Blaschke product with zeros ZI n Z2; 'l/Jl V'l/J2 =
295
the singular inner function with measure fil V fi2 and 'l/Jl 1\ 'l/J2 = the singular inner function with measure fil 1\ fi2. Prove the following. (a) ¢l V¢2 = zk 1 Vk2 (b l Vb 2)('l/Jl V'l/J2) and ¢lHP 1\¢2 HP = (¢l V¢2)HP. (b) ¢11\¢2 = zk 1 f\k 2 (b l I\b 2)('l/Jll\'l/J2) and ¢lHPI\¢2 HP = (¢11\¢2)HP. 9. With the notation of the preceding exercise, ¢lHP V ¢2HP = HP if and only if k l = k2 = 0, Zl n Z2 = 0, and fil -l fi2· 10. Show that if 1 ~ p < 00 and M l and M2 are non-zero invariant sub spaces of HP, then M l nM2 =F (0). State and prove the corresponding fact for weak* closed ideals of HOO. 11. Using the notation of Exercise 8, show that if kl = k 2 = 0, Zl and Z2 have disjoint closures, and fil and fi2 have disjoint closed supports, then ¢lHP + ¢2HP = HP. Show that ¢lHP + ¢2HP = HP if and only if there are functions Ul and U2 in H oo such that ¢l Ul + ¢2U2 = 1. (Remark. This condition is equivalent to the requirement that inf{l¢l(Z)1 + 1¢2(Z)1 : Izi < I} > O. This is a consequence of the Corona Theorem (Carleson [1962])). 12. If {¢d S;; I, describe the inner functions ¢ and 'l/J such that V¢iHP = ¢HP and /\ ¢iHP = 'l/JHP. Give necessary and sufficient conditions that V¢iHP = HP. That /\ ¢iHP = (0). 13. Let ¢ be the singular inner function corresponding to the measure aDl, a > O. If M l and M 2 are invariant subspaces for HP, 1 ~ p < 00, and both contain ¢HP, show that either MIS;; M 2 or M 2 S;; MI. (See Sarason [1965] for more on this situation.) 14. Let M l and M 2 be invariant subspaces of HP such that M l S;; M 2. If ¢l and ¢2 are the corresponding functions in I, give a necessary and sufficient condition in terms of ¢l and ¢2 that dim(M 2/ M l ) < 00. If dim(M 2/ M l ) > 1, show that there is an invariant subspace M such that M l S;; M S;; M 2 and M =F M l or M 2 • 15. (Conway [1973]) Endow I with the relative weak* topology from Hoo, and for each ¢ in I let P> be the orthogonal projection of H 2 onto ¢H2. Show that if a sequence {¢n} in I converges weak* to ¢ in I, then P>n ---+ P> in the strong operator topology. 16. Show that the inner functions are weak* dense in the unit ball of H oo .
§6
Szego's Theorem
In this section we will study the spaces PP(fi) , the closure of the polynomials in LP(fi) for a measure fi supported on the unit circle. For p = 00, POO(fi)
~_,
296
20. Hardy Spaces
denotes the weak* closure of the polynomials in Loo(p,). In particular we will prove Szeg6's Theorem (6.6). Let A denote the disk algebra (§4) and let A o = U E A : f(O) = O}; so A o is a maximal ideal in the algebra A. If J1 is a positive measure on [)][]l, let Pl;(J1) be the closure of A o in V(J1). (p = oo?) Since PP(J1) is the closure of A in LP(J1), we have that dim[PP(J1)/ Pl;(J1)] ::; 1. If J1 = m, Lebesgue measure on [)][]l, then this dimension equals 1. Can it be O? The answer is easily seen to be yes by taking J1 to be the unit point mass at 1. However the general answer is the key to this section. First, a few recollections from measure theory. If J1 is a measure and J1 = v + 17, where v and 17 are mutually singular measures, then for 1 ::; p ::; 00 the space V(J1) splits into a direct sum, V(J1) = V(v) EB V(17). For a function f in LP (J1) this decomposition is achieved by restricting f to the two disjoint carriers of the mutually singular measures. Thus for f = 9 EB h, flfllp = Ilgllp + Ilhll p when 1 ::; p < 00 and Ilflloo = max{l\glloo, Ilhll oo }. This natural decomposition will be always lurking in the background of the discussion that follows. 6.1 Proposition. If 1 ::; p ::;
and J1 is a positive measure on [)][]l with J1 = J1a + J1s the Lebesgue decomposition of J1 with respect to m, then Pl;(J1)
00
=
Pl;(J1a) EB V(J1s)'
6.2 Corollary. If 1 ::; p
<
and J1 is a positive measure on [)][]l with absolut~ltJ continuous part J1a, then inf
IEA o
/11-
~= ... =.~_
.~o
~~~~.
__=~= TW~
~.~_,~~_c.=
w_~
Z]L;_~=
==.='=-.__
~_,~~_
'~~_~~
297
20.6. Szego's Theorem
6.3 Proposition. If h is a non-negative junction in
exp
[J
lOghdm]
=
inf
{J
heg dm: 9
E
L~(m)
£1 (m)! then
and
J
gdm
=
o}.
Proof. If 9 E L~(m) and J gdm = 0, then Jlog(heg)dm = J(logh + g)dm = Jloghdm. Thus letting J1 = m in Proposition 19.4.13 and replac ing h by log(he g ), we get exp [/ logh dm] ::; inf { / hegdm: 9 E LMm) and / 9 dm = If c: > 0, let CE = Jlog(h
+ e)dm
and put gE
=
C
o}.
E -log(h + c:). Thus
gEL~(m) and J gEdm = O. Also J heg'dm = J he c , (h+e)-ldm = eC ' J h(h+
c:)-ldm. Now CE - t Jloghdm by monotone convergence. On the other hand, J h(h + c:) -1 dm - t 1. Thus J heg· dm - t exp [J log hdm], proving the proposition. 0 6.4 Lemma. If h is a non-negative function in £1 (m) and 9 E L~ (m) with J gdm = 0, then there exists a sequence of functions {gn} in LJR'(m) such that J gndm = 0 for all n ~ 1 and J hegndm - t J hegdm as n - t 00.
Proof.
Proof. It is rudimentary that Pl;(J1) ~ Pl;(J1a)EBV(J1s) ~ V(J1a)tBV(J1s)' If p-l + q-l = 1, let 9 E Lq(J1) = Lq(J1a) tB Lq(J1s) such that J gfdJ1 = 0 for all f in A o. Thus J zn gdJ1 = 0 for all n ~ 1. By the F and M Riesz Theorem, gJ1« m. Thus 9 = 0 a.e. [J1s] and so 9 E Lq(J1a) and 9 -l LP(J1s). Consequently 9 -l Pl;(J1a) EB V(J1s)' The proposition now follows by the Hahn-Banach Theorem. 0
"':3?[!;1!!!!!i!~~
Let fn = 9 if Igi ::; nand 0 otherwise. Then
helndm = /
r
J1g1sn
hegdm +
r
h dm.
J1g1>n
Since hand 9 E £l(m), ~gl>n h dm - t 0 as n - t 00. By the Monotone Convergence Theorem, ~glSn hegdm - t J hegdm. Therefore J helndm - t
J hegdm. Let gn = fn - J fn· Then J hegndm = exp (- J fn) J helndm. Since J fn - t J 9 = 0, exp (- J fn) - t 1 and so J hegndm - t J hegdm. 0
00
ff PdJ1 = inf
IEAo
/11 -
fI PdJ1a'
We have seen that if h is a non-negative function in L 1 (m), then log h may fail to be integrable. In fact, log h E £1 if and only if there is a function f in HI with h = Ifl (Proposition 3.6). Because log x ::; x-I for x > 0, the only way that log h can fail to be integrable is for J log hdm = -00; that is, the approximating sums for the integral must diverge to -00. If this is indeed the case, then the expression exp [J log hdm] that appears in the subsequent text is to be interpreted as 0 (what else?).
6.5 Proposition. If hE £l(m) and h ~ 0, then
exp [ / log h dm] =
/ft [/ heRe I dm] .
Proof. Let Q: == inf /EAo [J heRe I dm] and {3 == inf {f hegdm : 9 E L~(m) and J 9 dm = O}. By Proposition 6.3, it must be shown that Q: = {3. But if f E A o, then J Ref dm = 0 and so Q: ~ {3. To obtain the other inequality, we first use the preceding lemma to see that {3 = inf {J hegdm : 9 E LR' (m) and J 9 dm = O}. Since for any polynomial p, JRep dm = Rep(O), it follows from Proposition 4.5 that {Ref: f E A o} is uniformly dense in {g E CIR([)][]l) : J 9 dm = O}. Thus if 9 E LJR'(m) with J 9 dm = 0, then there is a sequence of functions Un} from A o such that {Re f n} is uni formly bounded and Re fn - t 9 a.e. on [)][]l. By the Lebesgue Dominated
.~~~
~
298
20. Hardy Spaces
Convergence Theorem, J heRe fn dm 9 was arbitrary, so a ::::: (3. D
J he 9dm.
---+
Hence a :::::
J he 9dm.
But
6.6 Szego's Theorem. If 1 ::::: p < 00, /L is a positive measure on oIIJ), = /La + /Ls is the Lebesgue decomposition of /L with respect to m, and h is the Radon-Nikodym derivative of /La with respect to m, then
Proof.
J
~)
dm = -00.
Note that the condition in the preceding corollary is independent of p. The condition for p = 00 is different and less restrictive on /L. The proof of the final proposition of this section is immediate from Proposition 6.1. 6.9 Proposition. If /L is a positive measure on oIIJ), then P(f(/L) =I- LOO(/L)
flPd/L = exp [I log h dm] .
if and only if m
«
/L.
Using the preceding proposition, exp [I log h dm] =
9~nt
But epRe 9 = le9 P and if 9 E A o, then 11 flP and 1
6.7
LP (/L) if and only if
log (
/L
/~t 111 -
299
20.6. Szego's Theorem
exp [I logh dm]
1
f =
he
pRe
Exercises
9dm.
1 - e9 E A o. Hence epRe 9
=
2. If T
~ /~t 111- flPh dm.
Now let 9 E A o and apply (6.7) to the function h f - 9 + fglP is subharmonic, this yields
11 -
1. Without using any of the results of this section, show that if a > 0 and r = {e iO : 11" ~ IBI ~ a}, then every continuous function on r is the uniform limit of analytic polynomials.
-
glPdm]
>
11 -
glp· Since
f
E HP, is
f
0 T
in HP?
LOO(/L).
inf Ill-f-9+fgIPdm
fEA o
1
9~nt 11 - glPh dm.
The theorem now follows from Corollary 6.2. D Of course the left hand side of the equation in Szego's Theorem is pre cisely the distance in LP(/L) from the constant function 1 to the space Pg(/L). If this distance is zero, then 1 E Pg(/L). But this implies that, for n ~ 1, zzn = zn-1 E Pg(/L). Thus Pg(/L) is invariant for multiplication by z as well as z. Therefore Pg(/L) contains all polynomials in z and z and must equal LP (/L). This proves the next corollary.
a
6.8 Corollary. If 1 ::::: p < 00, /L is a positive measure on IIJ), and /L /La + /Ls is the Lebesgue decomposition of /L with respect to m, then Pg(/L)
f
E L 2 , show that the closed linear span in L 2 of the functions {zn f : n ~ O} is L 2 if and only if: (i) f does not vanish on a set of positive measure; (ii) log If I is not Lebesgue integrable. What hap pens for LP with p =I- 2?
This says that log 11 - glP E L 1 and a == J log 11 - glPdm ~ O. Put k = log 11 - glP - a and c = ea. Thus J k dm = 0, c ~ 1, and ce k = 11 - giP. By Proposition 6.3, applied to the original function h, exp [J log h dm] ::::: J hekdm::::: cJ hekdm = J 11- glPh dm. Combining this with (6.7) we get that =
is an analytic function and
a
> 1.
exp [I logh dm]
IIJ) ---+ IIJ)
3. Give an example of a measure /L on IIJ) such that /L and m are mutu ally absolutely continuous and Pl:(/L) = LP(/L). Note that P(f(/L) =I 4. If
exp [I log 11
:
= =
a
5. For 1 ::::: p ::::: 00 and /L a positive measure on IIJ), show that the following are equivalent: (a) Pg(/L) =I- LP(/L); (b) PP(/L) =I- LP(/L); (c) Pg(/L) =I- PP(/L).
_. __.... -
--_.-.. ·,o__-:_-~------=- --;-:;,:~_=,~-~::~~-"~-
._-.-.
-= __
. -_.-.
~C,,"'·
_~=_=~
=-
~~-==-::;::--,":-;,::::;-:::~~_:,:,:~~-
__ =-:?~~ __ ""_-.---:_ "'=o..~,.=
-o,~
•.•:
'-----
. .:~~~~:~~'~',~~:-.:~~~~~~~~~~-~.::-:-~.~ . ~~~"::':'"';'=~~~"::.:::::::'~:::-=.::==::::~~:-::-=::~
---:::::....-::.~..,";,=,_:,.,.-:-O"_~---::.~~_-:-.,-~.-=c_:,---.:-:;-,,~:::~~~-~~~T~~~~~~~~~:::·~~~~~~~~;:~·E?i~~~~?~'~--;:::.:.:;~c~~~.:':"~~,;
Chapter 21 Potential Theory in the Plane In this chapter we will continue the study of the Dirichlet problem. The emphasis here will be on finding the limits of the results and employing measure theory to do so. Potential theory is most fully developed in the literature for n-dimensional Euclidean space with n ~ 3. There is an essential difference between the plane and jRn for n 2: 3; the standard potential for C is the logarithmic potential of §19.5, while for higher dimensions it is a Newtonian potential. Classical works on complex analysis treat the case n = 2, but usually from a classical point of view. In this chapter the treatment of the classical re sults will be from a more modern point of view. Many of the results carry over to higher dimensions and the interested readers are invited to pursue this at their convenience. Good general references for this are Brelot [1959], Carleson [1967], Helms [1975], Landkof [1972], and Wermer [1974]. §1
Harmonic Measure
If G is a hyperbolic open set in the extended plane and u is a real-valued
continuous function on 8 oo G, then u is a solvable function for the Dirichlet problem. This leads to the following elementary result. 1.1 Proposition. If G is a hyperbolic open set and a E G, the map u u(a) is a positive linear functional of norm 1 on the space C IR (8oo G).
--->
Proof. Proposition 19.7.10 implies that u ---> u is linear. If '11, is a positive function in CIR (8oo G), then 0 E P(u, G); hence u ~ O. Therefore u ---> u(a) is a positive linear functional. Since i = 1, this functional has norm 1. 0
According to the preceding proposition, for each a in G there is a unique probability measure W a supported on 8 00 G such that 1.2
u(a) =
(
}aocG
u dw a
for each u in CIR (8oo G). 1.3 Definition. For any hyperbolic open set G and any point a in G, the unique probability mea.'mre W a supported on 8 00 G and satisfying (1.2) for
g
---
===
7_:::Z:;ZZ
-
57 _
- - ? F'
21. Potential Theory
302
every u in C IR (8oo G) is called harmonic measure for Gat a. To indicate the dependence of the measure on G, the notation w;'; will be used. If K is a compact subset of C and a E int K, then harmonic measure for K at a is the same as harmonic measure for int K at a. The point to remember here is that harmonic measure is only defined for hyperbolic sets. If K is compact, then G = int K is bounded and thus hyperbolic. In this book there will be little need for harmonic measure on a compact set. The next result·is left as an exercise for the reader.
_-.,a$~??E
__ w,:,,·
"'"""'"
'"""_.~-
=
- - - "..
~
303
21.1. Harmonic Measure
From the above formula, we know that for any Borel set ~ contained in aG, f.L(~) = IT-l(~) 17'1 dm. Assume that m(E) = O. Since 7 is a homeo morphism, E = 7- 1 (7(E)) and so f.L(7(E)) = 17'[ dm = O. Conversely, if f.L(7(E)) = 0, then 7' = 0 a.e. [m] on E. Since 7' E HI and is not the zero function, this implies that m(E) = O. On the other hand, if u E CIR(aG), then u 0 7 E CIR(a]ill). Let h be the solution of the Dirichlet problem on ]ill with boundary values u 0 7. It is easy to see that h 0 7- 1 is the solution of the Dirichlet problem on G with boundary values u. That is, h 0 7- 1 = u. Hence
IE
J
J
u dw a = u(a) = h(O) =
1.4 Proposition. If G is a hyperbolic set and a E G, then (1.2) holds for
u
0 7
dm.
all bounded Borel functions u.
Note that this proposition says that wa(b.) = x~(a) for any Borel subset of 80a G and any point a in G. From the comments following Theorem 15.2.5 we see that, for an ana lytic Jordan region, harmonic measure at the point a is absolutely contin uous with respect to arc length measure on the boundary; and the Radon Nikodym derivative is 8 gal 8 n, the derivative of the Green function with respect to the exterior normal to the boundary. An interpretation of The orem 10.2.4 shows that if G = ]ill and a E ]ill, then dw a = Pa dm, where Pa is the Poisson kernel at a and m is normalized arc length measure on a]ill. Thus in these examples, harmonic measure and arc length measure on the boundary are mutually absolutely continuous. (Recall that two measures f.L and l/ are said to be mutually absolutely continuous if they have the same sets of measure 0.) This is not an isolated incident.
a
1.5 Theorem. If G is a bounded simply connected region such that G is a rectifiable Jordan curve, then harmonic measure for G and arc length measure on aG are mutually absolutely continuous.
Proof. Fix a in G and let 7 : ]ill -+ G be the Riemann map such that 7(0) = a and 7'(0) > o. By Theorem 14.5.6 (also see Theorem 20.4.8), iO 7 extends to a homeomorphism 7 : cl ]ill -+ cl G. Thus B -+ 7(e ) is a parameterization of aGo Since aG is a rectifiable curve, Theorem 14.5.8 implies that B -+ 7(e iO ) is absolutely continuous and 7' is in the space HI. According to (20.4.9) the derivative of the function B -+ 7( e iO ) is ie i0 7' (e iO ), where 7'(e iO ) is the radial limit of 7'. So if u : aG -+ lR is a continuous function, the measure f.L defined on G by
J
u df.L = - 1 27T
1
a
Since u was arbitrary, this implies that W a = m 0 7- 1 . Thus for a Borel subset b. of aG, wa(b.) = 0 if and only if m(7- 1 (b.)) = O. In light of the claim, this proves the theorem. 0 The above result has an extension to a finitely connected Jordan region with rectifiable boundary. If G is such a region and its boundary r = G consists of analytic curves, then this is immediate from Theorem 15.2.5. If r only consists of rectifiable curves, then a more careful analysis is needed. Also see Exercise 4. In Exercise 2 part of a fact that emerged from the preceding proof is extracted for later use. The basic problem that is touched on in that exercise is the following. If 7 : G -+ n is a surjective analytic function, can harmonic measure for n be expressed in terms of harmonic measure for G? The next proposition settles this for bounded Dirichlet regions.
a
1.6 Proposition. Suppose G is a bounded Dirichlet region, 7 : JI}l -+ G is an analytic function with 7(0) = a, and 7' denotes the mdiallimit function of 7. If 7'(a]ill) ~ aG, then = m 0 7'-1.
we;
1
u(7(e''0 ))
0
'0 17,(e' )1
10 107
1
J
f dwc; = 1(7(0))
2
11"
1 1
Proof. Let f : aG -+ lR be a continuous function and the solution of the Dirichlet problem on G with boundary values f; so extends to a continuous function on cl G with = f on aG. If a E a]ill such that 7 has 7(ra) -+ f(7'(a)) = f 0 7'(a). That a radial limit at a and r -+ 1-, then is, the bounded harmonic function on JI}l has radial limits equal to f 7' a.e. on aJl}l. Therefore 0 7 = f--;;7' and so
dB
=
f--;;7'(O)
=
0
J f
0
7' dm
=
J
f dm
0
7'-1.
o
is (non-normalized) arc length measure. Claim. If E is a Borel subset of a]ill, then m(E) f.L(7(E)) = O.
o if
and only if
In general, we will not be so concerned with the exact form of harmonic measure but rather with its measure class; that is, with the sets of harmonic
304
21. Potential Theory
measure O. When two measures /.L and v are mutually absolutely continu ous, we can form the two Radon-Nikodym derivatives d/.L/dv and dv/d/.L. Say that /.L and v are boundedly mutually absolutely continuous if they are mutually absolutely continuous and the two Radon-Nikodym derivatives are bounded functions. 1. 7 Theorem. If G is a hyperbolic open subset of the plane and a and b
belong to the same component of G, then the harmonic measures for G at a and b, Wa and Wb, are boundedly mutually absolutely continuous. Moreover, there is a constant- P > 0 (depending only on a, b, and G) such that if H is any hyperbolic open set containing G and fla and /.Lb are the harmonic measures for H at a and b, then Pfla :s flb :s p- 1 /.La' Proof. This follows from Harnack's Inequality. If B(a; R) <;;; G, Ib - al = r < R, and u is a positive continuous function on oooG, then Harnack's Inequality implies that pu(a) :s u(b) :s p- 1 u(a), where p = (R-r)/(R+r). Thus p J u dw a :s J u dw b :s p-l J U dw a · But this implies that p wa(~) :s Wb(~) :s p-l wa(~) for every Borel set ~ contained in 0 00 G. Thus Wa and Wb are boundedly mutually absolutely continuous and
< dw b < -1 - p
P - dw
in this case. So if a and b belong to the same component of G, LP(w a ) LP(Wb) for all p. We are led to the following definition for regions only. 1.8 Definition. If G is a region and 1 :s; p < is any point in G.
00,
=
LP(oG) == LP(wa ), where
a
. So the preceding discussion says that the definition of this space LP (0 G) does not depend on the choice of point a in G, though the value of the norm of a function in the space will depend on the choice of a. We return to the case of an arbitrary (not necessarily connected) hyperbolic open set G. 1.9 Proposition. If a E G and G is hyperbolic, then for any Borel set ~ disjoint from the boundary of the component of G that contains a, Wa (~) = O. Thus the support ofwa is contained in oooG a , where G a is the component of G that contains a.
Proof. Note that if the notation is as in the statement of the theorem and ¢ E p(XC!.,G), then limsupz-+(¢(z):s XC!.(() = 0 for (in oGa . Thus ¢1 = max{¢, O} E p(XC!., G) and ¢1 vanishes on Ga and so we have that 0= fi(a) = wa(~)' 0
a
Note that this constant p depends on a, b, and G alone. Thus the same inequalities hold for fla and flb:
< dflb <
p- -d -p
-1
fla
In light of the last few results it is tempting to believe that the harmonic measures for points in distinct components of G are mutually singular. This is not the case, as the next example demonstrates. 1.10 Example. A string of beads is a compact set
K
If a and b belong to the same component of G, then there are points
ao,··. ,an and positive numbers R o, ... , Rn such that: (i) a = ao, b = an; (ii) laj - aj-ll < R j , 1 :s j :s n; (iii) B(aj; R j ) <;;; G. By the preceding paragraph, for 1 :s j :s n, waj and waj _ 1 are boundedly mutually abso lutely continuous with constant Pj. Thus Wa and Wb are mutually absolutely continuous and dw a dw ao dw a1 dwan _ 1 • , dw b dwa1 dw a2 dwan hence
< dw b <
P - dw
305
21.1. Harmonic Measure
a
-
-1
P
where P = PIP2 ... Pn. Similarly, the same inequality holds for the measures /.La and /.Lb, 0 This result has some interesting consequences. If /.L and v are boundedly mutually absolutely continuous measures, then the identity mapping on bounded Borel functions induces a bounded bijection of LP(/.L) onto LP(v) for all p. (See Exercise 3.) Thus we can legitimately say that LP(/.L) = LP(v)
where
{~n}
(i) cl ~n
= [cllJ))] \
U~=1 ~n,
is a sequence of open disks in lJ)) having the following properties:
n cl ~m = 0 for n -=I- m;
(ii) the center of each
~n
lies on the interval [-1,1];
(iii) [-1,1] \ Un~n contains no interval; (iv) [-1, 1] n K has positive one-dimensional Lebesgue measure. To construct K, first construct a Cantor set in [-1, 1] with positive Lebesgue measure and replace each deleted subinterval of [-1, 1] with an open disk ~n' The details of the construction of this set are left to the reader. Notice that G = int K has two components, each of which is simply connected with a boundary that is a rectifiable Jordan curve; denote these components by Q+ and Q_. Let a± E Q± and let W± = harmonic measure for G at the point a±. Since 0 Q± is a rectifiable Jordan curve (why?), W± and arc length measure on 0 Q± are mutually absolutely continuous (1.5). Thus W+ and w_ are not mutually singular.
II
21. Potential Theory
306
We now characterize solvable functions for a hyperbolic open set. But first we will see a lemma.
1.11 Lemma. If C is a hyperbolic set, a E C, and f : 8 00 C ---. [-00,00) is an upper semicontinuous function that is bounded above and satisfies j(a) > -00, then f E L 1 (w a ). Proof. According to Theorem 19.3.6 there is a decreasing sequence {In} of continuous functions on 800 C such that for each ( in 800 C, fn(() ! f((). By Corollary 19,7.12, jn(a) ---. j(a). On the other hand, the Monotone Convergence Theorem implies that J fn dw a ---. J f dw a . By (1.2), j(a) = J f dw a . Since f is bounded above and J f dw a > -00, fELl (w a ). 0
1.12 Brelot's Theorem. Let C be a hyperbolic set and let u be an extended real-valued junction on 800 C. If U is solvable, then for all z in C, U is integrable with respect to W z and u(z)
=
J
U
dw z ·
21.1. Harmonic Measure
1.13 Proposition. Let C be a hyperbolic open set and let 9 : 8 00 C ---. R. be a bounded Borel function; denote by fj the solution of the Dirichlet Problem on C with boundary values g. If H is an open subset of C and h : 800 H ---. lR is defined by h(() = fj(() for ( in 8 00 H n C and h(() = g(() for ( in 800 H n 800 C, then h is a solvable function for Hand h = fj on H. Proof. In fact, if ¢ E p(g, C), then ¢IH E P(h, H); hence fj :S: h on H. Similarly, !J ~ h on H. Since C is hyperbolic, we get that h = h = g on H.
o
1.14 Corollary. If C is a hyperbolic open set and H an open subset of C, then for any Borel subset Ll of 800 C n 800 H, w;; (Ll) :S: w~(Ll) for all a in H. Proof. Note that z ---. w,?(Ll) is the solution of the Dirichlet problem on C with boundary values 9 = x~. If h : 800 H ---. R. is defined by h(z) = w,?(Ll) for z in 800 HnC and h(z) = g(z) for z in 800 Hn800 C, then the preceding proposition implies that for z in H, w,?(Ll)
Conversely, if for each component of C there is a point a in that component such that U E L 1 (w a ), then U is solvable. Proof. By Corollary 19.7.7 it suffices to assume that C is connected. As sume that U is solvable and fix a point z in C. According to Proposi tion 19.7.8.b there is an increasing sequence of upper semicontinuous func tions {Un} on 800 C such that each Un is bounded above, Un :S: u, and un(z) ---. u(z). Similarly, there is a decreasing sequence of lower semicon tinuous functions {v n } on 800 C such that each V n is bounded below, V n ~ u, and vn(z) ---. u(z). Because U is solvable, it can be assumed that un(z) and vn(z) are all finite numbers. By the preceding lemma, each Un and V n is in tegrable with respect to W z . But Un :S: U :S: V n and so U E L1(w z ). Moreover, J undw z = un(z) :S: u(z) :S: vn(z) = J vndw z · Since 0 = limn J(v n -Un) dw z , we have that u(z) = JU dw z · Now assume that there is a point a in C such that U E L 1 (w a ). By Theorem 1.7, U is integrable with respect to W z for each z in C. It suffices to assume that u ~ O. From measure theory there is a sequence of non negative bounded Borel functions {un} such that U = I:n Un' Since each Un is solvable, for each z in C, 0 :S: I:n un(z) = I:n J Un dw z = J u dw z < 00. According to Proposition 19.7.11, U is a solvable function. 0
The next result will be used later and could have been proved earlier. It was postponed until now because the corollary is the chief objective here and this was meaningless until harmonic measure was introduced. Note that the next proposition generalizes Proposition 19.7.6. (The result is quite useful in spite of the fact that its statement is longer than its proof, usually a sign of mathematical banality.)
307
since h
~ x~
= h(z) =
J
h dwlj
~ wlj (Ll)
on 800 H. 0
1.15 Corollary. Let C and 0 be hyperbolic open sets with C ~ O. If K is a compact subset of 800 C such that w~\K (K) = 0 for all a in C, then w~(K) = 0 for all a in C. Proof. First observe that the hypothesis implies that K is a subset of 800 (0 \ K) n 800 C. So the preceding corollary implies w~(K) :S: w~\K (K) for all a in C. 0
The section concludes with an application of harmonic measure to obtain a formula for the Green function of a hyperbolic open set. In order to set the stage for this, we must first show that the logarithm is integrable with respect to harmonic measure. Using Theorem 1.12, this will produce a solution of the Dirichlet problem with logarithmic boundary values and lead to the sought formula.
1.16 Lemma. If 0 is a hyperbolic open subset of Coo such that 00 E 0 and a E 80, then for every bin 0, Wb( {a}) = 0 and the function ( ---. log I( -al belongs to L 1(Wb)' Proof. Let g(z, 00) be the Green function for 0 with singularity at 00 and put h(z) = g(z, 00) -log Iz - al. So h(z) = g(z, 00) -log Izl-Iog 11- a/zl and h is a harmonic function on O. Now 80 is bounded and so there is a constant C such that log I( - a/ :S: C on 80.
21. Potential Theory
308
Let {Un} be a sequence of continuous functions on en such that Un ~ -0, un(O r log I( - al- 1 for ( in en and ( i= a, and un(a) i= 00; put h n = Un- So {h n } is an increasing sequence of harmonic functions on n. If ¢ E P(un,n) and ( E en, then limsupz-->d¢(z) + log Iz - all :s: U n (() + log I( - al :s: 0 :s: liminf z-->( g(z, 00). According to the Maximum Principle, ¢(z) + loglz - a\ :s: g(z,oo) on 0.; hence ¢ :s: h on 0. and so h n :s: h. Therefore for each n, h(b)
~
It should be emphasized that in the next theorem the open set is assumed to not contain the point 00. For a hyperbolic open set that contains 00 the formula for the Green function is in the succeeding theorem.
1.19 Theorem. If C is a hyperbolic open set contained in C, a
r
Jon\{a}
g(z, a) =
undw b
J
log I( - al dwb
log I( -
lim inf['ljJ(z) - log Iz - all
So if wb(a) > 0, the right hand side converges to 00 as n ---. 00, a contra diction. To show the integrability of the logarithm, take the limit in the above inequality to get
~-
J
al dw z (()
-log Iz - al·
eeoc,
> un(a)wb({a}) - O.
> h(b)
C, and
Proof. According to the preceding proposition the integral in this formula is well defined. Let h(z, a) denote the right hand side of the above equation and fix a in C. Clearly h is harmonic in C \ {a}. If'ljJ E P(log I( - a[, C), then 'ljJ(z) -log Iz - al is superharmonic on C and, for ( in
Undwb
un(a)wb({a})+
E
9 (z, a) is the Green function for C with singularity at a, then
hn(b)
J
00
309
21.1. Harmonic Measure
~ -C.
Thus log I( - al E £l(Wb)' 0 Amongst other things, the preceding lemma says that harmonic measure has no atoms for regions of that type. In the above lemma note that if a E C \ en, log I( - a[ is a bounded continuous function on the boundary and is thus integrable. The next result is part of the reason for the preceding lemma and the succeeding proposition is another.
z~(
lim inf'ljJ(z) - log I( - al
z-->(
> O.
Cn.
But J log I( - al dw z = inf{'ljJ(z) : 'ljJ E P(log I( - ai, So h(z, a) ~ 0 for all z in C. Clearly h(z, a) + log Iz - al is harmonic near a. By the definition of the Green function, h(z, a) ~ g(z, a). On the other hand, let 'ljJ be a positive superharmonic function on C such that 'ljJ(z)+log Iz-al is also superharmonic. It follows that lim infz-->d'ljJ(z)+ log Iz - all ~ log I( - al· Thus 'ljJ(z) + log Iz - aJ ~ J log I( - a\ dw z · Applying Proposition 19.9.10 we get that g(z, a) ~ h(z, a). 0
1.20 Theorem. If 0. is a hyperbolic open set in the extended plane such that 00 E 0., a E 0., andg(w,a) is the Green function for 0. with singularity at a
i=
00,
then for every w
g(w,a)=
1.17 Proposition. If C is hyperbolic, then Wa has no atoms.
=
i= 00
r logl(-aldw~(()-loglw-al+g(w,oo).
Jon
Proof. This is immediate from the preceding lemma since, by the choice of a suitable Mobius transformation, any hyperbolic open set C can be mapped onto a hyperbolic open set 0. such that 00 E n. Once this is done we need only apply Exercise 2 and the preceding lemma. 0
If,8 is a point not in 0., then for every choice of distinct a and w in 0. g(w,a)
=
1.18 Proposition. If C is hyperbolic and a E C, then the function ( ---. log I( - al belongs to £l(Wb) for every b in C.
In particular, for w
i=
Proof. Without loss of generality we may assume that 0 E C. Let 7(Z) = Z-l and put 0. = 7(C). So 00 En. According to Exercise 2, WP/b = 0 7
wf
wf
and = wP/b 07 (since 7 = 7- 1 ). Fix b in C. By Lemma 1.16, log I( -,81 E £l(wP/b) for every,8 in C; thus log 1(-1 -,BJ E £l(wf). Taking,8 = 0 gives that log 1(1 = -log 1(1- 1 E £l(wf). Taking ,8 = l/a, a i= 0, gives that log I( - al = log [(-I -,BJ + log 1(1 + log lal E £l(wf). 0
g(w, 00)
~oIOgl(~=;) (:=~)I dw~((). 00
in 0.,
~O log \ (~ =:) I dw~(()
- Jon r log I( -,81 dw~(() + log Iw - ,81· Proof. In this proof the Green function for 0. will be denoted by gO. Take any point ,8 that does not belong to 0. and let 7( w) = (w - ,8) -1; put
310
21. Potential Theory
21.2. The Sweep of a Measure
G = 7(0). So G is hyperbolic, 00 (j. G, and 0 = 7(00) E G. If gC is the Green function for G, then for every w and a in 0
gn(w,a)
aeoc
log
I~ - 7(a)1 dw-?c",)(~)
functions u and all continuous.
r
Jan log
-log
a-{3
\((-a) (- (3
w-{3
=
wf
[
Jan
log I( - a\
n
dw~(() Jan
-log Iw - al log I( - (31
dw~(() -log Iw -
dw~(() aJ + gn(w, 00).
> 0, put G
Coo \ B(O; R) and show that for every continuous 2Tr function f on 8G, I f dw~ = 2~ I o f(R e- i8 ) de.
5. For R
(W-{3)1 W _ a dw w (()'
+ log Iw - {31- [ [ log I( - al Jan
'Y is a circle and a is its center.
a-{3
This gives all but the first of the formulas in the theorem. To obtain the first, assume neither w nor a is 00 and use the properties of the logarithm and the fact that harmonic measure is a probability measure. This gives
f in V(/l), then /l and v are mutually absolutely
4. (Spraker [1989]) Suppose'Y is a smooth Jordan curve, G = ins r, and a E G. Show that if = normalized arc length measure on 'Y, then
-log 17(W) - 7(a)1
1_1 1_1 dw~(() 1_1 1_1
[ log Jan (-{3
gn(w, a)
T: LP(/l) ---+ LP(v) such that T(uf) = u T(f) for all bounded Borel
gC(7(w),7(a))
1
311
=
6. If G = Coo \ [0,1], what is harmonic measure for G at oo?
§2 * The Sweep of a Measure If G is a hyperbolic open set and u E C(800 G), let, as usual, u be the solution of the Dirichlet problem. Thus if /l is a bounded regular Borel measure carried by G, u d/l is well defined and finite. In fact, u d/ll :s: Ii/lil Ilull oo II/ll\ Ilullaooc. That is, ---+ u d/l is a bounded linear functional on C(800 G). Thus there is a measure {i supported on 800 G such that
:s:
Ic
D
u
[ u d/l =
2.1
Jc
1
aeoc
IIc
Ic
u d{i
for every u in C(800 G).
Exercises 1. Prove Proposition 1.4.
2. If 7 : G ---+ 0 is a conformal equivalence that extends to a homeo morphism between the closures in the extended plane, a E G, and 1 a = 7(a), then 0 7- = w~.
wf
3. Assume that /l and v are finite measures on the same set X. (a) Show that if /l and v are mutually absolutely continuous (but not necessar ily boundedly so), then the identity mapping on the bounded Borel functions induces an isometric isomorphism of Loo(/l) onto Loo(v) that is a homeomorphism for the weak" topology. (b) Conversely, show that if T : Loo(/l) ---+ Loo(v) is an isometric isomorphism that is the identity on characteristic functions and T is a weak" homeomor phism, then /l and v are mutually absolutely continuous. (c) If /l and v are mutually absolutely continuous and ¢ = d/l/dv, show that for 1 :s: p < 00, the map T f = f ¢l/p defines an isometric isomorphism of LP(/l) onto V(v) such that T(uf) = uT(f) for all u in Loo(/l) and f in LP (/l). (d) Conversely, if there is an isometric isomorphism
2.2 Definition. If G is a hyperbolic open set and /l E M(G), the sweep of /l is the measure {i defined by (2.1). Caution here, intrepid reader. The notation for the sweep of a measure is the same as that for the Cauchy transform. This coincidence does not reflect on humanity or provide a commentary on the lack of notational imagination. Though unfortunate, the notation is traditional. Note that if a E G and W a is harmonic measure for G at a, then for c u dw a . Equivalently, every continuous function u on 800 G, u(a) = eo u d8a = dw a • Thus the sweep of 8a is w a • There is often in the literature the desire to discuss the sweep of a mea sure /l carrie~y a compact subset K of C. In this case the sweep of /l is /l18 K + /ll (int K). The next proof is left to the reader.
Ic
Iaooc u
Ia
"This section can be skipped if desired, as the remainder of the book does not depend on it.
21. Potential Theory
312
2.3 Proposition. The map Ii ---., il is a contmctive linear map of M(G) into M(o=G). Often we are not so interested in harmonic measure itself but rather with its measure class (that is, the collection of measures that have the same sets of measure 0 as harmonic measure). This applies to non-connected hyperbolic open sets as well as regions. With this in mind, let us introduce the following idea.
21.3. The Robin Constant ~...
that Xtl. ::::; Un ::::; 1 for all n ;::: 1 and {un (z)} decreases monotonically to Xtl.(z) for each z in o=G. If a E G, then un(a) = I Un dW a ---., wa(~) = O. Since 0 ::::; un(a) ::::; 1 for all n ;::: 1 and for all a in G, fl(~) = lim I Un dil = lim I G it n dli = O. D
Exercises
2.4 Definition. L~t G be a hyperbolic open set with components G 1 , G 2 , ... and for each n ;::: 1 pick a point an in G n . If W n is harmonic measure for G at an and w = Ln 2- nwn , then harmonic measure for G is any measure on o=G that has the same sets of measure zero as w. Thus harmonic measure for a hyperbolic open set is actually a mea sure class [w], rather than a specific measure. This means it is impossible to define the £P space of the class if 1 < p < 00. Indeed if the points an in Definition 2.4 are replaced by points a~ with w~ the corresponding harmonic measure, the spaces LP(w n ) and LP(w~) are isomorphic via the identity map but not isometrically isomorphic. Thus, in the presence of an infinite number of components, the spaces LP(w) and LP(w') may not even be isomorphic under the identity map. \Ve can, however, define the L 1 space and the L= space since the definitions of these spaces actually only depend on the collection of sets of measure O. 2.5 Definition. If G is a hyperbolic open set and w is harmonic measure for G, define
L=(o=G) L 1(0=G)
{f : f is w - essentially bounded}, {Ii E M(o=G) : Ii« w}.
313
1. Suppose that int K is a Dirichlet set and show that bounded linear map of C(O K) into C(K).
U
---.,
u is
a
What is the dual of this map?
2. If Ii is a positive measure carried by [J), define RJL : 0]])) ---., lR by RIJ. (() = Pc:dli, where Pc: is the Poisson kernel. Let m be normal ized arc length measure on 0]])). (a) Show that RJL is a non-negative function in L 1 (m). (b) If f E H=, show that Ifl 2 dli ::::; I Ifl 2RJLdm. (c) Prove that il = RJL m.
J
II)
§3
The Robin Constant
Recall that, for a compact subset K of C, the Green function for C= \ K near the point at infinity is precisely the Green function for C= \ K. Keep this in mind while reading the definition of the Robin constant below.
3.1 Definition. If K is any compact subset of C such that C= \ K is hyperbolic, then the Robin constant for K is the number rob(K) defined by rob(K) == lim [g(z, 00) -log IzlJ, z->=
As usual, functions in L=(o=G) are identified if they agree a.e. [w]. Thus L=(o=G) = L=(w) and the definition of the norm on L=(o=G) is independent of which form of harmonic measure for G we choose. The same is not quite true for L 1(0=G). If wand w' are two harmonic measures for G that are not boundedly mutually absolutely continuous, then L1 (w) and L 1 (w') can be significantly different if we define these spaces as spaces of integrable functions. In fact, these spaces may not be equal as sets, let alone isometric as Banach spaces. But the definition of L1 (o=G) given above as a subspace of M(o=G) with the total variation norm removes this ambiguity. 2.6 Proposition. If Ii E M( G), then il, the sweep of Ii, belongs to L1 (o=G). Proof. Adopt the notation of Definition 2.4 and let ~ be a compact subset of o=G with w(~) = O. It suffices to assume that Ii ;::: 0 and show that il(~) = O. Let {un} be a sequence of continuous functions on o=G such
where 9 is the Green function for C= \ K. If C= \ K is parabolic, define
rob(K) =
00.
First note that when C= \ K is hyperbolic, rob(K) < 00 from the def inition of the Green function. So rob(K) = 00 if and only if C= \ K is parabolic. Next, the remarks preceding the definition show that rob(K) = rob(oK) = rob(K) if C= \ K is hyperbolic; Proposition 19.9.5 implies the same thing in the parabolic case. Another observation that will be useful in the sequel is that for any complex number a
rob(K) = lim [g(z, 00) -log Iz z->=
all.
Indeed, log Izi -log Iz - al = log 11 - a/zl ---., 0 as z ---., 00. The following results often make it easier to compute the Robin constant of a compact connected set.
314
21. Potential Theory
3.2 Proposition. Let K be a compact connected subset of C and let G be the component of c,X) \ K that contains 00. If 7 ; G ---+ JI)) is the Riemann map with 7(00) = 0 and p = 7'(00) > 0, then rob(K) = -logp. If f = 7- 1 : JI)) ---+ G, then p = limw--->o w f(w) = Res(f; 0). Proof. 'Note that p = 7'(00) = limz--->oo z 7(Z) = limw--->ow f(w), which is the residue of f at the simple pole at O. Thus it suffices to prove the first statement. To this end, we observe that -logI7(z)1 = g(z,oo), the Green function for G with singularity at 00 (19.9.2). Thus rob(K)
21.4. The Green Potential
315
Letting z ---+ 00 shows that Lw(a) = 'Y for a rJ- cl G. Finally, the fact that the Green function is positive implies that Lw(z) S; 'Y for all z in C \ BG. But L w is Isc and so for each ( in BG, L w (() < liminf z--->( Lw(z) S; 'Y. 0
Exercises 1. If G is any hyperbolic region and {zn} is a sequence in G that con verges to z in G, then wZn ---+ W z in the weak* topology on M(BooG).
lim [-log 17(Z)I- log IzlJ z--->oo lim -log [z 7(Z) I z--->oo -logp.
2. If K is a closed arc on a circle of radius R that has length () R, show that rob(K) = -log[R sin((}/4)]. 3. If K is the ellipse x 2/a 2 + y2/b 2 = 1, then rob(K)
o
For the next corollary see Example 14.1.4.
5. If R > 0, show that (2rr)-1 J:'" log Iz - Re ill l- 1dB equals log R-1 if Izi < R and log Izl- 1 if Izi > R.
3.4 Corollary. If K is a straight line segment of length L, rob(K) -log(L/4).
6. Let R > 0 and let JL be the restriction of area measure to B( a; r). Show that LIL(z) = rrR 2 10glzl-1 if Izi ~ Rand LIL(z) = rrR2 [logR-1 + 1/2] - rrlzl 2 /2 for Izi S; R.
We will see the Robin constant again in §10.
3.5 Proposition. Let K be a compact subset of C such that Coo \ K is hyperbolic, let 'Y = rob( K), and let G be the component of Coo \ K that contains 00. If w is harmonic measure for G at 00 and L w is its logarithmic
7. Let JL be a positive measure on the plane with compact support con tained in the disk D = B(a; R). Show that 2~ J:'" LIL(a + Reill)dB = IIJLlllog R- 1 •
potential, then
~ { ~ - g(a,oo)
-log[(a + b)/2].
4. Let p(z) = Zn + a1Zn-1 + ... + an and put K = {z E C : Ip(z)\ S; R}. Show that rob(K) = -n- 1 10g R. (See Exercise 19.9.3.)
3.3 Corollary. If K is a closed disk of radius R, rob(K) = -log R.
Lw(a)
=
if a E G if a rJ- clG
§4
The Green Potential
and Lw(z) S; 'Y for all z in C. Proof. It can be assumed without loss of generality that K = k. Theorem 1.20 implies that g(z, a) = J log Iz - al dwz(() -log Iz - al + g(z, 00) for all finite a and z in G, z =F a. But g(z, a) = g(a, z) and so
L wz (a)
=
=
J
log I( - al- 1 dw z (()
[g(z, (0) -log Iz - al] - g(a, z).
Letting z ---+ 00 and using the fact L w (a) ---+ L w (a) (Exercise 1), we get that Lw(a) = 'Y - g(a, 00) for any finite point a in G. Now suppose that a rJ- cl G. Once again we invoke Theorem 1.20 to get that
g(z, (0) -log Iz -
al
=
J
log Iz -
ar 1dw z (()'
In this section G will always be a hyperbolic open set and 9 its Green function. We will define a potential associated with the Green function 9 and a positive measure JL carried by G. To justify the definition, we first prove the following. 4.1 Proposition. If JL is a finite positive measure on G and 4.2
GIL(z) =
J
g(z,w) dJL(w),
then GIL defines a positive superharmonic function on G that is not identi cally infinite on any component of G. Proof· First note that because both the Green function and the measure are positive, the function GIL is well defined, though it may be that GIL(z) =
21. Potential Theory
316
for some z. For n ~ 1, let gn(z, w) = min{g(z, w), n} and put fn(z) = dJL(w). By Proposition 19.4.6, gn is superharmonic. Since JL is positive, each function fn is superharmonic. Another application of (19.4.6) shows that GJL is superharmonic. Suppose there is a disk B = B(a; r) contained in G with JL(B) = O. Let C ~ g(z, a) for all z in G\B. Then GJL(a) = fC\B g(a, w) dJL(w) ::; C IIJLII < 00
f gn(z, w)
00.
Now return to the case that JL is arbitrary and let B be any disk contained in G. Let 1/ = JLIB and 'T/ = JLI(G \ B). Clearly G" = G v + Gry and, by the preceding paragraph, neither G v nor G T) are identically 00 on the component containing B. By Proposition 19.4.11, GJL is not identically 00 on this arbitrary component. 0 Because the Green function is positive, the function (4.2) is well defined even if the measure JL is not finite (though it must be assumed to be a posi tive measure). In case JL is not finite, the Green potential may be identically 00 on some components of G. There may also be some positive measures JL that are infinite but such that the function (4.2) is finite valued. See Example 4.4 below. 4.3 Definition. If G is a hyperbolic open set and JL is a positive (extended real-valued) measure on G, the Green potential of JL is the function GJL defined in (4.2). 4.4 Example. If G is the unit disk lI)), the Green function is given by g(z, w) = -log(lz - wl/11- zwl). Thus for any positive measure JL on lI)),
GJL(z) = LJL(z) -
J
If {an} is any sequence of points in
GJL(z) =
log 11- zwl-IdJL(w).
lI))
and JL
and this function is finite-valued for z Exercise 8.5.4).
:I
= 'l::n Dan' then
When we discuss the Green potential, it will always be understood that there is an underlying hyperbolic open set G whose Green function is used to define this potential.
4.5 Theorem. If G is a hyperbolic open set, W z is harmonic measure for G at z, and JL is a positive measure with compact support contained in G, then GJL(z) = LJL(z) LJL(() dwz(()
r
Jac
for all z in G. Proof. Recall (1.16) that for any z, w in G the function ( ----> log I( - wi belongs to L1(w z ). Since JL has compact support, it follows that log I( -wi E L1(w z x JL). Indeed, for z fixed the function w ----> flog I( - wi dw z (() is harmonic on G and thus bounded on supp JL. Therefore Fubini's Theorem applies and we get that
r r logl(-wl-1dwz(()dJL(w)
JcJac
r r wl-1dJL(w) dw z (() r LJL(() dw z ((). Jac JacJc
log I( -
From Theorem 1.19 it follows that
g(z, w) = -
r Jac
log I( - wl- 1 dwz(()
+ log Iz -
wi-I.
Integrating both sides with respect to JL and using the preceding equation gives the formula for GJL in the theorem. 0
4.6 Corollary. If JL is a positive measure on G with compact support, then G" - LJL is a harmonic function on G.
I
an if 'l::n(1 - lanl) <
317
The subsequent corollary follows from the observation that as a function of z the integral in (4.5) is harmonic on G.
z - an 00 log 1 _ zan ~ '
I
21.4. The Green Potential
00
(see
Shortly we will see a connection between the Green potential and the logarithmic potential of a compactly supported measure similar to the one exhibited for the disk in the preceding example. Each potential ha.'3 its advantages. The Green potential is always positive and this has important consequences. In addition, the Green potential readily extends to higher dimensional spaces with important applications similar to the ones we will see below. This is not the case for the logarithmic potential. On the other hand, the definition of GJL depends on the choice of the open set G and is only defined there, while the definition of LJL is universal.
4.7 Corollary. If JL is a positive measure on G with compact support, then, considering GJL as a distribution on G,
l1G"
= -211" JL.
Consequently if H is an open subset of G such that GJL equals a harmonic junction a.e. [Area] on H, JL(H) = O. 4.8 Corollary. If JL and 1/ are two positive measures on G with compact support and there is a harmonic junction h on an open subset H of G with G 1, - G v = h on H, then JLIH = I/IH. As a positive superharmonic function GJL has a least harmonic minorant (19.8.2), which must be non-negative. From Proposition 19.9.2 we also know
~~_~~ £2£!J::**=2!;-'~I!!~':tf12!Jl~~~-:l:f~~n;~~,
21. Potential Theory
318
that for any point a in G the greatest harmonic minorant of the function 9a(z) = g(z,a) is the constantly function. This carries over to the Green potential of a positive measure.
°
4.9 Proposition. If It is a positive measure on G, then the greatest har monic minorant of the function GI-' is 0.
Proof. Let {G n } be a sequence of open subsets of G whose union is G such that cl G n <;:; Gn+1 and aG n is a finite system of Jordan curves. For z in G n let w~ be harmonic measure for Gn at z. If hn(z)
=
1
DG n
GI-'()
dw~()
then {h n } is an increasing sequence and h(z) = limn hn(z) for all z is the greatest harmonic minorant of GI-' (19.8.3). In a similar way define
gn(Z,W) =
1
DG n
g(w,()
dw~()
where 9 is the Green function for G. Extend the definition of gn by let ting 9n(Z, w) = g(z, w) for z in G \ Gn ; so for each w, z ----t gn(z, w) is superharmonic on G. Sinc~ the greatest harmonic minorant of 9 is 0, Corollary 19.8.3 implies that limn gn(z, w) = 0 for all z and w. But the Green function is positive, so we can apply Fubini's Theorem to get that hn(z) = 9n(Z,W) dJ.l(w). On the other hand, the Maximum Principle im plies 9n(Z, w) S 9(z, w) for all n. So Lebesgue's Dominated Convergence Theorem implies that hn(z) ----t 0; that is, h = O. 0
J
We are now in a position to prove another Riesz Decomposition The orem for subharmonic functions. (See Theorem 19.5.6.) After reading the statement of the theorem, the reader should look at Exercise 2. 4.10 Riesz Decomposition Theorem. If u is a subharmonic function
on G that is not identically -00 on any component, then there is a positive measure J.l (possibly infinite-valued) such that for every bounded open subset H of G with clH <;:; G there is a harmonic function h on H with u(z) = h(z) - G I-'IH (z) for all z in H. The function h is the least harmonic majomnt of u on H. If u is negative and h is the least harmonic majorant of u on G, then u = h - G I-' on G. Proof As in the proof of Theorem 19.5.6, J.l = Au in the sense of distri butions; and for any such open set H, if v = J.lIH, the harmonic function h on H exists such that u = h - G v on H. Since the Green potential is positive, u :S h on H so that h is a harmonic majorant. If k is another harmonic function on H with u S k, then G v = h - u 2: h - k. Since the
21.4. The Green Potential
319
greatest harmonic minorant of G v is 0, we have that, on H, 0 2: h - k or k 2: h. Therefore h is the least harmonic majorant of u on H. Now assume that u SOon G. Write G = UnHn , where each H n is a finitely connected Jordan region with cl H n <;:; H n +1 ; let gn be the Green function for H n . From the Maximum Principle we have that gn S gn+1 so that if J.ln = J.lIHn , GI-'n :S GI-'n+l on G n . In fact by monotone convergence, G I-'n (z) ----t G I-' (z) for all z in G. Let h n be the least harmonic majorant of u on H n so that u = h n - GJln there. Since u :S 0, hn :S O. Clearly {h n } is increasing. Therefore h(z) = limn hn(z) is a harmonic function on G and u = h - G w It is easy to see that h is the least harmonic majorant of u. 0 4.11 Corollary. If u is a positive superharmonic function on G that is not identically infinite on any component of G, then u is the Green potential of a positive measure on G if and only if the greatest harmonic minomnt of u is O. The next proposition is proved like Proposition 19.5.11. 4.12 Proposition. If J.l is a positive measure with compact support K in G and GI-'IK is continuous at a point a of K, then GI-' is continuous at a.
Exercises
1. What is the connection between the formula in Theorem 4.5 relating the Green potential and the logarithmic potential of a positive mea sure with compact support, and the formula obtained in Example 4.4 for GJl in the case that G = ][}. 2. Let G be a hyperbolic open set and let H be an open subset of G. Suppose It is a positive measure with compact support contained in H and define the Green potentials G~ and G{: of J.l using the Green functions for G and H, respectively. Show that there is a positive harmonic function h on H such that G~(z) = G{:(z) + h(z) for all z in G.
3. Prove versions of (4.7), (4.8), and (4.9) for the case that J.l is any positive measure on G for which GI-' is finite-valued. 4. Let J.L be a positive measure with compact support Kin G and assume that GI-'(z) < 00 for every point z in K. Show that for every € > there is a compact subset A of K with J.l(K \ A) < E such that G Jl1A is continuous on G.
°
5. Show that if f is a positive Borel function on G that is integrable with respect to area measure and J.l = f . AIG, then GI-' is continuous onG.
320
21. Potential Theory
6. If G is a hyperbolic open set, K is a compact subset of G, and {J.Ln} is a sequence of positive measures with supp f.1n ~ K for all n ~ 1 such that J.Ln --t J.L weak* in M(K), then GJl(z):::; liminfnG/ln(z) for all Z in G.
7. If J.L is a positive measure with compact support contained in the open disk D, show that G{?(z) --t 0 as z approaches any point of 0 D.
§5 Polar Sets . In this section we begin a discussion that will evolve to occupy a significant portion of our attention. The basic idea is to examine sets that in the sense of harmonic functions are small. Almost every mathematical theory has a concept of smallness or negli gibility. An example already seen by the reader is the set of zeros of an analytic function: such a set must be discrete, which is small by the stan dards of all save the finitely oriented amongst us. Another example is a set of area O. In measure theory we are conditioned to regard this as a kind of ultimate smallness. In the setting of the theory of analytic or harmonic functions, this turns out to be quite large and certainly not negligible. The appropriate idea of a small compact set in the sense we want is one whose complement in the extended plane is a parabolic region. That said, we first examine results concerning subsets of the boundary of a hyperbolic set G that have harmonic measure zero; that is, subsets ~ of o(XJG such that for every a in G, ~ is W a- measurable and wa(~) = O. There is a temptation to aim at a greater degree of generality by considering an arbitrary open set G, not just the hyperbolic ones, and discussing subsets ~ of o(XJG that have inner and outer harmonic measure zero. For example, a set ~ might be said to have outer harmonic measure zero if X6.(z) = 0 for all z in G. Similarly, we would say that ~ has inner harmonic measure zero if X6.(z) = 0 for all z in G. It is an illusion, however, that this is added generality. Indeed, suppose G is not hyperbolic and ~ is any subset of o(XJG. A function in p(X6., G) is a positive superharmonic function. Since G is not hyperbolic, it is parabolic. Thus the only functions in p(X6., G) are con stants; in fact, these constant functions must be at least 1. Thus every subset of o(XJG has outer harmonic measure 1. Similarly, if G is not hyper bolic, then the functions in p(X6., G) must be negative constants and so every subset of o(XJG has inner harmonic measure zero. So we will restrict our attention to hyperbolic sets. Here one could define the inner and outer harmonic measure of arbitrary subsets of o(XJG, not just the Borel sets. A set is then harmonically measurable when its outer and inner harmonic measure agree. That is, a set ~ is harmonically measurable if and only if X6. is a solvable function. In fact, Theorem 1.12 says that
21.5. Polar Sets
321
such sets are precisely those that are measurable with respect to harmonic measure. Attention usually will be restricted to Borel sets, though we will examine arbitrary sets of harmonic measure zero. Recall from measure the ory that any subset of a set of measure zero is a measurable set having measure zero. There are many examples of sets that have harmonic measure zero.
For example, we have already seen that if G is the inside of a rectifiable
. Jordan curve (or system of curves), then harmonic measure on oG and arc length measure are mutually absolutely continuous (Theorem 1.5). So subsets of arc length zero have harmonic measure zero. We begin by charac terizing sets of harmonic measure zero in terms of subharmonic functions. To simplify matters, agree to say that for a hyperbolic set G a subset ~ of o(XJG is harmonically measurable if for every a in G, ~ is wa-measurable.
5.1 Theorem. If G is a hyperbolic set and ~ is a harmonically measurable subset of o(XJG, the following are equivalent.
(a)
wa(~)
=
0 for all a in G.
(b) If ¢ is a subharmonic function on G that is bounded above and satis fies lim sup ¢(z) :::; 0 z-->(
for every ( in o(XJG \~, then ¢ :::;
o.
(c) There is a negative subharmonic function ¢ on G that is not identi
cally
-00
on any component of G and satisfies lim ¢(z)
z-->(
for all ( in
=
-00
~.
Proof. (a) implies (b). Assume wa(~) = 0 for all a in G and let ¢ be a subharmonic function as in part (b). Let M be a positive constant such that ¢(z) :::; M for all z in G. Thus M- 1 ¢ E p(G, X6.) and so for every a in G, 0:::; M- 1 ¢(a) :::; xda) = wa(~) = O. (b) implies (c). Note that (b) implies that ¢:::; 0 for every ¢ in p(X6.' G). Thus for all a in G, 0 = X6.(a) = X6.(a). According to Proposition 19.7.8 there is a sequence {¢n} in P(- X6., G) such that ¢n (z) --t 0 for every z in G. Since ¢n E p( -X6., G), ¢n :::; O. Fix a point a in G; by passing to a subsequence if necessary, it can be assumed that l¢n(a)1 < 2- n for all n ~ 1. Let ¢ = L n ¢n; it follows by Proposition 19.4.6 that ¢ is subharmonic. Temporarily assume that G is connected. The restriction on the value of ¢n at the point a shows that ¢ is not identically -00 on G and clearly ¢ :::; O. If ( E ~, then fix N ~ 1 and choose 6 > 0 such that for 1 :::; n :::; N 1
sUP{¢n(z) : z E G, Iz - (I < 6} < -1 - N'
==~~~~=
~~
322
21. Potential Theory
Again letting G«(; 8)
= B«(; 8) n G we have that N
sup{¢(z): z E G«(;8)}
:::;
LsuP{¢n(Z): Z E G«(;8)}
n=l 00
+ <
L
sup{ ¢n(Z) : Z E G«; 8)}
n=N+I -N + 1.
Hence lim sup ¢(z)
z--+(
=
-00.
In case G is not connected, let G I , G 2 , ... be its components and for each k ~ 1 use the preceding paragraph to find a negative subharmonic fUnction ¢k that is not identically -00 On G k and such that lim z --+( ¢k(Z) = -00 for all ( in ~ n oG k . Define ¢ on G by letting it equal ¢k + k on G k . This works. (c) implies (a). If such a subharmonic function ¢ exists, let ¢n = max {-I, n- l ¢}. It is easy to check that the sequence {¢n} <:;:; P(-X~,G). If bEG and ¢(b) > -00, then ¢;'(b) -; 0 as n -; 00. Thus Wb(~) = O. Since each component of G contains such a point b, wa(~) = 0 for all a in G (Theorem 1.7). D Note that condition (b) in the preceding theorem is a generalized maxi mum principle. This also gives a proof of Exercise 13.5.7.
5.2 Corollary. If G is a hyperbolic set, h is a bounded harmonic junction on G, and there is a subset ~ of oooG having harmonic measure zero such that h(z) -; 0 as z approaches any point of oooG \~, then h == O. Proof. Part (b) of the preceding theorem applied to hand -h implies that both these functions are negative. D
The next proposition is one like several others below that show that cer tain sets are removable singularities for various classes of functions. In this case we see that sets of harmonic measure zero are removable singularities for bounded harmonic functions.
5.3 Proposition. Let F be a relatively closed subset of G such that 0 00 FnG has harmonic measure zero with respect to the set G \ F. If h : G \ F -; lR is a bounded harmonic function, then h has a harmonic extension to G. Proof. By the use of an appropriate Mobius transformation, it can be assumed that F is a bounded set. Let G = UnG n , where each G n is an open set whose boundary consists of a finite number of smooth .Jordan curves and cl G n <:;:; G n+l . Fix n for the moment and let ¢ E P(Xa F n cl Gn ;G n \F) with
21.5. Polar Sets
-----==-=--=~-
=~~~~'--=:::--~~-=-=~--=----=--~-=--~-..:=-=-
323
¢ ~ O. Extend ¢ to all of G \ F by setting ¢ = XaFncl Gn on o(G n \ F) = (oG n \ F) U (oF n cl G n ) and ¢ = 0 off cl (G n \ F). The reader can check that this extension of ¢ is usc on G \ F. By Proposition 19.4.17, ¢ is subharmonic On G \ F. It can be checked that ¢ E P(XaFnG, G \ F) and of course ¢ ~ O. From the hypothesis we have that ¢ == O. Thus Jjn \F (0 F n cl Gn ) = 0 for all Z in Gn . Now define 9 : 0 G n -; lR by g = h on 0 G n \ F and g = 0 On 0 G n n F; let g be the corresponding solution of the Dirichlet problem On Gn (remember that Gn is a Jordan region). Thus h - g is a bounded harmonic function on G n \ F. If ( E oGn \ F, h(z) - g(z) -; 0 as z -; (with Z in G n \ F. By Corollary 5.2, h- g == 0 On G n \F. Therefore g is a harmonic extension of h to G n . Since n was chosen arbitrarily, this shows that h can be harmonically extended to all of G. D Subsets of the boundary of a hyperbolic set that have harmonic measure zero can be considered as sets that are locally small; their smallness is defined relative to the particular open set. We nOW turn to an examination of sets that are universally small relative to the study of harmonic functions. 5.4 Definition. A set Z is a polar set if there is a non-COnstant subhar mOnic function u On C such that Z <:;:; {z : u(z) = -oo}. Consideration of the function log Iz - al shows that a singleton is polar. A slight improvement shows that finite sets are polar and an application of Lemma 5.6 below shows that all countable sets are polar. From properties of subharmonic functions it follows that every polar set must be Lebesgue measurable with A(Z) = O. Indeed, if u is as in the definitiOn and E = {z : u(z) = -oo}, then E = nn{z : u(z) < -n} so that E is a Go set. Since u is not identically -00, A(E) = 0 (19.4.11). Since Z <:;:; E, Z is Lebesgue measurable and A(Z) = O. In particular, polar sets have no interior. The next result says that the property of being a polar set is locally verifiable. 5.5 Proposition. A set Z is polar if and only if there is an open set G that contains Z and a subharmonic function v on G that is not identically -00 on any component ofG and such that Z <:;:; {z E G: v(z) = -oo}. Proof. Assume there is an open set G that contains Z for which there is a subharmonic function v on G that is not identically -00 On any component of G and with Z <:;:; {z E G: v(z) = -oo}. Replacing G by {z : v(z) < O}, we may assume that v < 0 on G. Let G = UnG n , where cl G n is a compact subset of G n+ l · Let dn = diamG n . Let J.L be the positive measure On G that defines the positive distribution ~v (19.5.6 and 18.4.9). Note that J.L(G n ) < 00 for all n. According to Theorem 4.10 there is a harmonic function hn On G n such that if J.Ln = J.LIG n , then v = h n - G!J.n On G n . Also
I
it;-55i
21. Potential Theory
324
Gl'n
= Ll'n
~ fn,
where fn is harmonic on G n . If we define 1t n (Z)
= -
r
len log
d
n
_ II
Z -
dJ.L(w),
W
then we arrive at the equation v(z) = un(z) + kn(z) for all z in G n , where k n = fn + h n - dnJ.L(G n ) is harmonic on G n . It is clear that Un is a sub harmonic function on C with un(z) ::; 0 for z in G n and un(z) = -00 on Z n G n . Since J.LIG n has compact support, Un is not identically -00. Thus un(z) > -00 a.e. [Area] (19.4.11). Pick a point a with un(a) > -00 for all n :::: 1 and choose constants Cn > 0 such that '2:: n Cnun(a) > -00. Put U = '2::n CnU n · If m :::: 1 is fixed and n :::: m, un(z) ::; 0 for Z in G m . It follows from Proposition 19.4.6 that U is subharmonic. Since u(a) > -00, U is not identically ~oo. It is routine to see that Z ~ {z: u(z) = -oo}. The converse is obvious. 0 5.6 Lemma. If {Zn} is a sequence of polar sets, then UnZ n is polar. Proof. According.,to Proposition 5.5, there is a subharmonic function Un on C that is not identically -00 such that Zn <;;; {z : un(z) = -oo}. Let a E C such that un(a) > -00 for all n. For each n ;::: 1 there is a constant k n such that un(z) ::; k n < 00 for z in B(O; n). Choose constants Cn > 0 such that '2::n cn[kn - un(a)] < 00. By (19.4.6), U = '2:: n cn[U n - k n ] is a subharmonic function on C, u(a) > -00, and Z ~ {z: u(z) = -oo}. 0
Using this lemma we see that to show a set is polar it suffices to show that every bounded subset of it is polar. 5.7 Proposition. If K is a non-trivial compact connected set, then K is not a polar set. Proof. Suppose U is a subharmonic function on C such that u(z) = -00 on K; it will be shown that U is identically -00. Let G be a bounded open subset of {z : u(z) < O} that contains K. Now use the Riemann Mapping Theorem to get a conformal equivalence T : lDJ ---+ Coo \ K with T(O) = 00. Note that if {zn} is a sequence in lDJ such that IZn I ---+ 1, all the limit points of {T(Zn)} lie in K. Thus U 0 T is a subharmonic function on j[)) and U 0 -r( z) ---+ -00 as z approaches any point on the unit circle. By the Maximum Principle, U 0 T is identically -00 and thus so is u. 0
5.8 Corollary. If Z is a polar set, then every compact subset of Z is totally disconnected.
__
._=:_..
l~t"-=_-=-='.
. . __
44~;;;:;;:;;;;U:;"_.__
.J,i
n _
_.mL
.~-
21.5. Polar Sets
-
-"'-="-.,.,"'"'~='"
325
a previous argument, ZnBG is a Go set and therefore w~-measurable. To show that w~(Z n BG) = 0, it suffices to show that w~(K) = 0 for every compact subset K of Z n BG. Let U be a bounded open set that contains K and put H = G U U. Since cl H is compact, there is a finite constant M such that v(z) ::; M for all z in cl H. Thus V - M is a negative non constant subharmonic function on H that is -00 on K. By Theorem 5.1, w:!\K (K) = 0 for all a in H \K. But G ~ H\K and K <;;; 8Gn8(H\K). By Corollary 1.14, wf(K) ::; w:!\K (K) = 0 for all a in G. 0 The preceding proposition will be extended to all hyperbolic open sets G (Theorem 8.4, below) but some additional theory will be required. We will rejoin the examination of arbitrary polar sets later (Theorem 7.5), but now we turn our attention to compact polar sets and their relation with some recently acquired friends. There are compact sets K contained in the boundary of an open set G such that wf(K) = 0 for all a in G and K is not polar. For example, if G is the unit square (with vertices 0,1,1 + i, and i) and K is the usual Cantor ternary set, then 8 G is a rectifiable Jordan curve and so w~ (K) = 0 for all a in G. But K is not polar (8.16). If, however, K has harmonic measure zero for every open set whose boundary contains it, then K is polar. This as well as the equivalence of additional conditions will be seen in the next theorem. Remember (5.8) that compact polar sets must be totally disconnected and thus without interior. 5.10 Theorem. For a compact totally disconnected set K, the following are equivalent.
(a) K is a polar set. (b) If G is any bounded region with K ~ 8 G, then wf (K) = 0 for every point a in G. (c) If G is a bounded region that contains K and u is a bounded harmonic function on G \ K, then u admits a harmonic extension to G.
(d) If, is a Jordan curve such that K ~ G == ins" then wf\K (K) = 0 for every point a in G \ K.
(p) There is a bounded region G that contains K and there is a point a in G \ K such that wf\K (K) = O. (f) IfG is any bounded region containing K, thenw;:\K (K)
= 0 for every
point a in G \ K.
(g) C \ K is parabolic.
5.9 Proposition. If Z is a polar set and G is a bounded open set, then, for every point a in G, Z n BG is wf -measurable and wf(Z n BG) = O.
(h) The only bounded harmonic functions on C \ K are the constant func
Proof. Without loss of generality we may assume that there is a non constant subharmonic function v on C such that Z = {z: v(z) = -oo}. By
(i) There is no positive non-zero measure J.L on K such that £1-' is bounded above.
tions.
21. Potential Theory
326
As might be expected, the proof of this theorem requires a lemma. It is perhaps surprising that it only requires one.
5.11 Lemma. If G is a hyperbolic set and A is a measurable s1lbset of aooG such that 0 < wa(A) < 1 for some point a in G, then inf wz(A) zEG
= 0 and supwz(A) =
1.
zEG
Proof. Put M = sup{wz(A) : z E G}; so 0 < M :S 1. If ¢ E p(Xt:J., G), then ¢ :S Xt:J. ~ M and so ¢/M ~ 1. Hence ¢/M E p(Xt:J., G), so that ¢/M :S Xt:J.; equivalently, ¢ :S MXt:J.. Taking the supremum over all such ¢ gives that Xt:J. :S M Xt:J.. From the hypothesis we have that M = 1. The proof of the statement about the infimum is similar. 0 Proof of T~eorem 5.10. That (a) implies (b) is immediate from Proposi tion 5.9. (b) implies (c). This is a consequence of Proposition 5.3. (c) implies (d). Let "/ be a Jordan curve such that K ~ G == ins "/ and put u(z) = w~\K (K). So u is the solution of the Dirichlet problem on G \ K with boundary values XK. According to (c) u has an extension to a harmonic function h : G ---+ [0, IJ. But XK is continuous at points of ,,/, so u, and thus h, extends continuously to cl G with h(z) = XK(Z) = 0 for z in "/ = aGo But then the Maximum Principle implies h == O. This implies (d). (d) implies (e). This is trivial. (e) implies (g). Suppose (g) does not hold. That is, assume that C \ K is hyperbolic; so there is a subharmonic function ¢ on C \ K such that ¢ :S 0 and ¢ is not constant. By Exercise 19.4.7 we can assume that ¢ is subharmonic on Coo \ K. Let G be any bounded region in the plane that contains K. Put m = max{¢(z) : z E oG}. Note that because ¢ is subharmonic at 00, ¢(z) ::; m for z in C\G. Let M = sup{¢(z) : z E G\K} and observe that m ~ M. Claim. There is a point a in G \ K with ¢(a) > m and so m
< M.
Otherwise we would have that ¢ :S m on C \ K and ¢ attains its maximum value at an interior point (in aG), thus contradicting the assumption that ¢ is not constant. Define ¢I = (¢ - m)/(M - m). It is left to the reader to check that for every (in a(G\K), lim sUPz->( ¢1(Z) ~ XK((). Hence ¢I E p(XK,G\K). The claim shows that there is a point a in G \ K with ¢1 (a) > O. By definition this implies w~\K (K) > O. Now G \ K is connected and so this implies that w~\K (K) > 0 for all z in G \ K. Since G was arbitrary, this says that condition (e) does not hold.
21.5. Polar Sets
327
(g) implies (f). Suppose (f) does not hold; so there is a bounded region G containing K and a point a in G \ K with w<;f\K (K) > O. Thus there is a function ¢ in P(XK, G \ K) with ¢(a) > O. By replacing ¢ with max{¢, O} we may assume that ¢ :::: 0 on G \ K. But then for any ( in aG, 0 :S lim sUPz->( ¢(z) ::; XK(() = O. Thus ¢(z) -+ 0 as z approaches any point of a G. If we extend ¢ to be defined on all of C \ K by setting ¢(z) = 0 for z ¢. .G, then it follows that ¢ is usc. By Proposition 19.4.17, ¢ is subharmonic on C \ K. Clearly ¢ ~ 1 and not constant. Therefore C \ K is hyperbolic. (f) implies (a). Let G be a bounded region that contains K so that WCf\K (K) = 0 for all z in G \ K. According to Theorem 5.1 there is a subharmonic function ¢ on G\ K such that ¢ ::; 0, ¢ is not identically -00, and ¢(z) ---+ -00 as z approaches any point of K. If ¢ is extended to be defined on G by letting ¢(z) = -00 for z in K, then ¢ is subharmonic on G and this shows that K is polar. (c) implies (h). Let h be a bounded harmonic function on C \ K. If Gis any bounded region that contains K, then hl(G\K) admits a continuation to G by condition (c). Thus h has a continuation to a bounded harmonic function on C and must therefore be constant. (h) implies (g). Suppose (g) is not true; so G = C \ K is hyperbolic and not the whole plane. This implies that K has more than one point. Let a E G. Since W a has no atoms, there is a Borel set A ~ K = oG such that 0 < wa(A) < 1. It follows from Lemma 5.11 that h(z) = wz(A) is a non-constant bounded harmonic function on G and so (h) is not true. (c) implies (i). Assume that J.L is a positive measure supported on K such that there is a constant M with LIJ- ~ M; it will be shown that J.L = O. Let G be a bounded open set containing K. If d = diam G, then LIJ-(z) ~ d- 111J.L11 for all z in cl G. Thus LIJ- is a bounded harmonic function on G \ K. By (c), LIJ- has a harmonic extension to G. By Corollary 19.5.5, J.L = O. (i) implies (g). Assume that C\K is hyperbolic. If w is harmonic measure for Coo \ K at 00, Proposition 3.5 implies L w is bounded above by rob(K).
o
Condition (i) will be seen in the future. This particular characterization of polar sets will resurface in §7 when the notion of logarithmic capacity is encountered. Exercises 1. If G is an open set with components {Hn } and A = 000 G\ UnaooHn , then A has harmonic measure zero.
2. Show that if K is a compact subset of C, then C \ K is parabolic if and only if c,X) \ K is parabolic.
_ ........._ . .
g__
~_
_ __
. _ -
~
_
•
~
-
_ _ __ iiiiPF m;;w::<""""""""._' __ '"." ' . __. 2~. Poten::·~;--~'·"''''~;or:'·::;::~:=;o~:::''"·_'"·~_'==~_"""=,"_'''~~~='_''~ ~'!IIIIIIIII!:~
--_._.
w
~
~
~B-_-~:·ifHl!l!
00
__
. . _ ...
_;o;;;;o;~~~._
-~~-'!.!"!"'...,-._ . .. - ,~~,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-,,,,,,,,",,,,,,,,,,,,,,,,,~,,,,,,,,,,~,,,,,",.~,,,,,
'''f~.'_'''
::~
328
§6
More on Regular Points
In this section the results obtained on polar sets will be applied to obtain a more accurate and complete picture of the sets of regular and irregular points of a hyperbolic open set. The first result along this line general izes the fact that isolated points in the boundary of a region are irregular (19.10.8).
6.1 Proposition. If K is a polar set contained in the hyperbolic set G, then no point of K is a regular point for G \ K.
Proof. Let a E K and put n = G \ K; fix r > 0 such that B = B(a; r) has cl B ~ G. If h is the solution of the Dirichlet problem on B n with boundary values I( - ai, then h(z) = r on 8 B n since 8 B is a connected subset of the boundary of Bnn. We want to show that limsuPz-->a h(z) > O. Recall that K is totally disconnected and let L be a compact subset of K ri B such that a ELand L is relatively open in K. There is an open set U in C such that L = K n U; without loss of generality it can be assumed that U ~ B. Now L is a polar set and h is a bounded harmonic function on U \ L; thus h has a harmonic extension to U. Denote this extension by h1. So limsuPz-->ah(z) = limz-->ah1(Z) = h1(a). But h1 2: 0, so, by the Maximum Principle, h 1 (a) > O. 0
n
n
The next theorem gives an additional list of conditions that can be added to those in Theorem 19.10.1 that are equivalent to the regularity of a point. These are given in terms of the Green function.
6.2 Theorem. If G is a hyperbolic region and a E 8 00 G, then the following are equivalent.
(a) a is a regular point ofG. (b)
There is a point w in G such that if g( z, w) is the Green function for G with pole at w, then g(z, w) --t 0 as z --t a.
(c) For every w in G, if g(z, w) is the Green function for G with pole at w, then g(z, w) --t 0 as z --t a. Proof. It is trivial that (c) implies (b) and the fact that (b) implies (a) is immediate from Theorem 19.10.1 and the fact that the Green function is a positive superharmonic function. It remains to prove that (a) implies (c). Assume that a is a regular point for G and fix an arbitrary point w in G. Without loss of generality we can assume w = 00. Let r > 0 and put B = B(a; 1'). Let u be the solution of the Dirichlet problem on G(a; 1') = B n G with boundary values X8B. According to Proposition 19.10.5, a is a regular point for the open set G(a; r); thus u(z) --t 0 as z --t a in G(a;r).
Let 0 < rl < l' and put B l = B(a; rd. If m = sup{u(z) : z E a B l }, then 0 < m < 1. Let h(z) = 1 - (1 - m)[log(lz - aj/r)/log(rtfr)] for 1'1 :s: [z - al .:s: r. Note that h(z) = 1 for Iz - al = rand h(z) = m for Iz - al = rl· Put H = G(a; 1') \ cl B 1 and define v : 8 H --t lR by letting v(z) = u(z) for z in 8 HnG(a; 1') = 8 B 1nG(a; r) and v(z) = X8 B(Z) for z in 8 Hn8G(a; r). If v is the solution of the Dirichlet problem on H with boundary values v, then Proposition 1.13 implies v( z) = u( z) for z in H. It is left as an exercise for the reader to verify that h E 'P(v, H). Hence h 2: = u on H. Now let C = (1 - m)-110g(r/rl) > O. So Ch(z) = C + 10g(r- 1Iz - al) and hence
v
6.3
C u(z)
:s: C + 10g(r- 1jz -
al) on H.
Define the function 1/J on G by setting 1/J(z) = C + 10g(r- 1 Iz - al) for z in G\B(a; 1') and 'ljJ(z) = C u(z) for z in G(a; r). Since u extends continuously to Gn8 B and is equal to 1 there, 'ljJ is a continuous function on G. It is left to the reader to verify that (6.3) implies that 'ljJ is superharmonic. Since'ljJ is clearly positive and 'ljJ(z)-log Izi is also superharmonic near 00, 'ljJ 2: g(z, 00) by Proposition 19.9.10. Therefore on G(a;r), O:S: g(z,oo) :s: C u(z) --t 0 as z --t a. 0 The next lemma is stated and proved for bounded regions. It is also true for unbounded regions; see Exercise 1.
6.4 Lemma. If G is a bounded region, a E G, and G n =: {z E G : gG(z,a) > n- 1 }, then G n is connected, gGn(z,a) = gG(z,a) - n-l, and (8 G n 8 Gn) = O.
w;:n
Proof. If G n is not connected, there is a component H of Gn that does not contain a. Define 1/J on G by letting 'ljJ(z) = n- l for z in Hand 'ljJ(z) = gG(z, a) elsewhere. It is left as an exercise to show that 1/J is superharmonic, 1/J 2: 0, and 1/J(z) + log Iz - al is also superharmonic. By Proposition 19.9.10, 'ljJ(z) 2: gG(z,a). But on H, 1/J(z) = n- 1 < gG(z,a), a contradiction. Therefore Gn is connected. Now fix n 2: 1 and define h on G n by h(z) = gG(z, a) - n- 1 . It is easily checked that h 2: 0, h is harmonic on G n \ {a}, and h(z) + loglz - al is harmonic near a. By definition of the Green function, h(z) 2: gG n (z, a) on G n . On the other hand, h( z) - gG n (z, a) is harmonic on G n and, for iWY ( in 8 G n , limsuPz-.dh(z )_gG n(z, a)] :s: lim sUPz-.( h(z )-lim inf z -->( gG n (z, a) :s: O. Thus h(z):s: gGn(z,a) and so equality holds. Finally put K n = 8G n 8G n and let ¢ E P(XK n , G n ); without loss of generality we may assume that ¢ 2: 0 (19.7.8). So for any ( in 8 G n n G, o :s: liminfz-->«7>(z) :s: lim sUPz--> ( ¢(z) :s: XK n (() = 0; that is, for all ( in 8G n n G, ¢(z) --t 0 as z --t ( with z in G n . So if 1/J is defined on G by 'ljJ(z) = gG(z, a) - n- 1 ¢(z) for z in G n and 'ljJ(z) = gG(z, a) otherwise, 1/J
.•,.-,,,,,,.".,,,,,
_
=
g=
&
-
21. Potential Theory
330
is a positive superharmonic function on G such that 'ljJ(z) + log]z - al is also superharmonic (verify!). Thus 'ljJ(z) 2: gG(z, a) by (19.9.10). But this implies cjJ :S 0 so that cjJ == O. Therefore wfn (Kn ) = O. 0
-:-p==g>----:- - - - -
where u is the solution of the Dirichlet problem on G n + 1 with boundary val ues L w Now L p - u is harmonic on G n + 1 and bounded since L p is bounded below on compact sets (Exercise 19.5.1). But for each ( in G n + 1 n G, as z --> ( with z in G n + 1 it holds that
a
J log Iz -
1 gG n + 1 (z, a) = gG(z, a) - n + 1
-->
1 gG((, a) - n + 1 =
o.
By Theorem 6.2 this implies that points in a G n + 1 nG are regular for G n + 1 • Hence Lp(z) -u(z) --> 0 as z --> (in aGn+ 1 nG. Also aG n+ 1 naG = K n+ 1 and wfn+l (Kn + 1) == 0 by the preceding lemma. Therefore Corollary 5.2 implies L p - u ::::::: 0, contradicting (6.6). Thus no such measure p, exists and K n is polar. Now let G be a not necessarily bounded hyperbolic open set and put G k = G n B(O; k). If Ek is the set of irregular points of G k , then the fact that each component of B(O; k) n G is a non-trivial arc of a circle implies that E k ~ aGo By Proposition 19.10.5 this implies that UkEk ~ E. The use of barriers shows that E = UkEk. The general result now follows from the proof of the bounded case. 0
a
gG n + 1 (a, z)
gG n + 1 (z,a)
331
21.7. Logarithmic Capacity: Part 1
6.5 Theorem. If G is hyperbolic and E is the set of irregular points for G, then E is a polar set that is the union of a sequence of compact subsets
of aooG. Proof. In light of Corollary 19.10.10 it suffices to assume that G is con nected. First consider the case that G is bounded, so that the preceding lemma applies; adopt its notation. Let K n = aG n aGn; by Theorem 6.2, E = UnKn is the set of irregular points of G. It only remains to show that each set K n is polar. This will be done by using Theorem 5.10.i.
, Note that for each n 2': 1,
_. -
(I dw~n+l (() -log Iz - al·
The right hand side of this equation is upper semicontinuous throughout C. So for any point w in K n
J log [w - (I dw~n+l (() -log [w 2': limsup{gG n +1 (z,a): z
al E Gn }
6.7 Corollary. If G is a bounded open set, the collection of irregular points has harmonic measure zero.
Proof. o
This is immediate from the preceding theorem and Proposition 5.9.
z.-.w
2': limsup{gG(z,a) z.-.w
1
_1_: z E G n }
n
+1
1
>--- n n+ l' Hence
J log Iw - (I
The preceding corollary will be extended to hyperbolic open sets G in Corollary 8.4 below.
Exercises 1. Use Proposition 19.9.8 to prove Lemma 6.4 for unbounded regions.
dw~n+l (() > log Iw - al + _._1
2. If G is hyperbolic, K is a compact subset of G, and ( is a regular boundary point of G, show that as z --> (, g(111, z) --> 0 uniformly for 111 in K.
for all w in K n . If it were the case that K n is not a polar set, then there is a probability measure p, supported on K n and a finite constant M such that LI'(z) :S M for all z. But
Lp(a)
=
J
>
J
log Iw
Jloglw-(I-ldw~n+l(()dP,(W)
J L p (()
6.6
- al- 1 dp(w)
== u(a),
dw~n+l (()
§7
Logarithmic Capacity: Part 1
Recall that, for a compact set K, M(K) is the set ofregular Borel measures on K. For a non-compact set E, let MC(E) be all the measures that belong to M(K) for some compact subset K of E. (The superscript "e" here stands for "compact.") That is, MC(E) is the set of regular Borel measures whose support is compact and contained in E. M+ (E) will denote the positive
~~~''''~ .,, ,,_;o.i,,_:-,-,._~: ;,.._,.... ~-=,:::,,,ii:".e._~.,~~'!::~=:~;~~;,_-.t:.:.::;~:<'.:;:,;.:,;
21. Potential Theory
332
measures belonging to MC(E) and M£(E) is the set ofreal-valued measures belonging to MC(E). If E is any set, let
M'j(E) == {p, : p, E It may occur that MJ(E) = p, E M[(E), let
~(p,) = j
M~JE) and
LJ.L E L 1(1p,1)}.
0 (for example, if E is a single point).
j log
Iz ~ wi
If
dp,(z) dp,(w).
For such measures p" I(p,) is a well defined finite number. Indeed I(p,) = LJ.Ldp,. The number I(p,) is called the energy integral of p,. The use of this term, as well as the term logarithmic potential, is in analogy with the terminology for electrostatic potentials in three dimensions.
J
7.1 Lemma. If p, E M+(E), then either p, E M[(E) or lim jmin{LJ.L,n} dp, =
+00.
21. 7. Logarithmic Capacity: Part 1
~.}7·..,,-·~- ~.-
~~~~
333
where Wiener's criterion for the regularity of a boundary point is estab lished. In the present case, it will shortly be proved that a compact set K has zero capacity if and only if it is polar (Theorem 7.5, below). In JRd for d ~ 3, there is an analogous notion of capacity where compact sets hav ing zero capacity are removable sets of singularities for bounded harmonic functions. (See Landkof [1972], p 133.) In the study of bounded analytic . functions there is also a notion of analytic capacity with similar properties. (See Conway [1991], p 217.) There is also a general theory of capacity that originated in Choquet [1955]. (Also see Carleson [1967].) It is becoming common to refer to a capacity that fits into this general theory as a "true" or Choquet capacity. Unfortunately, the logarithmic capacity defined above is not a true ca pacity (nor is the analytic capacity used in the study of analytic functions). A modification of the logarithmic capacity can be made that produces a true capacity. The extra effort to do this is modest and it is therefore presented in conjunction with the development of logarithmic capacity. This will only be defined for subsets of the disk rlI)). If p, E M+(rlI))), define
n~oo
L:(z)
Proof.
This is a direct consequence of the fact that the logarithmic po tential of a positive measure is bounded below on compact sets. 0
J
In light of this lemma we can define I(p,) = LJ.Ldp, for all positive measures, where we admit the possibility that I(p,) = 00. Another piece of notation is that Mf(E) will denote all the probability measures in MC(E). That is, Mf(E) = {p, E M+(E) : 11p,11 == p,(suppp,) = I}.
7.2 Definition. If E is any set such that M[(E)
v(E) == inf{I(p,) : p,
::f 0,
=
J
log
2r
Iz _ wi
dp,(w)
for all z in rlI)). Note that L:(z) ~ 0 on rlI)), though it may be infinite valued. Similarly define
Ir(p,) =
JJ
log
Iz ~wi
dp,(w) dp,(z)
for p, in M+(rlI))). define
7.3 Definition. For any subset E of rlI)), define E
MHE)}.
The logarithmic capacity of such a set E is defined by
vr(E) == inf{Ir(p,) : p, E MnE)}. The r-logarithmic capacity of E is defined by
c(E) =
e-v(E).
1
If E is such that M'j(E) = 0, define v(E) = 00 and c(E) = O. A property that holds at all points except for a set of capacity zero is said to hold quasi-everywhere. This is abbreviated "q.e."
The term capacity is used in analysis in a variety of ways. The com mon thread here is that it is a way of associating with sets a number that measures the smallness of the set relative to the theory under discussion. Another role of capacities is to assist in making estimates. That is, a set having small capacity will imply the existence of certain functions having rather precise technical properties. An instance of this occurs in §14 below,
cr(E) = vr(E)' We note the equations L: = 11p,lIlog2r + LJ.L and Ir(p,) = 11p,112log2r + I(p,), from which it follows that vr(E) = log 2r + v(E) for all subsets E of rlI)). Thus a subset E of rlI)) has logarithmic capacity zero if and only if it has r-logarithmic capacity zero; in fact, for such sets, cr(E) = [log(2r jc(E))t1. The r-logarithmic capacity is a true or Choquet capacity defined on the subsets of rlI)). However logarithmic capacity as defined in (7.2) is more closely related to the geometric properties of analytic and harmonic func tions on the plane. For example, it will be shown that, for any compact
334
21. Potential Theory
set K, c(K) = e--Y, where I is the Robin constant for K (Theorem 10.2 below). The r-logarithmic capacity has also been heavily used in the study of analytic and harmonic functions; see Beuding [1939], Carleson [1967], and Richter, Ross, and Sundberg [1994]. It is also the case that the Green potential can be used to define a Green capacity (for subsets of the parent set G) that is a Choquet capacity. This will not be done here. The interested reader can look at Helms [1975]. Also see Landkof [1972] and Brelot [1959]. A distinct advantage of the Green capacity is that it generalizes to higher dimensional spaces. A disadvantage is that it is restricted to and dependent on the chosen set G. In what follows, results will only be stated for logarithmic capacity unless there is a difficulty with the corresponding fact for r-logarithmic capacity or a particular emphasis is called for. Of course, exact formulas or nu merical estimates for logarithmic capacity will not carryover directly to r-logarithmic capacity, though some modification will. The first result is a collection of elementary facts. The proofs are left to the reader.
(a) If E 1 <;:; E 2 , then c(E1) ::; c(E2 ).
semicontinuous function: thus F is compact. If J-l = vlF, then LJ.l(z) < Lv(z) ::; M for all z in F and hence throughout C (19.5.10). (b) implies (c). This is immediate from Theorem 5.10. (c) implies (d). By Theorem 5.10 there is a J-l in M+(K) such that LJ.l ::; M; hence I(J-l) = J LJ.ldJ-l < 00. (d) implies (a). If J-l is a positive measure with J-l(K) > 0 and I(J-l) < 00, .then by the definition of v(K), v(K) < 00 and so c(K) > O. This completes the proof that statements (a) through (d) are equivalent. If c(K) > 0, G is the component of Coo \ K that contains 00, and w is harmonic measure for Gat 00, then Proposition 3.5 states that L w :::; I on the plane. Thus v(K):::; I(w) :::; J Lwdw::; I and so c(K) ~ e--Y. D Think of the first of the following two corollaries as a result about ab solute continuity of measures with respect to logarithmic capacity, even though logarithmic capacity is not a measure.
> 0 and J-l
E MJ(K), then
The next corollary is immediate from Corollary 5.8.
= sup{c(K) : K is a compact subset of E}. (c) IfT(z) = az+b, a i= 0, then v(T(E)) = v(E) -log laJ and c(T(E)) = (b) For any set E, c(E)
c(E). Thus c(E)
335
1.6 Corollary. If K is a compact set with c(K) 1J-l1(6.) = 0 for every Borel set 6. with c(6.) = O.
1.4 Proposition.
laJ
21.7. Logarithmic Capacity: Part 1
= 0 if and only if c(T(E)) = O.
1.1 Corollary. If K is a compact set with logarithmic capacity 0, then K is a totally disconnected set. We know that polar sets have area zero; the next proposition refines this statement into a numerical lower bound for capacity in terms of area.
1.5 Theorem. If E is a Borel set, the following are equivalent. 1.8 Proposition. If E is a Borel set, then
(a) E has positive capacity. (b) There is a non-zero measure J-l in M+(E) such that LJ.l is bounded
c(E)
above.
(c) There is a compact subset of E that is not polar. (d) There is a positive measure J-l with I(J-l) <
00
and J-l(E) > O.
If K is a compact set that has positive capacity, then c(K) is the Robin constant for K.
~
e--Y, where I
Proof. In light of part (b) of the preceding proposition, it suffices to as sume that E is a compact set K. By part (c) of the preceding propo sition, with an appropriate choice of constants it can be assumed that K <;:; B(O; 1/2). (This is a typical use of (7.4.c) and will be seen again in the course of this development.) The virtue of this additional assumption is that log Iz - wl- 1 ~ 0 for all z, w in K. (a) implies (b). Let II E M 1(K) with 1(11) < 00. Since K <;:; B(O; 1/2), Lv(z) ~ 0 on K. Since Lv E L 1(1I), there is a constant M such that if F = {z E supp II : Lv(z) ::; M}, then II(F) > O. Now Lv is a lower
~
Area(E) 7re
Proof. The proof is reminiscent of the proof of Proposition 18.5.3. By virtue of Proposition 7.4.b, we may assume that E is a compact set K. Without loss of generality we may also assume that the area of K is positive. If u is the logarithmic potential of the restriction of area measure to K, then u is a continuollS function on the plane; by (19.5.10) it attains its maximum value on K. By translation, we may assume that 0 E K and u(z) :::; u(O) = JK log Iw l- 1dA(w). If R is the radius with 7rR 2 = JKI = Area(K) and D = B(O; R), then Area(D) = Area(K) and Area(K \ D) = Area(D \ K). Therefore u(O)
= <
r log Iwl-1dA(w) + lK\D r log Iw l- 1dA(w) r 10glwl-1dA(w)+A(D\K)10gR lKnD lKnD
_===
:£EEE;;;-:-=-~;=::"~-========
. ---
336
~"
21. Potential Theory
<
r
log Iwl- 1dA(w)
J KnD
!v 2n
r
log Iwl-1dA(w)
JD\K
log Iwr 1dA(w)
l 2
R
. .__ .'","
~.:;: --';;";~"~=::--
__._. . .~.~~..",'-~~~
--- •._
~..
< __ "
Proof. Let v = v(K) and put E = {z E K: LJ.L(z) < v}. So E = UnEn , where En = {z E K : LJ.L(z) :::; v - n- 1}. Because LJ.L is lsc, each set En is closed and so E is an Fa set. It will be shown that c(En ) = 0 for each n 2: 1. If there is an n 2: 1 such that c(En ) > 0, let v E M1(En ) such that I(v) < 00. If 0 < 8 < 1, J.lo = (1 - 8)J.l + 8v E M 1(K) and
1
I(J.lo)
=
(1 - 8)2I(J.l)
+ logR-1j v - 28v
A(K) log ~ A(K)'
V
where A = -v
log Iz
-
337
21.7. Logarithmic Capacity: Part 1
+ I(v) -
2
I(J.lo)
wl-1dA(z) dA(w) :::; A(K)210g ~.
+ 28
+ 82I(v) + 28(1 - 8)
J
J
LJ.Ldv
2
LJ.Ldv + 8 A,
J LJ.Ldv. Hence
Thus
ii
:=,.:,;:,~_o.;,,,;:.."'.
rlogr- 1 dr
nR [2 =
+
. --
:::;
v-28v+28(v-n- 1)+82A v + 8[-2n- 1 + 8A]
< v If J.l = A(K)-l AIK, then v(K) :::; I(J.l) :::; log yin ejA(K), whence the result. 0 7.9 Theorem. If K is a compact set with positive capacity, then there is a probability measure J.l with support contained in K such that I (J.l) = v (K) . Let {J.ln} be a sequence in M 1(K) such that I(J.ln) ----> v(K). But M 1 (K) is a compact metric space when it has the weak* topology. So by passing to a subsequence if necessary, it can be assumed that there is a measure J.l in M 1(K) such that J.ln ----> J.l weak*. By Exercise 1, I(J.l) = v(K).
Proof.
o
7.10 Definition. If K is a compact set and J.l E M1(K) such that I(J.l) = v(K), then J.l is called an equilibrium measure for K. The corresponding logarithmic potential LJ.L is called a conductor or equilibrium potential of E. Later (10.2) it will be shown that there is only one equilibrium measure and we can speak of the equilibrium measure for a compact set. In the companion development of the r-Iogarithmic capacity, we must make a point explicit. The proof is straightforward.
7.11 Proposition. If K is a compact subset of rIT) and J.l is an equilibrium measure for K, then Ir(J.l) = vr(K). Conversely, if J.l is a probability mea sure on K such that Ir(J.l) = vr(K), then J.l is an equilibrium measure for K. 7.12 Theorem. (Frostman [1935]) If K is a compact set and J.l is an equilibrium measure, then LJ.L :::; v(K) on C and LJ.L = v(K) everywhere on K except for an Fa set with capacity zero.
for a suitably small 8. Since J.lo E M1(K), this contradicts the definition of v. Hence c(En ) = 0 for all n 2: 1. By Lemma 5.6 and Theorem 7.5, the countable union of sets of capacity zero has capacity zero and so LJ.L 2: v q.e. Now we show that LJ.L :::; v everywhere. Otherwise the Maximum Principle for the logarithmic potential implies there is a point a in F = supp J.l such that LJ.L(a) > v. Since LJ.L is lsc, there is an open neighborhood U of a with LJ.L > v in U; because a E F, J.l(U) > O. On F \ U, LJ.L 2: v q.e by the first part of the proof. By (7.6), LJ.L 2: v a.e. [J.l]. Hence v = I(J.l) Ju LJ.LdJ.l + JFW LJ.LdJ.l > VJ.l(U) + vJ.l(F \ U) = v, a contradiction. 0
7.13 Corollary. If K is compact with c(K) > 0 and J.l is an equilibrium measure, then LJ.L is continuous at each point a where LJ.L(a) = v(K).
Proof. By Proposition 19.5.11, it suffices to show that LJ.LIK is continuous at a. Since LJ.L is lsc, v(K) = LJ.L(a) :::; liminfz->a LJ.L(z) :::; limsuPz->a LJ.L(z) :::; v(K).
0
7.14 Proposition. Let K be a compact set with c(K) > 0 and let J.l be an equilibrium measure. For every 6 > 0 there is a compact subset K 1 of K with J.l(K \ K 1) < 6 and such that, if J.l1 = J.lIK1, then LJ.Ll is a continuous finite-valued junction on C.
Proof Put c = c(K) and v = v(K). By Corollary 7.6 and Theorem 7.12, LJ.L = v a.e. [J.l]. Let K 1 be a compact subset of K with J.l(K \ Kd < 6 and LJ.L = v on K 1. By the preceding corollary, LJ.L is continuous at each point of K 1. Let J.l1 be as in the statement of the proposition and put J.l2 = J.l- J.l1 = J.l1(K \ Kd· Now LJ.L = LJ.Ll + LJ.L2 :::; v on C. Since both LJ.Ll and LJ.L2 are bounded below on compact sets, it follows that both functions
21. Potential Theory
338
liminfnI(lLn). Use this to show that I: M+(K) semicontinuous.
are bounded on compact subsets of the plane. In particular, both functions are finite-valued. Also L/l l == L/l - L/l 2 and thus L/l l is usc; since this function is also Isc, it follows that it is continuous. 0
:s: <
I(J.l) liminfkI Iloglz-wl-1dJ.lnk(z) dJ.lnk(w) lim infkv(Knk ) lim v(Knk ) k
< v(K).
o 7.16 Corollary. If K is a compact set and {Un} is a sequence of open sets such that Un 2 Un+1 for all nand nnUn == K, then c(Un) ----t c(K). In particular, if c > 0, there is an open set U that contains K with c(U) < c(K) + c.
Proof. For each n let Vn be an open neighborhood of K that is bounded with K n = cl Vn <;;: Un' So c(Kn ) :s: c(Un ) and the result follows from the proposition. 0
Exercises 1. If IL, J.ll' J.l2,'" are positive measures whose supports are contained in the compact set K and J.ln ----t J.l weak* in M(K), show that I(J.l) -::;
(-00,00] is lower
3. Let G be a hyperbolic open set, let K be a compact subset of G with c(K) > 0, and let J.l be an equilibrium measure for K. Combine Proposition 7.14 with Theorem 4.5 to show that for every E > 0 there is a compact subset K 1 with J.l(K \ K 1) < c such that if J.ll == J.lIK 1, then G/l l is a continuous finite-valued function on G.
7.15 Proposition. If {Kn } is a sequence of compact sets such that K n 2 K n+l for all nand nnKn == K, then c(Kn ) ----t c(K). If c(K) > 0 and if J.ln is an equilibrium measure for K n, then eveT1J weak* cluster point of the sequence {J.ln} is an equilibrium measure for K.
v(K)
----t
2. Prove the result for r-logarithmic capacity corresponding to Theorem 7.12.
We conclude this section with a result that will be used later.
Proof. A rudimentary argument shows that if U is any open set containing K, then K n ~ U for all sufficiently large n. In particular, there is no loss in generality in assuming that the sequence {Kn } is uniformly bounded. By Proposition 7.4.c we may assume that all the sets K n ~ {z : Izi :s: 1/2}. From elementary considerations we know that c(K) :s: c(Kn+d :s: c(Kn ) so that limn c(Kn ) exists and is at least c(K). Equivalently, v(K) ~ limn v(Kn ). Let J.ln be the equilibrium measure for K n so that I(J.ln) == v(Kn ). There is a subsequence {J.lnk} that converges to a probability measure J.l in M(C oo )' It is left to the reader to show that supp J.l <;;: K. Since log Iz - wl- 1 ~ 0 on K 1 , Fatou's Lemma implies that
339
21.8. Some Applications and Examples
4. If K is a compact set and J.l is a probability measure on K, show that inf{LI'(z) : z E K} :s: v(K). 5. Suppose K is a compact subset of some disk of radius 1/2 and K == K 1 U .,. UKn , where each K j is compact and K i nKj == 0 for i #- j. Show that v(K) :s: v(K1) + ... + v(Kn ).
§8
Some Applications and Examples of Logarithmic Capacity
Here we will give a few applications of the preceding section. Some of these applications will tie together loose ends that exist in earlier sections; many will be used to push our study of potential theory further. Later we will see some examples of sets with zero or positive capacity. We begin with an easy application of Corollary 7.6 that has important implications.
8.1 Theorem. If G is a hyperbolic open set and E is a Borel subset of 800 G with c(E) = 0, then w~(E) = 0 for all z in G.
Proof. Fix z in G. Using a Mobius transformation, there is no loss of generality in assuming z = 00. So K == 8 00 G == 8G has c(K) > O. If / = rob(K) and w = w~, then L w :s: / and so I(w) :s: /; thus w E MJ(K). If E is a Borel set with c(E) = 0 and E <;;: K, then Corollary 7.6 implies w(E) = O. 0 In light of the preceding theorem, the next few results are immediate from previous results in this chapter. Reference to the earlier versions of the results is given at the end of the statement. 8.2 The Maximum Principle. If G is a hyperbolic open set, E is a Borel subset of 800 G with c(E) = 0, and ¢ is a 8ubharmonic junction on
the hyperbolic set G that is bounded above and satisfies lim ¢(z):S: 0
Z~<;
340
21. Potential Theory
for every ( in 8 00 G \ E, then
a.
~
(See Theorem 5.1.)
21.8. Some Applications and Examples
Now for
8.3 Corollary. If G is a hyperbolic set, h is a bounded harmonic function on G, and there is a Borel subset E of 800 G with c(E) = a such that h(z) -+ a as z approaches any point of 800 G \ 6., then h == a. 8.4 Theorem. If Z is a polar set and G is a hyperbolic set, then for every point a in G, Z n 8G is w~-measurable and w~(Z n 8G) = a. (See Proposition 5.9.) 8.5 Corollary. If G is a hyperbolic open set, then the collection of irregular points for G is an FO" set with harmonic measure zero. (See Corollary 6.7.)
Now to produce a few examples. We will start with a sufficient condition for a compact set to have capacity zero. Let K be a compact set with diameter less than or equal to 1. This assumption implies that log Iz wl- 1 ~ a for all z, w in K. For r > a let N(r) be the smallest number of open disks of radius r that cover K. Note that if K has k elements, N(r) ~ k for all r. So the idea is that if N(r) does not grow too fast, K is a small set. 8.6 Lemma. With K and N(r) as above, J;[r N(r)]-1dr < ifL";' N(2- n )-1 < 00.
00
if and only
Proof. N(r) is increasing so for 1/2n +l ~ r ~ 1/2 n , [r N(2- n - 1)]-1 ~ [r N(r)]-1 ~ [r N(2- n )]-1. Hence log 2 < N(2- n- 1) -
-----,----=-------,-,--
1 2
n
-
1 r N(r)
log 2 . - N(2- n )
- - dr <
2-n-1
o 8.7 Proposition. With K and N(r) as above, c(K) =
r Jo r N(r) dr = 1
a if
a < r < 1, uz(r) logr- 1
r
logr 1du z (t)
Clog Iz
< and this converges to
I(J-t) = Since
Uz
J[1
1
1 r- uz(r) dr] dJ-t(z).
is increasing,
I(,,)
! [~J:', ~ fJ
"
n=O n n n Put Nn = N(2- ) and let Bk ) = B(zk ),2- n ), 1 ~ k ~ N n , be disks that cover K. Now any disk of radius r can be covered by 16 disks of radius r /2. Hence for a fixed value of n, no point of K can belong to more than n 1 16 of the disks Bk + ). Indeed, if z E Bkn+l), then Bkn+1) s-;; B(z; 2- n ). So if z belonged to more than 16 of the disks Bkn + 1) , we could replace each of these by the 16 disks of radius 2- n - 1 that cover B(z; 2- n ) and reduce the size of Nn+l, contradicting its definition. Thus
J
1
Nn+2
J
1
logr- 1duz(r)
n
-
~ 1~~2 f
1
1 1
r- 1uz(r) dr.
N n +2
= J-t(K)2 <
= uz(r) logr- 16 +
1=2 J-t(Bkn+2))2
log 2 ' " ' " (B(n+1))2 16 L.J L.J J-t k . n=1 k=1 Using the Cauchy-Schwarz Inequality,
[1110gr-1duz(r)] dJ-t(z).
1
1
1 )) dJ-t(z) ~ -6 ' " J-t(B(z;T n - 1)) dJ-t(z).
1 L.J B(n+2)
k=1 k
n 2 n 1 Now Bk + ) s-;; B(z; 2- - ) whenever z E Bkn +2). Therefore J-t(B(z;T
n=O k=1
Using integration by parts we get
1
n
U,(2- -')dr] d,,(z)
J-t(B(z; 2- n - 1)) dJ-t(z).
log 2
00.
Proof. Assume that c(K) > a and let J-t be a probability measure on K with I(J-t) < 00. For each z in K, let U z be the increasing, right-continuous function on [a, 1] defined by uz(r) = J-t(B(z;r)). Using the change of vari ables formula,
=
wl- 1dJ-t(w)
a as r -+ a. Therefore
00
I(J-t)
-
JB(z:r)
I(J-t)
1
l
=
341
[~' "(Bl »)]' nH
N n +1
< N n +1
L
k=1
J-t(B kn+l))2.
21. Potential Theory
342
21.8. Some Applications and Examples
343
Fix n :;:. 1 and a point x in Kn- For every p :;:. 0, let L p = K n n {y : ap+l s: Iy - xl s: ap}. (We take ao to be 1.) So
Therefore log 2 ~
_1 1(p,) :;:. 1"6 ~ N n + l
J
log Iy
-
xl-ldp,n(Y) =
f
2n Ian
1
log jy - xl-ldy.
and the proposition is proved. 0
8.13
Now form a Cantor set contained in [0, 1] as follows. Let {b n } be a strictly decreasing sequence of positive numbers less than 1 such that bl + 2b 2 + 22 b3 +··· 1. Delete from [0,1] the open subinterval oflength bl centered in [0,1]. Let K l be the union of the two closed intervals that remain; each has the same length, al' So 1 = 2al + bl . Now from each of the two component intervals that make up K l , delete the open middle interval of length h Let K 2 be the union of the 22 closed intervals that remain; each of these closed interval has length a2' So al = 2a2 + b2. Continue in this way to get a decreasing sequence of compact sets {Kn } satisfying the following for all n:;:' 1:
Note that for any P:;:' 0 and y in L p , log Iy - xl- l loga;~l' By drawing pictures it can be seen that there are at most 5 = 2·2 + 1 of the component intervals of K n within a distance an-l of x. Continuing, there are at most 2·2 j + 1 of the component intervals of K n within a distance an-j of x for 1 j n. Thus for P n - 1 and y in Lp ,
s:
8.8
(i) K n has 2n components, each of which has length an;
p=o
s:
°s:
s: s:
2n1a [ n
s:
log Iy xl-ldy
<
_1_ (2. 2n 2n an
<
4 Ioga -1 -2P +1' p
p
8.14
p
+ l)(loga;~l)an
For p:;:' n,
(ii) an-l = 2a n + bn .
2n~n [
It is left to the reader to prove the next proposition, which is standard
measure theory.
8.10 Theorem. If {Kn } is the sequence of compact sets satisfying (8.8)
and K = nnKn, then c(K) >
°
L 00
8.11
log jy - xl-ldy < p
8.9 Proposition. If {Kn } satisfies (8.8), then K = nnKn is a totally disconnected set having Lebesgue measure limn 2n an = 1 - (b l + 2b2 + 22 b3 + ...).
n=l
if and only if
1 2n loga~l <
c(K) :;:. exp [-2
2
-1
2na log ap+l [ap - ap+l] n
~ 2n
loga- l [ap - a p+l ] p+l an
s:
s:
1 -2nan
8.15
J L p
logly - xl-ldy
s: -22P
loga;~l
for all p :;:. n. Combining (8.14) and (8.15) with (8.13), we get
00.
J
4
s: L 00
log Iy - x\-ldp,n(y)
~ 2~ 10ga~1] .
2p loga;~l == M,
p=o
which is a bound independent of n. Since x was an arbitrary point of K n , 1(P,n) M for all n and this proves half the theorem. The estimate for the capacity (8.12) follows from the preceding inequality. For the converse, assume c(K) > 0. We will use Proposition 8.7, so adopt the notation from there. Using the fact that ao = 1 and the telescoping of the second series below, we get that
s:
Proof. Assume (8.11) holds. For each n :;:. 1 let P,n be the probability mea sure P,n = (2 n an )-lm!Kn , where m is Lebesgue measure on the line. The strategy here will be to show that there is a constant M such that I(P,n) M for all n. This implies that v(Kn ) M so that c(Kn ):;:' exp(-M). The result will then follow from Proposition 7.15 and the estimate (8.12) will be obtained by giving the appropriate value of M.
s:
.
Now from (8.8.ii) ap :;:. 2ap+l for all Pi so an :;:. 2P - na p for all P :;:. n. Hence [ap - ap+d ap 2n- P an for all p :;:. n. This gives that
If c(K) > 0, then 8.12
Lp
s:
00
L
n=l
1 2n+l
loga~l =
00
L
n=O
1 2n +l
[loga~~l -loga~lJ.
__ ,R_;~
-..-
344
21. Potential Theory
Observe that N(an+d :S 2n+2 • Hence 00
L
1 1 2n log a;;
:S
n=1
L
2 n=O N(a n+l) 00
<
ian
1
00
2
~
ian
an+l
Q.n+l
1 -r
N(r)
1 - dr r
L 2n n=l
00
1 dr o r N(r)
Proof.
loga;;l
=
L 2n 10g3 n=l
n
1
Izl>R
L 2n '
345
8.17 Example. If K is the Cantor set as in (8.8) with an then c(K) = 0 and so K is an uncountable set that is polar.
2 Ifl dA = 271'
L00 lan 21 r 2n1- 1 dr. 00
l
n=O
R
The first statement is now immediate. For the second statement note that by increasing R we may assume that f is analytic in a neighborhood of cl H. If, in addition, f(oo) = f'(oo) = 0, then f(z) = z-2 g (z), where g is a bounded analytic function on H. 0
n=1
In fact, by evaluating this last sum we get that c(K) ;:::: 3- 4 .
= exp(-2n ),
There is a strong connection between logarithmic capacity and Haus dorff measure. See Carleson [1967] and Tsuji [1975]. Also Landkof [1972] computes the logarithmic capacity as well as the Green capacity of several planar sets.
If f is analytic in a set H as in the preceding lemma, the condition that f and its derivative vanish at infinity is that 0 = limz--->oo f(z) limz--->oo zf(z).
9.3 Proposition. Fix an open set G and a point a in 800 G.
(a) If a is an isolated point of 800 G, then a is removable for L~ (G).
n 800 G has positive area for every removable singularity for L~ (G).
(b) If B( a; 8)
§9 *
~.-:fB!$=:-~
A calculation shows that
oon
= log 3
==
1
1 1
-~,~---
21.9. Removable Singularities
8.16 Example. If K is the usual Cantor ternary set, then K has Lebesgue measure zero and positive capacity. In fact, in this case an = 3- n and so
1
2
9.2 Lemma. If H = {z : Izi > R} and f(z) = 2::=0 anz- n is analytic on H, then f E L~.(H) if and only if ao = f(oo) = 0, al = 1'(00) = 0, and 2 ,",00 L.,n=2 lan R-(2n-2) < 00. If f is a bounded analytic function on H, f E L~ (H) if and only if f(oo) = 1'(00) = o.
dr
and this is finite by Proposition 8.7. 0
00
--~
is not true for arbitrary p. There will be more said about this after that proof. Before giving some elementary properties of rem(G) and exhibiting some examples, let's prove a basic result that will be useful in these discussions.
1
2
5RBi!!
_ ~ --
Removable Singularities for Functions in the Bergman Space
In this section we will use logarithmic capacity to characterize the remov able singularities for functions in the Bergman space. 9.1 Definition. If G is an open set and a E 800 G, then a is a removable singularity for L~ (G) if there is a neighborhood U of a such that each function f in L~(G) has an analytic continuation to G U U. Let rem(G) denote the points in 800 G that are removable singularities for L~(G). There is, of course, a concept of removable singularity for L~(G). Some of the results below carryover in a straightforward manner to such points. This will not be done here as a key result (Theorem 9.5) for the case p = 2 "This section can be skipped if desired, as the remainder of the book does not depend on it.
(j
> 0,
then a is not a
(c) The set GUrem(G) is an open subset ofint[clooG]. (d) Area[rem(G)] = O. Proof (a) If 00 is an isolated point of 800 G, then the result follows by Lemma 9.2. So assume that a is an isolated point of 8G; without loss of generality we may assume that a = O. Since 0 is isolated, f has a Laurent n expansion, f(z) = 2::=-00 anz . If R > 0 such that z E G when 0 < Izi :S R, then, as in the proof of Lemma 9.2,
00 >
1
Izl
00
If(zWdA(z)
=
L n=-oo
la n l 2
r io
R
r2n+ldr.
From here we see that an = 0 for n < 0, and so 0 is a removable singularity. (b) Suppose a E rem(G); we will only treat the case that a is a finite point. Let (j > 0 and assume each f in L~ (G) has an analytic extension to
......--;;
21. Potential Theory
346
Gu B(a; 8). If Area(B(a; 8) n 8G) > 0, there is a compact set K contained in B(a; 8) n 8G with positive area. Write K as the disjoint union of two Borel sets E l and E 2 having equal area; let J.Lj = ArealEj and put J.L = J.Ll - J.L2· If f is the Cauchy transform of J.L, then f is analytic off K and f( 00) = l' (00) = 0 (see 18.5.3). So if K ~ B(O; R), Lemma 9.2 implies f E L~({z: Izi > R}); since f is bounded, f E L~(G). (c) From the definition of a removable singularity, G U rem (G) is open. For the second part of (c) it suffices to show that rem(G) n 8[cl oo G] = 0. If a E 8 [cl oo GJ and U is any neighborhood of a, let b E U \ [clooG]; put f(z) = (z - b)-2." According to Lemma 9.2, f E L~({z: Izi > R}) for any R> Ibl. It follows that f E L~(G) and so a tI- rem(G). (d) If it were the case that rem(G) had positive area, then we could find disjoint compact subsets K l and K 2 of rem(G) with Area(Kl ) = Area(K2 ) > O. Let J.L = AIK1 - AIK2. Let f = P, the Cauchy trans form of J.L. By (18.5.2) f is a bounded analytic function on C \ (K 1 u K 2) and 0 = f(oo) = 1'(00). Thus f E L~(G). But K l u K 2 ~ rem (G) and so f can be extended to a bounded entire function; thus f is constant and so f = O. But this implies that AIK1 = AIK2, a contradiction. 0
21.9. Removable Singularities
347
to see that f 00 (z) ---> 0 as z ---> 00, so that 00 is a removable singularity. If z E V \ K, then f o and f 00 can be chosen above so that f == f o - f 00 is also a Jordan system with winding number about the point z equal to O. Thus Cauchy's Integral Formula implies that f(z) = fo(z) + foo(z). To see that fo and f 00 are unique, suppose go and goo are another pair of such functions. So fo(z) + foo(z) = go(z) + goo(z) on V \ K, so that
. fo(z) - go(z) = goo(z) - foo(z) there. This says that if h is defined on C by
h(z) = fo(z) - go(z) for z in V and h(z) = goo(z) - foo(z) for z in C \ K,
h is a well-defined entire function. Since h( 00) = 0, h == O. 0 Suppose V is an open set, K is a compact subset of V, and G = V\K. As was pointed out, if K ~ rem(G), Area(K) = O. Thus when K ~ rem(G), the restriction map f ---> fiG is an isometric isomorphism of L~(V) onto L~(G). Equivalently, if f E L~(V) and f = fo + foo as in the preceding lemma, then it must be that f 00 = O. We are now in a position to state and prove the main result of this section.
9.5 Theorem. If K is a compact subset ofC, then the following are equiv
So the typical case where rem(G) 1= 0 occurs when G = V \ K, where V is an open set and K is a compact subset of V with zero area. If we want to get K contained in rem(G), we must have that K is totally disconnected (Exercise 1). But more is required, as we will see in Theorem 9.5 below. First we need an elementary result about analytic functions.
alent.
9.4 Lemma. If V is an open subset of C, K is a compact subset of V, and f : V \ K ---> C is an analytic junction, then there are unique analytic functions fo: V ---> C and f 00 : Coo \ K ---> C such that f 00 (00) = 0 and
Proof. First we do the easy part of the proof and show that (b) and (c) are equivalent. If (c) is true and f E L~ (C \ K), then taking V = C in (c) shows that f has a continuation to an entire function. But f( 00) = 0 and so f == O. Now assume that (b) holds. Note that (b) says that K ~ rem(C \ K). (Actually, this is an equivalent formulation of (b).) By (9.3.d) Area (K) = O. Let V be any open set containing K. Fix a function f in L~ (V \ K) and write f = fo + f 00 as in the preceding lemma. To prove (c) it must be shown that foo = O. This will be done by showing that foo E L~(C \ K). Observe that if a E C \ K, then
f(z) = fo(z)
+ foo(z)
for z in V \ K.
Proof. If z E V, let robe a smooth Jordan system in V \ K such that K U {z} is included in the inside of r o. Let
fo(z) = _1
1
27ri r o
f(w)
~ - z dw.
(a) K is a polar set. (b) L~(C \ K) = (0).
(c) If V is any open set containing K, K
Cauchy's Theorem implies that the definition of fo (z) is independent of the Jordan system roo Also, it is easy to see that fo is an analytic function on
· 11m z foo(z) - foo(a) --
z-+oo
V. Similarly, if z E C \ K, let roo be a smooth Jordan system in V \ K that contains K in its inside and has the point z in its outside. Let
foo(z) = - -1.
1 --
f(w) dw.
27r Z roo w - z
Once again the definition of foo(z) is independent of the choice of Jordan system roo and f 00 : C \ K ---> C is an analytic function. It is also easy
Assume f 00 foo(b). Put 9.6
Z -
a
~
rem(V \ K).
_I
Joo
1= 0 and choose points a and b in C \
(a)
.
K such that
f (a) 1= 0 1= 00
g(z) = _1_ [foo(Z) - foo(a)] _ _1_ [foo(Z) - foo(b)] . foo(a) z- a foo(b) z- b
Clearly g is analytic in C \ K and from the prior observation 0 = g( 00) = g'(oo). Thus if R > max{lzl : z E K} and H = {z : Izi > R}, 9 E L~(H).
348
21. Potential Theory
On the other hand, if W is an open set with K <:::; W <:::; cl W <:::; V, 100 = 1 - 10 E L~(W \ K). If W is further restricted so that a, b ~ cl W, then 9 E L~(W \ K). Therefore 9 E L~(C \ K). By (b), 9 == O. This allows us to use (9.6) to solve for 100 (z). Doing this we see that 100 is a rational function with precisely one pole; denote this pole by c. If c ~ V, then 1 has an analytic continuation to V. If c E V, then 1 is analytic on V \ {c}. Now 1 E L~(V \ K), so c E K. Since Area( K) = 0, 1 E L~ (V \ {c}). By Proposition 9.3.a, c is a remov able singularity for 1. Thus 1 has a continuation to V. (b) implies (a) .. Without loss of generality we can assume that Area(K) = o and diam K < 1. Assume K is not polar; by Theorem 7.5, c(K) > O. We will exhibit a non-zero function that belongs to L~(C \ K). Let K l and K 2 be disjoint compact subsets of K, each of which has positive capacity. For j = 1, 2 let J.Lj be a probability measure on K j with logarithmic potential that is bounded above and put J.L = J.Ll - J.L2. So J.L is a non-zero measure carried by K and J.L(K) = O. If l(z) = jl(z), the Cauchy transform of J.L, 1 is analytic in Coo \K with 0 = 1(00) = 1'(00) (18.5.2). Choose R > 1 such that K <:::; B(O;R) and put H = {z: Izi > R}. By Lemma 9.2,1 E L~(H). To show that 1 is square integrable over D = B(O; R), we first find an estimate. Let z, w E K with z i- w and for 0 < ~ < Iz - wl/2 put B g = B(w;~) U B(z;~). Note two things. Because z i- w, the function ( --. [(( - w)( - Z)]-l is locally integrable with respect to area measure. Thus dA(() = lim dA(().
r
r
lD (( - w)(( - z)
g--;OlD\B. (( - w)(( - z)
Also note that ( - Z)-l = 28dlog I( - zlJ. Thus Green's Theorem implies that
r
dA(() lD\B. (( - w)(( - z)
2
-
r
~
Also 1
r
z ll(I=R
-~
IJgI :::; 211" Finally
1=
Now
Ig
11
2
z
0
71"
. .
log Iw - z + ee t9 1 i ~ e t9 dO
211" log Iz -
wi·
e
l
Iz-wl-~'
-
- w
zl R ei9 dO.
:::;
III
+ jIgl
-IJgl
< C l log 2R + 211" log Iz - wl- l
+211"
10 loge- l Iz-w I -10 .
Letting ~ --. 0 we see that there is a constant C that depends only on R and K such that
r _d_A-'-='(()_1
9.7
IlD (( - w)(( - z):::;
C 1 2R og -Iz---wi
whenever wi- z. Now the fact that LJ1.1 and LJ1.2 are bounded above implies that the measure J.L can have no atoms. Hence IJ.L x J.L1({(z,z) : z E K}) = 0 by Fubini's Theorem. So (9.7) holds a.e. [IJ.L x J.LIJ on K x K and
r I
I
dA(() d lKXK (( _ w)((z) IJ.L x J.L1(z,w) :::; C
r r log -z-w 2RII dlJ.Ll(z) dlJ.Ll(w)
lKlK
= 4C log 2R + I(IJ.LI)
< 00. From Fubini's Theorem we get that
r 111
lD
-:-
loge
I i9 10~~:
r
_~ r
=
271"
dA(()
lD\B. (( - w)(( _ z) I
log!( - zl d( (- w
log I( - zl d( z l,(-zl=g ( - w 1- I g - Jg •
r lo
~
Put d = sup{lzl : z E K}. So d < Rand IR e i9 - wi ~ R - d. Also log IR ei8 - zl :::; log 2R. Thus there is a constant C l depending only on R and K such that III :::; Cllog 2R. Therefore
log /( - zl d( (- W
1
i9
log I~ e \. i ~ ei9 dO. (z - w + 10 e t9 )
So
(- w
z (-wl=g
f271"
Jg = i lo
8 [log I( - ZIJ dA(()
lD\B.
349
21.9. Removable Singularities
2
dA
=
r [r
r
dJ.L(W)] [ ~(z~] dA(() lD lK(-W h(-z
r Ir
dA(()
I
< lKXK lD ((-w)((-z) dlJ.L x J.L!(z,w) < 00.
iiiiiZ
=
=
;
-.---
351
21. Potential Theory
21.9. Removable Singularities
Thus I E L~((rc \ K). (a) implies (b). Now assume that K is polar; so K is totally disconnected and rc \ K is connected. If I E L~ (rc \ K), then I has an expansion I(z) = L~=2 an z-n (9.2). To show that each such I is the zero function, we need only show that an = 0 for all n ~ 2. Note that this is equivalent to showing that for all n ~ 1, zn I(z) dz = 0, where f is any smooth Jordan system surrounding K. Without loss of generality it can be assumed that K ~ j[J). Let f be a finite collection of pairwise disjoint smooth positively oriented Jordan curves in J!JJ \ K sUGh that K ~ ins f; put, = rob(r), the Robin constant of the point set f. Put W = Coo \ [f U ins f] = out f, let w be harmonic measure for W evaluated at 00, and let 9 be the Green function for W. If u = L w , then u is harmonic on Wand, by (3.5), u(z) = 1 g (z, 00) for all z in W, and u(z) = 1 for all z not in W (because oW = f is a system of curves and so each point of f is a regular point). For E > 0, set f e = {z : u(z) = 1 - E} and E e = f e U ins fe. The value of E can be chosen as small as desired with f e a smooth positive Jordan system that contains f in its inside. If U = {z : u(z) > O} \ E e , U is a bounded open set that contains E e and has a smooth boundary. Note that if Izi > 2, dist(z, f) > 1 and so [z - W[-l < 1 for all W in f; thusu(z) < O. Hence U ~ 2]])). If 9 is any function analytic in a neighborhood of cl[{z : u(z) > O} \ d[ins f]], then
According to (19.5.2), au
350
i
r.
au(z) dz
,-l
{ g(z) dz = { g(z) dz = _1_ {
Jr
Jr.
1-5Jau
g(z) u(z) dz.
Thus applying Green's Theorem we get 9.8
1 r
g(z) dz
=
-21-E
1u
2 a[g u] dA = -1-E
1 u
9 au dA.
Taking 9 = OU in (9.8) and using the fact that u is real-valued, we get
{ ou(z) dz
Jr. Now fix n ~ 1, let
I
E L~(C
=
_2-J 1-
~
Ii
1
ouI2 dA.
U
\ K), and let 9
11 zn f(z) dzl2
= zn I
in (9.8); this yields
2
znl&u dAI
~ [llzn fl 2dA] [llaU[2 dA ]
< <
E
2n +l 1-
E
{
IlfW Jr.
au(z) dz.
=
_(2,)-lw, the Cauchy transform of w. Thus
-2~[.[[(~Z dW(O]
2~
Ir
,-1
=
dz
t i. [z ~ ( dZ] ~(()
1
2,' since f is in the inside of f e' This combined with the fact that arbitrary gives that
It
2
zn f(z) dz
E
was
2n IIfll 2 ::::; rob(f)
1
for any such system f. Since c(K) = 0, we can get a sequence of such curve systems {fd that squeeze down to K. Thus rob(f k ) -7 00; but Irk zn I remains constant. Thus this integral must be zero and so I = O. 0 The first reference for the preceding result that the author is aware of is Carleson [1967], page 73. The proof above is based on Hedberg [1972a]. In this paper and its cousin, Hedberg [1972b], various capacities are introduced that are related to logarithmic capacity and Green capacity, and connec tions are made with removable singularities of certain spaces of analytic and harmonic functions. In particular, a q-capacity is defined, 1 < q :S 2, and a compact set K has q-capacity 0 if and only if L~(C\K) = (0), where p and q are conjugate exponents. When 2 < q < 00 (1 < P < 2), the story is simpler. See Exercise 4. The reader can consult these references for details. 9.9 Theorem. lfG is any open set and a E aooG, then a E rem(G) il and only if there is a neighborhood U of a such that c(clU \ G) = O.
Proof. Suppose U is a neighborhood of a and c(d U \ G) = O. We assume that a is a finite point, the case that a = 00 being obtained from the finite case by applying a suitable Mobius transformation. Thus cl U \ G is totally disconnected and there is another neighborhood V of a such that V n (cl U \ G) is compact. Put n = G U V and K = V n (d U \ G). So K ~ nand n \ K = G. By Theorem 9.5 each function in L~(G) has an analytic continuation to n and so a E rem(G). If c( cl U \ G) > 0 for every neighborhood U of a, then for every such U there is a non-zero function I in L~(rc\ (cl U\ G)). Thus IIG E L~(G) and f cannot be extended to U. 0 Further results on spaces L~(G\K) can be found in Axler, Conway, and McDonald [1982] and Aleman, Richter, and Ross [preprint].
352
21. Potential Theory
Exercises 1. If a E oooG and the component of oooG that contains a is not trivial, then a ~ rem(G).
2. If a E oooG and for each f in L~ (G) there is a neighborhood U of a such that f has an analytic continuation to G U U, then a E rem(G). 3. In Lemma 9.4, show that if the function f is bounded, then so 'ire fa and foo.
4. If K is a compact suhset of the bounded open set G, 1 ::::; G \ K)
§1O
p
< 2, and
= L~(G), then K = 0.
Logarithmic Capacity: Part 2
We resume the study begun in §7.
10.1 Lemma. If K is a compact set with positive capacity and p, is an equilibrium measure, then LI-'(z) = v(K) for all z in int K.
Proof. Let a E int K and let B = B(a; r) such that cl B S;; int K. Since the logarithmic potential is superharmonic, (7rr 2)-1 Ll-'dA::::; LI-'(a) ::::; v. But LI-' = v = v(K) q.e. in K and so LJL = v a.e. [Area] (7.12). Thus this integral equals v and we get LI-'(a) = v. 0
IE
10.2 Theorem. If K is a compact set with positive capacity, then:
(a) v(K) is the Robin constant, for K; (b) The equilibrium measure is unique. In fact, if G is the component
of Coo \ K that contains 00, then the equilibrium measure for K is
harmonic measure for G at 00.
(c) The Robin constant of K is also given by the formulas rob(K)-l
sup{p,(K) : p, E M+(K) : LJL ::::; 1 on K}
inf{p,(K) : p, E M+(K) : LI-' :::: 1 q.e. on K} Moreover ifc(K) > 0, both the supremum and the infimum are attained for the measure ,-l W , where w is harmonic measure for G at 00. The measure , - IW is the only measure at which the supremum is attained. Proof. Adopt the notation in the statement of the theorem and put v = v(K). Let w be harmonic measure for G at 00, let p, be an equilibrium measure for K, and let y be the Green function for G. By Proposition 3.5. Lw(z) g(z, (0) for all z in G and L w ::::;, on C.
=, -
353
21.10. Logarithmic Capacity: Part 2
Now h(z) = v - LI-'(z) is a positive harmonic function on G except for the point 00. From (19.5.3), L,Az) + log [zl ---+ 0 as z ---+ 00. Hence h(z) -log Izi ---+ v as z ---+ 00. By the definition of the Green function, , - Lw(z) = g(z, (0) ::::; h(z) = v - LJL(z). Letting z ---+ 00, we get that, ::::; v. Since we already know that v ::::; , (7.5), this proves (a). Note that I(w) = Lwdw ::::; , = v. By the definition of v(K), I(w) = v and w is an equilibrium measure. Put v = w - p,. From the preceding paragraph we have that Lv :::: O. We also have that Lv ::s , - LI-' and is therefore bounded above on compact sets. But v(K) = 0 implies that Lv(z) ---+ 0 as z ---+ 00; therefore Lv is a bounded harmonic function on Coo \ K. Now Theorem 7.12 implies there is an Fa set E with c(E) = 0 such that Lw(z) = LI-'(z) = , for z in K \ E. By Corollary 7.13, Lv(z) = Lw(z) - LJL(z) ---+ 0 as z approaches any point of O[C \ K] \ E. By the Maximum Principle, Lv = 0 in C \ K. But we also have that Lv(z) = 0 on int K from the preceding lemma. Hence Lv vanishes q.e. on C (off the set E) and thus Lv(z) = 0 a.e. [Area]. By Theorem 19.5.3, w - P, = l/ = O. To prove (c), let a = sup{p,(K) : p, E 1'.1+(K) : LJL ::::; 1 on K}. Taking p, = , - I W in this supremum shows that a :::: On the other hand, if p, E M+(K) with LJL ::::; 1 on K, then Jl1 = p,(K)-l ll E 1'.11(K) and I(p,d ::::; Jl(K)-l. Hence, ::s inf{p,(K)-l : p, E M+(K) with LI-' ::::; Ion K} = a-I so that a ::::; This shows that a = and the supremum is attained for the measure w . If p, is any positive measure supported by K such that LI-' ::s 1 and p,(K) = ,-1, put P,1 = ,p,. So P,1 is a probability measure and I(p,d ::::; ,. Hence P,1 = hy part (b). Now let (3 denote the infimum in part (c). If p, is any measure in M+(K) with LI-' :::: 1 q.e. on K, then LI-' :::: 1 a.e. [wJ. Therefore J LI-'dw = ,-1 Lwdp, ::s p,(K). Thus ::s {3. On the other hand, LI-' :::: 1 q.e. on K for p, = , - l W so that = (3. 0
I
,-1.
,-1.
,-1
,-l
,W
J
,-1 ,-1
,-1 : : ; ,-1
So you noticed there is no uniqueness statement for the infimum ex pression for rob( K) -1 in part (c) in the preceding theorem. This is be cause there is no uniqueness statement! Consider the following example.
Put K = {z : Izi ::s 1/2}. So rob(K) = log2 (3.3). If 00 is the unit
point mass at z = 0 and m is normalized arc length measure on fj K,
then it is left to the reader to check that for both p, = (log 2)-1 00 and p, = (log 2)-I m , LI-' :::: 1 q.e. on K. Where does the proof of uniqueness for the expression for rob(K)-l as a supremum break down when applied to the expression as an infimum?
10.3 Corollary. If K is a compact set with positive capacity, G is the component of Coo \ K that contains 00, and w is harmonic measure for G at 00, then c(ok \ supp w) = 0 and c(K) = c(k) = c(ok). Let F = ok \ supp w. For each z in F, L w is harmonic in a neighborhood of z. Since L w ::s " the ~1aximum Principle implies LI-'(z) <
Proof.
21. Potential Theory
354
'Y for all z in F. But Theorem 7.12 implies LjJ(z) = 'Y q.e. on K, which includes oK. Hence c(F) = O. The rest of this corollary follows from the definition of the Robin constant. 0
[Area]. If E > 0, the regularity of the point a implies there is a 0 > 0 such that g(z, 00) < E for z in G(a; 8). Thus 'Y ?:: Lw(a)
The next three corollaries follow from computations of the Robin con stant in §3.
~
r
1,(2 LwdA
7l' u lB(a:li)
- 1 2 7l' 0
10.4 Corollary. If K is a closed disk of mdius R, c(K) = R.
'Y
If we combine this last corollary with the proof of the Riemann Mapping Theorem, we have that for a compact connected set K c(K)
= sup{IJ'(oo)1 : f is analytic on C \ K,
f(oo)
= 0, and
If I ::; I}.
Thus in the case of compact connected sets, c(K) is the same as analytic capacity (Conway [1991], p 217). Once again we record pertinent facts about the r-logarithmic capacity. The proof is left as an exercise for the reader.
10.7 Theorem. If K is a compact subset of r]j}, then cr(K)
sup{J.l(K) : J.l E M+(K) : L~ ::; 1 on K} inf{J.l(K) : J.l E M+(K) : L~ ?:: 1 q.e. on K}.
1
LwdA +
B(a:li)\G
> 7l' 02 Area(B(a; 0)) + > 'Y - E. 0
10.5 Corollary. If K is a closed line segment of length L, c(K) = L/4. 10.6 Corollary. Let K be a compact connected subset of C and let G be the component of Ceo \ K that contains 00. If 7 : G ---+ ]j} is the Riemann map with 7(00) = 0 and p = 7'(00) > 0, then c(K) = p.
355
21.11. The Transfinite Diameter
-1 2 7l' 0
'Y7l'
1
LwdA
G(a:li)
E
02 Area(G(a; 0)
We turn now to an application of the uniqueness and identification of the equilibrium measure for a compact set.
10.9 Theorem. Let G be a hyperbolic region in Ceo with G = UnG n and assume that a .E G n ~ Gn+l for all n. If wand Wn are the harmonic measures for G and G n at a, then Wn ---+ w weak* in M(C eo ). Proof. There is no loss in generality in assuming that a = 00. If K and K n are the complements of G and G n , then K = nnKn and wand Wn are the equilibrium measures for K and K n . Recall Proposition 7.15, where it is shown that every weak* cluster point of {w n } is an equilibrium measure for K. Since the equilibrium measure is unique and these measures lie in a compact metric space, W n ---+ W weak*. 0
Exercises
If c.,.(K) > 0, both the supremum and the infimum are attained for the measure cr(K)-lw, where w is harmonic measure for G = Coo \ K at 00. The measure Cr(K)-lW is the only measure at which the supremum is attained.
1. Show that if E is any set and F is a set with c(F) = 0, then c(E) = c(EU F) = c(E \ F).
10.8 Proposition. Let K be a compact set with positive capacity and let G be the component of Ceo \ K that contains 00. If w is harmonic measure for G at 00 and a E 0 G, then a is a regular point for G if and only if Lw(a) = v(K).
3. If K is the ellipse x 2/a 2 + y2/b 2 = 1, then c(K) = (a
Proof. If 9 is the Green function for G, then a is a regular point if and only if g(z, 00) ---+ 0 as z ---+ a (5.2). On the other hand, Lw(z) = 'Y - g(z, 00), where 'Y = v(K). So if Lw(a) = 'Y, then the fact that L w is lsc implies that 'Y = Lw(a) ::; liminC-+a Lw(z) ::; limsuPz-+a Lw(z) ::; 'Y (3.5). Thus L w(z) ---+ 'Y as z ---+ a and so g(z, 00) ---+ 0 as z ---+ a, showing that a is regular. Now assume that a is regular. Combining Theorem 10.2 with (7.12) we have that L w = 'Y q.e. on C \ G; so, in particular, this equality holds a.e.
2. If K is a closed arc on a circle of radius R that has length () R, show that c(K) = Rsin(8/4).
+ b)/2.
4. Let p(z) = zn + alz n- 1 + ... + an and put K = {z E C : Ip(z)1 ::; R}. Show that c(K) = ifR. (See Exercise 19.9.3.)
§1l
The Transfinite Diameter and Logarithmic Capacity
In this section we will identify the logarithmic capacity with another con stant associated with compact sets: the transfinite diameter. This identifi cation shows an intimate connection between the logarithmic capacity and the geometry of the plane.
356
21. Potential Theory
Let K be a fixed compact set and for each integer n ~ 2 let K(n) = {z = (Zl, ... ,zn) E en: Zj E K for 1:'S: j:'S: n}. Let Cn = n(n -1)/2 = (;), the number of ways of choosing 2 things from n things. Define the constant
11.1
Dn(K)
II
== max {[
IZj - Zkl] l/cn : z
E
K(n)}.
l$j
Let's note a few facts. First, because of the compactness of K(n), this is a maximum and not just a supremum. Second, if K has N points, then Dn (K) = 0 for n > N. So for the immediate future assume that K is infinite. In particular, Dn(K) > 0 for an infinite K. Also note that if Zj = Zk for some j < k, the product in (11.1) is zero. So the maximum can be taken over z in K(n) with Zj -I Zk for 1 :'S: j < k :'S: n. Next observe that D2(K) = diam K. Finally, if z E K(n), then the Vandermonde of z, V(z), is defined as the determinant V(z) = det 11, zj, zj-lll$j$n.
zJ, ... ,
It follows that
II
V(z) =
21.11. The Transfinite Diameter
357
11.3 Definition. For a compact set K the number
Doo(K)
=
lim Dn(K) n->oo
is called the transfinite diameter of K. The existence of this limit is of course guaranteed by the preceding propo sition and it is clear why the terminology is used. For finite sets the trans finite diameter is zero, but there are examples of compact sets that are infinite and have zero transfinite diameter. Indeed the next theorem com bined with Example 8.17 furnishes such an example. 11.4 Theorem. If K is a compact set, then the transfinite diameter of K
equals its logarithmic capacity. Proof. If K is finite, then both Doo(K) and c(K) are zero. So assume that K is infinite. Let Dn = Dn(K) and Doo = Doo(K). Let w be the equilibrium measure for K and let Zl, ... , Zn be any points in K. Observe that
(Zk - Zj).
L
l$j
loglzk _Zjl-l ~ cnlogD~l
l$j
So Dn(K) = max{W(z)ll/c n : z E K(n)}.
even if these points are not distinct. If L is the function defined on K(n) 11.2 Proposition. For any compact set K the sequence {Dn(K)} is de by L( Zl , ... , zn) = the left hand side of the preceding inequality and 1.1 = creasing. W X •. , x w (n times), then 1.1 is a probability measure and so Proof. Let z E K(n+l) such that Dn+l = Dn+l(K) = W(z)ll/Cn+l. Thus
Cn + Dn+l
1
II
IZn+l - zll·· ·IZn+l - znl
\Zk - zjl
cnlogD~l
:'S:
< IZn+l - zll· . ·IZn+l - znID;n.
< DCn n
II jZk -
j=l k=j+l
z·l· J
D~~il)cn+l
< _
+ 1 inequalities gives that
II II IZk -
n+l
[ k=lj#
L
L L
j#
Taking the product of these n
Zj!
]
n
log IZk
zjl-ldw(zt} ... dw(zn)
j=l k=j+l n-l n
+1
uJ:Cn+l n +l -
L(zI,,,,,zn)dl.l
n-l
l$j
Similarly, for each k = 1, ... , n
J JL
D~n+l)Cn
Dn(n+l) Dn(n-l)(n+l)/2 n+l n .
Performing the algebraic simplifications and taking the appropriate roots, we discover that Dn + 1 :'S: Dn . 0
=
JJ
log IZk - zj\-ldw(zj)dw(Zk)
cnI(w)
cnrob(K).
Thus Doo ~ c(K). For the reverse inequality, choose an arbitrary e > O. By Corollary 7.16 there is an open set U that contains K and satisfies c(U) < c(K) + e. Let n be sufficiently large that 1/..;n:7F < dist(K,oU) and let Zl,,,,,Zn be points from K such that Dn = W(zW/c n . Put B j = B(zj; 1/..;n:7F). (So Area(Bj ) = n- l .) Define 1"(z) to be the number of disks B j that contain z. Note that 1" is a Borel function with 0 :'S: 1" :'S: n. If J.L is the measure 1" A,
....
M z : = = .---
21. Potential Theory
358
then
/1 > 0 and 11/111 = L:j Area(Bj ) = v(U)
:::::
1. So
/1
JJ
log Iz - wl- 1T(z) T(W) dA(z) dA(w)
t,L, [t,L. lOgl'-WI-'dA(Z)] v(U) .,;
~
t, L, It,
log Iz> - WI-']
11.6 Corollary. II, is a rectifiable Jordan arc or curve and K is a compact subset 01" then c(K) ~ 1K1/4, where IKI denotes the arc length 01 K.
dA(w)
Now for any w, Z ---. log Iz - wl- 1 is superharmonic. Thus wl- 1dA(z) ::::: n- 1Jog IZk - wl- 1. Thus
IB
k
log Iz
dA(w).
Similarly for j i k, lB. log IZk - wl- 1dA(w) ::::: n- 1 10g IZk - Zj 1- 1. If j J then an evaluation of the integral using polar coordinates gives
J(Bk log IZk -
wl- 1dA(w)
=
~
2n
= k,
Hence
v(U)
<
~n
[I: ~ jcfk n
2" 2" LJ n
=
log IZk - zjl-1
+n
log IZk - zjl 1
~2n (1 + 10gmr)]
1 (1 + logmr) + -2 n
1::;j
+ logmr).
Letting n ---. 00 we get that v(U) ::::: log 6;;,1 so that c(K) > c(U) 600 - E. Hence c(K) ~ 6oo (K). D
E ~
The advantage of the transfinite diameter over logarithmic capacity is that the transfinite diameter is more geometric in its definition. After all, the definition of the logarithmic capacity of a set is given in terms of mea sures, while the definition of the transfinite diameter is in terms of distances. This is amplified in the next corollary, which would be more difficult to prove without the preceding theorem. 11.5 Corollary. II K is a compact set and I : K ---. L is a surjective
lunction such that there is a constant M with I/(z) - l(w)1 ::::: Mlz all z, w in K, then c(L) ::::: c(K).
Proof Assume that, is parametrized by , : [0,1] ---. C with a = ,(0) . a point in K. If Z E K, Z i a, there is a unique t in (0,1] such that ,(t) = z. Define I : K ---. [O,IK\J by I(z) = IK n ,([0, t])j. It is clear that I is surjective. If z, w E K and Z = ,(t), w = ,(s) with 8 < t, then I/(z) - l(w)1 = IK n ,((s, t])1 ::::: 1,([8, t])1 ::::: Iz - wi since the shortest distance between two points is a straight line. According to the preceding corollary, c(K) ~ c([O, IKIJ) = IKI/4 by Corollary 10.5. D
11.7 Corollary. II K is a compact connected set and d = diam K, then
c(K)
~
d/4.
Proof Let a, b E K such that 10. - bl = d. By a rotation and translation of K, which does not change the capacity, we may assume that a = 0 and b = d E K By the choice of a and b, 0 ::::: Re Z ::::: d for all Z in K. Since K is connected, Re : K ---. [0, dJ is surjective. According to Corollary 11.5, c(K) ~ c([O, d]) = d/4 (10.5). D
+ logmr).
(1
359
21.11. The Transfinite Diameter
1 ::::: j < k ::::: n} ::::: M6~n(K); equivalently, 6n (L) ::::: M 1/ C n c5 n (K). Letting n ---. 00 gives the conclusion. 0
M 1 (U). Therefore
E
---:::::--=:---=------
There is an equivalent expression for the transfinite diameter and hence the logarithmic capacity of a compact set connected to polynomial approx imation. This development is sketched below without proof. The interested reader can see Chapter VII of Goluzin [1969] and §16.2 of Hille [1962]. Let K be an infinite compact set and for n ~ 1 let P n be the vector space of all polynomials of degree at most n. If IlpIIK == max{lp(z)I : Z E K}, then II· 11K defines a norm on P n . Let M n be the collection of all monic polynomials of degree n. That is, M n consists of all polynomials of the form p(z) = zn + a1Zn-1 + ... + an. Define the constant
M n == inf{llpllK : P E M n }. Note that 0 ::::: M n < 00. It can be shown that there is a unique poly nomial Tn in M n with IITnll K = M n . The existence of Tn is easy but the uniqueness is not. The polynomial Tn is called the Tchebycheff poly nomial for K of order n. The Tchebycheff constant for K is defined by tch(K) == limn-->oo 1Mn(K), which always exists and is finite. In fact, it is easy to see that tch(K) ::::: diam K. It turns out that the Tchebycheff constant and the transfinite diameter are the same.
wi lor
Let (1, ... ,(n E L such that 6~n (L) = IH I(k - (j I : 1 ::::: j < k ::::: n} and pick Zl, ... ,Zn in K with I(zj) = (j. So 6~n (L) = IHI/(zk) - I(zj)! :
Exercise
Proof
1. Let K be a compact set and suppose
z=
(Z1"'" zn) E K(n) such
---
"""'''"'''''"'''''''''''"'''''"'''''"'''."..''"'''''''''''"'''~--~-.-.
360
21. Potential Theory
that 8~n = I11<j
ZI, ... ,
Zn belong to
at<
~
21.12. The Refinement of a Subharmonic FUnction
(c) (d)
IE = u on E;
IE = i E on int
361
E,
(e) 10 == 0, §12
The Refinement of a Subharmonic Function
Because of the intimate connection of subharmonic functions with so many of the properties of capacity and the solution of the Dirichlet problem, it is no surprise that the ability to manufacture these functions will extend the power of the theory and increase the depth of the results. In this section a new technique is developed that increases our proficiency at constructing subharmonic functions. In the next two sections this augmented skill will be put to good use as we prove Wiener's criterion for regularity. Let G be a hyperbolic open subset of C and suppose E is an arbitrary subset of G. For a negative subharmonic function u on G define
I}t;(z)
sup {cP( z) : cP is a negative subharmonic function on G that is not identically -
00
on any component of G
and cP :S u on E} . The function I}t; is called the increased function of u relative to E. Be aware that in the notation for the increased function the role of G is suppressed. Also note that I}t; may fail to be usc and thus may not be subharmonic. To correct for this, define
i}t(z)
= lim sup I}t;(w) w-+z
for all z in G. The function i}t; is called the refinement of u relative to E. The term for this function most often seen in the literature is the French word "balayage." This word means "sweeping" or "brushing." The term and concept go back to Poincare and the idea is that the subharmonic function u is modified and polished (or brushed) to produce a better behaved function that still resembles u on the set E. That the function i}t; accomplishes this will be seen shortly. We are avoiding the word "sweep" in this context as it was used in §2 in a different way. Here are some of the properties of the increased function and the refine ment. Let lP~ be the set of negative subharmonic functions used to define I}t;. 12.1 Proposition. If G is a hyperbolic open set, E and F are subsets of G, and u and v are negative subharmonic functions on G, then: (a) iff: is subharmonic on G, U (b) u < - IE < -
i Eu
< - 0 on G·,
(f) If E ~ F, i E 2 ilf., i u
(h) JfJ t
(j) I}t; = i}t; on G \ cl E and this function is harmonic there. Proof. Part (a) is a direct application of (19.4.6). Parts (b) through (h) are easily deduced from the definitions, while part (i) follows from the relation lP~ + lP E ~ lP~+v. To prove part (j) we will use Lemma 19.7.4. First note that if cPI and cP2 E lP then so does cPI V cP2. Second, if cP E lP D is a closed disk contained in G \ cl E, and cPI is the harmonic modification of cP on D, then cPI E lP Hence I}t; is harmonic on G \ clEo Since I}t; is continuous there, I}t; = IE' 0
e, e.
e,
It may be that strict inequality holds in part (b). See Exercise 1. In fact, this exercise is solved by looking at the proof that the origin is not a regular point for the punctured disk and this is no accident. It will be shown later in this section that I}t; = i}t; except on a polar set (Corollary 12.10). Now for one of the more useful applications of the refinement of a sub harmonic function. 12.2 Proposition. If u is a negative subharmonic function on G and K is a compact subset of G, then there is a positive measure /-l supported on K such that i'K = -GIL (the Green potential of /-l).
Proof. By Corollary 4.11 it suffices to show that the least harmonic ma jorant of i'K is O. First assume that G is connected and u is bounded on K; so there is a positive constant r such that u 2 -r on K. Fix a point a in G and let ga(z) = g(z, a) be the Green function for G with pole at a. Since ga is lsc, there is a positive constant s such that ga (z) 2 s for all z in K. So for t = rls > 0, -tga E lP'K and so -t ga :S I}t;. Now ga is harmonic on G \ {a} and so -t 9a :S i'K :S O. Thus if h is a harmonic majorant of 9a 2 -hit. Since the greatest harmonic minorant of ga is 0, this implies h 2 0 and so the least harmonic majorant of i'K must be O. Now assume that u is bounded on K but G is not connected. Because K is compact, there are at most a finite number of components G I , ... , G n of G that meet K. Also K j == K n G j is compact. If H is a component of G different from G I , ... , Gn , then the fact that H n K = 0 yields that i'K = 0 on H (12.1.e). This case now follows from the preceding paragraph applied to each of the components G I , ... , G n .
iK,
--
-
,-
....
~--
~'.--
~~=~_.
-----
'.'-----
- ---
~
L_
_.-----.----~..
.~=
_
21. Potential Theory
362
Now for the arbitrary case. Let h be the least harmonic majorant of ii(. Since ii( :s; 0, h:S; 0, it must be shown that h ?:: O. By Theorem 4.10 there is a positive measure /l on G such that ii( = h - G/'. In fact, /l = D.,ii( in the sense of distributions. Since ii( is harmonic on G \ K, sUPP/l ~ K; in particular, /l is a finite measure. If v = -G/" then v is a negative subharmonic function on G and U = h + v. By (12.l.i), ii( ?:: i + if<. Thus h is a harmonic majorant of if<. But h is bounded on K and so the least harmonic majorant of if< is O. That is, h ?:: O. 0
x
12.3 Corollary. If G is a hyperbolic open set, U a negative subharmonic function on G, and K a compact subset of G, then there is a positive measure /l supported on K such that u(z) = -G/,(z) for all z in int K. Proof. According to Proposition 12.1, iI( preceding proposition. 0
=
u on int K. Now use the
In the next proposition we will see how the refinement is used to show that subharmonic functions can be extended in some sense.
12.4 Proposition. Ifu is a subharmonic function on the disk B r = B(a; r) and 0 < s < r, then there is a subharmonic function Ul on C such that Ul = U on B s and Ul is finite on C \ clBs. In fact, Ul(Z) = 10g(lz - al/r) for Iz - al ?:: r. Proof. Clearly, by decreasing r slightly, it can be assumed that U is subhar monic in a neighborhood of cl B n and hence bounded above there. There is no loss in generality in assuming that u :s; 0 on cl B r . Put K = cl B s and consider ii(. From Proposition 12.1 we know that Ii( = U on B s and is harmonic on B r \ K. If 9 is the Green function for B r , then Proposition 12.2 implies there is a positive measure /l supported on cl B s such that
II( = -Gw
But if ( E aB n g( w, z) --t 0 uniformly for w in K as z --t ( (Exercise 6.2). Thus G/,(z) --t 0 as z --t ( for all ( in aBr' By Corollary 13.4.13 II( = -G/' can be extended across the circle a B,.. That is, there is at> r and a function w defined on B t such that w = II( on B r , w is harmonic on B t \ cl B s ' and w :s; O. Define Ul on C by letting Ul = II( = w on B r and Ul(Z) = log(lz - allr) on C \ B r . It follows from Exercise 19.4.9 that Ul is subharmonic. 0
In the next two propositions we will construct subharmonic functions that have specified behavior relative to a polar set. These results are im provements of the definition of a polar set and Proposition 5.5. 12.5 Proposition. If Z is a polar set and a rf- Z, then there is a subhar monic function U on C such that u = -00 on Z and u(a) > -00.
~
........
H~,._ci._""'.,'-"".,
...._...._
~
-._or.
_._.-_~ __.",_•.
-
"~:'":."'--:'
~
,.~_.="
-.- - ,,"~~:=--=~-~-:-::'::"-:'~""'~=~--====-""'''''-'''----''~--------~_._-''.---.----
21.12. The Refinement of a Subharmonic Function
363
Proof· By definition there is a subharmonic function v on C that is not constant with v(z) = -00 for all z in Z. Let {zn} be a sequence of points in Z and {rn } a sequence of radii with 0 < 2rn < IZn - al such that if B n = B(zn; rn ), Z ~ UnBn . By Proposition 12.4 there is a subharmonic function Un on C with Un = v on B n and un(z) > -00 for z rf- cl B n . In particular, un(z) > -00 for Iz-al :s; r n . Since Un is usc, there is a constant an such that -00 < un(z) + an :s; 0 for Iz - al :s; r n . Now choose positive scalars {t3n} so that Ln t3n[u n (a)+a n ] > -00. If u(z) = L n t3n[U n (Z)+a nJ, then it is easy to check that U has the desired properties. 0
12.6 Proposition. If G is a hyperbolic open set, Z is a polar set that is contained in G, and a E G \ Z, then there is a negative subharmonic junction u on G with u(z) = -00 for all z in Z and u(a) > -00. Proof First observe that it suffices to prove the proposition under the additional condition that there is an open disk D that contains Z with cl D ~ G. Indeed, if the proposition is proved with this additional condition, then in the arbitrary case let {Bn } = {B(an;r n )} be a sequence of disks such that Z ~ UnBn and cl B n ~ G for all n. According to the assumption, there is a negative subharmonic function Un on G such that un(a) > -00 and un(z) = -00 for z in ZnBn . Let {t3n} be a sequence of positive scalars such that Ln t3n u n(a) > -00 and put U = Ln t3n u n So assume that D = B(b; s) is an open disk with Z ~ D and cl D ~ G. Let r > s such that B(b; r) ~ G. Using Proposition 12.4 and Proposition 12.5, there is a subharmonic function w on C such that w(z) = -00 for all z in Z, w(a) > -00, and w(z) = 10g(lz - bl/r) for z not in B = B(b; r). Let 9 be the Green function for G and let h be the harmonic function on G such that g(z, b) = h(z) - log Iz - bl for all z in G. So on G \ B, w(z) = loglz - bj-Iogr = h(z) - g(z, b) -logr. Define u(z) = w(z) - h(z) + logr for z in G. So u is a subharmonic function on G and, for z in G \ cl B, u(z) = -g(z, b) :s; O. Since u is usc, this gives that u is bounded above on all of G. By Theorem 6.5 there is a polar set E contained in aooG such that for ( E aooG \ E, g(z, b) --t 0 as z --t (. Thus for all ( E aooG \ E, u(z) --t 0 as z --t (. By Theorem 8.2, u :s; 0 on G. Clearly u(a) > -00. 0 Now for a lemma about upper semicontinuous functions that could have been presented in §19.3 but has not been needed until now. This is the first of two lemmas that are needed for the proof of Theorem 12.9, the main result of this section.
12.7 Lemma. For an arbitrary family of functions {Ii : i E I} on a separable metric space X and L any subset of I, define h(x) = sup{li(x) : i E L}. There is a countable subset J of I such that if 9 is any upper semicontinuous function on X with g(x) ?:: h(x) for all x in X, then g(x) ?:: h(x) for all x in X.
21. Potential Theory
364
Proof. Before getting into the formal part of the proof, let's recall that an usc function is not allowed to assume the value 00; -00 is the only non-finite value it can take on. Thus the countable set J should be chosen so that, if there is a point x with hex) = 00, then hex) = 00. In this way
if there is a point where hex) = 00, there can be no usc function 9 with g(x) ~ fJ(x).
Let {Un} be a countable base for the topology of X and for each n ~ 1 let M n == sup{h(x) : x E Un}. If M n < 00, there is a point Xl in Un with h(Xl) + (2n)-1 > Mn . Thus there is an in in I with fi"(xd + (2n)-1 > h(Xl). Thus for every n with M n < 00, there is an in in I with .
sup
1
fdx) + - > Mnn
rEU"
If M n = 00, then an argument similar to the preceding one shows that there is an in in I with sup Ii.,(x) > n. xEU"
Let J = {il,i z , ...}. Suppose 9 is an usc function on X with 9 ~ f J. Fix an Xo in X and let E: > O. Note that if g(xo) = -00, there is nothing to verify; so assume that g(xo) is finite. From the definition of an usc function and the fact that l {Un} is a neighborhood base, there is an integer n with n- < E: such that g(x) < g(xo) + E: for all x in Un' Now if M n = 00,
g(xo)
=
[g(xo) - sup g(x)]
+ [sup
xEU"
g(x) - sup Ii" (x)]
xEU"
rEU"
+ sup
fi" (x)
rEU"
> -E: + 0 + n 1
> -E: +-. E: Since E: was arbitrary it must be that g(xo) = M n < 00 for all n. Therefore
g(xo) - sup hex)
-
[g(xo) - sup g(x)]
xEU"
XEU"
00,
an impossibility. Thus
+ [sup
g(x) - sup fi" (x)]
xEU"
rEU"
+[ sup fi" (x) - sup hex)] rEU"
1
E:
was arbitrary, g(xo) 2: fr(xo). 0
12.8 Lemma. If {/li : i E I} is a family of positive measures on an open
disk D having the following properties: (a) supp /-li ~ D for all i in I;
365
(b) for any i and j in I there is a k in I with G~k .::; min{G~,G~};
(c)
SUPi
/lieD) < 00;
then there is a positive measure /l supported on cl D such that G{: .::; infi G{? and G~ = infi G~i q.e.
Proof. For any measure /-l on D put G ~ = G~. According to Lemma 12.7 there is a countable subset J of I such that if 9 is a lsc function with 9 -::; inf} G~j == 'l/Jo, then 9 -::; inf i G~i == 'I/J. Write {/l} : j E J} as a sequence {/In}. By property (b) it can be assumed that G~" 2: G~"+l for all n :::: 1. By property (c) the sequence {/In} can be replaced by a subsequence, so that it can be assumed that there is a positive measure /l on cl D such that /In -> /l weak" in M(d D). By Exercise 4.6, for all z in D, G~(z) .::; liminfnG~,,(z) = limnG~Jz) = 'l/Jo(z). Since G~ is a lsc function, the choice of the subset J implies G~ -::; 'I/J -::; 'l/Jo. Let E = {z ED: G~(z) < 'l/Jo(z)}; so E is a Borel set. The proof will be complete if it can be shown that c(E) = O. Suppose it is not. Then there is a compact subset K of E with c(K) > O. By Proposition 7.14 there is a positive measure v on K such that Lv is continuous and finite-valued on C. But Theorem 4.5 implies that Gv(z) = Lv(z) - J L v «() dwf«()· Since Lv is continuous and disks are Dirichlet sets, Gv(z) -> a as z approaches any point of {) D. Thus defining GII(z) = a on {) D makes Gil a continuous function on cl D. Therefore J Gvd/ln -> J Gvd/-l. By Fatou's Lemma this implies J 'l/Jodv -::; limn J G~" dv = limn J Gvd/l n = J Gvd/l = J G~dv. Thus J(G~ - 'l/Jo)dv ~ O. But G~ - 'l/Jo < 0 on the support of v, so this is a contradiction and c(E) = O. 0 Recall from Proposition 19.4.6 that if U is a family of subharmonic func tions that is locally bounded above, v = supU, and u(z) = limsupw---+z v(w), then u is subhannonic. It was also shown there that if v is usc, then v = u. The question arises as to how badly can u and v differ. The next theorem answers this. 12.9 Theorem. If U is a set of subharmonic functions on an open set G that is locally bounded above, v( z) = sup U, and u( z) = lim sUPw->z v( w).
then u
=
v q.e.
rEU"
> -E: + 0 - n > -2E:. Since
21.12. The Refinement of a Subhannonic Function
Proof. First enlarge U to include the functions defined as the maximum of any finite subset of U and realize that this does not change the value of v and u. Let 1>0 E U and observe that replacing U by the collection of functions {1> EU : 1> :::: 1>0} does not change the value of v and u. So it can also be assumed that there is a function 1>0 in U such that 1> :::: 1>0 for all 1> in U. We first prove a special case of the theorem and then this will be used to prove the theorem in total generality.
~
'!!!!"
~
366
21. Potential Theory
Claim. If G = D, an open disk, and each function in U is negative, then there is a Borel subset E of D with c(E) = 0 and u = von D \ E. Let K be any closed disk contained in D and for each function ¢ in U form the refinement it. So on int K, Proposition 12.1 implies it = It = ¢. Thus v = sup{it : ¢ E U} on int K. By Proposition 12.2 for each ¢ in U there is a positive measure /l1> on K such that it = -Gp.q, on D. Since ¢1 V ¢2 E U whenever both ¢1 and ¢2 are, it follows that the family of measures {/l1> : ¢ E U} satisfies conditions (a) and (b) of the preceding lemma. Let B be a closed disk contained in D with K ~ int B and consider the refinement ii/. Once again there is a positive measure 7] on B such that li/ = -G1J on D. Thus G1J = _iJj1 = 1 on int B. Thus for any ¢ in U, /l1>(K) = f G1Jd/l1> = f Gp.q,dry = - f itdry ::; - f itod7] = f Gp.q,o dry = f GT/d/l1>o = /l1>o (K). Therefore Lemma 12.8 implies there is a positive measure /l supported on K with Gp. ::; Gp.q, on D and Gp.(z) = inf{Gp.q,(z) : ¢ E U} except for a Borel subset of D having capacity zero. (Actually, the lemma only gives that the support of /l lies in cl D, but, since each /l1> has its support in K, the proof of the lemma shows that sUPP/l ~ K.) It follows that on int K, -Gp. = u and sup{ -Gp.q,(z) : ¢ E U} = v(z) and there is a Borel subset E K of int K having zero capacity such that u = v on (intK) \ E K . But D can be written as the union of a sequence of such closed disks. Since the union of a countable number of polar sets is polar, this proves the claim. Now for the general case. Write G as the union of a sequence of open disks {D n } with cl D n ~ G. Since U is locally bounded above, for each n ~ 1 there is a constant M n such that every ¢ in U satisfies ¢ ::; M n on D n . If the claim is applied to the family U - M n = {¢ - M n : ¢ E U}, we get that there is a Borel set En contained in D n with c(En ) = 0 such that u = v on D n \ En. Taking E = UnEn proves the theorem. 0
12.10 Corollary. IfG is a hyperbolic open set, u is a negative subharmonic function, E is a subset of G, and Z = {z E G: IE(z) =I iE(z)}, then Z is a Borel set having capacity zero and Z ~ E. Proof. The fact that Z is a Borel set and c(Z) = 0 is immediate from the theorem. Now let a be any point in G \ E; it will be shown that a rf. Z. According to Proposition 12.6 there is a negative subharmonic function v on G such that v(z) = -00 for Z in Z n E and v(a) > -00. Thus for any c > 0, i E + cV ::; u on E. By definition this implies i E + f'V ::; IE on G. Since v(a) > -00 and c is arbitrary, this implies that i E(a) ::; a). Since IE ::; iE' this completes the proof. 0
lee
12.11 Corollary. IfG is a hyperbolic open set, u is a negative subharmonic
I..~-'
~~.
~
:=
-=-=
--~~~.~--
367
21.13. The Fine Topology
function on G, E ~ G, and Z is a polar subset of E, then
IE = i'E\z'
Proof. From Proposition 12.1 we know that i'E\z ~ i'E. Fix a in G \ Z and let w be any negative subharrnonic function on G such that w ::; u on E \ Z. According to Proposition 12.6 there is a negative subharmonic function v on G with v(z) = -00 for all z in Z and v(a) > -00. Therefore for any c > 0, W+cV ::; u on all of E. Using the preceding corollary, iE(a) = IE(a) ~ w(a) + cv(a) for all c > O. Letting c ----t 0 gives that i1!;(a) ~ w(a) for all a in G\Z. Since Z has area 0, this implies that whenever B(b; r) ~ G, 2 2 (11T )-1 fB(b;r) i1!;dA ~ (1l'r )-1 fB(b;r) w dA ~ w(a). By Proposition 19.4.9 this implies that i'E ~ won G. Therefore by definition of I'E\Z' i E ~ IE\Z. Taking lim sup's of both sides and using the observation at the beginning of the proof shows that i E = iE\z' 0
Exercises 1. Let G = JI» and E = {O} and define u(z) = log 14 Show that IE(z) = o for z in JI» \ {O} and lEeO) = -00. Hence i1!; == 0 so that i1!; =I IE on JI».
2. Show that there is a subharmonic function u on C that is finite-valued everywhere but not continuous. (Hint: Let Z be a non-closed polar set, let a E cl Z such that a rf. Z, and let u be a subharmonic function as in Proposition 12.5. Now massage u.) 3. Let G be a hyperbolic open set, let K be a compact subset of G, and let /l be the positive measure on K such that i1 = -Gp. (12.2). Show that /l(K) = sup {v(K) : v is a positive measure supported on K such that G", ::; 1 on G}. So /l is the "equilibrium measure" for the Green potential. See Helms [1975], p 138, and Brelot [1959], p 52, for more detail. 4. Let G be a hyperbolic open set and W a bounded open set with cl W ~ G. If u is a negative subharmonic function on G, show that on W, ic\w is the solution of the Dirichlet problem with boundary values u[a W.
§13
The Fine Topology
This section introduces the fine topology as a prelude to proving in the next section Wiener's Criterion for a point to be a regular point for the solution of the Dirichlet problem. This topology was introduced by the French school, which proved the basic properties of the topology and its
r
368
21. Potential Theory
connection with the regularity condition. See Brelot [1959] and the notes there as well as Helms [1975], both of which were used as a source for the preparation for this section and the next. 13.1 Definition. The fine topology is the smallest topology on iC that makes each subharmonic function continuous as a function from iC into [-00,00). This topology will be denoted by F.
,jilli ,II "II I,
1 111:
Note that the discrete topology is one that makes every function, includ ing the subharmonic ones, continuous. Since the intersection of a collection of topologies is a topology, the fine topology is well defined. When we refer to a set that belongs to F we will say that the set is finely open. Similarly, we will use expressions such as finely closed, finely continu ous, etc., when these expressions refer to topological phenomena relative to the fine topology. If a set is called "open" with no modifying adjective, this will refer to the usual topology on the plane. A similar convention applies to other topological terms. For convenience the usual topology on C will be denoted by U. It is not hard to see that if U is finely open, then so is a + aU for all a in iC and a > O.
_b._....~~:?'.&..o=:=-_~:~~~:-~:="=;:;=:'~
... "_.. - .~--"'=-'-~.~------
21.13. The Fine Topology
369
(c) We observe that {z :
Note that the last corollary shows that F is not the discrete topology. 13.4 Proposition. Polar sets have no fine limit points. Proof Let Z be a polar set. By replacing Z with Z\ {a}, it can be assumed that a t/:. Z. By Proposition 12.5 there is a subharmonic function
13.5 Corollary. All countable subsets of iC are finely closed and the finely compact sets are finite. Thus F is not a locally compact topology.
13.2 Proposition.
(a) The fine topology is strictly larger than the usual topology on the plane.
(b) If G is open and
(c) A base for the topology F consists of all sets of the form n
Wn n{z:
Proof· Since countable sets are polar, they have no fine limit points by the preceding proposition. Hence they contain all their fine limit points and thus must be finely closed. Since no sequence can have a limit point, finely compact sets must be finite. Now combine this with the fact that finely open sets are infinite and it is clear that the fine topology is not locally compact. 0
cd,
k==1
where W E U,
(d) The fine topology is a Hausdorff topology.
(a) To establish that U ~ F, we need only show that each open disk belongs to F. But the observation that for any a the function log Iz - a\ is subharmonic and B(a; r) = {z : log \z-a\ < log r} shows this. To show that this containment is proper, we need only exhibit a subharmonic function that is not continuous. (b) Suppose {Zi} is a net in G that converges finely to a in G. We need to show that
-=-
13.6 Corollary. Every subset of C is finely sequentially closed. In partic ular, the fine topology is not first countable.
13.7 Definition. A subset E of C is thick at a point a if a is a fine limit point of E. If E is not thick at a, say that E is thin at a. So polar sets are thin at every point. Also since U ~ F, if E is thick at a, a is a limit point (in the usual sense) of E. It is the notion of thickness that is the prime reason for discussing the fine topology. This can be seen by the following argument. Let K be a compact set and let G be the component of Coo \ K that contains 00. Suppose a E G and K is thick at a. If w is harmonic measure for G at 00, then there is a polar set Z contained in K such that for all Z in K \ z, Lw(z) = " the Robin constant for K. Since polar sets are thin at every point and K is thick at a, a topological argument shows that K \ Z is thick at a. Thus there is a net {Zi} in K \ Z such that Zi -+ a (F). But then Lw(Zi) ---* Lw(a) since superharmonic fUllctions are finely continuous; thus Lw(a) = , and by Proposition 10.8
a
_~_ gt.m;_~zz-.
Rfc2._F3T?
1 _"_.'
~_
__x
.~·JEE!'4
mm
,z;:;;
AC&U
21. Potential Theory
370
this implies that a is a regular point for G. So each point of 8 G at which K is thick is a regular point for G. The converse of this will be proved in Theorem 13.16 below. Here is a bit of notation that will be useful in this study. If E is a subset of G, ¢ is a function defined on G, and a is a limit point of E in the usual topology, define
E -lim sup ¢(z) = limsup{¢(z) : z
E
E, z
~
JJ1M,'£
_.f1.. a;;::~~M:~¥Jtjt4g:(@;~0"~~~~~=;:!:::;r.~··)+:'!"l."ii?";-;,&·:';"?H?0.,,\iiiii ..... -.."'~
21.13. The Fine Topology
371
Thus
¢(z)
=
¢k(Z) + L ¢j(z) j#k
< Ck + L[¢j(a) + e/n] j#k n-l < ¢k(a) - e + '"' ~ ¢j(a) + -e
a}.
j#k
z->a
Similarly, define E - lim inf and E - lim. It is perhaps worthwhile to re ~ind the reader here that the definition of the various limits does not use the value of the function at the limit point. Thus E - limsuPz->a(z) = limr->o[sup{ ¢(z) : z E E and 0 < Iz - al < r}] and E - limz->a ¢(z) = E-limsuPz->a ¢(z) = E-liminfz->a ¢(z) when these two last limits agree.
13.8 Theorem. If E is any non-empty subset of C and a is a limit point of E, then following are equivalent.
n
¢(a) - e/n. Hence E -limsuPz-.a ¢(z) :::; ¢(a) - e/n < ¢(a). If -00 < a: < ¢(a) and ¢ is replaced by max{¢,a:}, all the conditions in (c) are met. (c) implies (d). Let ¢ be as in part (b) and put D = B(a; r) with r < 1/2. By Theorem 19.5.6 there is a positive measure f.L on D and a harmonic function h on D such that ¢ID = h - LIJ.' Since h is continuous at a,
-Lp(a) =
¢(a) - h(a)
> E -lim sup ¢(z) - h(a)
(a) The set E is thin at a.
z->a
(b) For every r > 0, En B(a; r) is thin at a. (c) There is a subharmonic function ¢ defined on C such that ¢( a) > E -limsuPz->a ¢(z) > -00. (d) For any r > 0 there is a positive measure f.L supported on B(a; r) such that LIJ.(a) < E - lim infz->a LI-'(z) < 00.
(e) There is a subharmonic function ¢ defined on C such that ¢( a) > E -limz->a ¢(z) = -00.
(f) For any r > 0 there is a positive measure f.L supported on B(a; r) such that LI-'(a) < E -limz-.a LIJ.(z) = 00. Proof. First, let's agree that (a) and (b) are equivalent by virtue of basic topology and the fact that B(a; r) E F for all r > O. Also observe that it suffices to assume that a 1- E. (a) implies (c). Assume that E is thin at a. So there is a set U in F such that a E U and UnE = 0. From Proposition 13.2 there is a neighborhood W of a, subharmonic functions ¢1, ... , ¢n on C, and finite constants C1, ... , Cn such that
E -limsup(-LIJ.(z)) z->a
>
-00
and (d) follows. (d) implies (e). Let D = B(a; 1/2); so LIJ. 2 0 on D. Put C = E limsuPz->a[- Lp(z)] < -LIJ.(a). Let {en} be a sequence of positive numbers such that en < 1/2 and en ~ 0 monotonically; let D n = B(a; en) and f.Ln = f.LID n . Since LIJ.(a) is finite, f.L does not have an atom at a. By the Monotone Convergence Theorem, LIJ.Ja) ~ O. Replacing {en} by a subsequence if necessary, we can assume that 2:n LlJ.n (a) < 00. If ¢ = - 2:n LlJ.n' then ¢ is subharmonic on C and ¢(a) > -00. If hn = LlJ.n - LIJ. = -L(IJ.-lJ.n)' then hn is harmonic on D n ; so hn(z) ~ h,,(a) as z ~ a. If 0 < 8 < 1/2 and Eo = {z E E: 0 < Iz - al < 8}, then
sup{-LI-'n(z): Z E Eo}:::; sup{-LIJ.(z): Z E Ed +sup{-h,,(z): Z E Eo}. Thus
E -lim sup{ -LlJ.n (z)}
:::;
n
C - LlJ.n (a)
{z: ¢k(Z) > cd ~ U.
+ LIJ.(a)
:::;
C+LIJ.(a) < O.
k=l
Choose e > 0 such that ¢k (a) - e > Ck for 1 :::; k :::; n and set ¢ = ¢1 + ... + ¢n' Since each ¢k is usc, there is an r > 0 such that B = B(a; r) ~ Wand ¢k(Z) < ¢k(a) +e/n for all z in B. But a is a limit point of E so B n E ;F 0; if z E B n E, then z 1- U and so there is a k, 1 :::; k :::; n, with ¢k(Z) :::; Ck'
C - h,,(a)
z->a
n
aEW n
__ 4.}~~'~~~7~~i.~~
So for any m 2 1, m
E -limsup L z----ta
n=l
[-LlJ.n(z)] :::; m[C + LIJ.(a)].
372
21. Potential Theory
00
L
E -lim sup
z->a
[-L/Ln (z)J
(a) E is thin at a.
n=l
z---.a
(b) There is a negative subharmonic function ¢ on G that is also bounded below and satisfies ¢(a) > E -limsuPz-.a ¢(z).
m
< E -limsup z-:,a
L
[-L/Ln(z)J
n=l
(c) There is a negative subharmonic function ¢ defined on G such that
< m[C + L/L(a)J
¢(a) > E -limz->a ¢(z)
for all m 2: 1. Hence E - limz->a ¢(z) = -00 < ¢(a). (e) implies (f):This is like the proof that (c) implies (d). (f) implies (a). Suppose J1 is as in (f). If E were thick at a, then there would exist a net {z;} in E such that Zi ----> a in the fine topology. Since L/L is F-continuous, L/L(Zi) ----> L/L(a). But this is a contradiction since L/L(a) < 00 and L/L(Zi) ----> 00. 0 There are other statements equivalent to those in the preceding theorem that involve capacity; for example, see Meyers [1975].
13.9 Corollary. If E is a Borel set and
· 10B(a:r)nEI 0 11m > , r
r->O
where the absolute value signs denote arc length measure on the circle oB(a;r), then E is thick at a. Proof. Suppose E is thin at a. By the preceding theorem there is a sub harmonic function ¢ defined on C such that ¢(a) > E-limz->a ¢(z) = -00. Since ¢ is usc, there is a constant M such that M 2: ¢(z) for Iz - al ::; 1. Replacing ¢ by ¢ - M, it can be assumed that ¢(z) ::; 0 for Iz - al ::; 1. Thus for r < 1 and .6. r = {O : a + re iO E E},
1
211"
0
¢(a + re iO ) dO
2~
Lr
¢(a + re
2
-00
< ¢(a) < <
-1
71"
iO )
dO
< [measure(.6. r ) ] sup 'I-'A.( a + re iO) 211"
<
10 B(a; r) n EI 211" r
373
13.10 Proposition. If G is a hyperbolic open set, E ~ G, and a is a limit point of E that belongs to G, then the following are equivalent.
Therefore E -limsup¢(z)
21.13. The Fine Topology
OEtl. r
sup
¢(z).
zEo B(a;r)
But sup{¢(z) : z E oB(a;r)} ----> -00 as r ----> O. Therefore [oB(a;r) EI/r ----> 0 as r ----> 0, contradicting the assumption. 0
n
If the set E is contained in a hyperbolic open set, then the equivalent formulation of thinness can be improved.
=
-00.
Proof· (a) implies (b). Let D = B(a; s) be chosen such that cl D ~ G. By Theorem 13.8 it can be assumed that E ~ D and there is a subharmonic function ¢l on C such that ¢l (a) > E -lim sUPz-.a ¢l (z). Let B r = B(a; r) be chosen with r > s such that cl B r <; G. By Proposition 12.4 there is a subharmonic function ¢2 on C with ¢2 = ¢l on D and ¢2(Z) = 10g(lz-al/r) for Iz - al > r. Let 9 be the Green function for G and let h be the harmonic function on G such that g(z, a) = h(z) - log Iz - al for z in G. Define ¢3 : G ----> [-00, (0) by ¢3(Z) = ¢2(Z) - h(z) + log r. So ¢3 is subharmonic on G. For z in G \ cl B r , ¢3(Z) = -g(z, a) ::; O. Since ¢3 is usc, there is a constant M with ¢3 ::; M on cl B r . Let ¢4 = ¢3 - M. So ¢4 is a negative subharmonic function on G and it is easy to check that since ¢2 = ¢1 on D, E -limsuPz-.a ¢4(Z) < ¢4(a). Now let ¢ = max{¢4, ¢4(a) -I} and the proof is complete. (b) implies (c). The proof of this is similar to the corresponding proof in Theorem 13.8 and will not be given. (c) implies (a). Since subharmonic functions are finely continuous, a can not be a fine limit point of E. 0 13.11 Definition. If G is any set and u is an extended real-valued function defined on G, say that u peaks at a point a in G if for every neighborhood V of a, u(a) > sup{u(z) : z E G \ V}. Note that if u peaks at a, then u attains its maximum value on G at the point a. This alone, however, will not guarantee that u peaks at a. The object here will be to find superharmonic functions on an open set G that peak at certain points. (Actually, sticking with the fixation of this book on subharmonic functions, we will be concerned with finding subharmonic functions u such that -u peaks at a.) If G is a hyperbolic open set and a E G, then the Green function 9 is a function such that ga peaks at a, ga 2: 0, and ga is superharmonic. The next example will be used later.
13.12 Example. If R > 0 and J1 is the restriction of area measure to B(a; R), then L/L peaks at a. In fact, according to Exercise 3.6, L/L(z) = 2 1I"R log Iz - al- l if Iz - al 2: Rand L/L(z) = 1I"R2 [logR- l + 1/2J -1I"Iz
~
.....-
....-..._""..,;-"","'.~~~~"""''''''''~
r~
21. Potential Theory
374
al Z/2 = LJL(a) - 7rlz - al z/2 for Iz - al :s; R. It is left to the reader to show that sup{LJL(z) : Iz - al > r} < LJL(a) for any r > O. The first task is to relate peaking with thinness.
13.13 Proposition. Let G be a hyperbolic open set, let a E G, and suppose u is a negative subharmonic function on G such that -u peaks at a. If E is a subset of G, then E is thin at a if and only if iE(a) > u(a).
Proof. Since i E = iE\{a} (12.11), we may assume, without loss of gener ality, that a
Wt(z) < u(a). Now u peaks at a so there is a constant C > 0 with u(z) - u(a) ~ C for all z in G \ D. Because ¢ is a bounded function, the parameter t can be chosen so small that tl¢(z) - MI ~ C for all z in G. Thus for z in G \ D, t[¢(z) - M] :s; C ~ u(z) -u(a). Therefore Wt (z) = u(a) +t[¢(z) - M] :s; u(z) for all z in G \ D. On the other hand, for z in D n E, Wt(z) < u(a) ::; u(z) since -u peaks at a. Thus Wt :::; u on E and so Wt ::; IE' But Wt(a) = u(a) + t[¢(a) - M) > u(a), proving the proposition. 0 The next result is often called the Fundamental Theorem for thinness. (It is probably best here to avoid the variety of possible minor jokes that such a title affords.)
13.14 Theorem. If E is any set and Z = {a E E: E is thin at E}, then
Z is a polar set.
'-'··--'""'f~'·'-·_~_~!'!.>!":!~~'·O='~'~O'~~-:·,~-="
.
21.13. The Fine Topology
375
Proof. Cover E by a sequence of open disks {D n } each having radius less than 1/2 and let Zn = Z n D n . Clearly Z = UnZn and if each Zn is shown to be a polar set, then so is Z. Thus it can be assumed that E ~ D, an open disk of radius < 1/2. Let I" be the restriction of area measure to D and put u = -LJL' So u is a negative subharmonic function on D. If a E Z, let r > 0 such that B(a;r) ~ D, put 1"1 = /lIB(a;r) and /lz = /l1[D \ B(a;r)], and let Uj = -LJLj' j = 1,2. Clearly u = Ul + Uz and both Ul and Uz are negative subharmonic functions on D. By (13.12) -U1 peaks at a and so by the preceding proposition j~/ (a) > u(a). Thus ij!;(a) ~ i;;' (a) + i;;2(a) > u(a) = IE(a), since a E E. Thus Z ~ {z : i]E(a) > Ij!;(a)} and this is a polar set by Corollary 12.10. 0 13.15 Corollary. A set Z is polar if and only if it is thin at each of its
points. Proof. The proof of one direction of the corollary is immediate from the theorem. The proof of the other direction was already done in (13.4). 0 In Theorem 13.14 let us emphasize that the polar set Z is contained in E. Clearly the set of all points at which E is thin is not polar since it is thin at each point of C \ cl E. But not even the set of points in cl E at which E is thin is necessarily a polar set. For example, if E is the set of all points in C with rational real and imaginary points, then E is countable and hence polar and hence thin at every point.
13.16 Theorem. If G is a hyperbolic open set and a E 800 G, then a is a regular point of G if and only if Coo \ G is thick at a.
Proof. Put E = Coo \ G. If E is thick at a, the argument given just after the definition of thickness shows that a is a regular point for G. For the converse, assume that a is a regular point of G. By (19.10.1) there is a non-constant negative subharmonic function u on D \ E = G(a; r) such that (D \ E) - limz-o a u(z) = O. Also assume that E is thin at a and let's work toward a contradiction. According to Proposition 13.10 there is a bounded subharmonic function ¢ on D such that ¢(a) > E _ limsuPz_a ¢(z). By changing scale it may be assumed that ¢(a) = 1 and E - limsuPz_a ¢(z) < -1. Choose b, 0 < b < 1, so that D 1 = B(a; 8) satisfies cl D 1 ~ D and ¢(z) :::; -1 for all z in (cl DI) n (E \ {a}). The contradiction to the assumption that E is thin at a will be obtained by showing that there is a positive scalar t such that ¢ ::; -t u on D 1 \ E. Indeed once this is shown it follows that (D 1 \ E) - lim sUPz-oa ¢( z) ::; (D 1 \ E) -limsuPz-oa[-t u(z)] = O. But E -limsuPz->a ¢(z) < -1, so we get that 1 = ¢(a) = limsuPz-oa ¢(z) ::; 0, a contradiction. It will be shown that there is a positive scalar t such that for any e > 0 13.17
(D 1
\
E) -limsup(-oz[¢()
+ t u(() + clog I( - alJ
~0
..."
21. Potential Theory
316
for all z in 8 (D 1 \ E) = (8 D 1 \ E) u (8 En cl DI). If this is shown to hold, then the Maximum Principle implies that, for every E: > 0, c/J + t 71, + E: log Iz -- 0,1 ::; 0 on D 1 \ E. Letting E: --+ 0 shows that c/J -s; -t 71" as desired. From the properties of c/J there is an open set W containing 8 D 1 n E such that c/J < 0 on W. Thus no matter how the positive number t is chosen, (13.17) holds for all z in W n (8 D 1 \ E). Also c/J is bounded and 71, is negative and usc, so t > 0 can be chosen with c/J + t u < 0 on 8 D 1 \ W; fix this choice of t. Combining this with the preceding observation shows that (13.17) holds for all z in 8 D 1 \ E. If z E 8 En cl D 1 and z -I- a, then c/J(z) -s; -1 and so c/J(() < 0 in a neighborhood of z. Thus (D 1 \ E) limsup(---+z[c/J(() + t u(() + dog I( - 0,1] -s; dog I·;; - al -s; dog8 < 0, so (13.17) holds for z in 8 En cl D 1 and z -I- o,. If z = a, then (13.17) also holds, since the left hand side is -00. 0
_ ..
=-..
=·=,o,,"_"-:oC·
~.~--_
21.14. Wiener's Criterion
377
have seen that this is the case when E is compact (Corollary 7.16). The reader interested in this fact can see Carleson [1967]. 14.2 Wiener's Criterion. Let E be a set, a E C, and 0 < 1 < 1/2; for each n ~ 1, let En = En {z : An+! -s; Iz - 0,1 -s; An}. The set E is thick at a if and only if 00
14.3
L
n" =
First a few observations and corollaries. Note that the condition (14.3) is equivalent to 00
Remarks. The fine topology is f1111y studied in the literature. In addi tion to Brelot [1959] and Helms [1975], cited in the introduction of this section, the following sources are useful: Hedberg [1972b], Hedberg [1993], and Landkof [1972].
Exercises
f : C --+ C is a mapping such that If(z) - f(w)1 ::; Iz - wi and If(a) - f(z)1 = 10, - zl for all z,w in C. Show that f(E) is thin at a.
1. Suppose the set E is thin at a and
2. Is there a set E such that both E and It \ E are thin at a?
§14
Wiener's Criterion for Regular Points
In this section Wiener's Criterion for the regularity of a boundary point will be stated and proved. This statement is in terms of logarithmic capacity. 14.1 Definition. For any subset E in C, define the outer capacity of E as the number
c* (E)
= inf{c( U)
00.
n=l
n
L n=l
14.4
v*(E n ) =
00.
The reason for the restriction A < 1/2 is to guarantee that diam En < 1 for all n ~ 1 and thus that c*(En ) < 1 for all n. Thus the series does not diverge by virtue of having OIle of its terms equal to 00. This also assures that each term in the series is positive. To dispose of the trivialities, observe that a is not a limit point if and only if En = 0 for all n larger than some no. In this case c*(En ) = 0 for n ~ no and the series in (14.3) is convergent. The same holds of course if En is polar for all large n. Originally Wiener stated his criterion as a necessary and sufficient con dition for a point to be a regular point for the solution of the Dirichlet problem. The following corollary is immediate from Wiener's Criterion and Theorem 13.16. All the corollaries below will be stated for finite boundary points of the hyperbolic open set C. The condition for the regularity of the point at 00 is obtained by inversion. 14.5 Corollary. If C is a hyperbolic open set, a E 8C, 0 < 1 < 1/2, and K n = {z E C \ C : An+l -s; jz - 0,1 -s; An}, then a is a regular point if and only if 00
L'
n=l
r
I
~T
,
"
= 00.
: U is open and contains E}.
14.6 Corollary. With the notation of the preceding corollary, if fln is the equilibrium measure for K n , then a is a regular point of G if and only if
It is clear that
c*(E) = exp( --v*(E)),
where v*(E) = sup{v(U) : U is open and contains E}.
It is a standard fact about capacities that c* (E) = c(E) for a collection of sets that includes the Borel sets. This is not proved in this book, but we
~
Lp.n (a) = 6 10g[c(Kn ) 1] n=l
00.
Proof. Put Vn = 10g[c(Kn )-1]. For z in K n , An+ 1 ::; Iz - a/ -s; An and so n ::; [log A-I] -1 log Iz - 0,1- 1 ::; n + 1. Hence n -s; [log A-1]-1 L/1 "(a) -s; n + 1
!
IIPL!IL !!IE
&J2!!IllIP
L!
.!!I!!!£
l!!l!i&
378
LiZ.!!!
21. Potential Theory
and so the two series Ln n/vn and L n LI-''' (a)/V n simultaneously converge or diverge. 0 Now observe that the function x log X-I is increasing for 0 < x < e- 1 . Adopting the notation of the preceding corollary, K n <:;;; An == {z : An+ 1 :::; Iz - al :::; An} and so c(Kn ) :::; c(A n ) = An (10.6). So if Cn = c(Kn ), we have that Cn log C~1 :::; An log A-n = nAn log A-I. Thus the following corollary follows from Corollary 14.5.
!niiitZ.lmt~£
.j'~j~jliL"',"-~~L!Illil!'n_ ~,"
~~=_
m
21.14. Wiener's Criterion
I$~
,_ _........~
379
So L'7(O) :::; 'ljJ(0) :::; 2L'7(0). Now L/1-n = Vn q.e. on K n and hence 'f}(Kn ) = v~1 f K " LJ-Lnd'f} = v~1 J~n 'ljJndJ.Ln' But L'7 = 1 q.e. on E r and log jz-wl- 1 ?: 0 on E r , so for J.Ln almost all Z in K n,1 = L'7(z) = fEr log Iz - wl- 1d'f}(w) ?: 'ljJn(z). Therefore
'f}(Kn ) :::; V;;-1 for all n and so
14.7 Corollary. -With the notation of Corollary 14.5, if L n c(Kn)/A n = then a is a regular point of G.
1+
'ljJn(O)
00,
10glzl-ld'f}(z)
Kn
< (n
14.8 Corollary. If G is a hyperbolic open set, a E aG, and, for r > 0, c(r) == c((C \ G) n B(a; r)) and
l)(log A-I )'f}(Kn )
n+-1 n < v;;-1 n
-1
logA
1
< 2V;;-1 L/1-" (0).
logr > 0, lim sUPr->O log c( r)-1
Combining this with previous inequalities we get
then a is a regular point of G. L'7(O)
Assume that a = 0 and put E r = (C \ G) n B(a; r) and v(r) = 10gc(r)-I. Fix A, 0 < A < 1/2, and let {Kn } and {J.Ln} be as in Corollary 14.6 above. Put Vn = 10gc(Kn )-\ so L/1-n = V~1 q.e. on K n . Suppose a is not a regular point of G and let E > 0; it will be shown that the lim sup in this corollary is less than this arbitrary E. According to Corollary 14.6, L n LJ-LJa)/vn < 00. Thus there is an integer N such that
Proof.
:::;
'ljJ(0) 00
L'ljJn(O) n=m
< 2
<
f
LJ-L,,(O) n=m Vn
E.
00
L LI-'''(O) < ~ n=m Vn 2
But basic inequalities show that L'7(O) ?: v(r)-110gr -l and so we have that v(r)-110gr -l 0 as r O. 0
for all m ?: N. Fix r < AN and let m be such that Am+! < r :::; Am. Let 'f} be the positive measure supported on E r such that L'7 = 1 q.e. on E r and 'f}(Er ) = v(r)-I. For each n let 'ljJn(w) = f K loglz - wl- 1d'f}(z) and 'ljJ = L~=m 'ljJn. Note that with B n = (C \ G) n {z"; An+! :::; Izi < An}
'ljJ(0)
f1
1
1
flog Izl- d'f}(z)
f 1 + f
n=m+l L'7(O)
Kn
n=m+l
f
flog Izl- 1d'f}(z)
n=m+l
K Tn
+
+
then a is a regular point.
Proof. According to Proposition 7.8, en == c(Kn ) ?: [K n /7rep / 2. Since K n <:;;; B(a; An) we also have that K n :::; 7rA 2n . Hence
+
C
n ,;:;rv:;re An'
Thus a is a regular point by Corollary 14.7. 0
Bn
1
log Izl- d'f}(z) \B"
f l O g Izj- 1d'f}(z). K,,\B n
00,
. r,;;n An ~ An :::; AK2n -- yK;;
log Izl- d'f}(z)
Kn
n=m
14.9 Corollary. With the notation of Corollary 14.5, if K n = Area(Kn )
and L n K n/A 2n =
Now to begin the proof of Wiener's Criterion.
14.10 Lemma. If U is a bounded open set, then there is a positive measure J.L supported on aU such that J.L(aU) = 1/v(U) and LJ-L = 1 on U.
Proof. Write U as the union of a sequence of compact sets {Kn } with K n <:;;; intKn +1 · So c(Kn) Tc(U) and Vn = v(Kn ) 1 v(U) = v. Let V n be the
_
-,,;;
380
equilibrium measure for K n and put f.Ln = V;l lIn . Now IIf.Lnll = f.Ln(U) = v;I $ V-I < 00. So {f.Ln} is a uniformly bounded sequence of positive measures in M(cl U); by passing to a subsequence if needed, it can be assumed that there is a positive measure f.L on cl U such that f.Ln ~ f.L weak* . Because supp f.Ln ~ {) K n , supp f.L ~ au. Also v;1 = f.Ln(cl U) = 1df.Ln ~ f.L( cl U); thus f.L(au) = V-I. Finally, fix a z in U and pick m with z in int K m · By (10.1) L"n (z) = 1 for all n .:::=: m. But it is easy to use Tiezte's Extension Theorem to show that f.Ln ~ /1 weak* in M(cl U\int K m ). Since w --+ log Iz - wl- 1 is continuous there, L"n (z) ~ L,.(z). D
J
14.11 Lemma. If 0 < A < 1/2, there is a constant C = C(A) such that for n .:::=: 1, if An+1 $ Izi $ An and w satisfies either Iwl $ An+2 or An- 1 $ Iwl $ 1/2, then log Iz - wl- 1 $ Clog jwl- 1. Proof. Put L = A-I and draw circles centered at 0 with radii An+2 , An+ I , An, and An-I; fix z with An+! $ [z[ $ An. First, suppose Iwl $ An+2 and examine the picture to see that /w-zl':::=: An+!_A n+2 = An+2 (L-1). Thus Iw - zl-1 $ Ln+2(L _1)-1 $ Iwl- 1(L _1)-1. Thus
< 1 + 10g(L - 1)-1
log Iwl- I
< <
1 + 10g(L - 1)-1
1+
(n + 2)logL
10g(L - 1)-1
210gL
Now suppose An - 1 $ Iwl $ 1/2. Another examination of the picture shows that Iw - zl .:::=: An- I - An = An - I (l_.\) and so Iw - zl-1 $ Ln-I(l_ .\)-1 $lwl- 1(1 - .\)-1. Thus log Iw - zl-1 log !wl- 1
<
1 + 10g(1 - A)-1
log !wl- 1
<
1 + 10g(1 - .\)-1
log 2
~----------
381
21.14. Wiener's Criterion
21. Potential Theory
log Iw - Zl-I log /wl- 1
---
II
=
an open set Un that contains En such that cl Un n {z : Izl $ An+2 } = (/) and
l
111
- - - < - - < - - - +cn· v*(En ) - v(Un )
By Lemma 14.10 for each n there is a positive measure f.Ln supported on aUn with f.Ln(aUn ) = v(Un )-1 and L,.Jz) = 1 for all z in Un' For each n define the subharmonic function cPn = - EC:=n L,.k· Note that cPn is negative on ~JI)l. Note that for any k
1 and z in a Uk, Izi
.:::=:
l au
in the discussion following the statement of (14.2), it can be assumed that v*(En ) > 0 for all n. We will prove the contrapositive of (14.2). Assume that the series (14.3) converges and choose an arbitrary sequence of positive numbers {cn} such that En nCn < 00. Now for each n choose
.:::=:
Ak+2 and so
10glzl- ld f.Ldz)
= [
L,.k(O)
k
< (log.\-(k+2))f.Lk(aUk )
[V*(~k) +Ck].
< (k + 2) log A-I
Since both E k k/v*(Ek) and E k kCk converge, this implies there is an n such that cPn(O) > -1; fix this value of n. If k .:::=: nand z E E k , which is contained in Uk, then L,.k (z) = 1. Since each L,.k is non-negative on E, this shows that cPn $ -Ion 00
UE
k
= En
{z : 0 <
Izi $
.\n}.
k=n Hence E -limsuPz~ocPn(z) $ -1 < cPn(O). By (13.10), E is thin at O. Now suppose that E is thin at 0; it can be assumed that 0 is a limit point of E. So (13.8) there is a positive measure f.L with compact support contained in ~][JJ such that L,.(O) < E - limz~o L,.(z) = +00. Put an = inf{L,.(z) : z E En}; so an --+ 00. Let b be an arbitrary positive number; since L,. is lsc, {z : L,.(z) > an - 8} is an open set containing En. Put Un = {z : L,.(z) > an - 8} n {z : An+1 $ Izi $ An}. So Un is a Borel set that contains En; it suffices to show that En n/v(Un ) < 00. Let {cn} be a sequence of positive numbers such that En nCn < 00 and for each n choose a compact subset K n of Un such that v(Kn )-1 > V(Un )-1 - Cn' It is therefore sufficient to show that
o
Proof of Wiener's Criterion. By translation it can be assumed that the point a = O. Also recall (13.8) that a set E is thick at 0 if and only if for every l' > 0, E n r][JJ is thick at O. Thus in this proof it suffices to assume that E ~ 4lIJJ. Thus log Iz - Wi-I> 0 for all z, w in E. As pointed out
v*(En )
00
;
V(;n) <
00.
Breaking this sum into 6 separate sums, we see that it suffices to show that
~ 6n+j L..J ---=-- < 00 n=1 v(K6n +i ) for j = 0,1, ... ,5. This will be shown for j = O. (By only considering the series consisting of every sixth term, this will separate the sets K 6n +i
Imii"1lI1ll1" _UIITW-
_"~-IIIllI!IiII~·f!rir~_._lIl'1!_~ifllrlll_~1
382
21. Potential Theory
21.14. Wiener's Criterion
1 clog \ - 1 Ly(O)
sufficiently that estimates such as in Lemma 14.11 can be applied.) Note that K 6n .;::; U6n .;::; An == {z : ,\6n+2 < Izi < ,\6n-l}.
n An = 0 for
Claim. K 6k
k
-::j:.
o
To see this, first assume that k > n; so k = n + p, p ~ 1. Thus ,\ 6k = < ,\6n+2 and so K 6k n An = 0. Now assume that k < nj so k = n - p, p ~ 1. Thus ,\6k+l = ,\6n-6p+l > ,\6n-l. This proves the claim. In particular, the sets {K6n } are pairwise disjoint. Now K = {O} U Un K 6n is a compact subset of ~lIJ) and u = -L Il is a negative subharmonic function there. If ¢ = i'K, then Proposition 12.2 says there is a positive measure v supported on K such that ¢ = -G y = - L y + h for some harmonic function h on ~lIJ). Because -00 < u(O) ~ ¢(O) and h is harmonic, Ly(O) < 00. Thus v( {O}) = O. Write
Ly(z) =
r J
log Iz - wl- dv(w) 1
K6n
+
1
log Iz
-
wl- 1dv(w).
Uk,tn K 6k
According to Lemma 14.11 there is a constant C depending only on ,\ such that for z in K 6n and w in Uk,tnK6k , loglw - ZI-1 ~ Cloglwl- 1 . Thus for all z in K 6n ,
1
1
log Iz - wl- dv(w) :S C1lvll·
Uk,tn K
6k
Thus 14.12
Ly(z)
~ Cllvll +
1
log Iz
-
wl- 1dv(w).
K 6n
By (12.10) there is a polar set Z contained in K such that - L y + h = ¢ = u = -L Il on K \ Z. Let Ihl :S M on K. Therefore on K n \ Z, L y = -¢+ h = LIl +h ~ Q n - D- M and so (K\ Z) -limz....... oLy(z) = 00. So if C 1 is any number with C 1 - C1lvll ~ c > 0, there is an integer m such that Ly(z) ~ CIon [Un2:mK6n] \ Z. Hence if n ~ m and z E K 6n , (14.12) implies
JKr6n log Iz - wl- dv(w) ~ Ly(z) 1
Cllvll
~ C.
Thus v(K6n )-1 :S c- 1v(K6n ) by Theorem 10.2. But for z in K 6n , ,\6n+l :S Izi :S ,\6n, so that 6n log'\ -1 :S log Izl- 1 :S (6n + 1) log,\ -1. Therefore
L 00
00
.6n
< c- 1
n=1
L 6n v(K6n )
n=1
L1 n=1 00
<
<
n.
,\6n+6p
.1,\-1 g
K 6n
1
log Iz l- dv(z)
383
00.
!55t±.~ "S~..:.t:ti..:::::::
&~~~;,..
-:--= __ :_
F3iFiiF'~~ ~:. --:-,.:-.
.==: ri·
";;U::~::"'_·-, _
~_~~~,~ .. ~=:;..-.;: ..;~~.:. ..... _~.
".;''::~:':;:.::'"';':;'-'
References*
Abikoff, W. [1981], The uniJormization theorem, Amer Math Monthly 88, 574-592. (123, 129) Adams, RA. [1975], Sobolev Spaces, Academic Press, New York. (259) Aharonov, D. [1984], The De Branges Theorem on Univalent Functions, Technion, Haifa. (156)
::R=''';''''';':::;~::,'~:'''::::':':-::::~::=:~:~:~::':-::;;:::.:'::-,,;;;.
i>
r ..
References
,c._,,.,,",,
n~.::!!'7',
~,:,':::. ~-;j<;'::';::;:.:::.<;~ . :;;~~. ,,~::;";';~:%"'"
,_ C<w.':·~·"'.· .. ,,,Wi',,,,,,=~.~;;o\,,,"-_.c ·.o",.:~" ..· ,.••• ~ ....;...-~'. ··~'~'_~4~''"'_~'d_
385
Beurling, A. [1949], On two problems concerning linear transformations in Hilbert space, Acta Math 81, 239-255. (290) de Branges, L. [1985], A proof of the Bieberbach conjecture, Acta Math 154, 137-152. (64, 132) Brelot, M. [1959], Elements de la theorie classique du potential, Centre de Documentation Universitaire, Paris. (234, 301, 364, 367, 376)
Brennan, J.E. [1977], Approximation in the mean by polynomials on non CarathCdory domains, Ark Math 15, 117-168. (173)
Ahlfors, L.V. [1973], Conformal Invariants, McGraw-Hill, New York. (123)
Carleson, L. [1962], Interpolation by bounded analytic functions and the rorona problem, Ann Math (2) 76, 547-559. (295)
Ahlfors, L.V., and A. Beurling [1950], Conformal invariants and function theoretic null sets, Acta Math 83, 101-129. (193)
Carleson, 1. [1966], On the convergence and growth of partial sums of Fourier series, Acta Math 116, 135-157. (199)
Aleman, A., S. Richter, and W.T. Ross, Bergman spaces on disconnected
domain'S, (preprint). (263,351)
Carleson, L. [1967], Selected Problem,s on Exceptional Sets, Van Nostrand, Princeton. (234, 301, 333, 334, 344, 351, 377)
Askey, R, and G. Gasper [1976], Positive Jacobi polynomial sums, Amer J
Math 98, 709-737. (156, 157)
Choquet, G. [1955], Theory of capacities, Ann lnst Fourier 5, 131-295. (234, 333)
Axler, S. [1986], Harmonic functions from a complex analysis viewpoint,
Amer Math Monthly 93, 246-258. (74)
Cima, J., and Matheson [1985], Approximation in the mean by polynomials, Rocky Mountain J Math 15, 729-738. (173)
Axler, S., J.B. Conway, and G. McDonald [1982], Toeplitz operators on
Bergman spaces, Canadian Math J 34, 466-483. (351)
Collingwood, E.F., and A.J. Lohwater [1966], The Theory of Cluster Sets, Cambridge University Press, Camhridge. (44)
Baernstein, A., et ai, The Bieberbach Conjecture, Amer Math Soc, Provi
dence. (133)
Conway, J.B. [1986], Functions of One Complex Variable, Springer-Verlag, New York.
Bagby, T. [1972], Quasi topologies and rational approximation, J Funct
Analysis 10, 259-268. (173, 263)
Conway, J.B. [1973], A complete Boolean algebra oj subspaces which is not reflexive, Bull Amer Math Soc 79, 720-722. (295)
Bell, S.R, and S.G. Krantz [1987], Smoothness to the boundary of conformal maps, Rocky Mountain J Math 17, 23-40. (55)
Conway, J.B. [1990], A Course in Functional Analysis, Springer-Verlag, New York. (169, 174, 185)
Bergman, S. [1947], Sur les fonctions orthogonales de plusiers variables
complexes avec les applications Ii la theorie des fonctions analytiques, Gauthier Villars, Paris. (169)
Conway, J.B. [1991], The Theory of Subnormal Operators, Amer Math Soc Surveys 36, Providence. (197, 290, 293, 333, 354)
Bergman, S. [1950], The kernel function and conformal mapping, Math Surveys V, Amer Math Soc, Providence. (169) Bers, L. [1965], An approximation theorem, J Analyse Math 14, 1-4. (173) Beurling, A. [1939], Ensembles exceptionnels, Acta Math 72, 1-13. (334)
'The numbers following each reference indicate the page on which the reference is cited.
Duren, P.L. [1970], Theory of HP Spaces, Academic Press, New York. (269, 291) Evans, L.C., and RF. Gariepy [1992], Measure Theory and Fine Properties of Functions, CRC Press, Boca Raton. (259)
Farrell, O.J. [1934], On approximation to an analytic function by polyno mials, Bull Amer Math Soc 40, 908-914. (172) Fisher, S.D. [1983], Function Theory on Planar Domains, Wiley, New York. (129)
""~_"" __ "-~~3l3t~gz-
","IIf,"
"~~A
_."""A .-- ,'",. #_"_,"E
.Cc
""'"-'-'-"";:fe~:::;~~c-'"'ij~?~"'~?C¥-::;:::::es-~''''"'''"0"=-~-__~ .~
Fisher, Y., J.R. Hubbard, and B.S. Wittner [1988], A proof of the uniformization theorem for arbitrary plane domains, Froc Amer Math Soc 104, 413-418. (129) Fitzgerald, GR., and C. Pommerenke [1985], The de Bmnges Theorem on
univalent junctions, Trans Amer Math Soc 290, 683-690. (133, 160)
l~
387
sions and their continuous analogies, Proc Conference at Edwardsville, Ill, Southern Illinois Univ. Press, 235-255, Carbondale, IL. (199)
Jenkins, J.A. [1991], On analytic paths, Constantine Caratheodory: An In
ternational Tribute, edited by Th. M. Ras."ias, World Scientific Publ. Co.,
548-553. (21)
Ford, L.R. [1972], Automorphic Functions, Chelsea Publ. Co., New York. (123)
Katznelson, Y. [1976], An Introduction to Harmonic Analysis, Dover, New
Frostman, O. [1935], Potential d' equilibre et capacite des ensembles, Lund
Univerisity Sem 3: (234, 336)
Koosis, P. [1980], Introduction to H p spaces, London Math Soc Lecture Notes 40, Cambridge Univ. Press, Cambridge. (269)
Gamelin, T.W. [1969], Uniform Algebras, Prentice Hall, Englewood Cliffs,
NJ. (197)
Landkof, N.S. [1972], Foundations oj Modern Potential Theory, Springer
Verlag, Heidelberg. (234, 301, 333, 334, 344, 376)
Gamelin, T.W., and D. Khavinson [1989], The isoperimetric inequality and
rational approximation, Amer Math Monthly 96, 18-30. (193)
Lang, S. [1985], SL 2 (R), Springer-Verlag, New York. (123)
Garnett, J. [1981], Bounded Analytic Functions, Academic Press, New York. (293)
York. (199, 203)
.1
Lindberg, P. [1982], A constructive method for V-approximation by ana lytic junctions, Ark Math 20, 61-68. (173)
Markusevic, A.I. [1934], Conformal mapping of regions with variable bound ary and applications to the approximation of analytic functions by polyno Goluzin, G.M. [1969], Geometric Theory of Functions of a Complex Vari mials, Dissertation, Moskow. (172)
able, Amer Math Soc Translations 26, Providence. (90, 134, 359) Hayman, W.K., and P.B. Kennedy [1976], Subharmonic Functions, Aca
demic Press, New York. (234)
Massey, W.S. [1967], Algebmic Topology: An Introduction, Harcourt, Brace,
& World, New York. (110)
Hedberg, L.I. [1972a], Approximation in the mean by analytic junctions,
Trans Amer Math Soc 163,157-171. (171, 173,351)
Mergeljan, S.N. [1953], On the completeness oj systems of analytic func tions, Uspeki Math Nauk 8, 3--63. Also, Amer Math Soc Translations
19 (1962), 109-166. (173)
Hedberg, L.I. [1972b], Non-linear potentials and approximation in the mean
by analytic functions, Math Z 129, 299-319. (173, 234, 351, 376)
Hedberg, L.I. [1993], Approximation by harmonic functions and stability of
the Dirichlet problem, Expo Math 11, 193-259. (173, 376)
Heins, M. [1946], On the number of 1-1 directly conformal maps which a
multiply-connected plane region of finite connectivity p (> 2) admits onto
itself, Bull Amer Math Soc 52, 454-457. (97)
Helms, L.L. [1975], Introduction to Potential Theory, Robert E. Kreiger
Publ. Co., Huntington, NY. (234, 301, 334, 367, 368, 376)
y
Meyers, N. [1975], Continuity properties of potentials, Duke Math J 42,
157-166. (372)
Minda, C.D. [1977], Regular analytic arcs and curves, Colloq Math 38,
73-82. (21)
Mozzochi, C.J. [1971], On the Pointwise Convergence of Fourier series,
Springer-Verlag Lecture Notes 199, Berlin. (199)
Nehari, Z. [1975], Conformal Mapping, Dover, New York. (134)
Hille, E. [1962], Analytic Function Theory, Ginn and Co., Boston. (359)
Newman, M.H.A. [1964], Elements of the topology of plane sets of points,
Cambridge University Press, Cambridge. (6)
Hocking, J.G., and G.S. Young [1961], Topology, Addison-Wesley, Reading
MA. (48)
Ohtsuka, M. [1967], Dirichlet Problem, Extremal Length and Prime Ends,
Van Nostrand Reinhold, New York. (44)
Hoffman, K. [1962], Banach Spaces of Analytic Functions, Prentice-Hall, Englewood Cliffs, NJ. (269)
Pfluger, A. [1969], Lectures on Conformal Mapping, Lecture Notes from Indiana University. (129)
Pommerenke, C. [1975], Univalent Functions, Vandenhoeck & Ruprecht,
Hunt, R.A. [1967], On the convergence of Fourier series, orthogonal expan
i'
=
~
388
_ ...3£
_2&
II
-.. §4¥
m
--
-~~--._~.-
C-'C-..
- -.
'~-'~"~~'~~~-~~~~'--'----
"
References
G6ttingen. (33, 49, 146)
Rada, T. [1922J, Zur Theorie der mehrdeutigen konformen Abbildungen, Acta Math Sci Szeged 1, 55-64. (107)
II
List of Symbols
800
Coo
ins,
out,
Rubel, L.A., and A.L. Shields [1964], Bounded approximation by polynomi C(X)
als, Acta Math 112, 145-162. (173)
Richter, S., W.T. Ross, and C. Sundberg [1994], Hyperinvariant subspaces
of the harmonic Dirichlet space, J Reine Angew Math 448, 1-26. (334)
Sarason, D. [1965J; A remark on the Volterra operator, J Math Anal Appl
12, 244-246. (295)
Spraker, J.S. [1989], Note on arc length and harmonic measure, Proc Amer
Math Soc 105, 664-665. (311)
cn(G)
supp f
8f, 8f
J fdA
*du
G#
Stout. E.L. [1971], The Theory of Uniform Algebras, Bogden and Quigley, Tarrytown. (197) Szeg6, G. [1959], Orthogonal Polynomials, Amer Math Soc, Providence. (156, 157)
..1' Tsuji, M.
••_ . - .
[1975], Potential Theory in Modern Function Theory, Chelsea,
New York. (344) Veech, W.A. [1967], A Second Course in Complex Analysis, W.A. Ben jamin, New York. (129) Weinstein, L. [1991], The Bieberbach conjecture, International Research J (Duke Math J) 5, 61-64. (133) Wermer, J. [1974J, Potential Theory, Springer-Verlag Lecture Notes 408,
Berlin. (234, 301)
Whyburn, G.T. [1964], Topological Analysis, Princeton Univ. Press, Prince ton. (3)
f#
a.e.
n.t.
Clu(f;a)
Clur(f; a)
l(p)
II(p)
H 1
]]))*
U
S
fn -+ f(uc)
osc(f; E)
Aut(G,T)
7r(G)
JH[
p I:
j
p~Ct,(3)
U(G) L~(G)
L~(G)
PP(G) RP(G) Cc(G) Co (G) JL*TJ
L~oc' Lfac
A D(G)
1 1 3 3 6 6 7 7 9 15 17 17 22 23 31 45 45 46 51 57 57 62 86
100
111
112
116
135
137
144
156
169
169
169
170 170
178
178
179
180
180
185
Lu 8L, 8L PVn
8w ji,
p, R(K) Pz
log+ Lp. H(K) 'P(u, G), p(u, G) U it
ftc Uc S(G) Soo(G) Hb(G)
Wf Wf
185
186
187
189
192
192
196
205
223
229
235
237
238
238
238
238
241
241
246
259
0
(u,v)c HP Mp(r, f) N A N+ PP(JL) Pg(JL) W a
waC LP(8G)
P, Loo(800 G) £1 (800 G) rob(K)
Gil- MC(E) M't-(E) MR(E) M'j(E) I(JL)
261
261
269
269
273
286
290
295
296
301
302
305
311
312
312
313
315 331
331
332
332
332
~_
_
H_
JJ1~""'~!!!!I
390
veE) c(E) q.e. Lr J-l Ir(fJ) vr(E) cr(E) rem(G)
II II
Ii
I
III
~
~
,,,,,,.;;;.=;eK~~:~!~~~~~~'~~!!~~~~~6,;;:;:e.,..,~-~~;~4r:..~~~~£~o'"""=:;~~~~""~
!':.~'!:,~lIfm'!ftUE
List of Symbols
332 332 332 333 333
333
333
344
8n (K) 8oo (K) IUE ju E
F U c*(E) v*(E)
356
357
360
360
368
368
376
376
Index
ao-lift 110
ao-lifting 110
absolutely continuous function 52
accessible prime end 46
almost everywhere 22
analytic covering space 109, 113,
114
analytic curve 20
analytic in a neighborhood of
infinity 30
analytic Jordan region 20, 82
approach non-tangentially 23
Area Theorem 57
Aumann-Caratheodory Rigidity The orem 131
automorphism (of analytic cover
ing spaces) 114
automorphism (of covering spaces)
111
balayage 360
barrier 253
Bergman space 344
Beurling's Theorem 290
Bieberbach conjecture 63, 148
Blaschke product 274
Blaschke sequence 273
bounded characteristic 273
bounded measure 187
bounded variation 52, 211
boundedly mutually absolutely con tinuous 304, 310
Brelot's Theorem 306
Cantor set 342, 344
Cantor ternary set 344
capacity 353
Caratheodory Kernel Theorem 89
Caratheodory region 171
Cauchy transform 192
Cauchy-Green Formula 10
Cauchy-Riemann equations 7
Cesaro means 199
Chain Rule 7
Choquet capacity 333
circular region 100
circularly slit annulus 91
circularly slit disk 97
classical solution of the Dirichlet
problem 237
cluster set 31
conductor potential 336
conformal equivalence 41
conjugate differential 15
Continuity Principle 233
converges uniformly on compacta
85
convex function 225, 228
convolution 179, 180, 184
cornucopia 171
Corona Theorem 295
covering space 109
crosscut 33
curve generating system 71
de Branges's Theorem 160
decreasing sequence of functions
218
Dirichlet Principle 264
Dirichlet problem 79,237,267,367
Dirichlet region 237
Dirichlet set 237
disk algebra 286
Distortion Theorem 65
distribution 185
energy integral 332
equilibrium measure 336, 352, 367
equivalent zero-chains 40
F and M Riesz Theorem 283
:"'-'::
:".~Jii._ ~_
_":-.. ?L
._.__",.
5 ..._---..
""
.~,_ M
.~~"O
_.
~~,
._~. \£S2£L)&
392
I'
ill
Factorization Theorem 280 Fatou's Theorem 212 Fejer's kernel 200 fine topology 368 finely closed 368 finely continuous 368 finely open 368 finite measure 178 finitely connected 71 Fourier coefficients 198 Fourier series 198 Fourier transform 198 free analytic boundary arc 18 functibn of bounded characteristic 273 function of bounded variation 285 fundamental group 112, 115 fundamental neighborhood 109
I
Generalized Distortion Theorem 68
Great Picard Theorem 125 greatest common divisor 294 greatest harmonic minorant 245 Green capacity 334, 344 Green function 246, 250, 252, 309, 328 Green potential 316, 361, 365 Green's Theorem 9
II
I
Hardy space 269 harmonic at infinity 237 harmonic basis 74 harmonic conjugate 15 harmonic majorant 245 harmonic meaBure 74, 302, 312, 355 harmonic measure zero 320, 331, 340 harmonic modification 226 harmonically measurable 321 Hartogs-Rosenthal 197 Hausdorff measure 344 Herglotz's Theorem 209, 210 homogeneous space 203
_,
Index
homomorphism (of analytic covering spaces) 113 homomorphism (of covering spaces) 111 hyperbolic set 248, 250, 256, 301 impression of a prime end 45 increased function 360 inite measure 178 inner circle 91 inner function 278 inside of a crosscut 34 inside of curve 3 Invariance of Domain Theorem 107 invariant subspace 290 irregular points 330, 340 isomorphism (of analytic covering spaces) 114 isomorphism (of covering spaces)
111
Jacobi polynomials 156 Janiszewski's Theorem 49 Jensen's Inequality 225 Jordan curve 2 Jordan Curve Theorem 3 Jordan domain 20 Jordan region 20, 51, 76 kernel 85 Koebe l/4-Theorem 64, 137 Koebe Distortion Theorem 65 Koebe function 33, 67, 146 Landau's Theorem 127 lattice 293 leaBt common multiple 294 least harmonic majorant 245 Lebedev-Milin Inequality 150 Leibniz's rule 183 Little Picard Theorem 124 Littlewood's Subordination Theorem 272 locally connected 48 locally finite cover 175 locally integrable 180
.:~~.~!!!K@:- m~
,,'''_
,~ ~."_.~."~~@,~~~~~;K~ig§J&. ""~.-_~.. P¥~,~*,::T§*f);~~!~~~~-~~,: •••
..
~~~! !!:~~~"}~M~'~:~~!~!~'~
Index
Loewner chain 136 Loewner's differential equation 146 log integrable function 277 logarithmic capacity 332, 357 logarithmic potential 229 loop 3, 110 lower Perron family 238 lower Perron function 237 lower semicontinuous 217 lsc 217
Maximum Principle 27, 221, 233, 339 measure 178 measure zero 22 Milin's conjecture 149 Mobius trBJlsformation 29, 30 modular function 122 modular group 116 modular transformation 116 mollification 181 mollifier 181 Montel-Caratheodory Theorem 124 mutually absolutely continuous 302, 304,310 Nevanlinna class 273 non-degenerate region 71 non-tangential limit 22, 26 n-connected 71 n-Jordan region 20 n.t. convergence 211 oscillation of a function 100 outer boundary 20 outer capacity 376 outer circle 91 outer function 278 outside of a crosscut 34 outside of curve 3 parabolic set 248, 325 paracompact 175 partition of unity 176, 182 peaks at a point 373 periods of a harmonic function 72
393
Poincare Inequality 261 Poisson kernel 205 polar set 323, 325, 330, 334, 340, 347, 369, 374 positive distribution 190 positive Jordan system 3 positive measure 178 positively oriented 3 prime end 41
primitive 14 principal point 46 proper map 84 quasi-everywhere 332 q-capacity 351 radial cluster set 45 radial limit 22 refinement 175, 360 Reflection Principle 17
regular point 256, 328, 357, 375, 377,378 regularization 181 regularizer 181 removable singularity 344 Riemann map 49,50 Riesz Decomposition Theorem 232, 318 Robertson's conjecture 148 Robin constant 311, 332, 350s Runge's Theorem 195 r-Iogarithmic capacity 331 Schlicht function 60 Schottky's Theorem 123s Schwarz's Lemma 130 Sectorial Limit Theorem 25 separated sets 3 Separation Theorem 3 simple boundary point 52 simple closed curve 2 simply connected 1 singular inner function 278 singularity at (infinity) 30 slit domain 84
II
I
II
394
Index
I
!
•j i
I
,
I
1.1
II
smooth curve 3 Sobolev space 259 solution of the Dirichlet problem 240, 267, 367 solvable function 240, 306 solvable set 240, 256 Stolz angle 23, 211 string of beads 305 subharmonic function 220, 231, 232, 248 subordinate function 134 subordinate partition of unity 176 Subordination 133 summation by parts formula 155 superharmonic function 220 support of a function 7 sweep of a measure 311 Swiss Cheese 198 Szego's Theorem 298 Taylor's Formula 8 Tchebycheff constant 359 Tchebycheff polynomial 359
test function 185 thick at a point 369 thin at a point 369 transfinite diameter 357 transition function 139 trigonometric polynomial 198
Graduate Texts in Mathematics continued from page ii
65 66
Uniformization Theorem 123, 125 univalent function 32 universal analytic covering 125 universal covering space 112 upper Perron family 238 upper Perron function 238 upper semicontinuous 217 usc 217 Vandermonde 356 weak derivative 259 Weyl's Lemma 190 Wiener's Criterion 377 zero-chain 34
67 68 69 70 71 72
73 74 75 76 77
78 79 80 81 82 83 84 85 86 87 88 89 90 91
92 93
WELLS. Differential Analysis on Complex Manifolds. 2nd ed. WATERHOUSE. Introduction to Affine Group Schemes.
SERRE. Local Fields.
WEIDMANN. Linear Operators in Hilbert
Spaces.
LANG. Cyclotomic Fields n.
MASSEY. Singular Homology Theory.
FARKAS/KRA. Riemann Surfaces. 2nd ed.
STILLWELL. Classical Topology and
Combinatorial Group Theory. 2nd ed. HUNGERFORD. Algebra. DAVENPORT. Multiplicative Number Theory. 2nd ed. H()(:HSCHILD. Basic Theory of Algebraic Groups and Lie Algebras. IITAKA. Algebraic Geometry. HECKE. Lectures on the Theory of Algebraic Numbers. BURRIS/SANKAPPANAVAR. A Course in Universal Algebra. WALTERS. An Introduction to Ergodic Theory. ROBINSON. A Course in the Theory of Groups. FORSTER. Lectures on Riemann Smfaces. Bcmrru. Differential Forms in Algebraic Topology. WASHINGTON. Introduction to Cyclotomic Fields. IRELAND/RoSEN. A Classical Introduction to Modern Number Theory. 2nd ed. EDWARDS. Fourier Series. Vol. II. 2nd ed. VAN LINT. Introduction to Coding Theory. 2nd ed. BROWN. Cohomology of Groups. PIERCE. Associative Algebras. LANG. Introduction to Algebraic and Abelian Functions. 2nd ed. BR0NDSTED. An Introduction to Convex Polytopes. BEARDON. On the Geometry of Discrete Groups. DIESTEL. Sequences and Series in Banach Spaces. DUBROVIN/FoMENKO/NoVIKOV. Modern Geometry-Methods and Applications. Part I. 2nd ed.
94 95 96 97 98 99 100
101 102 103 104
105 106 107 108
109 110 III 112 113 114 115 Il6 117 118 Il9 120
WARNER. Foundations of Differentiable Manifolds and Lie Groups. SHIRYAYEV. Probability. CONWAY. A Course in Functional Analysis. 2nd ed. KOBLITZ. Introduction to Elliptic Curves and Moduhu' Forms. 2nd ed. BR()(:KERrrOM DIECK. Representations of Compact Lie Groups. GRovE/BENSON. Finite Reflection Groups. 2nd ed. BERG/CHRISTENSENIRESSEL. Hannonic Analysis on Semigroups: Theory of Positive Definite and Related Functions. EDWARDS. Galois Theory. VARADARAJAN. Lie Groups, Lie Algebras and Their Representations. LANG. Complex Analysis. 3rd ed. DUBROVIN/FoMENKO/NoVIKOV. Modern Geometry-Methods and Applications. Part n. LANG. .5L,(R). SILVERMAN. The Arithmetic of Elliptic Curves. OLVER. Applications of Lie Groups to Differential Equations. 2nd ed. RANGE. Holomorphic Functions and Integral Representations in Several Complex Variables. LEHTO. Univalent Functions and Tcichmiiller Spaces. LANG. Algebraic Number Theory. HUSEM(jLLER. Elliptic Curves. LANG. Elliptic Functions. KARATZAS/SHREVE. Brownian Motion and Stochastic CalculUS. 2nd ed. KOBLITZ. A Course in Number Theory and Cryptography. 2nd cd. BERGERIGOSTIAUX. Differential Geometry: Manifolds, Curves, and Surfaces. KELLEy/SRINIVASAN. Measure and Integral. Vol. J. SERRE. Algebraic Groups and Class Fields. PEDERSEN. Analysis Now. ROTMAN. An Introduction to Algebraic Topology. ZIEMER. Weakly Differentiable Functions: Sobolev Spaces and Functions of Bounded Variation.