)) - Φ
< ΙΙΦ(^Μ) - Φ(^Μ)ΙΙ +
mM
(W(V))II
^
Ii (16.12)
According to Lemma 16.1, for t G T\, we can write {r£t-(
\\
/(mh(m\\\\ ^ Tfnvi-f
\
("O/Mmi
(τη) (τη)
< L(0)a(m)K2 exp{a(0)|i|} < L(0)a(ra) Κ % —> 0
as
m —» oo.
Further, by the condition of the theorem, (m) _
ll$(v>t(p)) - Φ (¥>t(v))ll -» 0 (τη) (m\
as m - » oo.
Λ
Let us now show that if { Φ ( V )} 6 then Φ(<^) G Cjip(£·«,) with the same coefficient L(k) —> 0 as k —> oo independent of m. Denote ^ = (φι,..., Vfc, Vfc+2, · · ·)· T h i s y i e l d s
= || Φ ( v i , . . . , W f c + e ) -
φ
< L(k) sup{|v?fc+i - ¥»fc+i|,.. ·, l^fc+s - Vfc+J}
(16.13)
This inequality is true for all m = fc + s, where s is an arbitrary natural number. Clearly, for all m < k,
172
Chapter 3
Reducibility of Linear Systems
Since \\Φ(φ) - Φ(φ',)\\
( m ) /fmk
(m)
Am\ Φ (>'*)
= J i m || Φ ( V ) -
( f c + s )/ ( f c V\
(*+»>,(fc+a) Ν
by using inequality (16.13) we obtain m?)
- *M\\
< m\\v>
-
M ,
i.e., Φ (φ) <= C^piFoo)· In this case, ΙΙΦΜρ))
-
^t(p)\\
< L(m)h
- Ο
a s m - » oo. Thus, in view of inequality (16.2), we have HA/
t \\
ίί/^Μ"^
0
as
m —+ oo
uniformly in t € T\, which completes the proof of the first part of condition (16.11). The second part of this condition is proved in exactly the same way. Remark 16.1. Theorem 16.1 remains true if the number m appearing in its conditions takes the values m\ < mz < ... < mv < . . . , where m„ —> oo as ν —> oo. To illustrate this assertion, we consider, as an example, a system of the form (16.1) containing a scalar normal variable: dx
άφ ν dt
~ ^
dt
~
a + ^ olv sin φν χ
(ν = 1 , 2 , . . . ) .
(16.14)
u=1
The truncated system corresponding to this system has the form dx
d
dt
~ *"
dt
a+ ^
au sinψ ν χ
(v =
l,m).
(16.15)
v=l
Its solution ^xt(%\ ^o) can be represented in the form (τη)
(m)
"xt (
, x 0 ) = XQ e x p j a i + ^
— [cos ψ°ν - cos(a;„t +
1 <*>v
J.
Section 16 The change ^
Systems with Almost Periodic Coefficients = exp{- Σ
~
tern
άφυ __=
cos
ψΛ ^
(τη)
dy __
ω ι / ) 00
173
reduces system (16.15) to the sys-
(m)
= a y
(i/ = 1, τη).
Oiu
We assume that the series Σ I — I converges and set m
(m)
Φ = expj —
v=l
—cos
ω
(m)
(ml
In this case, it is clear that the sequences { Φ } and { Φ and, moreover, Φ =
1}
converge as m —> oo
(m) r 0 0 α„ ι lim Φ = e x p j — ^ — cos φ„ >.
The change of variables χ = Φρ reduces system (16.14) to the system
d
dy -=ay
(v =
1,2,...).
In the system of equations (16.1), we now assume that χ e 9Jt and ψ e 971 and denote the system obtained as a result by (16.16). In this case, one can use different procedures of truncation of the variables χ and ψ. Thus, in particular, if we truncate the system only with respect to χ, then we get a system of the form (16.1) and, by virtue of Theorem 16.1, the following assertion is true:
Theorem 16.2. Suppose that the system of equations (16.16) is such that a(
d{y ~Έ
Η =
(η)
ρ { ψ ) χ
(η)
truncated with the help of a reducing matrix Φ (φ) can be reduced to a system of the form dtp . . ψ) dt=a{ >
d(X ~dt
=
W(n) y '
Chapter 3
Reducibility of Linear Systems
174
(n)
(n)_
I f , in addition, { Φ (φ)}
and Φ
1 (φ)}
are uniformly regular sequences and
(n)
{jB}
is a regular sequence, then system (16.16) is reducible and its reducing
(»)
matrix
Φ(φ)
=
lim Φ(ν?). η—>οο
Combining the data on the reducibility of systems with quasiperiodic coefficients of the form (16.2) with the theorem on reducibility (Theorem 16.1), one can obtain new results concerning the reducibility of systems with almost periodic coefficients. In what follows, we formulate one of these results. Assume that the matrix A
in system (16.2) with χ € Rn
a constant matrix with different eigenvalues and Ρ{φ)
and φ Ε Ott is
G (7° ί ρ (^ Γ 0 0 ) is a matrix
(τη)
analytic as a function of ψ in the domain |Im>| < ρ and real for real φ. In this case, the frequency basis of the almost periodic function ω is such that, for any natural m, there exist positive numbers δ(τη) and d(m) (™) .. . Μ nonzero integral vectors k .
( M ) (TO)
such that |( k , ω )| >
It is known that, under these conditions, there exist ε(πι)
> 0 such that any
system truncated with respect to φ to the order m and corresponding to system (16.2) can be reduced, for all ε < ε(τη),
(τη)
Ί τ
=
ω
·
to a system of the form
i
dy
(m) =
(m) IT ( m ) . Ρ by using the matrix Φ ( φ ) analytic as a function of ψ for |Im φ | < - and 2 (m)
real for real ψ . T h e o r e m 16.3. Assume that system (16.2) satisfies the conditions presented (τη) (TO) ^ above, the matrices Φ (φ), Φ _ 1 ( ψ ) £ ^ίρί-^οο) with coefficients indepen( m ) (to) dent of m, the sequences { Φ ( φ )},
(m) (to) Φ - 1 ( φ ) converge asm —* oo, (πι) and, moreover, the last of these sequences converges uniformly in φ . Then, for all ε <
inf
ε(πι),
(m) {Ao},and
the system of equations (16.2) is reducible
m= 1,2...
(TO) with the help of the reducing matrix Φ (φ) =
lim
Φ ( ψ ).
Section 17
Quasiperiodic Systems with Unbounded Right-Hand Side
175
Note that if the matrix A in system (16.2) is infinite and unbounded in norm, then it is impossible to use the proposed method for the solution of the problem of reducibility. The next section is devoted to the analysis of this case.
3.17.
Quasiperiodic Systems with Unbounded Right-Hand Side
In the present section, using the method of accelerated convergence of iterations, we construct reducing matrices for systems of differential equations of the form ^
= Αχ + Ρ(φ)χ,
(17.1)
under the assumption that the norm of the matrix Ρ{ψ) is sufficiently small. We assume that A is an infinite constant real diagonal matrix, χ e ÜJI, φ £ R , ω e Rm, and Ρ {φ) is an infinite matrix 27r-periodic in φι (i = 1, τη), analytic in the domain |Imy?| = max{|Im<£>i|,..., |Im
i
j=1 v
where Mo is a sufficiently small constant. Our aim is to find an invertible matrix Φ(φ) analytic in the domain |Im?| <
po
— , real for real φ, 27r-periodic in ψ{ (i = 1, m), bounded in the norm || · H^, and 2Ζ such that the change of variables
χ - Φ(φ)ν,
ψ = ωί + φο
transforms the system of equations (17.1) into a system
ft =
Tt=u<
·
(17 2)
where Aq is a constant matrix. An important role in the construction of the matrix Φ(<^) by the method with accelerated convergence of iterations is played by a matrix equation of the form
£ α=1
. ΩΑ + UA = AU + Ρ(Φ),
(17.3)
176
Reducibility of Linear Systems
Chapter 3
where Ρ{ψ) is given by the series (k) the diagonal elements of the matrix 2π
2π
άψτ are equal to zero, k = (fci, fo,..., km) We set I A; I =
m
IM
is an integral vector, and (k) = Σ ht=l
and (k,uj) =
771
Σ ^ίωί· The following statement i=l t=l concerning the existence of periodic solutions of equation (17.3) is true: Lemma 17.1. Assume that the matrix A = diag{ai,a2,...} is such that inf I a, — aj | = r > 0 and, moreover, one can find numbers ε > 0 and d > 1 such i^j that the inequality u>)\>e\k\~d holds for all |fc| ψ 0. Then equation (17.3) possesses a solution ϋ{ψ) 2π-periodic 1, m) in the form of an analytic (real for real φ) matrix.
in ψχ (i
=
Proof. The required solution of equation (17.3) is sought in the form of a series ϋ{φ) = Σ Uke*k> ν») (k) whose coefficients satisfy the matrix equation Uk(A + E-i(u,
k))-AUk
=
Pk,
where Ε is the identity matrix. Note that this equation has the form X B - A X — C, where A and Β are diagonal matrices. This enables us to write the following relation for the coefficients Uk :
/ Uk
=
f>21
\ wherePfc =
iff i(k, ω) αϊ - 0,2 + i(k, ω)
[p^-=1.
j ®
ai — a\+ i(k, ω) (k) P22 i(k, ω)
\
Section 17
Quasiperiodic Systems with Unbounded Right-Hand Side
177
Let us now study the problem of the existence of the matrix Uk for different k. It is clear that if |A;| φ 0, then the solution Uk exists and is unique. For \k\ = 0, the solution C4 either does not exist or cannot be defined [for
= 0
(i = 1 , 2 , . . . ) ] . As Uo, we take the matrix
/ U0 =
ΡΪ 2
0
\
ü2 — αϊ
P°21 αϊ — a2
0
\
7
Since |aj - a,j + i(k, a;)| > ε|/:| d , we have ,(*)i W
1
<
00
oo
\Pij)]
ι
-l^sup^bifl 1 J=1
= -\k\d\\m
(1^1 Φ ο),
\\Uo\\ < 3Po\\.
r
The following assertions are true (they are proved in [BMS]): 1°. Consider an analytic function f((p) of an angular variable φ = (ψ\ , φ ζ , . . . ,
(k) and its Fourier coefficients satisfy inequality \fk\ < Mo exp{—p\k\}. 2°. The inequality
V\V 1 (k)
e
holds for 0 < δ < 1, ν > 1.
< [
e )
178
Reducibility
of Linear
Chapter 3
Systems
We set |Imy?|o = sup^, |Imv?|. By using assertions 1° and 2°, we conclude that the inequalities \\υ{φ)-υ,{φ)\\ψ
<
Σ
<
< 1Μ„ t
<
Σ
t
|fc|^0
e
ö
0
111·
dU(
0φ 3
7lfcl1^llelwlo|fci
Σ
Ι dU{
<
Σ
\k\d+1e2S°W
—Mq Σ ε
iMit4iie|wlo|fc| ψ < αΣ= 1 | Σ fc|/0
<
+ e)T
mMo/d+l\d+i(l
(
mo
e
J
hold for |Im(^| < p 0 - 2<50 = p\ > 0 and 0 < <50 < 1. To show that the matrix U(φ) is real for real φ, it suffices to use the fact that its coefficients U a n d are complex conjugate. This follows from the same property of the Fourier coefficients Pjt and P-k of the matrix Ρ (φ), which is real for |Ιπκ,σ| = 0. The lemma proved above is used for the construction of the iterative process studied in what follows. The space of functions z(t) = {zi(t),Z2(t),...} such that sup L{|£i(i)|}J < i,t€T
oo and supu{I i,t€T
^ I j < oo, where Τ is a (finite or infinite) interval of time, is at
Ν
denoted by Μ. A function χ — x(t) is called a solution of the system of equations (17.1) on Τ if it turns equations (17.1) into identities for all t e Τ and belongs to the space Μ for any finite interval T\ C T. The diagonal matrix whose elements coincide with the diagonal elements of the matrix Ρ (φ) is denoted by Ό(φ). We set 2π
37=
1
(2*)'
2π
J ... J ϋ{φ)άψι
..
.dipm.
Section 17
Quasiperiodic Systems with Unbounded Right-Hand Side
179
Further, we perform a change of variables according to the formula x = (E + UW foOJyW, where
is a solution of the equation ,dUW(
= AUW + Ρ{φ) - D.
(17.4)
By virtue of Lemma 17.1, equation (17.4) is indeed solvable. For ||t/(1)(>)ll < 1, there exists the inverse matrix (Ε+υ^{φ))~1
Σ(-1)*°(Ε/(1)(¥>))*°.
=E + fc0=l
Moreover, the series on the right-hand side of this equality is uniformly convergent. Then?/ 1 ) = ( E + t / " ^ ^ ) ) - 1 ® . Note that the analytic matrix (£+f7 ( 1 ) (v>)) _ 1 satisfies the Cauchy estimate for |Im?| < pi — σ\ > 0, i.e., the derivative of this matrix with respect to tpi is bounded in norm. Indeed, we now denote ( Ε + { / ^ ( y ) ) - 1 = W = [ ω ^ · ( < / ? ) ] a n d show dW(ij(
9φ 3
φ
for all i, j = 1 , 2 , 3 , . . . and s = 1, m. This gives dW(cp) d
ψ
= sup y ^ s u p 3=1
φ
0ψ 9
00 1 1 < — sup Σ sup \u>ij{φ)\ = — σ σι i rri Ψ ι
φ·
180
Reducibility of Linear Systems
Chapter 3
Let χ = x(t) be a solution of the system of equations (17.1) in T. Then, for all ί G T , we have
j=1
j—\
j=1
since the series on the right-hand side of this equality converge absolutely and uniformly in a sufficiently small neighborhood T\ of the point t. This is true because the second series is majorized by the convergent numerical series oo Y]sup|<Jy(p)|JV2, 3=1 * where dx(t)
Σ Ι ^ - f Η d
• 1 3=1
0
where ||x(t)|| < N\. This means that, for t e Τ and y^
G M , we have
and the system of equations (17.1) reduces to the form ^
= (A + D ) y ^ +
f
where Ρ*1) (φ) = (Ε + UΜ {φ))'1 (Ρ(φ)ϋ^(φ)
(l + e) m <5o+m
= 2 Mq
r
+
Wl
(17.5)
- U™ {ψ)Ό). Further, we have
2M 0 (d\d
2
=
1 (d\d ε (e)
(1 + e)r Sd+m
Section 17
Quasiperiodic Systems with Unbounded Right-Hand Side
181
We choose sufficiently small Mo such that
where 1 < κ < 2 is a fixed number. Then <
and
for small Mo. Therefore, the matrix (Ε + U ^ f a ) ) - 1 indeed exists. We estimate the norm of the matrix \\Ρ{1)(<ρ)\\φ < IKE + υ^{φ))~1\\φ{\\Ρ{φ)\\ίβ\\υ{1)(φ)\\φ
+
< ( l + £ \\υΜ{φ)\\!ϊ) k= 1
(Mo^jp + M ^ f )
- V
8
1-
78 J
-
\\υ{ί){φ)\\φ\\ϋ\\φ)
0
Despite the fact that, in order to get the last inequality, it is sufficient that |Im| < pi — σ\. Since we consider the real case (|Im<^| = 0), we have y^ £ Μ for all t € T. _ 1 Denote A^ ) = A + D. It is easy to see that, for small Mo, the diagonal elements of the matrix have the same property as the elements of the matrix A. Indeed, inf I of^ - a^ \ > inf | a, - aj \ - sup | di - dj \ > r 0 - 2Mo = π > 0. i/j i/j i/j Thus, it is shown that the system of equations
obtained in the first step of the process admits the second step of the iterative process.
182
Reducibility of Linear Systems
Chapter 3
We define a sequence as (s = 1 , 2 , 3 , . . . ) by the inequality as < ps. Assume that, after s steps of the process, we arrive at the following system of equations: * £
=
AWyW +
pM{(p)yU
(17.6)
where the matrices and Ρ(*\φ) are defined in the domain |Imy>| < ps and the vector function y^ € Μ is defined for t e T. We now realize the (s + l)th step of the process for system (17.6). To this end, in the last system, we perform the change of variables according to the formula y(s)
+U{B+1)
=
(fp))y^)t
where U ( a + 1 \ i p ) is a solution of the matrix equation (
d U i S
^
{ t P
\ ω) +
=
+ Ρ^{φ)
-
D{s)
defined in the domain |Imy?| < ρ 3 +ι· As shown above, 1 f d\d
Setting Ms+i
= M f , ps+ι
- M^
= pa -
1 < κ < 2, and 4 + po > 0 and taking sufficiently small Mo such that
oo ro ~ Σ
M
δ0 <
t
1 ) K
fco=0
we easily obtain the inequality \ \ υ
and, hence,
(1 + e)7
{ 8 + 1 )
( ψ ) \ \
φ
<
> 0,
Section 17
Quasiperiodic Systems with Unbounded Right-Hand Side
183
If, in this case, ||Imy>|| < p3+1 - σ ί + ι , then y(s+V e Μ for t e T. The function yis+i) i s indeed a solution of the system of equations ^
^ at
= A < ' + V + 1 ) + pi'+D^yi'+D,
^ = at
(17.7)
ω
and the matrices and are defined for ||Ιπιγ?|| < p s - 2 < 5 £ + 1 . The reasoning and estimates presented above prove the following auxiliary statement: Lemma 17.2. Assume that the system of equations (17.6) satisfies the following conditions: (i) the matrix Ρ^3\ψ) is 2π-periodic in φι (i = 1, m), analytic as a function of φ in the domain ||Im<£>|| < pS) real for real φ, and bounded in norm by a constant Ms; (ii) the matrix
is diagonal and real and, in addition, inf \a[s) - c4s)| > r3 > 0; J ίφί
(iii) there exist ε > 0 and d > 1 such that |(/c, ω)| > e\k\~d for all integral vectors k such that Φ 0. Then there exists a change of variables y^ = (Ε + ΙΙ^+1\φ)) y(s+1) that reduces the system of equations (17.6) to a system of the form (17.7) in the domain |Im?| < ps+1 — σ3+ΐ· Moreover, the matrices and Ρ(3+ι)(φ) are periodic in ψ{ (i = 1, τή) with period 2π, analytic in the domain |Im?| < ps+i, and such that \\Ρ(9+1)(φ)\\φ < Ms+1 the matrix
and
(φ)\\φ <
iUK-1
is diagonal, real, and such that inf I a j a + 1 ) -
I > r s + 1 > 0,
and, in addition, the following relations are true: Ms+1 = Mf, r s + i = re - Μ ; " 1 > 0 ,
Ps+i =ps1 < κ < 2,
2^0; <50 < - r ^ — . 4 + Po
,
184
Chapter 3
Reducibility of Linear Systems
Lemma 17.2 enables us to continue the iterative process infinitely. The superposition of s changes of the indicated type, i.e., the change x = {E + υ^{ψ))(Ε
+
...{E
υ ^ ( ψ ) )
+
(17.8)
turns the system of equations (17.1) into a system of the form (17.6). We set Φ<β> = Π ( £ + t/( Q ) (¥>)). α=1
By virtue of the definition of the constants ps, and σ3, all matrices φ ( 3 \ φ ) are defined and analytic in the domain |Im?| < ^ and all y ^ belong to the set Μ for t € T. Let us now prove that the sequence { Φ ^ } of matrices converges in the domain |Imv?| < ^ to a certain matrix Φ(<^) periodic in φ with period 2π, real for it
|Imy?| = 0, and analytic in the indicated domain. Since, for all s = 1 , 2 , . . . , the matrices Φ ^ possess the indicated properties, it suffices to show that the convergence of {Φ^ίν 5 )} t 0 the matrix Φ is uniform in the matrix norm || · Thus, we have \\*1'+1H
<
^«FOOIYII^FOOIL.
< Q=1
α=1
8 Αα =Α1Λ = c
M
8 c
= const > 0.
This yields the validity of the following criterion of uniform convergence of the sequence (Φ^)}: 8+ko — 1
ΙΙφί^Μ-φΜβΟΙΙ^β
Σ
00
ΜΪΓ
1
<οΣμϊγ\
Section 17
Quasiperiodic Systems with Unbounded Right-Hand Side
185
Lemma 17.3. The sequence y^(t) (s = 1,2,...) is uniformly bounded on T\ and lim y^(t) w = z(t) eM s—too uniformly in t G T\, where T\ is an arbitrary finite segment from T. ΛΛ
Proof In the domain |Im?| <
Ζ
we can write
\\Φ<'Κφ)-Ε\\ φ < n ( i +
^ i ) - i
α=1
< Π ( ι α=1
+
Ma^ ) - ι
oo <
Π ( ι
+
^ ζ 1 ) _ ,
α=1
00
00 Μ α _ι / M —i \ Since the series Σ —ö— converges, the infinite product Π V(1 Η aö—) Q=1 8 α=1 8 / oo , Ma-1\ is also convergent and, moreover, Π v(1 Η — ) — 1 = Ζ < 1 for sufficiently q=i 8 /
(φ)) α is uniformly convergent and defines
small Mo. Then the series Σ a=l (S)
1
the inverse matrix Φ -1 (φ). Since («) t
~
f
_£_ /
7= 0 α = 1 OO 00 7
7=0 a=l
x
MK~\ 7
7=0
(·) where Κι = const < oo, the sequence {Φ^1 (?)} is uniformly bounded. Let T\ c Τ be an arbitrary finite segment. In this segment, we have ||x(i)|| < dx(t) and || , || < where N? and N§ are positive constants. Hence, for Civ t e Γι, II #(t)|| < Ι Ι ^ Μ Ι Ι Ν Ο Ι Ι < Κ,Ν°Χ = const < oo.
Reducibility of Linear Systems
186
Chapter 3
po
We chose σ = const such that — — σ > 0. By using the Cauchy estimate, Μ we obtain
-
ψ
sup y : sup
9
σο
<
(s)
·
= 1
= Φ - 1 ^ ) and |Imy?|
dt
I <
—,
ψ
σ
(s)
^
for t gT,
^
s u p E " sup I 9
where
9φι
Ψ
j=1
On
- σ. Since x(t) £ M , we get
dt
dt
whence ,00,
*
v
j
ä
\
\
<
H
^
σ
l
M
+
K
l
N
o
=
K 2
=
const < O C )
t e T v
Relation (17.8) implies that
II y (t)-y{t)II
= 11 ν (*)-(£+
u
{ψ))
<
(β+l) fs+11 II U ( v O H i r i }(f)H
<
KiNilM?-1 = ciM;-1,
8
ν (Oil
c\ = const > 0. (s)
This yields the criterion of uniform convergence of the sequence { y ( t ) } on T\ as s —> oo. We denote lim yVt) = z(t) s—>οο
and
lim Φ(?) = Φ(?). s—>oo
Then we get x(t) = Φ(φ(ή)ζ(ΐ). («)
Since || Φ (φ) - E\\ < I < 1, by passing to the limit we obtain ||ΦΜ-£||<1.
Section 17
Quasiperiodic Systems with Unbounded Right-Hand Side
This means that the series Σ (& ~ Φ(ψ)) α
15
187
uniformly convergent and defines
Q=0
the matrix Φ_1(<£>) bounded and analytic in the domain |Imy>| < ~ and inverse Ζ to the matrix Φ (φ). Therefore, 2(ί) = φ" 1 (^(ί))χ(ί) e M . Let us now show that the function z(t) is a solution of the system of equations (17.2), where A0 = lim(A + D + D{1) + ... + D{s)). To this end, it suffices to s—• oo prove the validity of the equality
^V)
r s->oo dt
d
(V
at s^oo
Muw
This follows from the uniform coordinatewise convergence of the sequence ( s ) (s)
(S)
(s)
{A y + P( oo for any finite segment T\ C T. We summarize the results obtained in the present section in the form of the following statement: Theorem 17.1. Assume that the conditions of Lemma 17.1 are satisfied. Then there exists a sufficiently small constant M° > 0 such that, for all MQ < M°, any solution x(t) of the system of equations (17.1) can be represented in the form x(t) — Φ (tp t) ζ (t), where ζ (t) £ Μ is a solution of the system of equations (17.2). Moreover, the invertible matrix Φ(>) is 2π-periodic in φι(ί = 1, m), analytic in the domain |Im<^| < and real for real ψ. L·
Note that, for sufficiently small Mo, the fact that all elements a t of the matrix A are positive implies that all elements A? of the matrix AQ are also positive. The solution of the system of equations (17.2) ζ = z(t) with initial values ZQ and to has the form Zi(t) = 2? exp{a?(i - ίο)}
(i = 1,2,...).
We choose a sequence { z f } e Wl so that {|z?| |a®|} g 9?ϊ. Then z(t0, z*,t) e Μ for all t e (-oo, ίο]. Furthermore, for all initial values to and z° such that \zf\ < |z*|, the corresponding solution belongs to Μ for all t e (—oo, to]· A similar situation is encountered in the case where all elements of the matrix A are negative. The case where the matrix A contains finitely many positive or negative elements can also be studied without difficulties.
Reducibility of Linear Systems
188
Chapter 3
Corollary 17.1. Assume that the system of equations (17.2) has a solution ζ — z(t) € Μ on the segment Τ with initial values to £ Τ and Φ-1 (φ(ίο))χ°, x° G 9Jt. Then, under the conditions of Theorem 17.1, the system of equations (17.1) possesses a solution χ = x(t) € Μ on Τ with the initial values to and x°. To prove this assertion, it suffices to show that, for all t G T,
WW)) dt
4- Φ(φ(ί))Α0 - (A + P(
(17.9)
We set
Ls(t) = ί ί ^ + dt
+ Φ^ρΜ - ΑφΜ -
ΡΦ^
and prove that, for all natural s and t Ε T,
Ls{t)= Thus, for s = 1, L l ( t )
=
+
0.
(17.10)
^
+
+ φ Μ ( E + u W ) (A™ + 27i) + Φ
-
U^D,)
- ΑΦ^{Ε + UW) - ΡΦ^(Ε + υ®) = 0. We assume that equalities (17.10) are true for all s < k. Then
Lk+l(t)
Lk(t)+LkU(fc+1)
=
+ φ(*) =
+
_ λ<*)Ι/(*+Ι) _ pik)
+
0.
This means that equality (17.10) is proved for all natural s by induction. In view of the uniform convergence φ(β) —> Φ, A ^ —• Ao, and P ^ —> 0
άΦ^ at
as s —> oo, it follows from relation (17.10) that —
άΦ dt
• —.
Finally, in relation (17.10), we pass to the limit as s —• oo and obtain the required equality (17.9).
Decomposition of Countable Systems
Section 18
189
3.18. Decomposition of Countable Systems We consider a system of equations ^
=
^ ^
= Ρι(φ)χ + Ρ\2{φ)ν,
(18.1)
= P2i(
where χ, y e Μ, φ e Rm, and Pi, P2, P\2, P21 G 0 ° ( ^ τ η ) are infinite matrices bounded in the norm \\P(
su
p^
^
MvOI-
The case where χ or y belongs to Rn is not excluded. The set of matrices from C°{Fm) bounded in the norm || · ||jrm together with their derivatives with respect to (ζ = 1, m) is denoted by C j ^ ^ m ) . Our aim is to find a change of variables χ = Xi + Ui(
y = yi+U2(
(18.2)
where U\ (φ) and ϋ2{ψ) are infinite matrices, that reduces the system of equations (18.1) to a system of the form %=α{φ),
^=Vl(
^
= P2(
(18.3)
Let = ψί{φ) be a solution of the equation for angular variables in system (18.1). We denote the matrices Ρ{ψ) and Ρ(ψί(φ)) by Ρ and P(t), respectively. If Ui, U2 € CjrJTm) are solutions of the matrix Riccati equations Σ
= P1U1 - υλΡ2 - υ,Ρ21υλ
+ Pi2,
(18.4)
Σ
= PiU2 - U2Pi - U2Pl2U2
+ Ρ21,
(18.5)
έί ^
έί ^ then
Reducibility of Linear Systems
190
= Pximit) = W)u2{t)
Chapter 3
- U,{t)P2{t) - U\(t)P2\(t)U\{t) + - U2(t)I\(t) - U2(t)P12(t)U2(t)
Pl2(t),
+ P21(t),
(18.5*)
and the change of variables (18.2) reduces system (18.1) to a system of the form
άφ Tt
(
ν
= α { φ )
(.Ε - I h L ' i ) ^ = (Pi + P n U i - υ , υ 2 Ρ ι -
at
(E -
U^P^U^x,,
= ( f t + P21U1 - U2U\P2 -
U2UlPllUl)Vi.
If the matrices ( Ε — U\U2) and (E — U2U\) are invertible, then the system of equations (18.1) is reduced to a system of the form (18.3), where
ν^ψ) = (EΤ2(φ)
= (E-
U1U2)~l(P1 U2UX)-\P2
+ P\2U2 - UxU2Pi -
+ P2iUx - υ2υλΡ2
υχυ2Ρηυ2),
- WiftiCA)·
(18.6)
The reasoning presented above can be summarized in the form of the following statement:
Lemma 18.1. If the solutions ΙΙι(φ), U2((p) 6 Cjrm (J-m) of equations (18.4) and (18.5) exist and are such that \m
(18.1):
dt
(18.7)
Section 18
Decomposition of Countable Systems
191
(») System (18.7) is finite-dimensional and if the norm of the matrices Ρΐ2(φ) and (n)
P21 (φ) is sufficiently small, then the corresponding Riccati equations (n)
Σ t=l
=
Vi - u, P2 - Ui P21 U! + Pi2,
=
% - U2 P1 - U2 P i a U2 + P21
(n)
Σ
U.
9
W
(n)
(18.8)
(n)
are solvable with respect to the matrices Ui((p) and υ 2 (φ), provided that \ m % \ \ < ^i(n)exp{-7(n)|i|}, t e
R\
< ÜT2(n)exp{-7(n)|i|}, t € R1. This enables us to formulate the following theorem: Theorem 18.1. Assume that there exist ε0 = const > 0 and a sequence of natural numbers m\ < ni2 < ... < mv < ... such that inequalities (18.9) are true (m„)
for η = mu (1/— 1,2,3,...)
(ro„)
and the solutions U\ and Ό2 of equations (18.8) (m„)
for max{ II P12 (y) ||
, \\Fn((p)\\rm} < ε0 are such that \\ U{
< I < land
(m„)
lim Ui (φ) = Ui(oo Then system (18.1) is reduced to a system of the form (18.3) by the change of variables (18.2), provided that U\((p), ^(v) £ C^^m). The proof of the theorem reduces to the verification of equalities (18.5*). We now prove the first equality. For this purpose, we set mv = s and write the identity dul(t)1 (ο) (») (s) Η (s) (') (a) W ^ f = Pi(t) Ui(t) - U\(t) P2(t) - U^t) P2i(t) Ui(t) + P12(t).
(18.10)
It suffices to show that relation (18.10) admits the componentwise limit transition as s —» 00 and that the operations of limit transition " s-+oo lim " and differentiation "—" on the left-hand side of this relation can be interchanged. dt
192
Chapter 3
Reducibility of Linear Systems We set
W ) =
1.
M t ) =
1.
where I and k take values 1 and 2. For the sake of definiteness, we write equa(s) tion (18.10) for the element u n : dun —α jτ T
A
(i) W
Λ
t=l
(i) (2)
i=1
Λ Λ
(l) W (2i) + (12) Pn ·
(18.11)
r=l i=1
Since A (1) v lim > puuii 3—iOO ' t=l
A (1) = > pii^ii t=l
uniformly in ί and A
(1) (5)
i=1
' t=l
(1)
I
A (1) w - z J ^ 1 * H ^ 1 ~Uil i=l
W I - ll^llli^ - fill.
we conclude that A(i)W A(i) lim > p i i u a = > puna s—»CO ' 1=1 i=l
(18.12)
A(.)(2) ~ (2) lim > witPii = > wiiPii s-+oo ' ^ i=l t=l
(18.13)
uniformly in t. Similarly,
uniformly in t. We set A A r=l t=l
( - ) ( - ) (2i) Wii Pir = J ( t , s),
A A U r l U l i (2i) }^ Pir = r=l i=l
£ ( t , s) = J*(t, s) - J ( i , s).
J
(*> S)>
Section 18
193
Decomposition of Countable Systems
The following inequalities are true: ιr u
\C{t,
μ
V
S)|
^
i
(s)
^
< ^2^\UrlUii
(s)
(s)
(s)
n(21)i
+ Uri Uu -Urχ UU - Uri UU \ \ pir \
r=l t=l
. A , U l uW , f , ιι<21)|, V - I W W 1,(21) < l i~ li I K i l l Pir I + I u l* I L·, Κ * ~ U r l HP l r i=l
r=l
oo < ll^iii{iit/iii ς
i=l
r=l
, > (a\ oc . . I J.m W Iisr>(s) I«« - uu Ä i I + ll^i W i - κ-Ui\\2_j IIΣI 1} (S)
t=l
<
t=l
2e0\\Ul-U1ym.
It follows from these inequalities that lim (J(t, s)-J*(t, 3—>00
s)) = 0
uniformly in t. At the same time, lim J*(t, s) = Σ
YViUii
(21) Pu-
r=l t=l
and, hence, 00
00
jiin J(t, s) = J2^,UrlUli
(21)
Pir
(18.14)
r=l i=l
uniformly in t. Further, by using relations (18.12), (18.13), and (18.14), we pass to the limit as s —* oo in relation (18.11) and obtain the identity dun — =
~
(1)
Pit t=l
~
~
(21)
(2)
L·, i=l
(12)
2^/2^/ ^1^1* Pir + Pll · r=l t=l
This completes the proof of the validity of the first equality in (18.5*). The validity of the second equality in (18.5*) is proved by analogy. We now consider a system of equations ^
= Pi (t)x + Pl2(t)y,
^
= P2i(t)x
+
(18.15)
194
Reducibility of Linear Systems
Chapter 3
where x,y e ÜJI and Pi(t), P 2 (i), Pi2(t), andP 2 i(t) are infinite matrices continuous as functions of t. Assume that Pi(t) and P2(t) are bounded in the norm || · H^, where T\ is an arbitrary finite segment from the semiaxis T~ — (—00,0] and the matrizants Ωιτ(Ρι) and iltT(P2) are differentiable with respect to r e T~. We also assume that, for all t,r £ T~, W^WW
< Κβχρ{-Ί\ί
- t\}
(i = 1,2)
with constant Κ and 7, and the matrices P\2{t) and P21 (t) are such that max{||P 1 2 (i)||,
||P 2 1 (i)||} <
where 0 < α = const < min 11,
|.
Let us now formulate conditions under which system (18.15) is decomposable without truncation. Let G be a set of matrices P(t) such that \\P(t)\\0=
sup | | P ( i ) | | < a i€T-
f o r t e T~. We now seek solutions of equations (18.5*) corresponding to system (18.15) and restrict ourselves, e.g., to the second equation. We set U2(t) = Qt0(P2)V2(t)n°t(P1),
(18.16)
where V2(t) £ G, and, in addition, ΙΙ^2(ί)IIti < °°>
dV2 < oo. dt Τι
(18.17)
Substituting relation (18.16) in (18.5*), we arrive at the equation dV
2 = oO/D^D r>trr>\ - τ;ηΟίο\η Ω ί υ (Ρ 2 )Ρ 2 ιΩ^(Ρι) ^ ( Ρ Ο Ρ ^ Ω *ηί,(P 2 )V 2 . dt
(18.18)
Since lim V2{t) = 0, we can pass from equation (18.18) to the following intet—>—00 gral equation: t v2(t)=
J
{n0^P2)P2ina0(P1)-v2Q°3(p1)pl2ns0(p2)v2}ds.
Section 18
Decomposition of Countable Systems
195
Consider the operator L acting in the set G as follows: t J
{Ωθ(Ρ2)Ρ21Ωδ(Ρι)-5Ωθ(Ρ1)Ρ12Ωδ(Ρ2)5}^.
—oo Since, for any S e G, we have ||Ι»ί>||ο < a , the operator L maps the set G into itself. For any S\, S2 G G, we obtain t
HLS1-LS2II0 <
s u
P { / ll^ill^e^ll^allllSi-Äalldi —00
teT
t τ
+ < <
J
WPnWK^'WSiWWS!
- S2\\ds}
—00
sup ot2e2yt\\Si — S2II0
teT-
α||5ι-52||0.
Thus, L is a contraction operator. Let us show that the space G is complete in (n)
the metric p(S\, S 2 ) = ||5i — 1S2||o· Let {P(t)} be a fundamental sequence in G. Then, for any ε > 0, there exists a number Ν such that sup sup Σ I S CO teT- t , = 1 '
pl]{t) < ε (η)
for η > Ν and m > η. This immediately implies that the sequence {P(t)} converges coordinatewise to a matrix P(t). Let us show that this sequence converges to P(t) in the norm || · |J0- In the inequality 2J | Pij — Pij | < ε, we pass to the limit as m —> 00 and conclude that 3=1
(") Σ I Pij —Pij I < ε for any natural k. If we now pass in this inequality to the limit i=1 as k —* 00, then we get k
00
Σ
3=1
(n) \Pij{t)-Pij(t)\
196
Reducibility of Linear Systems
Chapter 3
for any natural i, which yields the required convergence. Since || Ρ (t) ||o < α (η = 1 , 2 , . . . ) , we have ||Ρ(ί)Ι|ο < a , i.e., P(t) e G. Since the set G is complete, the equation LS — S possesses a unique solution (n)
(n)
V2 e G. It can be represented in the form V2(t) = lim V2(t), where V2 (£) are (n+l) (0) (0) given by the recurrence relation V2 (t) = LV^it) and the role of V2(t) can be played by an arbitrary matrix from G. The matrix ^ ( i ) given by relation (18.16) is a solution of the second equation in (18.5*) if V2(t) satisfies inequalities (18.17) and, in addition, \\υ2(ί)\\ < 1 (since K2a < 1). The first equation in (18.5*) is solved by analogy if, instead of relation (18.16), we set
u1(t) = rt0(P1)v1(t)n°t(P2). The results established above are summarized in the following theorem: Theorem 18.2. Under the assumptions made above, system (18.15) is decomposable on the semiaxis T~ if the solution of equation (18.18) and the solution V\ of a similar equation corresponding to the first equation in (18.5*) satisfy inequalities (18.17). This result can easily be generalized to the case of the right semiaxis.
4. IMPULSIVE SYSTEMS Countable systems of differential equations with pulse action are introduced by analogy with finite-dimensional impulsive systems. The terminology and notation accepted in the theory of finite-dimensional systems with pulse action are naturally generalized to the case of countable systems of differential equations. In the present chapter, we consider only some problems of the theory of countable systems with pulse action naturally connected with problems close to the problems considered in the previous sections. We present some results from the theory of reducibility of linear pulse systems, prove theorems on the existence of invariant sets and invariant tori for quasilinear systems with pulse action, and substantiate an algorithm used for the construction of periodic solutions of pulse systems with small parameter. For finite-dimensional systems, these and related problems were studied in [Per, SaPl-SaP3].
4.19.
Some Results of the Theory of Linear Systems
We represent a countable system of differential equations with pulse action in the form dx —
=
A{t)x,
Δχ|ί=τ.= % Γ ( τ ; - 0 ) ,
t ^ r j ,
(19.1)
where χ e Wl, A(t) = [αίλ:(έ)]Π:=ι a n c * Bj = are infinite matrices, . . . , r _ 2 , T - i , τ ο , τ ι , . . . , Tj,... is an increasing sequence of real numbers from the set R1 = (—00,00), and j = . . . , — 1 , 0 , 1 , . . . . Assume that equation (19.1) is such that the following conditions are satisfied: 1°. The functions Oi3(t) ( i , s = 1 , 2 , . . . ) are continuous in Moreover, for any finite segment T\ = [a, b] C T , 00 M(t)|| Tl = sup J ] max | i
s=l
t e T l
197
aia(t) \ <
t
for
t
e
Τ
$ [ a | b ] = const < 00.
=
R1.
Chapter 4
Impulsive Systems
198
2°. The matrices Bj ( j = . . . , — 1 , 0 , 1 , . . . ) are constant and bounded in the norm || · ||. Moreover, the matrices Bj + E, where Ε is the identity matrix, are invertible and the inverse matrices (Bj + E)~l are bounded. 3°. The pulses are separated in time, i.e., Tj+ι — Tj > c — const > 0 ( j = ...,-1,0,1,...). Then for any point (xo, ^o) in the domain D — ΤΙ χ T, there exits a unique solution χ = X(XQ, t), XQ — X(XQ, to) of equation (19.1) extendable to the entire segment Τ. Furthermore, for t > to, equation (19.1) is equivalent to the equation t x(t,xo)=xo+
Α(σ)χ(σ,χο)άσ
+
to
^ Bjx(rj ί0<τ,·<ί
— 0,xo).
(19.2)
The existence of the fundamental matrix of solutions of equation (19.1) readily follows from conditions l ° - 3 ° if we prove that the matrizant X(t,to) of this equation is bounded in the norm || · || . For this purpose, we assume that the times of pulses are arranged in the segment T\ as follows: a < Tj_i < ... < Tj-2 < Tj-1 <
Tj < . . . < Tj+k
< Tj+k+1
< . . . < Tj+a
< b
and split the segment [a, b] into 5 + 1 + 2 intervals. For the sake of definiteness, an we assume that ίο £ (Tj-i>Tj] d t G (Tj+k, Tj+k+1). Then X(t,t0)
= U(t,Tj+k)(E
+ Bj+kW^j+^Tj+k^)
...(E
+
Bj)U(Tj,t0),
where U(t, r ) is the matrizant of equation (19.1) without pulses, i.e., for Ax = 0. For t lying to the left of to, e.g., for t Ε (Tj_i,Tj-i+1], we can write X(t,t0)
= U(t,Tj_l+l)(E x...x(E
Bj-l+1)-lU(Tj_M,Tj_l+2)
+ +
Bj-i)-1U(Tj-1,t0).
This yields IIX(t, io)|| T l < exp{* [a>fc] (6 - a)(k + 2)} . max t £
(Tj+k,Tj+k+1],
||£7 + ^ H ^ 1 ,
Section 19
Some Results of the Theory of Linear Systems
||Χ(ί,ί0)||Τι<βχρ{ΦΜ](6-α)ί}. t G
\\(E + 5 , ) " 1 \\l
max
199 \
(Tj-^Tj-i+i],
Note that the constants on the right-hand sides of these inequalities are positive. Since the number of analyzed intervals from T\ is finite, there exists a constant 0 < K° < oo such that l|A-(t,to)|| Tl
V i e T
i-
Definition 19.1. A matrix L(t) is called a Lyapunov matrix if it satisfies the following conditions: (i) it is piecewise continuous on the segment Τ and has discontinuities of the first kind at the points Tj ( j — ..., — 1,0,1,...); (ii) it is invertible on T, continuously differentiable on the set Τ \ {Tj}, and such that maX{||L(i)||ri;||L-1(t)||Tl;||^L(i)||Ti}
= Py,
y G Μ,
(19.3)
where Ρ is a constant matrix from the space B, in the Lyapunov sense if there exists a Lyapunov matrix L(t) such that any solution χ = x(t) of equation (19.1) can be represented in the form x(t) = L(t)y(t), t e T, where y(t) is a solution of equation (19.3). Let us now prove an analog of the Erugin theorem for impulsive systems of equations. Theorem 19.1. Equation (19.1) is reducible to an equation of the form (19.3) in the Lyapunov sense if and only if its fundamental matrix X(t) can be represented in the form X(t) = L(t) exp{Pt}, where L(t) is a Lyapunov matrix.
200
Chapter 4
Impulsive Systems
Proof. Assume that there exists a fundamental matrix X(t) such that X(t) where L(t) variables
=
of equation (19.1)
L(t)exp{Pt},
is a Lyapunov matrix. In equation (19.1), we perform the change of χ =
L(t)y,
where L(t) = X(t)e~pt
and the function y(t) is such that, on every finite segment dy{t) Τι C T, the quantities ||y(i)|| and are bounded by constants Pi and P2 dt dependent on T\. Then
This yields ±(X(t)exp{-Pt})y
+ X(t)exp{-Pt}^
= A(t)X(t)
exp{-Pt}y.
The fundamental matrix X(t) is bounded in the norm || · || ^ for anyfinitesegment T\. Therefore, this is also true for ^ ί ί ΐ . i n this case, we arrive at the equations dt X(t) e
x
p
+
^
exp{-Pt}y
= A(t)X(t)
- X(t)
exp {-Pt}y,
ΔΧ(ί)|ί=τ.βχρ{-Pr^yirj) = Ρ,Χ(τ,) Since X(t) have
exp{-Pt}Py (19.4) εχρ{-Ρτ5}υ{τό).
is a fundamental matrix of the system of equations (19.1), we ^ § = A(t)X
for
t*TJt
^X\t=Tj—
BjX.
By using these equalities, we represent system (19.4) in the form (19.3) because the second equation in system (19.4) is identically satisfied for all y(t) G SOT. It is clear that the solutions of the last equation from the space ÜJI are bounded together with their derivatives in the norm || · ||Ti for any finite segment T\. The proof of necessity repeats the corresponding part of the proof of Theorem 14.1.
Section 19
Some Results of the Theory of Linear Systems
201
Remark 19.1. In the case where a matrix Φ(ί) that reduces equation (19.1) to an equation of the form (19.3) is not a Lyapunov matrix, one can also find a fundamental matrix X(t) of equation (19.1) such that X(t) = Φ(£) e x p { P i } . Indeed, let y(t) = y(t, to,y°) be a solution of equation (19.3). We also consider the solution of equation (19.1) χ = x(t, to, Φ(£ο)ϊ/ 0 )· There exists a solution y(t) of equation (19.3) such that x(t, to, Φ(£ο)ϊ/ 0 ) = ${t)y(t). At the same time, for t = to, we have Φ(to)y 0 = $(to)y(to) and, in view of the invertibility of the matrix Φ(ί), we have y° = y(to). This means that y(t) — y(t) identically on Τ and, hence, for any solution y(t) of equation (19.3), the quantity is a solution of equation (19.1). At the same time, for any solution y(t), we have y(t) = ePtc, ceWl. Since (*(t)ept)c
=
(t)(eptc),
we conclude that any solution x(t) = (Φ(ί)ε Ρ ί )ο =
X(t)c,
i.e., X(t) is a fundamental matrix of equation (19.1). Let us now present an analog of the theorem on reducibility (Theorem 15.1) for differential equations with pulses of the form dx — = A(t)x,t^Tj, where A(t) such that
Αχ\ι=τ
= Βιχ(τι-0),
(19.5)
is an ω-periodic matrix and one can always find a natural number ρ Bj+P
= Bj
and
Tj+P
= tj +
ω
for all integer j\ the times of pulses are enumerated as follows: to < T\ < . . . < τρ < ω + to. In addition, equation (19.5) satisfies the same conditions as equation (19.1). The truncated equation corresponding to equation (19.5) has the form
dt
("). ,(n) . = A(t) χ , t φ Tj,
(n). Δ x \t=T.=
0?) (n) Bj χ (rj - 0).
(19.6)
It is known [SaP3] that, for any natural n, the finite-dimensional equation (19.6) is reducible. At the same time, no direct analogs of the Floquet-Lyapunov theorem can be formulated for equation (19.6) in the infinite-dimensional space.
Impulsive Systems
202
Chapter 4
Without loss of generality, we set Τ — [to, +00) and enumerate the times (n)
of pulses Tj by natural numbers 1, 2, 3, tion (19.6) satisfies the relation (η)/ ^ xit,x°,to)
\
^ = x°+
The solution χ (t,
f(n) (n)/ Α(σ) χ
to) of equa-
\ (σ,χ°,tojda
to
+
vΣ
(n fc>(»)/ n \ Bj χ \ Tj — 0, χ ,toJ.
(19.7)
t0
Below, we present the statement of Lemma 2.1 from [SaP3]. Assume that, for t > to, α nonnegative piecewise-continuous function satisfies the inequality
u(t)
t
u{t)
ίυ{τ)η(τ)άτ+ ί
£
ßju(rj),
(19.V)
t0
where c > 0, ßj > 0, υ (τ) > 0, and Tj are the discontinuity points (of the first kind) of the function u(t). Then the function u(t) satisfies the inequality t
u(t)
(1 + ßj) exp{ f v ( r ) d r } .
Π to
I
In what follows, this assertion is called Statement 19.V. First, we prove the following auxiliary fact: (n)
Lemma 19.1. The sequence { χ } contains a subsequence that converges to the solution x(t,x°,to) of equation (19.5) uniformly in the coordinates on each segment [to, n], fa-i, Tj] ( j = 2 , 3 , 4 , . . . ) . Proof. By using (19.7), we obtain the following estimate for the sequence { χ } on the segment [to, τχ]:
\x
<
®φ{Φ[ίο,τι](τ·ι - to)} = Ko.
Some Results of the Theory of Linear Systems
Section 19
203
Further, in the segment (r, , r J + i ] , we get t
(n)
*[t0,Tj+l]\\{x\a)\\da
+ J
<
ίο +
Σ H-Bfcll \fx\rk 1
-0)||,
whence, in view of Statement 19.V, we conclude that (n)
<
(
ι ;'ι
exp{^(f0iT.+l](rj+1-io)}
Π (1 + P * I I ) 1
= Kj = const < oo. (n)
This means that the sequence { χ } is uniformly bounded in each segment [ίο, τϊ], (tj, Tj+i] (j = 1 , 2 , 3 , 4 , . . . ) . Moreover, as follows from the inequality *2 (
(
j
l
Ι ϊ>'(ii) - x\t2)W < I J \\ Α (σ)|| \\{χ\σ)\\άσ\ < Φ [ ί ο , τ , + ι ] ^ ti, t2 G (Tj,Tj+1]
\h-t2\,
(j = 0,1,2,...),
where to = to. this sequence is equicontinuous on each of these segments. In this case, on the segment [ίο,τι], we select a convergent subsequence (αχ) (c*2) (a s ) (n) (n) x\ , x\ ,...,
x\ , . . . of the sequence { χ } (of the first coordinates of χ ). In
the sequence of the second coordinates
^X2 , • · ·,
vergent subsequence ^x 2 , ^2 , · · ·,
This process is repeated infinitely
,
· · ·, we select a con-
many times. By using the procedure of diagonalization, we select a subsequence »JC y X ) mC ) j · · · of the sequence { χ } that converges uniformly in the coordinates on the segment [ίο, τ"ι]· This subsequence is denoted by Further, we consider the segment (τι, r 2 ] and the sequence { χ } defined on this segment. Acting in exactly the same way as above, we select a subsequence of this sequence uniformly convergent on this segment with respect to the coordinates. We repeat this procedure infinitely many times. As a result of the (*) procedure of diagonalization, we arrive at a subsequence { χ } of the sequence
204
Impulsive Systems
Chapter 4
(η)
{ χ } that converges uniformly in the coordinates on each segment indicated in the conditions of Lemma 19.1 to a function z(t). Moreover, it is clear that z(t) e Wl for any t eT. It remains to prove that z(t) = x(t, x°, to), t G T. We fix an arbitrary value of t e Τ and denote a segment containing to and t by [to, b] = T2. Clearly, dxj(t) dt
a
=
3
a(s)i Y ^b ) x( s VT i It=r, = ik ( i ~ °) · fc=l
T
Ax
ik(O * W> * Φ i.
Jk=l
If we now set aik(t)xk(t) !kk(t)xl(t)
<
= 0 for k > s, then we get E l i i W H I ^ W H ^ E M * ) ! fc=l fc=l
2
k=1
This enables us to use Lemma 12.1 because the sequence a^k(t)xl(t) uniformly in t e T2. Indeed, a>ik{t)zk{t) -
a-k{t)xl{t)
<
<
Zk{t) -
xl{t)
\\m\\T2 Zk{t) -
xl(t)
|aifc(t)
converges
and Xk{t) —<> Zk(t) uniformly in t e T2. Thus, we get
dt
dt
fc=l
for t φ Tj, t e T2. Finally, we obtain (s) lim Axi = lim
3
bW (s) x
ik k(rj - 0) =
fc=l
°°
b i k z k (Tj - 0), fc=l
which completes the proof of Lemma 19.1 because z(t) is a solution of equation (19.5) and z(to) = x°, whence z(t) = x(t,x°,to) for all t e T2, including the fixed value of t.
Section 19
Some Results of the Theory of Linear Systems
205
Let L be a matrix reducing equation (19.6) to an equation of the form d^y ~ t
(") (n) = P
y
(19 8)
-
·
The following theorem is true: (n)
Theorem 19.2. Assume that the sequence of matrices \L(t)} that reduces the truncated equations (19.6) to equations of the form (19.8) and the sequence (n)_ of inverse matrices { L *(£)} are uniformly regular on each segment [io>ri]> (n) _ (n) (ti,t2], ... and, furthermore, the sequence { Ρ } is regular. Then lim Ρ = Ρ η—κχ> (η) and lim L (t) = Lit) in the weak sense and equation (19.5) is reduced to an n—*oo
equation of the form (19.3) with the help of the limiting matrix L(t). Proof. Let t\ be an arbitrarily large fixed value of t. We denote To = {[ίο, Τι], ( τ ι , τ 2 ] , . . . , (τΐ-ι,τι], (τι, ti]}, where η (i = 1 , 1 ) are the times of pulses lying in the segment [to, ii]· Let χ — x(t,xο), χ(ίο,ζο) = xo £ be a solution of equation (19.5). (η) (η), (η), (η) . (η). (η) By virtue of Lemma 19.1, the sequence χ = χ (t, zo), £ {to, £o) = xo, of solutions of truncated equations of the form (19.6) always contains a subsequence (r) (r) { x (t, xo)} that converges to x(t, xo) (uniformly in the coordinates) on every segment from the set To. For each number r, there exists a reducing matrix L (t) such that the change (r) (r) (r) of variables χ (t) = L (t) y (t) reduces the truncated equation (19.6) of order r to an equation of the form (19.8) with n = r. This means that there exists a solution y (t) of equation (19.8) (with n = r) such that, on every segment from the set To, we have (r) (r) (r) x (t, xo) = L(t)y (t). (r)
Let us show that, on every segment indicated, the sequence { y (t)} converges uniformly in t in the weak sense. (n (")- 1 } (r) W (r) Denote L ( £ ) = [l^1 {t)]°°=v Since y(t) = L _ 1 ( i ) χ χ (t,x0), the sth (r) coordinate of the vector y (t) has the form
Impulsive
206
Μ
Systems
Chapter 4
oo (r)
.
..
t=l (Τ)
(r)
(Γ)
where Q 1 (t)xi (t,xο) should be set equal to zero for i > r. At the same time, —
( r ) u (r) (r) x (t, x0) — x0 +
f (r) (r) (r) / Α ( σ ) χ (σ, xo)da J
+
^
£) (r)
* —
to
(r)
Bj χ ( t j - 0, xq),
toKTjKt
whence it follows that iSV.S)!!
<
I M
+ J
\\Α(σ)\\\\{Γχ\σ,{χ]ο)\\άσ
to
+
Σ
ιΐΒ,-ιι
ι ι ^ - ο , έ ώ ι ι .
t0
By using Statement 19.V, we conclude that ll(i(i,S)ll
<
boll
Π (ι + 1 <j
ΙΙ^·||)βχρ{ΦΜι](ίι-ίο)}
= Ct0 = const < oo for any t e [ίο, ίι]· Then oo (r)
,.
,.
i=l
oo (r) t=l
where the series on the right-hand side converges uniformly in t and r for any segment from the set To- According to the condition of the theorem, the sequence {L 1(t)} is uniformly regular on each segment indicated and, hence, it uniformly converges on each of these segments in the weak sense to a matrix denoted by By virtue of Lemma 12.1, sequence (19.9) converges to a function y9(t) uniformly in t on every segment from the set To that does not contain the times of (r) pulses. The required statement is proved. We also have { y } —> y(t) weakly for t e To and, in addition, y(t) =
L~l{t)x(t,xo).
Section 20
Integral Sets and Invariant Tori
207
According to the condition of the theorem, the sequence of matrices { L (i)} converges to a matrix L(t) and, hence, x(t, xo) = L(t)y(t). It remains to show that y(t) is a solution of equation (19.3), where Ρ = (r) lim Ρ in the weak sense. This fact is proved in exactly the same way as in r—>οο Theorem 14.1. Note that, for every solution x(t, XQ) of equation (19.5), one can indicate,
(3) generally speaking, its own sequence { χ (t)} of solutions of truncated equations of the form (19.6) that converges to this solution in the weak sense. Therefore, for every solution x(t) of equation (19.5), one can indicate its own sequences (») Μ (s) { L (i)} and { P } corresponding to the subsequence { χ (i)} that converges to x(t). However, any subsequence of a regular (uniformly regular) matrix sequence is regular (uniformly regular) itself and weakly converges to the same limit. This means that, for all solutions x(t) of equation (19.5), the reducing matrix L(t) and the matrix Ρ in equation (19.3) are identical and coincide with the matrices specified in the conditions of the theorem.
4.20. Integral Sets and Invariant Tori Consider a system of equations ^
=
^y\t=tj
^
= Α(φ)ν
+ ο(φ)
for
t^tj,
(20.1)
U = • • • >-i.o.i,···),
= J M M )
where φ — (φι, ψ2, • · •) £ 9H, y = (yi, j/2, · · ·) € the matrix Α(φ) and the functions ο(φ) and ^(φ) belong to the space C°(!F,χ) for all integer j, α(φ) e C U * » ) , and φ = ψί(φ)
is a solution of the equation
μ
= α(φ) such that at
φο(φ) = φ G -Foe-
7
Assume that the matrix A = [otsiv )]^^ satisfies the inequality oo ^ sup I aie(
(i = 1 , 2 , . . . )
(20.2)
and the times of pulses are separated, i.e., for all integer j , tj+i - tj > Θ, where θ is a real positive number.
(20.3)
Impulsive Systems
208
Chapter 4
Definition 20.1. A set Γο(ί): y = u( ψ, t) is called an integral set of the system of equations (20.1) ifu(ip,t) is a function bounded in the norm || · || and such that y = u(?t (φ), t) is a bounded solution of this system, i.e., = A(
= Μφφ))
The sum of the series 0ι =
( j = · · ·, - 1 , 0 , 1 , . . .)•
Σ fi(t) is determined as the sum of the —oo
following two series: oo 02 = £ / i ( t )
and
oo 03 = £ / i ( i ) ,
t=l
*<0>
-i=0
provided that they are convergent for the corresponding values of t. It is clear that the sum θ\ does not depend on the point at which the series θ\ is split into two parts. We also say that the series θ\ converges uniformly in t if this is true for the series 02 and 03. We now prove the following assertion:
Theorem 20.1. Assume that conditions (20.2) and (20.3) are satisfied for the system of equations (20.1) and || Jj(i/?)|| < J — const < oo for all integer j. If the Green function Go (τ, φ) of the problem of invariant tori for the equation dy — = AUpt)y exists and satisfies inequality (10.5), then system (20.1) possesses at an integral set Γο specified by the formula oo
«(v.0
= J ^ο{τ,φ)α(φτ{φ))άτ -OO
+
G0(tj - t, φ) Jj(
where u{ip, t) is a function 2ir-periodic in ψ{ (i =
1,2,...).
Proof. Under the conditions of the theorem, the system of equations (20.1) possesses a unique solution defined on the entire real axis for all initial values
y(t,
f Gt(T,
-oo
Gt(tj, φ)^(φφ))
(20.4)
Integral Sets and Invariant Tori
Section 20
209
specifies a family of bounded solutions of the system of equations (20.1) dependent on φ (regarded as a parameter). We consider a series Σ
(20.5)
— 00
t€
zi
=
Σ — O O
Z2= Σ GtfaMjfajfr)), tp
(t ,
H^U < Σ JKexp{-y(t-tj)} —ex
<
i-v < JKexp{—"ftp}
χ (exp{7ip} + exp{7(ip - 0)} + exp{7(ip - 20)} + . . . ) -
J K
1 — exp{—70}' ||Z2||
oo Σ
<
JKexρ{7ίΡ+ι}
<
J Κ exp{7ip+i} ( e x p { - 7 i p + i } + e x p { - 7 ( i p + 1 + 0)}
ex
j=p+1
P{-7*;}
+ e x p { - 7 ( i p + 1 + 20)} + . . . ) -
J K
1 — exp{—70}
210
Impulsive Systems
Chapter 4
These inequalities prove that the series Z\ and Zi are uniformly convergent on the interval (t v , £ p +i). Thus, one can easily show that the series
—00
tp+1).
Indeed,
\\z*\\ = — 00
e Σ ^ p { - l \ t - t j |}, —00
and we arrive at the case analyzed above. dy By ιusing Theorem 7.1, we can write the following formula for — (valid for dt t φ tj):
Tt
=
it
I
G
t(T,
Σ 00
GtitjMJiifPtM)
oo = Α{ψι{ψ))
+
J Gt(T,
+ c(
Σ —00
= Μψι{φ))ν{ί,
ψ) + c{ipt{
Hence, the function specified by relation (20.4) satisfies the first equation in (20.1). Let us show that this function satisfies the second equation of this system for any integer j . For definiteness, we fix the value of j . We have
Section 20 Ay
211
Integral Sets and Invariant Tori
t=t,· oo =
/ Gt(r,
=
Σ
t=ti
Gt(t*,
t=ti
Gt(tj,(p)\tsstjJj(v>tj(
=
= Jj{
These relations show that the function given by relation (20.4) satisfies the second equation of system (20.1). We also have
where ||c(?)|| < C° = const < oo. Consider the formula oo
+
Σ —00
-tiVtivWjtoi-t&tiv)))
oo
=
J Gt(r, φ))ο(φΤ(φ))άτ -oo
+
Σ ^ , φ ) ^ ( φ φ ) ) . -oo
Its right-hand side coincides with the right-hand side of (20.4) and, therefore, ω(>t(<£>), t) = y(t, φ). Moreover, the function ιι(φ, t) is bounded in norm. We now consider a system of equations of the form
Μψι^Μ,Φ)) where φι is a scalar, φ = (φι,φ) of the equation
{j = • • •> - 1 . 0 , 1 , . . . ) ,
(20.6)
= (φι, φι, ψ3, · • ·) G 9JI, tj(φ)
is a solution
Impulsive Systems
212
Chapter 4
φι^ψ){φ) = Ψ ^ \
(20.7)
and φϋϊ are real constants. In what follows, we study integral sets of the system of equations (20.6) generated by functions independent of t.
Definition 20.2. A function h = u(
Lemma 20.1. Assume that all conditions of Theorem 20.1 except inequality (20.3) are satisfied for the system of equations (20.6), the function α(φ\,ψ) = {αι(φι,ψ), a,2(φι, φ),...} satisfies the inequality α ι ( ν ΐ ) Φ) > Οίο = const > 0,
the constants φ^ are such that 0 <
< φ^
< ... < φ^
(20.8)
< 2π, and
φ(ί+ρ) = φ(ί) + 2π
(20.9)
for j = 0, ±1, ± 2 , . . . . Then the function u( 0 such that inequality (20.3) holds for all integer j . This enables us to write
oo
= J Gt(T^)c&r(
(20.10)
The fact that this relation is a bounded solution of the system of equations (20.6) is proved by analogy with the proof of Theorem 20.1. Substituting ψ - ί ( φ ) for φ in equality (20.7), we obtain
ntil*_tMy{
= fU)
U = • • ·,-i,o,ι,...)
Section 20
213
Integral Sets and Invariant Tori
Consider the function oo =
+
J Gt(Tt_t(v»))
It is easy to see that this function specifies an integral set of the system of equations (20.6) because u(ipt(tp), t) takes the form (20.10). We now consider a special case of the system of equations (20.6) obtained by setting αι(φ\,φ) = αι(φι). The system of equations obtained as a result is denoted by (20.6°). We fix an arbitrary value of the parameter ψ\ and denote the set of all vectors φ = (φι, ψ) e 971 whose first coordinate is equal to φ\ by G((p\). It is clear that the times of pulses tj (φι) are identical for all values of the parameter φ e <2(<£>i). In this case, the function oo η(φ\,·ψ,ΐ)
=
J —oo
Ο0(τ,φ)ο(φτ(φ))άτ
+
G Σ o(tM) —oo
-
specifies an integral set of the system of equations (20.6) for all φ (Ξ 0 ( φ ι ) . Moreover, for any fixed φ \ , this function specifies its own integral set periodic in φ with period 2π. In particular, if α ι ( ^ ι ) = ω = const > 0, then y>i_t = φ\ — ut and tj(
(20.11)
Then the system of equation (20.6) possesses the invariant torus T'.h φ Ε J~<χ» where
—
214
Impulsive
Chapter 4
Systems
η(ψ)
oo = J Go(t, φ)β(φτ(φ))άτ+ -oo
£ -oo
φ)[3ό{φ)]ψ1=ψ(ί)·
(20-12)
Proof. Let ψ —
«(¥*(*)) = /
G0(T,MO)c(MMO))dT
—oo
-oo
Since Vt^twivtte))
we conclude that tj(ipt(0)
=
=
φω,
+ t = tj(£). Hence, oo
=
J —oo
Gt(r,$c(<pr(())dT
+
Σ -oo
GtoieuwfaAc)®)·
This expression is a bounded solution of the system of equations (20.6) and has the same form as (20.10). Let us show that ιι(φ) is a function 27r-periodic in ψ{ (i = 1 , 2 , 3 , . . . ) . Since Vit,(*+**)(¥> + 2ΤΓ) =
+ 2π =
we obtain =
-
2 π
= ψυ~ρ)
and, therefore, tj{(p + 2n) =
ij-pM·
=
Integral Sets and Invariant Tori
Section 20
215
Further, by using condition (20.11), we obtain u(ip + 2·7γ)
oo = J G0(T,
+
G Σ o(tj(
2π)]φι+2η=φω
oo = J
+
G0(T,
G
Σ —00
o(tj-p((p),
This competes the proof of Theorem 20.2. Finally, we consider a system of equations ^ =
ω
+
μα(φ),
^
= A{
(20.13)
Hk{
(20.14)
subjected to a pulse action obeying the law
where y e ÜJI, ψ € Rm,
ω = (uh...
tu,m)
< Ψ ) e Cgip(^m), c(v?), A(^), Hfc(^) €
e Rm,r
= ( n , . . . ,r TO ) e m (r, v?) = Σ W , μ is a
positive parameter, and k = ...1,0,1,... . Assume that the matrix Α(φ) satisfies condition (20.2) and \\Ηι<:(φ)\\ < Η = const < oo for all integer k. The surface T \ H = η(φ), ψ £ is an invariant torus of the system of equations (20.13), (20.14) if the function η(φ) is 27r-periodic in ψι (i = 1, m), bounded in the norm || · ||, and such that the following equalities are true for all t G R1: = Α(φί(φ))η(φί(φ)) Δν{φ^{Ψ){φ))
= Hk(iptk{lfi)(
+ cfaitp)),
t φ
tk(ip),
{k = . . . , - 1 , 0 , 1 , . . . ) ,
216
Impulsive Systems
Chapter 4
where tk( 0 m and ri > 0 for all i — 1 , m, φ £ 9Jim, Σ r* = p, where ρ is an integer i=l number, and (ω, r) > 0. I f , in addition, Hk+P(ip) = Η^{φ) for all integer k, then the system of equations (20.13), (20.14) possesses an invariant torus Τ for all 0 < μ < μ°, where μ° is a sufficiently small positive constant. Proof. We choose an arbitrary solution ψ = ψι{ψ) of the first equation in system (20.13). Let t = tk{
(20.15)
For each integer k, this equation has at most one solution. Indeed, assume that {r, ¥>tfco (φ)) = 2πfc, where tko ψ tk. Then (r,)(tk - tko) + (r, J α(φ3(φ)) ds) = 0. Since (r, ω) > 0, one can easily see that the last equality is possible only for tk = tko· Clearly, tk((p) is a solution of the equation
κ
»
»
)
=
-
r
tk(lfi)
i^)( · I
For this solution, we construct the following iterative process:
<20·16'
Section 20
Integral Sets and Invariant Tori
We set ||a(v?)|| <M
— const < oo and μ° =
Mm\\r\\
217
,. By induction, for all
μ < μ°, we prove that wmjH[M
Λη)
( n _i)
h
1-
μτη\\τ\\Μ/(ω,τ)
12fc7T — (r, ψ) I (ω,τ) — μπι\\τ\\Μ' Further, we get Μ-1)
|*£->-t<—«I <
<
I
MvAvW)
μτη\\τ\\Μ t(n-l) _ t(n-2) k k (u>,r)
< ... <
(n-l)
(μτη\\Γ\\Μ\
V
(ω,ν)
J
//im||r||M\n ~ V (ω,τ)
J
(μπι\\τ\\Μ\η \ (ω,τ) J
2 kn — (r, φ) (ω,τ)
/xm||r||M 1, the sequence { ^ ( y ) } is uniformly convergent as π —> oo. {ω,τ) Denote lim t^ = tk{
Since
tk+i(
=
2
{ω, τ)
tk+1
~
J
{ω,τ)
a
(v*(
218
Impulsive
Chapter 4
Systems
For tk+1 - tk > 0, this yields 27Γ
which proves that the times
are separated. For tk+\{φ) <
(α;,r>
V
(w.r)
/
i.e., we arrive at a contradiction. Thus, ijfc+i(y?) > tk(
η{φ)
=
J
G0{τ,ψ)ο{ψτ{φ))άτ
—oo
,φ)=2π fc) —oo
oo y(t>
=
J
Gt(T,
—oo +
G
Σ -oo
t{tk(
The fact that the functions η(φ) and y(t, φ) are bounded in the norm || • || is proved in exactly the same way as in Theorem 20.1. By analogy with Theorem 20.1, we can easily prove that ^
^
-
= A(
Ψ) + <ψι{φ)),
φ)\t=tk()(
'
u(ipt(φ))
= y(t,
φ)
and
t Φ
tk(
(fc = . . . , - ι , ο , ι , . . . ) . η(φ)
is a function 2π-periodic in
l,m).
Substituting ( ^
φ ι
(
Ψ
for φ in (20.15), we obtain
) ) ( Μ ψ ) ) , ή
= (
nk.
Section 20
219
Integral Sets and Invariant Tori
This implies that tk{
+ t = tk(
and, hence,
oo =
J
Go{T,
—oo
-OO
oo =
J
Gt(T,(p)c(tpT(tp))dT
—oo
Σ
+
°Λ^(ψ),ψ)Ηιί(φί^φ)(φ))
= y(t,cp).
-°°<*fc(v>t(v))
Further, we have
=
(<^(¥>+2π)Μ, Γ )
+ (2π, r) = 2irk,
whence it follows that m
(
Therefore, η{φ +
+ 2π) =
= 2wk - 2nJ2ri
i=1
=
2n(k
- p)·
However, in this case,
2π) oo
= J Οο(τ,φ + 2π)ο(φτ(φ) —oo +
Σ —oo
+ 2π)άτ
Go(tk(cp + 2π),φ
+ 2n)[Hk((p
+
2π)]{Γφ+2ΐΓ)=2πΙί
220
Impulsive Systems
=
J —oo
Chapter 4
G
o[τ,φ)ο(ψτ(φ))άτ
-00
= α(φ1,φ),
^ = Α(ψι,φ)ν
+ ο(ψι,φ,ν,μ),
t^tj((p),
Jj(Vt(
(20.17)
where, for ||y|| < d and μ G [0, μο] (μ is a positive parameter), we have Α(φ), ο(φ,ν,μ), Jj(φ,ν,μ) G C°(Too), α(φ) G C ^ ^ ) , Μφ,ν,μ)\\ < c° = const, and || Jj( 0,0) = Jj(
-
Jj(tp,y,fi)||} + £\\μ-μ\\,
(20.18)
where ||?/|| < d, μ G [Ο,μο], £ = const > 0, and Ν(ά,μο) —• 0 as d —• 0 and μο —> 0. Moreover, for any fixed 0 < do < d, the function Ν (do, μ) increases on the segment [0, μο]. Then there exists μ° G (0, μο] such that, for all 0 < μ < μ°, the system of equations (20.17) possesses an invariant torus T:y = η(φ,μ), φ G Too, such that \\u(ip, μ) || —» 0 as μ —• 0.
221
Integral Sets and Invariant Tori
Section 20
Proof. Consider a sequence of functions {ϊ/ ι+1 )(?, μ)} (i = 0 , 1 , 2 , . . . ) specifying the invariant tori of linear systems of equations
&y\t=tj
{φ)
= Jj (v?t (φ), u[i) {φι (φ), μ), μ) ι t=tj (φ) {j = ...,-1,0,1,...).
The function ν,(°\φ, μ) = 0 G 9JI is taken as the initial approximation. Denote Ζ(ά,μο) = Ν(ά,μ0)d + £ μ 0 . It now follows from (20.18) that \\ε(φ,υ>μ)\\ < Ζ ( ά , μ 0 ) and \ \ ^ ( φ , ν , μ ) \ \ < Ζ ( ά , μ 0 ) , where Ζ ( ά , μ 0 ) 0 as d 0 and μο —> 0. Here, ||y|| < d and μ < μο· Note that Theorem 20.2 can be applied to the linear system (20.19) and, thus, the invariant torus = υ,(ι+1\φ, μ), μ £ Fao, exists, the function μ) has the form oo χι(ι+1\φ,μ)
=
J —oo
+
Ο0(τ,φ)ο(φτ(ψ),η^(φτ(φ),μ),μ)άτ
Σ ^Ο^,φψΜη^ίψ,μ)^)]^^), —00)<00
(20.20)
and the function
oo 0ι{τ,φ)ο{φΤ,η<·ι){ψΤ,μ),μ)άι
= j
+
Σ —oo
GtitjW^tivWjiVtiM^^iVtiM^)^)}
is a bounded solution of this system dependent on φ and μ (regarded as parameters). Let us show that, for all i = 0 , 1 , 2 , . . . , we have I
^
W
)
«
^
.
^
^
^
)
,
(20.21)
222
Impulsive Systems
where
2Κ /»-ί5.[ι
+
-
7 L
?
Chapter 4
1.
1 —exp{—70}J
Indeed, in view of representation (20.20), we obtain oo ll«(1W)ll
<
/
Κ*χρ{-Ί\τ\}\\ο{φτ,0,μ)\\<1τ
+
Σ Ä-exp{—y I τ7· | } | | / i ) | | — 00
provided that μ) < 1. Assume that inequality (20.11) is true for i = 0 , 1 , 2 , . . . , fc — 1. Let us show that it is also true for i = k. Indeed, i«(fc+1W)ii < ||« ( f c + 1 ) (v, μ) - ν{1)(φ, μ) II \\η{1){φ, μ) || oo < J Κβχρ{-Ί\τ\}Ν(ά,μ)\\ν,Μ(φτ,μ)\\<1ι
+Ν(ά,μ)
Σ Κexp{~7 — 00
2Κ
+
βΖ(0,μ)
ß ΊΚ
+ Ν
\ tj \ }\\η^(φ,μ)\\
β
<* ^1-βχρ{-7*}1
+
ß
1 — ßN(d, μ) :Ζ{0,μ). We choose μ° < μο and do < d so that βΝ(άο,μ°)<
1
and
χ
_ β^μΟ)Ζ(0,μο)
< do.
(20.22)
Section 20
223
Integral Sets and Invariant Tori
This can always be done because N(d, μ) —> 0 as d —> 0 and μ —* 0, Z(0, μο) —> 0 as μο —> 0. and the function Ν (do, μ) increases with μ. Thus, by induction, we conclude that inequality (20.11) is true in the domain D-.ψ £ //|, < do, μ G [0,μ°], i.e., the sequence of invariant tori of the linear systems of equations (20.19) is uniformly bounded by a constant do < d. Let us show that this sequence converges as i —• oo uniformly in φ. Indeed, we have
oo Κβχρ{-Ί\τ\}Ν(ά,μ)\\η^(φ,μ)-η^-ί\φ,μ)\\0άτ
< J —oo
+ΚΝ(ά,μ)
+
Σ
ι*31 } l l « ( f c W ) -
«^fodllo
—00
* f
+
Ρ) - « < ι " 1 ) ( * ' . μ)ΙΙο
where | | u ( f c ) ( ^ / . ) - n ( f c - 1 ) ( ^ / , ) | | 0 = sup
\\η^(φ,μ)-η^-1Ηφ,μ)\\.
φζΡαο
By using these inequalities and inequalities (20.22), we conclude that the sequence converges as i —• oo uniformly in the variables φ and μ G [0, μ 0 ]. We now denote lim φ,μ) = η(φ,μ) and prove that T\y = η(φ,μ), i—»oo φ £ ^oc, is an invariant torus of the system of equations (20.17). Since ^ + 1 > ( μ ) is an invariant torus of system (20.19), the following equalities are true: = Α(φι)η(ί+1\φί,μ)
Au
+ ο(φ^(
φ ί
,
μ
),μ),
t φ
tj(
( j = • • •, - 1 , 0 , 1 , . . . ) ,
224
Impulsive
Chapter 4
Systems
whence, for t φ tj(
= η^ \φ,μ)
+ J
μ) + ο(φ3,η^(φ3ιμ),μ)]
ds. (20.23)
ο By using the inequalities \\Α(φ3)η(φ3,μ)
+ c(
-[Α(φ3)η^+1\φ3,μ)
+ - η^+1\φ3ι
< α°\\η(φ3,μ)
ο(φ3,η^(φ3,μ),μ)} μ)\\ + £\\η{φ3,
μ) -
μ)\\
(20.24)
and choosing a number i such that, for all ψ e Too, IIν>{φ,μ)-υ^{φ,μ)\\ < min{JL; JL}, we conclude that, in this case, the expression on the right-hand side of inequality (20.24) becomes smaller than ε for all s € [0, t}. Thus, in relation (20.23), we can pass to the limit as i —• oo and obtain t
0 It follows from the continuity of Jj ( j = . . . , — 1 , 0 , 1 , . . . ) as functions of y that &u{
=
Um J j f a , uW(
μ), μ)
=
(j
=...,-1,0,1,...).
The last two representations demonstrate that the function y = ιι(φ, μ) specifies an invariant torus of the system of equations (20.17). Since lim ||uW(v?, μ)\\ = 0, we have μ—*0
μ)|| = .lim t—>οο
μ)|| ^ 0
as
μ
0,
i.e., for μ = 0, the system of equations (20.17) possesses the trivial invariant torus y = 0 due to the conditions imposed on Jj and c in the description of this system.
Section 20
Integral Sets and Invariant Tori
225
Let us now consider a quasilinear system of equations ^
=ω + μα(φ),
^ V)
= A(
(A: = . . . , - 1 , 0 , 1 , . . . ) ·
(20.25)
Here, we use the same notation as in the case of system (20.13), (20.14) and assume that system (20.25) satisfies the same conditions as the system of equations (20.13),(20.14) for ||y|| < d, μ e [Ο,μο], and φ € Tm. The function y = η(φ, μ) specifies an invariant torus of the system of equations (20.25) if it is 27r-periodic in ψ{ (i = l, τη), bounded in the norm || · ||, and satisfies the relations άη(φί(φ),μ)
μ ) + μο(φι(φ),
=
Δυ,{φι(φ),μ)\t=tk{lfi)=
u{
μΗ^φίΐΐ{φ)(φ),η(φ^{ιρ),
μ)),
t φ tk(
μ)),
(20.26)
where t = tk(
(20.27)
μ-*0
Proof. We construct an iterative process similar to that studied in Theorem 20.4. In this case, the role of the torus y — μ), φ Ε !Fm, is played by the invariant torus of the system of equations ^
=ω + μα(φ),
^
= A(
^y\(r>lfi)=2,k=
μ Η ^ η ^ ( φ , μ ) )
μ)), t φ tfc(y>), (20.28)
Impulsive Systems
226 obtained by setting
Chapter 4
= 0. Denote μ* =
^ . . , where Μ > 0 is the Mm\\r\\ same constant as in Theorem 20.4. Then, for 0 < μ < πιίη{μο, μ*}, we arrive at the following representation for the invariant torus
oo
ι+1
υ,( \φ,μ)
= μ J G0(s, tp)c(
+ μ
Σ
—OOCtfcCOO
μ)) ds
Μ<Ρ),ψ)[Η^Ψ,^\φ,μ))]{Γίφ)=2πΙο.
(20.29)
It remains to show that the sequence μ)} is uniformly bounded in norm by a constant d and converges as i —• oo uniformly in φ. Let us show that, for all μ satisfying the inequality μ < πιΐη|μο, μ*, we have
Cß.
μΜβ
(20.30)
where β is the same positive constant as in (20.21) and C is the constant from the Lipschitz condition with respect to y for the function ο{ψ, y). We have
oo
\η^(φ,μ)\\
< μΚΜ[ J e x p { - 7 | s | } ds +
-oo
< ϊ - + 1 — r= L7 l-exp{-70}J
£
-oo
v
pw
exp{-7|ifc|}]
< 1— τ μ£,β ^ ·
Assume that inequality (20.30) is true for i = 1 , 2 , . . . ,j. Let us show that it is true for i = j + 1. Indeed, \\^ί+1\φ,μ)\\ <\\^+1\Ψ,μ)-η^(φ>μ)\\
+
\\η^(φ,μ)\\
oo <
[/
ex
—oo
P { - 7 I 8 I }ds+
Σ
ex
— 00
P { - 7 \tk\}]+
μΜβ
Section 20
227
Integral Sets and Invariant Tori
Thus, inequality (20.30) is proved by induction. It is clear that the inequality μ*Μβ 1 -
μ*£β
< 1
holds for sufficiently small μ*. This inequality is also true for all μ < μ*. This means that, for μ < ιηίη{μο, μ*, μ*, "Tö }>
sequence
μ)} is bounded
in norm by a constant d. Let us show that this sequence converges uniformly in ψ £ Tm. Indeed,
oo
<μ£Κ
J
exp{-7|e|}||«W(^e^)-u«(^^)||de
—oo
+μ£Κ
ex Σ P{"7l — 00
tk I }||«ί0(^,μ)
"
t ^ W ^ I I
-2 + .7 1 —exp{—7Ö}. and, therefore, \\η^(φ,μ)-η^(φ,μ)\\0
< ^ ^ ( φ , <
μ)\\0
\μ£β]{μΜβ.
Since μ€β < 1, sequence (20.29) converges uniformly in φ and μ for μ < μ° <
(20.31)
The validity of the last condition is sufficient for passing from system (20.28) to system (20.26). For systems of equations (20.17) and (20.25), we now formulate an assertion concerning the behavior of these systems in the neighborhood of their invariant tori similar to Theorem 1.13 for system (12.37). dy Assume that the matrizant Ωί(φ) of the equation — = A(
Impulsive Systems
228
Chapter 4
Theorem 20.6. Assume that the system of equations (20.17) [(20.25)] is such that the conditions of Theorem 20.4 (20.5) are satisfied. Then, for sufficiently small μ, the trajectory of the solution yt = y(yo,ί,φ,μ), yo = (yo, 0, φ, μ), of this system is attracted ast +oo to the trajectory located on its invariant torus according to the exponential law. We prove Theorem 20.6 for the system of equations (20.25). We set 0 < μ < μ°, where μ° is specified by relation (20.31), and perform the change of variables
y = ν{νο,ϊ,φ,μ)
=
η(φί{φ),μ)+μχ(*,φ),
where the function ιι(φ,μ) determines the invariant torus T\y !Fm, of the system of equations (20.25). For xt = x(t, φ), we obtain the following system:
^
= A{tpt{
— ιι(φ,μ),
ψ £
c(¥*(y>),«My),/*))},
MikfoO,
Ax\{r ^t(ip))=2irk~ Hkift^itptif),
μ) + μχ) - Hk{(pt,u(
The solution of the system of(n) equations (20.32) is sought in the form of the limit as η —» oo of the sequence {xt, φ)} of solutions of the system of equations
»
dx —
, .An) At = A(
Λ
(
η
) |
= Η^Μ(Ρ)Μ(Ρί(φ),μ)
+ μ x ) - Hk(
(0)
obtained by taking χ = 0 e SPt as the initial approximation. The solution of the system of equations (20.33) has the form
(20.33)
Section 20 {x\t,T,ip)
Integral Sets and Invariant
Tori
229
= Ω£(ν>)®0
+J
{ψ) { ciV* (ψ), u(
ο -ο(<Ρβ(<Ρ)Μφβ(φ),μ))}ά3
ο
- Hk( f*))}·
(20·34)
/
We set δ(μ) = μ£Κ
-2 + 7
1 - « ρ { " Η
and denote by μ\ the value of μ such that β(μί) = 1- Let us show that, for μ e [0, μ\), the estimate ll*W)ll < r = ^
W e x p
{ ~ 2
i
} '
' -
0,
(20,35)
is true uniformly in η = 0 , 1 , 2 , . . . . Indeed, for t > 0, (t,
tf||xo||exp{-|i}
and, hence, inequality (20.35) is true for η = 1. Further, we assume that this inequality is true for all η = 2,3,... , j and prove its validity for η = j + 1. Since, for t > 0, Σ exp{-7(t-ifc)-^fc) < L Δ J 0
exp{-7V2}f>xp{-^0) 1 Z J 5=0 exp
H
4
1 — exp H » } '
Impulsive Systems
230
Chapter 4
we can write II O + l)/ . Ml II χ (t.vOII I <Ι|Ω5Μ|| Ml
+
\\rfM\\^w{i\s,
+ /
Σ ikmimizWYOII 0
χ < I e x p { - 7 ( i - s) .0
Κ£μ K\\x0\\eM-lt} 1 + 1 - 8{μ)
<
=
ds +
Ä )
ι | ϊ ο 1 1
e x p
{ - Η '
ί
] T e x p { ~ 7 ( t ~ h) ~ 0
(
^h}
2 -
+
7
ΐ - β χ ρ ί - ^ j
-°·
By induction, we conclude that relation (20.35) holds for all τι = 0,1,2, (η)
Let us show that the sequence { χ (t, ψ)} is uniformly convergent as η —• oo. We set Then H ^ W ) ι
-
< J Κ ο +
-
χ 1 (s, y>)|| <2s
Σ Ä " e x p { - 7 ( t - t f c ) } / : ^ | | ( ® (tfc,y>) - ^ ^ ( t f c , ^ ) ! ! o
< = II
-
- <"i'W)llo ψ) -
(n 1}
z (t,
+ ι — eXp{—·γ#} }
Section 21
Periodic Solutions for Impulsive
Systems
231
and, hence, I I ^ W ) -
(
x W ) | | < [-ι(μ)]ΊΙ^(ί,ν)ΙΙο·
Since si(/x) < β(μ) < 1 for μ £ [Ο,μί), this estimate means that the se(n)
quence { χ (t, φ)} converges uniformly in t e R+ in the strong sense to a function x(t,φ). The functions c(
μ) + μχ) and Hk(
+ μχ)
are obviously continuous in χ in the strong sense for all integer k, and the series 00 n ( )
Σ a,ij(ipt(
converge absolutely and uniformly in t for t > 0. This
3=1
enables us to pass to the limit as π —> oo in equalities (20.33) and show that x(t, φ) is a solution of the system of equations (20.32) for t > 0 and, in addition, Μί,γ>)11 < r = ^
I W e x p
{ ~ H '
t
-°·
(20,36)
Inequality (20.30) implies that ||ω(ν?,μ)|| is a monotonically decreasing function of μ such that \\ιι(φ,μ)\\ —• 0 as μ —> 0. Then, for any 0 < ρ < d, one can indicate a value μ = μ** such that μ)|| < d — ρ for any μ e [0, μ**]. Thus, we denote μ = πΰη{μ°,μί,μ**}. get
If we now return to the original variables and use inequality (20.36), then we \\Vt-u(tpt(
<
1
\\νο-η(φ,μ)\\
exp {
for all t G R+, μ 6 [0, μ), and ||yo — η{ψ, μ)|| < Ρ· This completes the proof of Theorem 20.6.
4.21. Periodic Solutions for Impulsive Systems with Small Parameter We consider a system of equations with pulse action dx — = ef{t,x),
Δζ|ί=ί. = ε Η ^ , χ )
t^tj,
0" = . . . , - 1 , 0 , 1 , . . . ) ,
(21.1)
Impulsive Systems
232
Chapter 4
where χ e SDT, / ( £ , χ) and Hj{t, χ) are countably dimensional functions periodic in t with period Τ (T-periodic functions) and defined in a domain D*: (t, x) eR1
x D = ( - 0 0 , oo) χ {χ € Μ \ ||x|| < R = const} ,
and ε is a small positive parameter. We pose the problem of finding a control (u\, guaranteeing the T-periodicity of the solution of the impulsive system of equations
— = ef(t,x)-uu A z | i = t . = eHj(tj,x)
t φ tj,
- U2
(j = ... , - 1 , 0 , 1 , . . . )
(21.2)
that takes a value χ = xq eWtfort = τ. For the function Hj and the times of pulses tj, we assume that Hj+d = Hj and tj+d — tj = T , where d is a positive integer equal to the number of pulses per period. It is also assumed that, in the domain D*, the function / ( £ , x) (a) is continuous in t, (b) satisfies the Lipschitz condition with respect to x, (c) is such that ||/(i, 0)|| < ρ = const < 00. Then, the Cauchy theorem on the existence and uniqueness of the solution χ = x(t, t, xo) of equation — = ef(t,
at
x) taking initial values τ and xq is true in
the domain D*, and the indicated solution admits the following representation:
t χ = x(t, r , x 0 ) = XQ + ε / f(s, x(s, r , xq)) ds. Τ For jump functions Hj bounded in the norm || · ||, this enables us to write the solution of the system of equations (21.2) in the form
t Τ +
J2
T
[eHj(tj,x(tj,T,xo))-u2},
t>T.
(21.3)
Section 21
Periodic Solutions for Impulsive
Systems
233
Note that the function f(t, χ) with properties (a)-(c) is continuous in both arguments and bounded in norm in the domain D*. If the solution χ = x(t, τ, xo) is T-periodic, then χ(τ + T, r , x 0 ) =
T, x 0 ) = xo.
Substituting the quantity r + Γ for t in relation (21.3), we obtain t+T J
[ef(s, x(s, τ, x0))
-
τ +
[eHj(tj,x(tj,T,x0))-u2]=0.
(21.4)
r
The quantity (iii, guaranteeing the validity of this relation can be chosen in different ways. In what follows, we consider three procedures used to determine the required control (ωχ, U2). We set Ui — εμι (i = 1,2). The vector (μι, μ2) is also regarded as control. 1°. Equality (21.4) is true for t+T μι = ψ J
f(s,x(s,T,x0))ds,
(21.5) μ2 =
7ίΓ P
Σ Hj(tj,x{tj,T,x T
ο)),
Ρ=ψ·
Denote μ\ = f(t,x(t,T,x0)) and μ2 = Hj(tj,x(tj,r,xo)). In this case, the Γ-periodic solution of the system of equations (21.2) for (μι,μ2) given by relations (21.5) must satisfy, in the interval [τ, τ + Τ], the equation t
x(t,r,x0)
= xo + J[ef(s,x(s,T,x0))
-
sf(t,x(t,T,x0))]ds
Τ +
]Γ
\eHj(tj,x(tj,T,x0))
- £Hj(tj,x(tj,T,XQ))].
(21.6)
T
Thus, if there exists a T-periodic function x(t, r , xo) ( X ( T , r, XQ) = xo) satisfying equation (21.6) on the segment [ r , r -I- T] and this equation possesses a
234
Chapter 4
Impulsive Systems
unique solution with initial conditions τ and XQ, then this function is the required T-periodic solution of the system of equations (21.2). Note that it is impossible to find the control ( μ ι , μ ϊ ) by using relations (21.5) because we do not know the solution χ ~ x(t, τ, XQ). In what follows, we use the following auxiliary statement: Lemma 21.1. Assume that the integrable function f(t) and the function Hj(t) are bounded in norm on the segment [τ, τ + Τ] by a constant Μ > 0. Then T+t
I (
m
~ Τ I
+
M
d s
Σ
d t
fate)
H
Σ
& i i ) 1 < Ma{t)
P1 r
T
)
+ T), where a(t) = 2(t - r )
- ^ r " ) + 2d.
The proof of the lemma directly follows from the inequalities t T+t [ ( m - ψ f f(s)ds)dt + ς { m i ) - 4 Σ Τ τ T
< ( ΐ - ^ Γ
+ 1
<2Μ(ι-
1
τ+Τ
) / ||/(β)||ώ
T
+^
J t
Σ
Ρ T
\\f(s)\\ds
W i ) ) \ \
ψ · ) (t — τ) + 2dM.
We now determine the sequence of T-periodic functions {xm(t, r , xo)} given on the segment [τ, τ -f Τ] by the recurrence relations ®(0)(i,r,a 0 ) = xqj
te[r,T
+ T],
Periodic Solutions for Impulsive Systems
Section 21
235
Xm+l(t,T, X0) t
-xq
T+t
+ sJ
- — J f(s,xm(s,T,x0))ds
f(t,xm(t,r,x0)) τ
+
£
--ψ
P
dt
τ
Σ
T
[Hj{tj,Xm{tj,T,Xo))
Σ Hj{tj,xm(tj,r,x r
(21.7)
ο))
Theorem 21.1. Assume that the functions f(t, x) and Hj(t, a;) defined in the domain D* are continuous in t and satisfy the following conditions: (i)
max
{|]/(ί,χ)||, \\Hj(t,x)\\} < Μ — const < oo, (j =
t&[r,T+T]
...,-1,0,
1,...);
(ii) \\f(t,x)-f(t,x)\\
+
^
,
«** all initial
values τ £ (—00,00) and xo £ Df f/iere exists a unique control (u\, U2) for which the system of equations (21.2) possesses a Τ-periodic solution Χ = x°(t, r, XQ), X°(T, T,XQ) = xo and, in addition, U\ = eHj(t,x°(t,T,x u2 = εΗ^ί,χ°(^,τ,χ
0)), ο)).
(21.8)
Proof. It is clear that the conditions of Theorem 21.1 imply the validity of conditions (a)-(c) for the function f(t,x) in the domain D*. Let us show that the sequence { x m } defined by relation (21.7) is uniformly bounded, i.e., xm(t, r , xo) £ D for any natural m, provided that XQ £ Df. By using Lemma 21.1, we estimate the difference x\(t, τ, xo) — zo· As a result, we obtain
£
rp
||xi(i,T,x0)-xoll < e A f ( 2 ( t - T ) ( l - - = R - ) + 2 d ) < ε Μ ( - +
2d).
236
Impulsive
Chapter 4
Systems
Assume that
Τ
Ι Μ ί , τ, xo) - zoll < ε Μ ( - + 2 d ) for all k = 1 , 2 , . . . , n.. Then t
\\xn+i(t,T,xo)
- Zoll < ε J
^
f i t , χη)-ψ
+£ Σ
T+t
j
[Η3
f(s,xn)ds dt
'χη) - ^
T
< εΜ(=^
Σ
_Η3 & '
Χη
\
T
+ 2d)
because Τ \xn(t,T,x0)\\
<
\\x0\\+eM^-
+ 2d) rp
rp
< R - ε Μ +
2d) +
+ 2d) = R,
i.e., xn(t, τ, xq) belongs to the domain D. By induction, we conclude that, for all natural m, Τ
τ, So) - zoll < εΜ(— + 2ά) whenever xo G Df. Let us show that the sequence { x m } converges in the norm II · II uniformly in t e [τ, r + T]. To this end, we estimate the difference xm+i (t, r , xq)—xm(t, r , xo)· By using condition (ii) of Theorem 21.1 and relation (21.7), we obtain \\xm+l(t,T,
Xo)
Xm (t,T, so) II
ι
< ε J (jj\\xm(t,T,Xo)
-
Xm-i(t,T,Xo)\\
τ
1
+ -
T+r
J
L\\xm(s,T,xo)
-
xm-i(s,T,x0)\\ds)dt
τ +
ε
Σ
(L\\Xrn(tj,T,Xo)
—
Xm-i(tj,T,Xo)\\
T
~
Σ
T
L\\Xm(tj,T,X0)
-
Χτη-ΐ^,Τ,Χο)]])
Section 21
237
Periodic Solutions for Impulsive Systems
< sL2(t-r)(l
- t-^P)\\xm(t,T,xo)
+2eLd\\xrn(t,T,xo)
- xm-i(t,
r, x 0 )||o
- xm_i(£, τ,χ0)||ο
Τ < e L ( - + 2d)||®m-xm_i||0.
(21.9)
This yields \\Xm+L(t,T,XO)
- X m ( t , T, Xo)||
^
T
< [ ε Ι > ( — + 2d)] rp
| | χ ι ( ί , τ , χ 0 ) - ®0||o rp
< [ e L ( - + 2 d ) ] m e M ( - + 2d)
(21.10)
Τ -i and, hence, for ε < ^L^— + 2 d ) ) , the sequence {xm} converges in the norm II · II uniformly in t e [τ, r + T]. Denote lim x m ( i , r , x 0 ) = τ, zo)· m—>oo Since the functions x m ( i , r , xo) are T-periodic, the function x°(£,r, xo) is also T-periodic. In relation (21.7), we pass to the limit as m —• oo and conclude that the function χ = x°(t, r , xo) is a solution of equation (21.6) on the segment [τ, T+T]. Let us show that equation (21.6) cannot have two or more solutions with the same initial values. Indeed, assume the contrary, i.e., that y = y(t,r,xo), y(t,T,xo) — XQ, is a solution of equation (21.6) other than χ = χ°(ί, τ, χo). In this case, we readily obtain the following estimate similar to inequality (21.9): rp
\\x°{t,T,x0)
- y(t,r,XQ)\\O
<
+ 2dy\x°(t,T,x0)
-
y(t,T,x0)\\0.
Τ Since + 2d) < 1, we have ||χ°(ί,τ, xo) — y(t, τ, xo)|| = 0 and, hence, χ°(ί, r , xo) = y(t, τ, xo), i.e., we arrive at a contradiction. It remains to prove the uniqueness of the control (1/1,162) satisfying equation (21.8). Denote x°(t, τ, xo) = x(t, τ, X Q , U ) . Assume that there exists a control ν = (v\,V2) corresponding to a T-periodic solution χ = χ ( ί , τ, xo, υ) of the system of equations (21.2) and χ (τ, τ, χο,υ) — XQ. Further, we assume that the quantities ν and x(t,r,xq,V) satisfy relations (21.8). In this case, x(t,r,xO,v)
238
Impulsive Systems
Chapter 4
is a solution of equation (21.6), which is impossible according to the assertion proved above. This means that x(t, r, xo, υ) = x(t, r, xo, u) and, moreover, relations (21.8) imply that v\ = u\ and V2 = U2· 2°. Equality (21.4) is satisfied for μ = (0, μ2), where M2 =
T+T
ι
f(s,x(s,T,x0))ds+
J2
Hj(tj,x(tj,T,x0))}.
(21.11)
τ<ί,·<τ+Τ
This quantity is regarded as a control over the pulse part. Substituting relation (21.11) in (21.3), we obtain ι χ (•t,r,XQ)
= xo + J
ef(s,x(s,T,xo))ds
τ r+T
+
Σ
r
+
UHjit^x^j.T.xo))
- a^Γ J /
Hj(tj,x(tj,T1xo))]}1
£
f(s,x(s,r,x0))d&
T
te[T,r
+ T].
(21.12)
In Case 2°, this equation plays the role of equation (21.6). We define the sequence of T-periodic equation functions {xm(t,r,xo)} on the segment [τ, τ + Τ] by the recurrence relation
given
r
Xm+l(t,T,Xo) t
= x0 + J ef(s,xm(s,r,
x0))ds
τ-t-i -
Σ rf T
J/ T
f(s,xm(s,T,x0))ds+
Σ 0
Σ Σ Hjit^x m{tjtT,xQ)). T
£
Hj(tj,Xm(tj,T,Xo))
(21.13)
Assume that the conditions of Theorem 21.1 are satisfied.
Then, for any 0 < ε < mim
—; — > and all initial values <2M{1 + a) 2L\1 + d) J
Section 21
239
Periodic Solutions for Impulsive Systems
τ e (-00,00) and x0 e D'f = {x e D|||x|| < R - 2 ε Μ ( Τ + d)} C D, there exists a unique control (0, U2)for which the system of equations (21.2) possesses a Τ-periodic solution χ = Xoo(£, r, xq) such that χ<Χ(τ, τ, XQ) = XQ. Proof. Since XQ G D, relation (21.13) implies the inequality Izi-zoll
< eM{t-r) +εΜ
F 0 r
^2M(T
+
ε + ^MT £ 1 dJ r
Σ 1+ 2 Σ Σ Μ <2εΜ(Τ T
+ Ά).
d)'thisyidds ||rci(t,r,ico)|| < \\x0\\+ 2εΜ(Τ + d),
provided that xo £ D'j. Hence, xi(t,R,xo) £ D for XO G D'f. Let X2(T,R,XO), ..., belong to D for xq e D'f. Then \\xM+1(t,T,xo)
xM(t,R,X0)
-®O|| < 2εΜ{Τ + Ά)
and, hence, x-m+I (t, Τ, XQ) g D. By induction, we conclude that xM(t, Τ, XQ) g D for any natural m. Let us show that the sequence {xM(t,T,X0)} converges in the norm || · || uniformly in t on the segment [τ, τ + Τ]. Thus, Χγη (t,T, So) II < ε(ί - τ)\\xM - XM-\11 ο + ELT\\xM +εί,Ά\\χΤΗ - x m _ i ||o + EL\\xM < 2eL(T + d)\\xτη
xM-\||o xM-\||o
x
m—11 [ 0
and, hence, we arrive at the following inequality similar to (21.10): \\xRN+1(t,TIxo)-XM(t,T,xo)\\ For ε <
< [2EL{T + Ά)Γ2εΜ(Τ
+ d).
——, this inequality guarantees the uniform convergence of the 2 L(T + d) sequence {xM(t,T,X0)} on the segment [τ, τ + Τ).
Chapter 4
Impulsive Systems
240 Denote
lim 2 m ( i , T , z o ) = xoo(t,r,xo)· Since the functions xm(t, τ, xo) are T-periodic, the function XOO(T, r, XQ) is also T- periodic. Passing to the limit as M —* oo in (21.13), we conclude that x<x>{t, Τ, XQ) is a solution of equation (21.12) on the segment [τ, τ + T], Equation (21.12) possesses a unique solution with initial values r and XQ. Assume the contrary, i.e., assume that y(t, r, xo) is a solution of this equation and y(t,r,xo) = XQ. This yields - y(t, τ, xo)||o < 2eL(T + ά^χοο^,τ,χο)
\\χοο{ί,τ,χο)
-
y(t,r,x0)||0.
In view of the inequality 2eL(T + d) < 1, we conclude that y(t,r,xo) = Xoo (t,r,xo). This means that X — Xoo (•t, r, x 0 ) is a T-periodic solution of the system of equations (21.2). We now assume that there exists one more control over the pulse part (0, υ) for which the solution Χ = x(t,r,x ο,υ), χ (τ, τ, χο,ν) — XQ of the system of equations (21.2) is T-periodic. In this case, Ν and x(t, r, XQ,V) must satisfy relation (21.11). Hence, the function x(t,r,xQ,V) must satisfy equation (21.12), which, as shown above, possesses a unique solution. Therefore, x(t,r,xο,υ) = £oo{t, τ, xo). By virtue of (21.11), this means that ν = it2, which completes the proof of Theorem 21.2. 3°. Equality (21.4) is satisfied for μ = (μι, 0), where T+T
Σ
Τ
(21.14)
T
We say that this quantity plays the role of control over the differential part. Substituting relation (21.14) in (21.3), we obtain χ(t,T, XQ) t =
XQ
+Ε
r+T
J ( f ( s , φ , r, x 0 )) - ψ J τ τ
:s / ( £ , χ(ξ, τ, χο))άξ)ά
(21.15)
Periodic Solutions for Impulsive Systems
Section 21
241
Let us now define a sequence of T-periodic functions {xm(t, τ, xo)} given on the segment [r, r + T] by the recurrence relations
®(o)(t,r,®o) = ®o,
te[r,T
+ T],
Xm+l(t,T,Xo) t
= x0 + ε
J
-ψ J /(£. T+T
( / ( s , z m ( s , T, x 0 ))
r
T,
r
+ εί
J]
Hjitj.xm^^r.xo))
\T
-t-f
L
Σ r
(21.16)
/
Theorem 213. Assume that the conditions of Theorem 21.1 are satisfied. Then, for any 0 < ε < π ή η | β [ Μ + 2d)] tial values τ e (-00,00)
andxo
=
;
+
2d
)]
} and all iniΤ -D||MI < R-eM(— + 2
D, there exists a unique control («ι, 0) for which the system of equations (21.2) possesses a T-periodic solution Χ = x°°(i, τ, xo) such that χ°°(τ, r, XQ) = XQ. Proof. This theorem is proved by analogy with Theorems 21.1 and 21.2. Thus, we have
Τ | | χ ι ( ί , τ , χ 0 ) - χ 0 | | < e M ( - + 2d). Τ For xo € Df and ε < R [ m + 2dj j
-i , this inequality implies that x\ (t, r, xo)
belongs to D. By induction, we conclude that the inequality
Τ
(ί, τ, «0) — ®o|| < e M ( - + 2 d ) holds for all natural m. Thus, for xo G D f , we have x m G D for all m = 1,2,3....
242
Impulsive
Chapter 4
Systems
Moreover, \\xm+l{t,r,
Xq)
Xm
t ^
£
{
J(\\f(s,Xm(s,T,
X0)) - / ( s , X m - l ( s , T , X0))||
τ
T+T
1
τ
+
ε {
WHjitjiXmitji^xo))-Hj(tj,xm-i(tj,T,xo))\\
] Γ T
t — τ +
— ψ -
1 \\Η}(*3ιΧτη(^,Τ,Χθ))
Σ
~
Η ^ , Χ η - ΐ φ , τ , Χ ο ) ^
j
T
<
Τ £ L ( —
+
2d)\\xm(t,T,x0)
-
xm-i(t,T,xo)\\o,
t €
[τ,τ
+
Τ],
which yields inequality (21.10). This means that the sequence {x (t, r, reo)} given by the recurrence relation (21.16) converges as m —• oo to a function i ° ° ( t , r , x o ) uniformly in t £ [τ,τ + Τ]. This function is a solution of equation (21.15). The uniqueness of this solution and the uniqueness of control over the differential part are proved in exactly the same way as in Theorem 21.2. Denote . Γ R 1 m
m i n
m
1 M(T/2
m
{ 2M(T
+
2d)'
+
d)'
L(T/2
+
2d)
2 L ( T + d) }
j -
=
712,
72
'
It is obvious that 72 < 712 and, in addition, D'j c Df. This means that the pulse part can be controlled in a narrower domain and for lower values of the parameter ε than in the case of control over the differential part. In the case of simultaneous control over the differential and pulse parts (Case 1°), we can use the same domain as in the case of control over the differential part. In what follows, systems of equations of the form (21.1) satisfying the conditions of Theorem 21.1 are called impulsive T-systems and the control (u\, u2) specified by relations (21.8) is called mixed. We now formulate several corollaries of Theorems 21.1-21.3.
Section 21
Periodic Solutions for Impulsive Systems
243
Corollary 21.1. Under the conditions of Theorem 21.1, the following inequalities are true in the case of mixed control: \\x°(t,r,xo)
- Xm(t,r,xo)||
< C(m) = ε - + ^ Μ ( Γ / 2 +
^
| | M i - / i i m ) | | < L C ( m ) (i = 1,2),
( 2 U ? )
(21.18)
where xm(t, r, XQ) is given by the recurrence relation (21.7), = f(t, xm(t, r, x0)),
and
μ^
= Hj(tj, xm(tj,
τ, x0))·
Proof. By using inequality (21.10), we obtain \\x°(t,T,X0) - Xm(t,T, :E0)|| ^Γ
< \\x°{t,T,x0)
- xm+1(t,T,x0)\\
+ em+1LmM[-
Relations (21.6) and (21.7) yield Τ ||®°(i,r,®o) - ®m+i(i,7-,®o)||o < eL{~2 + ^\\x°(t,T,X0)
+1
+ 2d)m
-
.
Xm(t,T,X0)\\0.
Inequality (21.17) now follows from these two inequalities. It is clear that the mixed control satisfies the relations
»
lim μ\
— ßi (i = 1,2).
Furthermore, τ+Τ Ilm-/4m)|| -
ψ J
\\f(s,x°{s,T,x0))
L T+TΓ < — /
-
f{s,xm(s,T,x0))\\ds
r , £0) — Xm(s, τ, Xo)|Ms,
τ
ll^2-^2m)H
< ^
Σ Hj(tj,X°(tj,T,X0)) T
^ ~f Σ Ρ T
-
-
Η^,Χη^,Τ,Χο))
Xm(tj,T,Xo)\\.
Impulsive Systems
244
Chapter 4
This yields inequalities (21.18). It is also clear that ζ (τη) —• 0 as m —• oo. By analogy, we can prove the following two assertions:
Corollary 21.2. Under the conditions of Theorem 21.2, the following inequalities are true in the case of control over the pulse part: ||ζοο(ί,τ,χο)-xm(t,T,x0)\\
< σ(τη) =
em+12m+1MLm(T + d)m+1 1 - 2eL(T + d) '
< La{m)(j
+ l),
where xm(t, r, xo) are given by the recurrence relation (21.13) and „
T+T
f(s,xm{s,T,x0))ds+
Σ
Hj{tjtXm{tj,T,Xo))}·
T
Corollary 21.3. Under the conditions of Theorem 21.3, the following inequalities are true in the case of control over the differential part: ||χ°°(ί,τ,χο) -xm(t,T,xο)
|| < C{m),
| | m - / 4 m ) | | < L ( l + ψ)ζ(τη),
(21.19)
where xm(t, r, rro) is given by the recurrence relation (21.16) and
=
/ f(s,Xm(s,T,X0))ds+ I
r
Σ
0))1.
T
)
The solution χ — x(t,r,xo) of the system of equations (21.1) for which = XQ E DF is T-periodic if and only if the control over its differential part (mixed control or control over the pulse part for XQ G D'J) is equal to zero. This statement is a simple corollary of Theorems 21.1-21.3. Therefore, in what follows, it suffices to study one of the analyzed types of control. We restrict ourselves to the case of control over the differential part of the system of equations (21.1). X(T,T,XO)
Periodic Solutions for Impulsive Systems
Section 21
245
Corollary 21.4. If an impulsive Τ-system (21.1) such that
0 < ε < min |
+ 2d)' HTf2
(21 20)
+ 2d)}
'
possesses a Τ-periodic solution χ = φ(ί), φ(τ) = Xq £ Dj, then this solution is the strong limit of a uniformly convergent sequence of Τ-periodic functions {xm(t, r, reo)} defined on the period [r, r, +T] by the recurrence relation (21.16) and, in addition, \\φ(ί) — xm(t, τ, xo)|| < C( m ). where ζ(πι) is given by relation (21.17). Proof. Since the solution ip(t) is T-periodic, the expression for μι on the right-hand side of relation (21.14) is equal to 0 e ÜJI. Hence, the function f ( t ) admits the representation t
[ef(t,
Σ εΗ^,φ&))-ε T
μ ι
(ί-τ).
(21.21)
Substituting the value of μι given by relation (21.14) in relation (21.21), we conclude that ip(t) is a solution of equation (21.15). By virtue of Theorem 3.21, this equation possesses a unique T-periodic solution with initial values r and xq, and, hence, φ(ί) — x°°(t,r,xo) = lim xm(t,xo). m—>oo We now denote
A(x0)
e C f = ψ< I τ
f(s,x°°(s,T,xo))ds
+
Σ T
j
Η ^ , χ ° ° ( ί ι , τ , χ ο))}
(21.22)
J
and fix the initial value r . It is clear that, for Δ(χο) = 0, the function x°°(t, τ, XQ) is a T-periodic solution of the system of equations (21.1). Thus, the problem of the existence of T-periodic solutions of the impulsive T-system (21.1) is reduced to the problem of finding zeros of the function Δ(χο)· However, it is practically impossible to determine this function. At the same time, the problem of zeros of the function Δ(χο) can be solved by using the following function:
Impulsive Systems
246
Chapter 4
r+T f(s,xm(s,r,
+
xo))ds
Σ
Hj (tj, xm (tjtT,x
o)U,
(21.23)
r
where xm(t, r, rro) are given by the recurrence relation (21.16). The corresponding result is formulated in the form of the following theorem, which can be regarded as an analog of Theorem 6.2 for T-systems without pulse action: Theorem 21.4. Assume that, in the domain D*, the impulsive T-system (21.1) satisfies inequality (21.20) and the following conditions: (i) for some fixed τ € (—oo, oo) and integer η ( η = 0 , 1 , 2 , . . . ) , the mapping Δ η : Df —» 971, where An(xo) is given by relation (21.23), has a singular point x°, i.e., Δ η ( α ; 0 ) = 0 £ 971; (ii) there exists a closed bounded domain D\ C Df containing the point x° such that An topologically maps D\ onto Δη£>ι; (iii)
the inequality (21.24) where ζ (ή) is given by relation (21.17), holds on the boundary
of the
domain D\. Then the system of equations (21.1) possesses a T-periodic solution χ = such that x(r)
x(t)
e D\.
Proof. First, we show that the mapping Δ ( χ ) is continuous on Df. By using relation (21.22), we obtain
||Δ(ΧΙ)-Δ(Χ2)||
<
\\x°0{t,x1)-x°°(t,x2)\\dt
τ +
Σ r
where x\, χ<ι e
Df.
-χ00^·,^)!!
(21.25)
Section 21
Periodic Solutions for Impulsive
Denote x°°{t,xi) - x°°(t,x2) = r(t). x°°(t, X2) satisfy equation (21.15), we get
247
Systems
Since the functions x°°(t,x 1) and
t
||r(t)|| < \\x1-x2\\+eL(l-t-^)
+ ^
f eL\\r(s)\\0ds
J
+ eL{
Τ
<
£
||r(t)||0+
r
Σ
||r(t)||0}
T
||®i-ara||+eL(2d+|)||r(i)||o
and, hence,
Further, it follows from relation (21.25) that
i.e., the mapping Δ ( χ ) is continuous on Df. At the same time, we have D\ c which means that Δ ( χ ) is continuous on D\. By virtue of inequality (21.19) and Lemma 4.6, the set Δη-Di — eL(l
+ ψ^ζ(η)
Df,
= £>2
is contained in ΔΌι. If the set D2 contains 0 e 931, then 0 e AD 1. This is sufficient for the impulsive system (21.1) to have a T-periodic solution. Thus, it remains to show that 0 € D2. This fact is proved by using inequality (21.24) by analogy with the corresponding part of the proof of Theorem 6.2. However, the procedure presented above does not enable us to find the initial values r and xo of the T-periodic solution of system (21.1). This problem is in no case simple and can be solved without serious difficulties only in some special cases. In what follows, we study one of these cases. Consider a system of equations dx — =£f(t,x), Ax
t=tj
t^tj,
— εΗ(ί) λ (j = ...,-1,0,1,...), (21.27) for which the conditions of Theorem 21.1 are satisfied, i.e., the system of equations (21.27) is a special case of the impulsive T-system (21.1).
248
Impulsive Systems
Chapter 4
Theorem 21.5. Assume that the system of equations (21.27) is such that (i) H(-t)
= -H{t)
and f(t,x)
(ii) on the interval about zero.
=
-f{-t,x
, the times of pulses tj ( j — l,d) are symmetric
Then every point XQ £ Df is the initial value of a Τ-periodic solution x(t), x(0) = xo, of this system of equations. Proof. For t > 0, the solution x(t) of the system of equations (21.27) satisfies the equation
ο
ο
At the same time, for t < 0, this solution satisfies the equation
0
0 Consider the recurrence relations
0
ο
(21.28) t
ο k
2(0) = xo·
Using these relations, we obtain £
eHitj),
t> 0,
(21.29)
eHitj),
t< 0.
(21.30)
ο
ο
t
Section 21
Periodic Solutions for Impulsive
249
Systems
Let t > 0. Then x\(t) is given by relation (21.29), where the times of pulses tj are positive. Since the times of pulses are symmetric about the origin and the function H(t) is odd, by virtue of (21.30) we obtain -t xi(-t)
= xo + ε
f(s,xo)ds-
^ —t<—tj<0
J 0
eH(-tj)
t = χο + ε
f(s,x0)ds
+
0
Σ 0
εΗ(tj)
= XI (t)
because the values of the function H(t) at the points symmetric about zero have different signs and, for the odd function f(t,xo), we have -t
t
J f(s,xo)ds
ο
= J / ( s , xq) ds.
ο
Thus, the function x\(t) is even. Since
t
we have t Xi(t + T)
=
χο + ε
f(s,x0)ds ο
=
t+T +ε
/ f(s}xo)ds+ t
^ 0
£
H(h)
Xl (t),
for t > 0 and, hence, x\(t — T) = x\(t) for t < 0. This means that the function x\ (t) is T-periodic on the positive and negative semiaxes. Let 0 < t < T. If, in this case, ® i ( - t + T) = x i ( - t ) ,
(21.31)
then the function x\ ( t ) is T-periodic on the entire real axis. It is clear that equality (21.31) is equivalent to the equality x1(t) = x1(T-t),
(21.32)
250
Impulsive
Chapter 4
Systems
where Τ — t > 0. Using relation (21.29), we can write T-t
xi(T-t)
= x0 + e
ί f(s, xq) ds +
Σ
eH{tj).
0
0
Substituting this relation in (21.32), we obtain t ε / f(s,xo)ds+
sH(tj)
0
0
=
-t+T
/ sf(s,xo)
ds + ε
/
0
f(s,xo)ds+
^ 0
-t
sH(tj).
This yields Σ
0
Σ
0
H ( t j ) = o.
For t
(21·33)
=
t
At the same time, for t > Τ - t > 0, it can be represented in the form Σ
H ( h ) = 0.
(21.34)
T-t
In both these cases, the segment with the endpoints t and Τ — t is symmetric Τ
about the point —. Since the times of pulses are also symmetric about this point, Μ
relations (21.33) and (21.34) are indeed true and, hence, relation (21.31) is also true. Thus, the function x\(t) is even and T-periodic on the entire real axis. By induction, we readily conclude that, for all m > 1, the functions xm(t) are defined for all t e R1, periodic in t with period T, and even. Under the conditions of the theorem, the recurrence relation (21.28) for t > 0 can be rewritten in the form t Xm+l(t)
τ
= Xo + ε J(f(s,xm(s))
+ ε(
- - J/(£,
Σ
Σ
{0
0
(£))<£)<*«
Section 21 because
Periodic Solutions for Impulsive Systems
251
τ f ί(ϊ,Χτη{ζ))άξ
=0
and
£
0
H(tj)=
0.
0
Note that this relation has the same form as relation (21.16) for τ = 0 and, hence, by virtue of Theorem 21.3, the sequence of functions {xm(t)} converges to an even T-periodic function x(t), x(0) = xo. which is a solution of the system of equations (21.27) because, in this case, relation (21.14) for the control μι has the form τ μι = ψ{[
f(s,x(s))ds+
Σ
0
Η&)}=
0,
0
which completes the proof of Theorem 21.5. Remark 21.1. In the system of equations (21.27), we can set ε = 1 and, hence, Theorem 21.5 can be reformulated for a system that is not necessarily an impulsive T-system. It suffices to preserve the conditions imposed on the pulses, their times, and the function f(t, χ) and guarantee the applicability of the method of successive approximations to the solution of this system of equations. For a general impulsive T-system (21.1), the following assertion can be helpful in finding the initial values of its T-periodic solution: Lemma 21.2. In order that the domain D\ c Df contain a point x* at which the function Δ(τ, χ*) of the impulsive T-system (21.1) is equal to zero, it is necessary that the following inequality be true for some τ, all integer τη, and all XI € Di : cT(Ta.a\[ 1 1 ^ ) 1 1 < f M
sup||x-xi|| Jc(m)
+
) ,
(2,35)
where ζ(τη) is given by relation (21.17). Proof. Assume that Δ(τ, χ*) = 0 at the point x* £ D\. Then, by using inequality (21.26), we obtain MA/ M) <^ Ι|Δ(τ,.«ι)|| T
[ 1
+ d) _ e eL(T L { T / 2 + 2d)] \II® - s i l l -
252
Impulsive
Chapter 4
Systems
At the same time, according to inequalities (21.19), we have | | A m ( r , x i ) | | < | | Δ ( τ , x i ) | | + eL(l +
ψ)ζ(τη)
and, hence,
Ι|Δ»(τ, xi)|| < «Κ1 + |K(m) +
~ «.I,
which yields inequality (21.35). By virtue of Lemma 21.2, to find the initial values of T-periodic solutions of the impulsive T-system (21.1), it is necessary to act as follows: The set Df is split into finitely many subsets Di. In each Di, we take a point χ — x^ and compute Am(r, x^) for some m. After this, we remove the sets Di for which A m ( r , x^) does not satisfy inequality (21.35) because these sets do not contain the points crossed by T-periodic solutions for t = τ. The union of all remaining sets Di is denoted by . In the case where m —> oo and the diameters of the sets Di (τη)
(rri)
contained in tend to zero (in this case, i —> oo), the set 97Q ; approaches the set of initial values of T-periodic solutions of the system of equations (21.1).
4.22. Approximate Solution of the Periodic Problem of Control In the present section, we study the possibility of reduction of the problem of control considered in the previous section for the system with control (21.1) to the finite-dimensional case. Note that, for some linear impulsive systems of equations, the problem of control can be solved with any a priori given accuracy. Clearly, the results presented in what follows are also valid for countable systems with small parameter but without pulse action. We now consider the truncated system of equations d(X] 1»λ. (η). — = ε f (t, χ),
Δ<ϊ»
t=t
( n ) > (n) = eHj{tj:x )
corresponding to system (21.1). Here,
(j =
ϊ φ tj,
...,-1,0,1,...)
(22.1)
Section 22
Approximate Solution of the Periodic Problem of Control
253
(n)
(n)
X = (ζι,...,Χη),
/ = ( / i , . . . , / „ , 0,0...),
Hj = (H?\Hj>),...),
and
η) = (H[j\...
,Η^).
Since all Theorems in Section 4.21 remain valid for finite-dimensional systems of equations, we conclude that, for any natural n, there exists a unique mixed (η) (η) (η) (π) (η) control («ι, 112) such that the solution χ = χ (t, r, £0) of the impulsive system of equations d^X (») (») (») — = £ f{t,X)-Ui, t^tj, (n)
(n)
Ax
(n) (n) x)-«2
0' = . . . , - 1 , 0 , 1 , . . . )
(22.2)
(n)
with initial values t,xq G Df is T-periodic. (n)
We now present conditions under which lim χ (t) = xo) at least τι—>oo weakly. Note that this problem cannot be solved by applying the theorem on truncation because the system of equations (22.2) cannot be regarded as a truncated system corresponding to system (21.2). In what follows, we restrict ourselves to (τι) the segment [τ, τ + T] because, for any natural n, the solution χ = χ (t, τ, χ) of the system of equations (22.2) is T-periodic. (") W , Further, we set U{ = ε μ* (i = 1,2) and write the inequalities T T (η) 1, +f t(n)\ (η). (η) l l W l l < J j m £ J II / (s, xJi(s, τ, xo))|| ds < M,
II S i l < Ji^c^r
< ±Md (η)
Σ
II
H)(tj,xl{tj,T,xo))\\
= Μ,
(η)
where xm(t, τ, xq) are determined for fixed η by the recurrence relation (21.7). (n)
(n)
Lemma 22.1. The sequences {μι} and {^2} contain weakly convergent sub(k) (k) sequences {μι} and {μ2} with limits and μ°, respectively, from the space Tt.
Impulsive Systems
254
Chapter 4
(η)
Proof. Since \\ μι \\ < Μ (η = 1 , 2 , . . . ) , we can apply the method of dito (») agonalization and extract a subsequence { μ ι } of the sequence { μ ι } such that μι —» μι as s —• oo in ^ e weak sense. Then we consider a subsequence {μ^} of (n)
the sequence {μι}.
(s)
It is clear that || μ2 || < Μ for all s. Thus, applying the princi(fc)
pie of diagonalization once again, we extract a subsequence { μ 2 } of the sequence { μ 2 } such that μ2 —> μΐ as k —> oo. Since the sequence { μ ι } is a subsequence of the sequence { μ ι } , we conclude that μι —> μι as k —• oo. We say that a function f(t, x) belongs to the space Cup(x) in the domain D* if, in this domain, it satisfies the strong Cauchy-Lipschitz condition with respect to χ (see Section 1.2). The following assertion is true:
Theorem 22.1. Assume that all conditions of Theorem 21.1 are satisfied and, in addition, the functions /(t, χ) and Hj(t, x) belong to the space Cxipfx) in the domain D* for all integer j. Then the Τ-periodic solution ^x = ^x(t,r,x o) of the system of equations (n)
(22.2) with initial conditions r, (xi0,x20, · · •, = £ Dj converges weakly as η —> ooto the T-periodic solution x°(t, r, xo) of the system of equations (21.2) such that χ°(τ, τ, χ ο) — xo — (xiQ,x2Q, • • ·) £ Df and, moreover, μk=\imμ)k
71—»OO
(k = 1,2)
(22.3)
also in the weak sense. Proof. We consider a subsequence of systems of equations from the sequence of systems (22.2):
d{x — (k)
Δ V
C5)
= ε Hjh,
{k),.{k\ (*) = ε f (t, χ)-εμι,
(k)
(k)
V ) -ε(μΙ
... t^tj,
(j = ...,-1,0,1,...),
(22.4)
where the control (μι, μ;]) is specified by Lemma 22.1.
(k)
(k)
We write a solution χ (t, τ, χ ο) of the system of equations (22.4) in the form
Section 22
Approximate Solution of the Periodic Problem of Control (fc) (fc),. (*)* (*) , Vr / x ( t , r , x o ) = z o + / [ε / (σ, χ (σ,τ,ζο)) τ
+
T
[
ε Η
255
(fc)
υ μ\ε\άσ
ό , x{tj,T,x0))-eß2 .
(22.5)
The norm of this solution can be estimated as follows: II f\{k), σ W y Μ>
<*),, ^ II (Jfc)|| , * < Fo
1 f (kJ - y J
T
"
(k\ (fc) f(s,x)ds da
r
.(fc) (fc)
because the mixed control (ui,u2) is connected with the T-periodic solution (fc)/ (fc)v χ (t, r, reo) by relations of the form (21.3). In this case, by virtue of Lemma 21.1, we obtain (k) {k) II|| {{k) ( + r, Si II|| ^<< II II II IIIIXO || + χx(t,[t,T,xο II Xo - eMa(t)
< ||x0|| + eMa(t)
(22.6)
for all t e [τ, τ + Τ] and k = 1 , 2 , 3 , . . . . (fc)
It follows from inequality (22.6) that the sequence { χ } is uniformly bounded in norm on the segment [r, r + T). Let ί and t belong to the segment [τ, ίχ], where ίχ is the time of the first pulse on the segment [τ, τ + T], and let t > t. Then (fc)^ (fc) = = /t\ W X (t) - χ ( ί ) =
=
fc Vr ((fc) K (fc)i . f w (fc) [ε f (σ, χ) -εμι\άσ τ -
-
I
J
-
fc Vr ((fc) ) r w (fc) [ε f (σ, χ) - ε μ\]άσ τ -
Vr (*) , , [ε f (σ, χ ) - μ χ ε]<ζσ.
This yields ,( X
~(t)V ,- (x{t)\\
J\\e{f{a,{$)-e$l\\da
<— t
< (εΜ + εΜ)\ϊ—ί\ for all t, t € [τ, ίχ], where ε Μ = Ν.
= 2N\t — t\
256
Chapter 4
Impulsive Systems (fc)
The equicontinuity of the sequence { χ } on [ τ , ί ι ] follows from inequality (αχ) (e*2) (22.7). According to the Arzelä theorem, we can extract a subsequence χχ , χχ , ...,
- of the sequence {x\} that converges uniformly in t on the segment
[τ,ίι].
In the sequence x ^ , · · •, · · ·> we select a convergent subse(ft) ( A ) (/3m) _ . , . f quence X2 , X2 , · · · > #2 > · · ·» etc. This procedure is repeated infinitely many times. By using the method of diagonalization, we extract a subsequence . . . of the sequence { x^} that converges uniformly in the coordinates on the (fci) segment [τ, ti]. This subsequence is denoted by { χ } . (jtj) Now consider the sequence { χ } on the segment [t\ + 0, £2]» where £2 is the time of the second pulse on the segment [τ, τ + T ] and £2 > h. For all t and t from (fcl) [t\ + 0, £2], the sequence { χ } satisfies inequalities (22.6) and (22.7). Therefore, the sequence
contains a subsequence
that converges uniformly in the
coordinates on the segments [ τ , ί ι ] and [ti + 0,<2]· (a)
After finitely many steps, we arrive at a sequence { χ } . This sequence is a subsequence of the sequence { a ? } . Furthermore, { x^} converges to a T - periodic function x°(t)
uniformly in the coordinates on each segment that lies in [r, τ + Τ]
and does not contain the times of pulses tj. Further, we consider a sequence of impulsive systems of equations d(x — A (S) Δ χ
t-t
W χ) - « ι ,
= e f{t,
t^tj,
(S = l,2,..., j =
= eHj(tj,{i(tj))-iul
- 1 , 0 , 1 , . . . ) (22.8)
and prove that (uniformly in the coordinates) =
x°(t)
lim χ \ ί , τ , χ 0 ) = x°(t,T,xo), s—»00
t G R1,
where x°(t, τ, xo) is a T-periodic solution of the system of equations (21.2). The (s)
sequence { χ ( i ) } can be represented in the form χι (t) Sw :
>
J
, ... ,
Sw :
J
X2 (0 \
'
/
Section 22
Approximate Solution of the Periodic Problem of Control
257
Note that, beginning with a certain number, all elements of each column are identically equal to zero for all t. For a fixed number I, we write the inequality I ft{t, {xl(t), {xl(t),...)-
h{t, *?(«),*!!(«), · · ·) I
< I hit, g(«),
...) - M , *!(«), · · ·, x°9(t),x£l(t),x%(t),
+ ι /,(t, *?(«), · • .,x°g(t),x%(t),x%(t),...)-
...) I
/,(«,*?(*), *S(t), · · · ) ! ·
The differences on the right-hand side are denoted by A(l, g) and B(l, g), respectively. Since / € CLi P (x), we have B(l,g)
< 5{t)sup{\x°g+l(t)
- χ3+ι(ί)|,
··
-Mi?),
where ei(g) —• 0 as g —• oo and, hence, for any arbitrarily small positive number v, there exists a number g° such that ei(g) < v. By using the fact that all functions χ (t) and, hence, the function x°(t) are uniformly bounded in norm by a constant K°, we arrive at the inequality B(l, g°) < 2 S ( t ) K ° e g ( g ° ) < 25(t)K°u.
(22.9)
We fix g = g°. Then the following estimate is true: A(l,g°)
< J(i)ei(fl°)eup{|«j(t) - S ? ( t ) | , . . . , \x°g0(t) - i$(t)|}.
(22.10)
At the same time, χ (t) converges weakly to x°(t) uniformly in t. This means that there exists a number Ν (I,v) such that, for η > Ν (I, ν), we have sup{|:r?(i) - xl{t)\,...,
|*° 0 (i) -
< i/.
Thus, by using inequality (22.10), we get A(l,g°)
+ B(l,g°)
< S(t)(2K°
+ ε ζ (0))κ
Let t be an arbitrary value of the argument from the segment [τ, τ + Τ] that does not coincide with the time of pulse action and let σ be a segment that contains t, does not contain the times of pulses, and is such that σ c [Τ,Τ + T]. Denote δ = max<5(t). Then σ
I Mt, {xl(t), g ( i ) , · · .)/«(*, 4(t),4(t),
·•·)!<
«5(2K° + e,(0))u
258
Impulsive
Chapter 4
Systems
(s)
uniformly in t £ σ whenever η > N(l,u). This means that fi(t, χ (t)) —• fi(t, x°(t)) uniformly in t G σ as s —> oo. It is clear that the last assertion is true for all / = 1 , 2 , 3 , . . . . Passing to the limit as s —> oo in the first equation of system (22.8), we obtain lim d x ® s—>oo dt
= A. lim at s->oo
= ε f i t , x°(t))
- εμ\
for
t^U.
Assume that Hj(t,x) e CLip(z). Using the same reasoning as above, we conclude that lim H j i t j , χ ( ί , ) ) = Η Thus, we have dx°(t)
= ef(t,x°(t))-ß°l£,
dt Axr'
t = t
= eHjitj,
x^tj))
-εμ»2
t^tj, (j =
...,-1,0,1,...).
Since μι = / {t, χ (ί,τ,ζο))
and
μ 2 = Hf(t,
χ [tj, r, x 0 )),
we can pass to the limit as s —> oo in these equalities and show that the control (u®, u2) is connected with x°(t) by relations of the form (21.8). By virtue of Theorem 21.1, this gives μ? = μ ι ,
μ2 = μ2,
and
x°(t)
=
x0(t,r,x0).
Let us now return to the sequence of systems (22.2). We consider an arbitrary subsequence of this sequence: d{x dt
Δ<ί
t=t
Μ
(r)
(r)
= ε / (t, χ ) - ε μι,
=eHj(tujt η
χ ) - ε μW2
(f j =
t^tj, . . . , - 1ι , 0η, 1ι , . . . )\ .
Note that the reasoning presented above remains valid for this sequence of (i) (l) systems. This means that there exists a subsequence { χ (t, τ, xo)} of the sequence (Γ) (Γ) η {x (t, τ, χ ο)} that also converges (in the weak sense) to the function x(t, r, At the same time, we have {μι} —> μ^ (i = 1,2) as Ζ —> oo in the weak sense.
Section 22
Approximate Solution of the Periodic Problem of Control (η)
259
(η)
Let us now show that the entire sequence { χ (t,r, xo)} also converges to (n)
x°(t, r, xo) in the weak sense, and {/ifc} —• μκ; as η —> oo (k = 1 , 2 , ) . Assume the contrary, i.e., assume that the relation lim ^ ( t , τ, xo) = x°(t, τ, xo) η—>oo (n).
(understood in the weak sense) is not true for xp(t,r,
(22.11)
(n)
(n)
xo), where xp is the pth
(n)
coordinate of the vector { χ }, at the point t e [τ, τ + Τ]. This means that there exists a number εο > 0 such that, for any arbitrarily large number Ρ > 0, one can find a number m > Ρ for which I χρ(ί,τ,χο) - Xp{t,T, xQ) I > £q.
(22.12)
We select an infinitely increasing sequence of positive numbers N \ , N2,. • •, N k , . . . and, by using this sequence, determine the sequence of natural numbers τακ > Nk (k = 1 , 2 , . . . ) for which inequality (22.12) is true with m replaced by mfc. At the same time, the sequence {^x^} is a subsequence of { x j } and, hence, it contains a subsequence {^x^} that converges to x°p. This means that there exists a number Nq such that, for any mi > NO, inequality (22.12) cannot be true for (τη ι) { χ ρ }. Thus, we arrive at a contradiction. This completes the proof of relation (22.11).
(n)
The equality μ/j = lim μ^ (k = 1,2) is proved by analogy. η—>oo Remark 22.1. Condition (ii) of Theorem 21.1 and the requirement that Hj(t, x) G C*Lip(x) can be replaced by a single inequality, namely max A\\f(t,x)
- f(t,x)II,
||Hj(t,x)
- Hj(t,x)||}
f(t,x),
< ε(η)||χ - x||,
te[r,r+T]
where the points χ = ( χ χ , . . . , χη, χη+\,...) and χ = ( χ χ , . . . , χη, χ η + ι , . . . ) belong to the domain D and ε(η) —> 0 as η —> oo. By analogy with Theorem 22.1, one can easily prove the following two theorems: Theorem 22.2. Assume that all conditions of Theorem 21.2 are satisfied and f(t, x),Hj(t, χ) Ε C l i P ( x ) in the domain D* for all integer j. Then the Tperiodic solution χ = Χ ο ο ( ί , τ , x q ) of the system of equations (21.2) is the weak
Impulsive Systems
260
Chapter 4
limit of the sequence {V(i, r, xo)} as η —> oo, where ^x(t,r,Xo) periodic solution of the system of equations ,(n) α χ ~dt~ Λ
(
n
Δ a:
)
t=t
(n)
(n)
ε f (t, x ),
= EHj{tj, x)-u2
is the T-
t^ij,
0 = ...,-1,0,1,...)
(22.13)
obtained from the truncated system of equations (22.1) by using a control over its (n)
pulse part (0, U2). Furthermore, (n) (n) (n) ζ ( r , r , x0) = = (zi0> · · · ,Xno)>
u
2=
(n) limii2, 71—>00
and
u 1 = 0.
Theorem 223. Assume that all conditions of Theorem 21.3 are satisfied and f{t,x), Hj(t,x) 6 Clip(x) in the domain D* for all integer j. Then the Tperiodic solution χ = x°°(t, r, xo) of the system of equations (21.2) is the weak limit of the sequence {x{t, r, xo)} (n periodic solution of the system of equations
00
)> where x(t,T,x0)
is the T-
d(X (n) (n) — = £ f [t, X)-U 1 , t ^ t j , Λ (") Δ χ
= εΗ](^,{$) Ζη
( j = ...,-1,0,1,...)
(22.14)
obtained from the truncated system of equations (22.1) by using a control over its (n) differential part (wi, 0). Furthermore, (»), (»). (n) x ( r , r , xo) = £0j
(n) v>i = lim u\, 71—»OO
and
«2 = 0.
We now consider the case of a T-periodic linear system of equations of the form (19.1) satisfying conditions l°-3° from Section 4.19. The corresponding truncated system of equations has the form (19.6). The following assertion is true for systems of this sort: Lemma 22.2. Assume that the system of equations (19.1) is such that the following inequalities hold on the segment [τ, τ + Τ] :
Section 22
Approximate Solution of the Periodic Problem of Control
||Λ(ί) - A ( £ ) l l o < ξ{η), \\Bj - ß ] | | < ß(n)
( j = 1 , 2 , . . . , d),
where d is the number of pulses on the segment indicated. Then any solution of system (19.1) Χ = x(t,r,xo), (xi0, X20, · · ·), such that II ( 0 , . . . , 0, xn+lo,
xn+2o)...)II
X(T,T,XQ)
261
(22.15)
=
< δ(η),
xo
=
(22.16)
satisfies the inequality I * I I < {«(η) + Κ[ξ(η)Τ
+ ß(n)d\}(l
+ maxΙΙΒ^^βχρίΦ,^+ηΓ},
(22.17)
where ff =
tf(0)(l+
maxH^l^exp^^+rjT},
t e [τ,τ + Τ],
(η)
and χ is a solution of the truncated system of equations of the form (19.6) with initial values r and (xi0, X20i · • · > xnQ)· Inequality (22.17) immediately implies that if £(n), β(η), and δ(η) approach zero as η —> oo, then (n) (n) lim χ (ί,τ, XQ) = x(t, τ, xo), η—κχ>
t € τ, τ + £ ,
in the strong sense (with respect to the norm || · ||). Proof. In view of relations (19.2) and (19.7) and Statement 19. V, we obtain max { | | a s ( t , r , ®0)||, || (x(t,r, ίζ[τ,τ+Τ\
®o)||}
< <5(0)(l + max | | B i | | ) < ' ω φ { Φ [ τ > τ + τ , Τ } = Κ . By using inequalities (22.15) and (22.16), we get
262
Impulsive Systems
\ x -
{
< {||ζο - xo II + £(n)T||
x \ \
+ /•fr,
T +
T]\\X-
< {δ(η) + [ξ(η)Τ +
ty
(n) X
Chapter 4
Κ +
ß(n)\\
|dt+
Σ
^ ||d} ll^illll®
(n)
X
T
β(η)ά\Κ}
t (τι) dt
/ Φ[τ,Τ+γ|ΙΙ®- χ \\ +
l d Σ τ
whence, by virtue of Statement 19. V, we obtain inequality (22.17). Denote 77(71) = m a x { < 5 ( n ) , £ ( n ) , / ? ( n ) }
and
b=
max||-B?||.
j=l,d
(η) Then, to guarantee the required accuracy ||χ(ί) — x (i)|| < p, we choose the order of truncation η from the condition 77(71)
<
(22.18)
[1 + Κ (d + Τ)} (1 + by exp {ΤΦ [ Τ ) Τ + τ ] }'
As an illustration, we consider a simple example of the system of equations (19.1) with sin t
A{t) =
sin t 2 sin t 4
cos t 2 cos t 4 cos t 8
sin t 4 sint 8 sin t 16
and
Γ1 4 1 B\ = 8 1 16
1 8 1 16 1 32
1 16 1 32 1 64
and set j = 1. The matrices A(t) and B\ satisfy the conditions of Lemma 22.2. Indeed, ||Λ(ί)|| 0 < 2 and ||ßi|| = -a. Moreover, [τ, τ + Τ] is an arbitrary segment from R1 and the functions α^(ί) (i,j = 1 , 2 , . . . ) are continuous in R1. Since IIßi|| < 1, the matrix (T + B\) is invertible and, finally, (n) 1 P W - Λ (Oil < — [ ,
(η) 1 \\Β-Β\\ = — λ .
Section 22
Approximate Solution of the Periodic Problem of Control
263
In this case, —^—r —• 0 and —n +j 1- —ν 0 as η —> oo. ' 2 n— ι 2 Denote 77(71) =
a
^ , r = 0, τ + Τ = 2, and τχ = 1. For d— 1 (the case of
a single pulse), we obtain inequality (22.18) in the form 1
<
On—1 —
2
9
P .
3
(1 + ^ ( 0 ) ) | β
4
'
or ^ , +
ln[3e 4 (2 + 9e4<5(0))l - 1η4ρ ΪΪΪ2 *
We set 5(0) = 1. Then, to find any solution of the system of equations (19.1) whose norm is smaller than one and the initial values satisfy inequality (22.16), where <5(n) < 77(71) [e.g., XQ = ( ( 1 , - , ...)], with an accuracy to within Ζ ρ — 0.001 on the segment [0,2], it suffices to consider the truncated system of equations (19.6) of order η = 26. Consider a linear impulsive system of equations with small parameter dx — =eA(t)x, Δι
t=tj
= eBjx{tj-
0)
t^tj, ( j = ...,-1,0,1,...).
(22.19)
This system is a special case of the system of equations (21.1). Here, A(t) = [ α "(ί)]£β=ι a n d B j = are infinite matrices and, moreover, the functions ai a (t) are T-periodic and continuous in t on the entire real axis R1. Assume that the following conditions are satisfied: (a) Bj+d — Bj and tj+d — tj = T, where d is the number of pulses per period; (b) max{||A(t)|| G , ||£,·||} < Μ = const < 00, where G = [τ, τ + Τ], In this case, all conditions of Theorem 21.1 are satisfied and, furthermore, L = Μ and, hence, there exists a unique mixed control (1x1,^2) for which the system of equations dx — = eA(t)x-ui, t^tj, Ax
t = t
= e B j x ( t j - 0 )-u2
( j = ...,-1,0,1,...)
(22.20)
264
Impulsive Systems
Chapter 4
possesses a unique T-periodic solution x°(t, τ, XQ) G D* such that χ°(τ, τ, xo) = xo £ Df. Moreover, the indicated control and T-periodic solution satisfy the relations T+T
Ui = ψ
Ι Α(σ)χ°άσ {
1
and
u2 = ^
Β χ 1 Σ ό °( 3 r
~ °)·
The truncated system of equations corresponding to system (22.19) has the form d x
t ^ t+j ,
— = eA(t)x,
t=t
= ε ß] ( x(t,· - 0)
0" = . . . , - 1 , 0 , 1 , . . . ) .
(22.21)
Under conditions (a) and (b), for the system of equations (22.21) there exists a unique nique mixed cont control (ul, u l ) such that the solution ^x = ^x\t, r , xq) of the system of equations
, (n)
dx — Λ (n) Δ χ
( n ) (n) = e Bj x(tj
/
\
W.Jn) (n) =ε A(t) χ - ui, (n) - 0) - w
t^tj,
( j = ...,-1,0,1,...)
(22.22)
(τι) with initial values τ and xo is T-periodic. Let us formulate conditions under which relation (22.11), where the limit transition is understood in the strong sense, is true and estimate the accuracy of the (n) approximation of the solution x°(t, τ, xo) by the function χ . Theorem 22.4. Assume that the system of equations (22.19) is such that conditions (a) and (b) and inequalities (22.15) are satisfied. Then the T-periodic solution χ = x°(t, r, xo), xo £ Df, of the system of equations (22.20) for which inequality (22.16) is true satisfies relation (22.11), where the limit transition is (n)
(n)
understood in the strong sense and χ (t, r, χ ) is the T-periodic solution of the (n)
system of equations (22.22) with initial values τ and xo, provided that η (η) = m a χ { ξ ( η ) , β ( τ ι ) , <5(π)} —> 0
as
π —• oo.
Section 22
Approximate Solution of the Periodic Problem of Control
265
Furthermore, |x°(t, r , a?o) —
< v{n)N,
τ,
where
Ν = const > 0.
Proof. It is clear that, for i = 1 , 2 , . . . and j = . . . , - 1 , 0 , 1 . . . , we have oo Σ
oo £
max ||ai S (£)|| < ξ(η),
s=n+l
\\b^\\ <
β(η).
s=n+l
These inequalities imply that the functions A(t)x and BjX belong to the space Chip( x )· Thus, by using conditions (a) and (b), we conclude that relation (22.11) holds in the weak sense. (n)
Recall that, for xq G D f , the functions x°(t,r,xo) bounded in the norm || · || by the constant R° = \\χο\\+εΜ(^
+ 2ά)
and
x(t,r,xo)
(n)
are
(n = 1 , 2 , . . . ) .
We have
XQ - a?o II + J[ε||Α(σ)®° τ
- Α (σ) ^x || + ||εμι - ε μ} ||]dc
+ ε||/ζ2-ίΓ2)||].
(22.23)
The inequalities
||i4(t)x° - A(t)
(
x || < M\\x° - (x || +
| | B j x 0 ^ - 0) - B] {x\tj imply that
Β°ξ(η),
- 0)|| < M\\x° - (x || +
R°ß(n)
266
Impulsive Systems T + T
||«ι - ul II < ψ J τ Ν
Chapter 4
(η)
\\A{a)x°-A(a){x)\\da<eR0^n)
- u l II < 2
Σ
eM\\x0-{x>\\G,
+
I l ^ ^ - O i - S j ^ - O ) ! !
τ<ίά<τ+Τ
< -ΑΜ\\χ° -{χ \\g + R°ß(n))d. a Further, by virtue of inequality (22.23), we obtain
(22.24)
II ο (xn ) II If lie t < \\x0 - Xo 11+2 J [εΜ\\χ° - (x ||G + £((n)R°] τ +
Σ
[εΜ\\χ°-(χ
\\ο + εΕ°β(η)+εΜ\\χ0
da
-{X
\\G +
eR°ß(n)]
τ
< [1 + 2 S R ° T + 2 ε Λ ° φ ( η ) + J 2εΜ\\χ° - (x \\Gda
+
]Γ Τ
2εΜ\\χ0-{χ)\\ο.
By using Statement 19.V, we arrive at the estimate ||*°-z(n)||
<η(η)Ν,
where Ν = (1 + 2εR0T + 2ε$* ά)(2εΜ)άνχ.·ρ{2εΜΤ}
= const > 0.
This completes the proof of Theorem 22.4. Slightly worsening the accuracy of approximation, we can identify the constant R° with the constant R from the definition of the domain D. Thus, by using inequalities (22.24), we obtain IK - ui II < εR0ξ(n)
+ εΜη(η)Ν
< εη (n)(R° + Μ Ν),
II«2 - ul II < ε(ΜΝη(π) + R°ß(n)) < 67?(n)(fl° + MN), where η(π) —> 0 as η —• οο. These estimates determine the accuracy of approximation of the control (ui,U2)·
Section 22
Approximate Solution of the Periodic Problem of Control
267
Thus, if it is necessary to find the solution x°(t,r,xo) with an accuracy to within σ, then the order η of a truncated system of equations of the form (22.21) should be chosen from the condition V(n)<jf,
0<σχ<σ,
and the approximate value of the T-periodic solution of the system of equations (n)
(n)
(22.22) xm(t,R, XQ) given by the recurrence relation (21.7) should be found by the method of mixed control. In this case, it is necessary to repeat the outlined procedure as many times as necessary to guarantee the validity of the inequality n n II < || χ >— x<m> II|| <^ σ2,
σ\ + σ2 = σ.
The required number of steps can be found by using inequality (21.17). Since the choice of the parameters σ\ and σ<ι is ambiguous, it is necessary to solve the problem of its optimization. The indicated problem of optimization can be solved numerically. This is actually a modification of the numerical-analytic method presented in Section 1.6. In conclusion, we note that Theorem 4.22 remains valid for the cases of control over the pulse [(0,112)] and differential [(ui, 0)] parts of the system of equations. Let us now estimate the accuracy of approximation of the T-periodic solution and control for the order of truncation η in these cases. 1. Control over Pulse Part. In this case, xq £ D'J- and t £ [τ, τ + Τ]. The inequalities τ + Τ
<
(»)
/ τ
\\A(t)xx(t)-A(t)!ct(t)\\Gdt
r
< -d{ J (MlMt) τ +
- !bt(t)\\G +
R*t(n))dt
Σ (M||*„(t)-fi(t)||G + r
< eMlMt)
- xJo(t)\\c(^
Roß(n))}
+ l) + ε Λ ο ( ^ ( η ) +
β(η)),
268
Chapter 4
I m p u l s i v e S y s t e m s
where R o
=
\\χ0\\
+
2 ε Μ ( Τ + ά ) ,
imply that Χοο
Ct)\\G
1
(η)
< \\xo -XQ | | + ε J μ ( ί ) * ο ο ( 0 τ +
Σ
A(t)S(t)||Gdt
{ 4 B j X ° c ( t ) - B ] £ L ( t ) \ \ G +
\ \ U 2 - Ü } }
T < t j < t
t <
(1 +
+
+
2 e R q T
Σ
2 e R Q d ) ^ n )
+
- ®«(t)|| G
J e M W x ^ t )
d t
{(-τ + 2 ) ε Μ | | τ 0 0 ( ί ) - £ ( ί ) | | σ } .
T < t j < t
By using Statement 19. V, we conclude that /
ΓΊΊ
ν
||®oo(t)-i«,(t)|| <
v ( n ) [ l
=
+
2 e R o ( T
+
^
d ) ] [ e M ( -
+
e x p { ε Μ Τ }
2 ) }
η ( η ) Ρ
and, hence, ll«a - S3 II <
2.
Control
o v e r
Μ Ρ
+ή (
In this case,
D i f f e r e n t i a l Part.
R
+
o)·
G
x q
D f
and
e
t
[ τ , τ
+
The inequalities T + T
II«1-«ill < ψ { I
(n)
Ι|Α(ί)χ°°(ί)-
(«)
A ( t ) x
n
° ° ( t ) \ \
G
d t
τ
(η) (η) +
Σ
II
B
j
x
^
-
B
j
x
^
m
c
}
T
<
ε Μ (
1+
\\x°°(t) -
i~(t)||G +
e R °
+
ß ( n ) ±
T } .
Section 22
Approximate Solution of the Periodic Problem of Control
269
imply that ||s°°(t)-i~(t)|| G (n)
||:ro "
+
(n)
|| +ε J μ ( ί ) χ ° ° ( ί ) - A (t) ®~(t)||o
f jjUl - (ul jjdt +
Σ
J
ε\\Βόχ~{ΐ)Λ)χ~{ϊ)\\0
T
t
< [1 + 2eR°(T + ά)]η(η) + JEM{2
+
^
(n)
+ ψ) ||χ°°(ί) - χ°°(ί)ΙΙσ dt
εΜ||χ~(ί)-ί~(ί)|| σ .
T
By using Statement 19.V, we obtain
< 77(77.)[1 + 2eR°(T + d)}{eM)dexp{sM(2
+
} =
and, hence, ||«i - SS II < η(η)ε(ψ
+ ί){ΜΡι
+ R°).
PlV(n)
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