• Aucun résultat trouvé

Stability and asymptotic equivalence of perturbations of nonlinear systems of differential equations

N/A
N/A
Protected

Academic year: 2022

Partager "Stability and asymptotic equivalence of perturbations of nonlinear systems of differential equations"

Copied!
12
0
0

Texte intégral

(1)

R ENDICONTI

del

S EMINARIO M ATEMATICO

della

U NIVERSITÀ DI P ADOVA

M. E. L ORD

Stability and asymptotic equivalence of perturbations of nonlinear systems of differential equations

Rendiconti del Seminario Matematico della Università di Padova, tome 67 (1982), p. 1-11

<http://www.numdam.org/item?id=RSMUP_1982__67__1_0>

© Rendiconti del Seminario Matematico della Università di Padova, 1982, tous droits réservés.

L’accès aux archives de la revue « Rendiconti del Seminario Matematico della Università di Padova » (http://rendiconti.math.unipd.it/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions).

Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit conte- nir la présente mention de copyright.

Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques

http://www.numdam.org/

(2)

Stability Asymptotic Equivalence

of Nonlinear Systems of Differential Equations.

M. E. LORD

(*)

1. Introduction.

A nonlinear variation of constants method was introduced

by

Alekseev

[1]

and

applications

of this formula to

questions

of

stability

and

asymptotic equivalence

of differential

systems

was demonstrated

by

Brauer

[2, 3, 4].

In

[6]

a different

approach

to the nonlinear varia- tion of constants method is

given.

This new

approach

involves deter-

mining

the solution of the

perturbed system by

variation of the

starting

vector in the

unperturbed system. Conceptually

this is the method used in

obtaining

the classical variation of constants formula for per- turbations of linear

systems.

In

[6]

the method

yields

two different

formulas,

one of which is

equivalent

to the Alekseev formula under the

hypothesis

which guar-

antees the Alekseev

representation. Also,

in

[6]

some

applications

to

stability

and

asymptotic equilibrium

are

given.

The

approach

introduced in

[6]

was shown to be

applicable

for

the

study

of

integral

and

integro-differential systems

in

[7]

and for

the

study

of difference

equations

in

[8].

In this paper some further

applications

of the nonlinear variation of constants result of

[6]

are

(*) Indirizzo dell’A.:

Department

of Mathematics, The

University

of

Texas at

Arlington, Arlington,

Texas 76019, U.S.A.

This work was

performed

at the Scuola Internazionale

Superiore

di Studi

-£vanzati

(SISSA),

Trieste,

Italy,

with support from SISSA and The Uni-

versity

of Texas at

Arlington Organized

Research

Support

Grant No. 15687.

(3)

obtained for differential

equations.

The result on

asymptotic equiv-

alence is related to that

given by

Brauer

[3]

and is shown to com-

plement

those results.

2. Preliminaries.

In this section we

present

some

general hypothesis

used

throughout

the paper and

give

as lemmas some results obtained in

[6].

Consider

the

system

and its

perturbed system

where

.Rn]

and D is a convex

region

in R". The fol-

lowing

lemma is obtained in

[Theorem 2.1, 6].

LEMMA 1.

Suppose

that the

system (2.1)

admits a

unique

solu-

tion

x(t, to, xo). Also,

assume that

0(t, to, xo)

=

to, xo)

exists,

and is continuous for

t ~ to

and that

to, xo)

exists for t ~

to.

If

v(t)

is a solution of

(2.4)

or

(2.5)

then any solution

y(t, to, xo)

of

(2.2)

satisfies

as far as

v (t)

exists to the

right

of to .

As shown in the

proof

of Lemma 1

v(t)

must

satisfy

the initial

value

problem

Integration

of

(2.4) yields

(4)

Formula

(2.3) gives

one form of the nonlinear variation of constants formula. A second

integral

form is

given

in

[6] by

LEMMA 2. Under the

hypothesis

of Lemma

1,

the

following

rela-

tion is valid

where

v(t)

is any solution of

(2.4)

or

(2.5).

The nonlinear variation of constants

type

results due to Alekseev

[1,

or p. 74 in

5]

is of the form

This formula is obtained under the

assumption

that

fx(t, x)

is con-

tinuous for

(t, x)

The

proof

of

(2.7)

uses the facts that solu- tions

x(t, to, xo)

of

(2.1)

are

unique,

differentiable with

respect

to ini-

tial data and satisfies

where

0(t, to, xo)

is the fundamental matrix solution of the variational

equation

From

[6]

we have

LEMMA 3. Assume that

x)

E then formulas

(2.6)

and

(2.7)

are

equivalent.

(5)

The

proof

of Lemma 3 demonstrates that

where

v(t)

is a solution of

(2.4)

or

(2.5).

A final

preliminary

result is

given by

LEMMA 4. If

xo, yo E D

then any solution of

(2.1)

satisfies

The

proof

of this estimate is obtained

by integration

from s = 0

to s = 1 of the

expression

In

[6]

results on uniform

stability

and

asymptotic equilibrium

are

presented.

These results are obtained

using

the

hypothesis

of Lemma 1

together

with the estimate

where g

E

C[R+

X

R+, R+], g(t, 0)

= 0.

By assuming appropriate

asymp-

totic behavior of the

comparison equation

corresponding asymptotic

behavior of the

perturbed system (2.2)

can

be determined. The remainder of this paper deals with further

appli-

cation of the estimate

(2.10).

It is also

emphasized

that these results

are obtained

using

the variation of constants formula

(2.3).

This

form is not available

using

the Alekseev method.

3.

Asymptotic equivalence.

The two

systems (2.1)

and

(2.2)

are said to be

asymptotically

equivalent

if

given

a solution

y(t, to, yo)

of

(2.2)

there exists a solution

(6)

x(t, to, xo)

of

(2.1) satisfying

and, conversely, given x(t, to,

a solution of

(2.1)

there exists

y(t, to, yo)

a solution of

(2.2) satisfying (3.1).

The

following

theorem relates the

asymptotic equivalence

of the two

systems (2.1)

and

(2.2).

THEOREM 3.1. Assume the

hypothesis

of Lemma 1 and

0(t, to, x’o)

is bounded for t ~ to and

Xo E D. Further,

assume the estimate

(2.11) where g

is monotone

nondecreasing

in u for each fixed t E

R+

and all solutions of

(2.12)

are bounded on

t ~ to .

Then

given y ( t, to , yo)

a

solution of

(2.2)

there exists a solution

x(t, to, xo)

of

(2.1) satisfying (3.1).

PROOF. Now any solution of

(2.2)

can be

represented by

where

v(t)

is a solution of

(2.4)

with

v(to)

= yo. The estimate

(3.1)

guar- antees

v(t)

has

asymptotic equilibrium by

a result in

[Theorem 2.9.1, 5].

Thus let

v ( t )

denote the solution of

(3.1)

with

v ( to )

== yo and take

Now Lemma 4

together

with the boundedness of

0(t, to, gives

from which it follows that

y(t, to , xo) -~ a(t, xo)

as t -

+

oo.

We remark that this

only

shows in one direction the condition for

asymptotic equivalence.

A

complete asymptotic equivalence

result

could be obtained if the b oundedne s s of

yo )

=

to , yo )

is assumed.

The

asymptotic equivalence

would then follow if

(2.1)

was con-

sidered as a

perturbation

of

(2.2).

The

question

of

complete

asymp- totic

equivalence

with conditions on

0(t, to, xo)

are studied

by

Marlin

(7)

and Struble

[9].

This

problem

will not be

pursued

in this paper.

We would

expect

that in most

applications,

Theorem 1 would cover

the useful

part

of the

problem.

Theorem 3.1 is seen as a

generalization

of a result

[Theorem 2.10.2, 5],

where the

system (2.1)

is linear.

THEOREM 3.2. Assume that solutions of

are bounded as t -

+

oo and

Further,

assume

where FE and

~,(t) ~ 0

is continuous on

1~+ satisfying

Then

given

any solution of

y’ = A(t) y + F(t, y) existing

for

t ~ to

there exists a solution of

(3.2)

such that

y(t, to, yo) - x(t, to, xo)

- 0 as t -~ oo.

PROOF. The estimate

(3.3) implies to) 11

is bounded for all

t ~ to .

Thus the

inequality (3.4) gives

where

A(t)

is scaled

by

a constant factor. The

hypothesis (3.5)

guar-

antees solutions of ~’ =

g(t, u) = 2(t)u

are bounded for all

t ~ to .

Clearly,

y

2(t)u

is monotone

nondecreasing

in u. Theorem 1

gives

the

desired result.

(8)

Note that in

applying

Theorem 3.1

just

one side of the asymp- totic

equivalence

is obtained.

An

asymptotic equivalence (one sided)

result is

given by

Brauer

[Theorem 4, 3]

under the

hypothesis

of Lemma 3.

THEOREM 3.3.

Suppose

for

y(t, to, yo)

a solution of

(2.2)

that

Then there exists a solution

x(t, to, xo)

of

(2.1)

such that

In

particular y(t, to, yo) - x(t, to, xo)

- 0 as t -

+

00.

The

relationship

between Theorem 3.1 and Theorem 3.3 will be considered. It will now be shown that under the

hypothesis

of The-

orem 3.1 a condition similar to

(3.5)

holds and under the further

hypothesis

of Lemma 3 this condition agrees with

(3.5).

Recall from the

proof

of Theorem 3.1 that

for

v(t)

a solution of

(2.4)

and

v(t)

has

asymptotic equilibrium. Solving (3.7)

for

v(t) gives

and let

From the boundedness

xo )

Now x(t, T, y(T))

=

x(t, to, v(T))

so that

(3.10)

and

(3.11) imply

(9)

Integration

from t to T of

yields

Taking

the limit as T 2013&#x3E;

+

oo

implies

From the

proof

of Theorem 3.1

therefore,

It is clear now that if the conditions of Lemma 3 are satisfied then conditions

(3.12)

and

(3.13)

reduce to conditions

(3.7)

and

(3.6),

respec-

tively.

In

determining asymptotic equivalence

Brauer

[3] applies

a corol-

lary

of Theorem 3.3 which assumes boundedness of

0(t, to, xo)

uni-

00

formly

in and mo

E D,

and

y(s)) ds

oo . The condi-

o

tion in Theorem 3.1 assumes boundedness of

to , xo)

for

t&#x3E; to

and

xo E D,

that

is,

we do not

require

boundedness with

respect

to

to .

This

provides flexibility

in

applications

as demonstrated

by

the fol-

lowing example.

(x + 1)

In

(x + 1), x(to)

= xo

&#x3E; - ~ .

The solution is

given by

(10)

Then

0(ti to, xo)

has the

property

that it is

uniformly

bounded in t and x,, if mo is bounded away

from -1,

say mo

&#x3E; - 2 ,

but

0(t, to, xo)

is not

uniformly

bounded in

to .

Now

~-1(t, to, xo)

exists and Theorem 3.1

applies

to any

system y’ - - ( y + 1)

In

(y -)- 1) + F(t, y) satisfying

where g

meets tlle conditions stated in Theorem 3.1.

4.

Stability.

The estimate

(2.10)

can be used to obtain

stability

results. The first theorem

gives

conditions under which

stability (uniform stable)

are

preserved.

THEOREM 4.1. Assume the conditions of Lemma 1 and the estimate

holds,

where g E

C[R+

X

R+, R+], g(t, 0)

_--_ 0 and the trivial solution of

is stable

(uniformly stable). Further,

y assume the trivial solution of

(2.1)

is stable

(uniformly stable).

Then the trivial solution of

(2.2)

is stable

(uniformly stable).

This theorem for the case of uniform

stability

is

given

in

[6].

Therefore,

the

proof

is omitted. It is

given

here with the additional

result for

stability

for

completeness.

The next theorem is new and its

proof

is similar to the

proof

of

Theorem 4.1.

THEOREM 4.2. Assume the conditions of Lemma 1 and the esti- mate

(4.1) holds,

where the trivial solution of

(11)

is stable

(uniformly stable). Further,

assume the trivial solution of

(2.1)

is

asymptotically

stable

(unif ormly asymptotically stable).

Then

the trivial solution of

(2.2)

is

asymptotically

stable

(uniformly

asymp-

totically stable).

PROOF. The

stability

of

(2.1)

and

(4.2) implies by

Theorem 4.1 the

stability

of

(2.2). By

Lemma 1 any solution of

(2.2)

satisfies

where

v(t)

is a solution of

(2.4).

The

assumption (4.1)

then

implies, setting m(t) =

, the

inequality

which

by

the

comparison

theorem

[Theorem 1.4.1, 5] yields

the esti-

mate

where

r(t, to, uo)

is the maximal solution of

(4.2).

The

asymptotic stability

of

(2.1) implies

there is a 0 such that when 8 &#x3E;

0,

are

given

there exists

to) satisfying 11 x (t, to, xo) II 8

for

t ~ T ~

~ (E, to)

and

Ilxoll

the

stability

of

(4.2) implies

there is a 6

depending

on

ð1

and

to

such that

r (t, to ,

whenever

11 X0 ~~

ð.

Thus

to ,

whenever

11 x,, ~~

6. The solution of

(2.2 )

then satisfies

This

completes

the

proof

of the

asymptotic stability.

The uniform

asymptotic stability

is similar to the above

except

T and 6 are inde-

pendent

of

to .

THEOREM 4.3. Assume the conditions of Lemma 1 and the esti- mate

(4.1) holds,

where solutions of

are bounded for all

t ~ to . Further,

assume the zero solution of

(2.1)

(12)

is

exponentially asymptotically stable,

then the zero solution of

(2.2)

is

exponentially asymptotically

stable.

PROOF.

Arguing

as in the

proof

of Theorem 4.2 we have

Thus the

exponentially asymptotic stability

of the zero solution of

(2.2)

follows since the boundedness of solutions of

(4.2) implies

the

boundedness of

Ilv(t) II

for all

t ~ to.

REFERENCES

[1]

V. M. ALEKSEEV, An estimate

for perturbations of

the solutions

of ordinary differential equations,

Vestnik Moscov Univ. Ser. 1, Math. Mek., No. 2 (1961), pp. 28-36.

[2] F. BRAUER, Perturbations

of

nonlinear systems

of differential equations,

J. Math. Anal.

Appl.,

14

(1966),

pp. 198-206.

[3] F. BRAUER, Perturbations

of

nonlinear systems

of differential equations,

II, J. Math. Anal.

Appl.,

17 (1967), pp. 418-434.

[4] F. BRAUER, Some

Stability

and Perturbation Problems

for Differential

and

Integral Equations,

Instituto de Matematica Pura e

Applicada,

Mono-

grafias

de Matematica, No. 25, Rio de

Janeigo,

1976.

[5] V. LAKSHMIKANTHAM - S. LEELA,

Differential

and

Integral Inequalities,

Academic Press, New York, 1969.

[6] M. LORD - A. R. MITCHELL, A new

approach

to the method

of

nonlinear

variation

of

constants,

Appl.

Math. and

Comp.,

4 (1978), pp. 95-105.

[7]

M. LORD - S. BERNFELD, A nonlinear variation

of

constants method

for integro-differential

and

integral equations, Appl.

Math. and

Comp.,

4 (1978),

pp. 1-14.

[8] M. LORD, The method

of

nonlinear variation

of

constants

for difference equations,

J. Inst. Math.

Appl.,

23 (1979), pp. 285-290.

[9] J. MARTIN - R. STRUBLE,

Asymptotic equivalence of

nonlinear systems, J. Diff.

Eq.,

6 (1969), pp. 578-596.

Manoscritto

pervenuto

in redazione il 12 novembre 1980.

Références

Documents relatifs

Ezzinbi, Existence of a periodic solution for some partial functional differential equations with infinite delay, Journal of Mathematical Analysis and Applications, Vol.. Hale,

Persson, Singular holomorphic solutions of linear partial differential equations with holomorphic coef- ficients and nonanalytic solutions of equations with analytic

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In particular we present an asymptotic functional equa- tion for potential asymptotic behaviour, and a theorem stating sufficient conditions for the existence of an actual solution

ASYMPTOTIC RATES OF DECAY FOR SOME NONLINEAR ORDINARY DIFFERENTIAL EQUATIONS AND VARIATIONAL.. PROBLEMS OF

Under some hypothesis on the structure of the spectrum of the linearized operator, we prove that, asymptotically in time, the solution decomposes into a solitary wave with

SONER, Optimal control of jump-Markov processes and viscosity solutions, in Stochastic Differential Systems, Stochastic Control Theory and Applications,

expansion of the solutions in the star algebra furnishes the Green func- tions for the retarded solutions in explicit form, thus generalizing the previous results