A note on the global stability of generalized difference equations

A note on the global stability of generalized difference equations

PERGAMON Applied Mathematics Applied Mathematics Letters Letters 15 (2002) 655-659 www.elsevier.com/locate/aml A Note on the Global Stability of ...

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PERGAMON

Applied Mathematics

Applied Mathematics Letters

Letters 15 (2002) 655-659

www.elsevier.com/locate/aml

A Note on the Global Stability of Generalized Difference Equations E. LIZ* Departamento

de Matemdtica Universidade

Aplicada,

de Vigo,

E.T.S.I.

Campus

36280 Vigo,

Telecomunicackk

Marcosende

Spain

[email protected]

J. B. Depto. Universidade

de Matem6tica de Santiago

FERREIRO

Aplicada,

E. P. Superior

de Compostela,

Campus

27002 Lugo,

de Lugo

Universitario

s/n

Spain

[email protected]

(Received

August 2001; accepted

Communicated

October

2001)

by R. P. Agarwal

Abstract-In this note, we prove a discrete analogue of the continuous Halanay inequality and apply it to derive sufficient conditions for the global asymptotic stability of the equilibrium of certain generalized difference equations. The relation with some numerical schemes for functional delay differential equations is discussed. @ 2002 Elsevier Science Ltd. All rights reserved.

Keywords-Global of functional

asymptotic stability, Difference equations, Halanay inequality, Discretization

differential equations.

1. INTRODUCTION In [l, Section 4.51, Halanay proved an asymptotic formula for the solutions of a differential inequality involving the “maximum” functional, and applied it in the stability theory of linear systems with delay. Such inequality was called H&nay inequality in several works [2-71, in which some generalizations and new applications can be found. In particular, in [6,8], the authors consider discrete Halanay-type inequalities in order to study some discretized versions of functional

differential

As it is pointed

equations. out in [6], although

there

are many

numerical

schemes

to approximate

the

solutions of continuous type systems, the asymptotic behaviour of the two types of systems (discrete and continuous) do not often coincide. For other comments on the difference between the dynamics of a continuous time delay differential equation and its discrete version, see also [8]. *Author to whom all correspondence should be addressed. Research partially supported by D.G.E.S. Project

(Spain),

PB97-0552.

0893-9659/02/s - see front matter @ 2002 Elsevier Science Ltd. All rights reserved. PII: SO893-9659(02)00024-l

Typeset

by AM-‘&$

E. LIZ AND J. B. FERFLEIRO

656

The purpose of this note is to give a simple discrete to obtain results on the global asymptotical stability Moreover, stability)

we show that in certain

the discretization

the classical

delay equations

criterion

In this section, point

could

stability

equation

(or delay-independent

using the Euler scheme

if

step is small enough.

HALANAY

we give a discrete

be deduced

version

from [6, Theorem

out how the constant

First,

on the absolute

holds for the discretized

2. DISCRETE result

version of Halanay’s lemma, and to apply it of certain generalized difference equations.

X0 involved

we give some preliminaries

INEQUALITY

of the original 3.11, we include

in the asymptotic

on the difference

Ax:, = f(n, x,, G-I,.

Halanay

inequality.

here our simpler

formula

Although

our

proof in order

to

can be easily obtained.

equation

. . xv,),

(1)

n E N,

(1) is a class of generalized difference where Ax, = x,+1 - xn, and f : N x IRrfl + Et. Equation equation (see [9, Section 21). The initial value problem for this equation requires the knowledge of initial data {x_,, x_~+I,. . . , x0). This vector is called initial string in [8]. For every initial string, there

exists a unique

solution

{x~},Q-~

of (1) that

can be calculated

by the explicit

recurrence

formula 2 n+1

-

X72 + f(n,

THEOREM 1. Let r > 0 be a natural satisfying

Xn, Xv-l,.

and let {x,),2+

number,

If 0 < b < a 5 1, then there exists a constant

2,

~max{O,x~,x_~

X0 can be chosen as the smallest

x‘+’ + PROOF.

be a sequence

(2) of real numbers

the inequality

Axn 5 --ax, + bmax {x,, x,-l,.

Moreover,

n 2 0.

. . Xcn-r),

Let {y,}

be a solution Ayn = --a~,

X0 E (0,l)

,

n 2 0.

(3)

such that n > 0.

,... z_~}X~, root in the interval

(0,l)

of equation

(a - l)Xr - b = 0.

of the difference +

. . ,x,_,.}

(4)

equation

bmax { yn, ~~-1,.

. . , y+,.}

Since 1 -a > 0, b > 0, it is easy to prove that if {x,} satisfies then x, < yn for all n 2 0.

,

n 2 0.

(3) and x, 5 yn for n = -r,

(5) . . , 0,

Now, if K > 0, X E (0, l), the sequence {y,} defined by yn = KXn is a solution of equation (5) on if and only if X is a solution of (4). Define F(X) = XV+’ + (a - 1)X’ - b. F is continuous (O,l], limx_o+ F(X) = -b < 0, and F(1) = a - b > 0. Hence, there exists X0 E (0,l) such that F(Xo) = 0 (we can choose the smallest value of X satisfying this equation since F(X) is a polynomial and it has at most r + 1 real roots). Thus, for this X0, {KX;} is a solution of (5) for every K > 0. Finally, let K = max{O,x_,, . . ) 20). Clearly, y, 2 2, for all n = -r, . . . , 0. Hence, using the first part of the proof, we can conclude that x, 5 yn = KX; for all n 2 0.

Generalized Difference Equations

657

3. ASYMPTOTIC STABILITY OF GENERALIZED DIFFERENCE EQUATIONS In this section, we consider the following generalized difference equation: Ax,

= -ax,

+ f(n,x,,x,-l,~~

Although for every initial string {x_,., x+,+1,. calculated

a > 0.

.x:n-r),

(6)

. . ,x0}, the solution {x~} of (6) can be explicitly

by a recurrence similar to (2), in general it is difficult to investigate the asymptotic

behaviour of the solutions using that formula. The next result gives an asymptotic

estimate by

a simple use of the discrete Halanay inequality. THEOREM 2. Assume that

0 < a 5 1 and there exists a positive constant b < a such that

,xn_r)l < bll(xcn,. ..,xn--T)llco,

I.f(n,h...

Then there exists X0 E (0,l)

v(x:n,.

such that for every solution {xn}

,xn-r) E

JF+l.

of (6), we have

where X0 can be calculated in the form established in Theorem 1. As a consequence, the trivial solution of equation (6) is globally asymptotically PROOF.

(7)

stable.

Let {xcn} be a solution of equation (6). From [9, Section 11, we know that n-1 2 71= x()(1 -a)”

+ X(1

- a)n-i-1f(i,2i,.

. . ,xi-r),

11 2

0.

i=O

Thus, using (7), we obtain n-1

Ixnl 5 Ixol(l - CX)~ + x(1

- a)n-2-1bmax{~x,~,.

. . , Ix+-/},

n > 0.

i=O

Denote v, = )x,1 for n =

-T,

.

. . , 0, and n-1

Y,

lxo/(l - CZ)~+ x(1

=

- u)n--z-lbmax{lx:iI,

. . . >[Xi-rl}r

i=O

for n > 0. We have that Ix,1 5 II,, and hence, Au, = --a~, + bmax{jx,l,.

. . , Ix:n_rl} 5 --au, + bmax{v,

3

.

.

. ,

%L-T),

n > 0.

Theorem 1 ensures that

with X0 as it was indicated in the statement EXAMPLES. equations

Equation

of the theorem.

(6) covers a variety of difference equations. Axe, = -ax,

+ f(x,-lc),

a > 0,

For instance, we can mention (8)

investigated recently in [lo]. Theorem 2 ensures that if there exists b > 0 such that If(x)1 < blxl for all x, and b < a < 1, then all solutions of (8) converge to zero.

E. LIZ AND J. B. FERREIRO

658

On the other hand, condition (7) is satisfied equations. We can mention equation

by some linear and nonlinear

generalized

difference

71

Xn+1 =

for which Theorem

bi E R,

bixir

c

(9)

i=TL-r

2 gives the global asymptotic

SUP

stability

2

lbil <

of the equilibrium

if

(10)

1,

QeN icn-r since equation

(9) can be rewritten

in the form

Axe, = -2,

-t- f(x,,

with f(x,, . . . ,x,_,.) = ~~=“=,_, bixi. For example, +... -I- 2,_,) if p > r + 1. For more general refer the reader

results

on the asymptotic

to [9, Section

. . . , xv,), (10) is satisfied

behaviour

by equation

of generalized

x,+1

difference

= (l/p)(x, systems,

we

91.

We also point out that Theorem 2 applies to the linear difference equation x,+1 = bxn. In this case, the condition provided by our theorem is precisely (bl < 1. Thus, with some reservations, we can affirm that our result is sharp in some sense. REMARKS.

using

A similar result to Theorem 2 can be obtained for systems of difference equations appropriate norms of vectors and matrices. Moreover, our result can be also extended

generalized

difference

equations

with variable

coefficients

a, using the results

by to

in [6].

4. DISCRETIZATION OF DELAY EQUATIONS Let us consider

the functional

differential

equation

x’(t) = -ax(t) +

b(t)f(t,xt),

x0 = 4,

(11)

where 4 E C(I), I = [-r,O], xt E C(I) is defined by Q(S) = x(t + s) for s E I, f : IR x C(I) -+ LR is a continuous functional, a > 0 and b E L”(R,R). Using the continuous

II41= mwd

Halanay

inequality,

one can prove (see [4, Corollary

14s(s)/ forall4 E C(I),and esssup]b(t)]

3.21) that if ]f(t, d)] <

= b < a, then all solutions

of (11) converge

to zero. We are interested in studying if the delay-independent condition b < a for the global stability of (11) is preserved when we use a numerical scheme to approximate the solutions of (11). First, we propose the following idea to perform this approximation. We divide the interval I into r subintervals of the same length h = T/r (h will be the discretization step), and introduce the notations to = 0, t n+i = t, +ih, x(tn) = xn, x(t, +ih) = x n+i, i E Z. Since the initial function 4 is known, we can calculate x, = $(tn) for n = -r, . . . ,O. On the other hand, given r + 1 points p,_, = (tn-r,~C71--T), . . . ,p, = (t%,x,), we define $, : [tn+, tn] -+ I!%as the piecewise linear function connecting the points p,_,, . . . ,p,, and cpn(t) = qn(t - t,). Since (Pi E C(I), we can evaluate f(tn, cp,). Thus, we can use the explicit Euler discretization method to approximate the solutions of (5) in the form x,+1

- xn

h

= -ax,

+ j((n, x,, . . . , x,-,),

n > 0,

(12)

Generalized Difference Equations

where f(n, z,, . . . ,x,x-,) = b(kJf(tn, Moreover, he%, xn, . . . ,x,_,).

cp,). N ow, we can rewrite

659

(12) in the form AXE = -ahx,

+

Ihf(n,x,, . . .,x,&I = lh~(tn).f(~n,ad 5 hW,4 = Wl(xn,. . . ,xn-r)llm. Thus,

Theorem

2 allows us to ensure that all solutions of (12) converge to zero if bh < ah < 1, Hence, for a sufficiently small size of the discretization step, we can

that is, if b < a and h 1. l/a.

affirm that difference

the asymptotic equation

stability

properties

of equation

(11) are preserved

for the generalized

(12).

REFERENCES 1. A. Halanay, Differential Equations: Stability, Oscillations, Time Lags, Academic Press, New York, (1966). 2. C.T.H. Baker and A. Tang, Generalized Halanay inequalities for Volterra functional differential equations and discretized versions, In Voltewa Equations and Applications. Stability Control: Theory, Methods and Applications, Volume 10, pp. 39-55, Papers from the Volterra Centennial Symposium, University of Texas, Arlington, TX, May 23-24, 1996, (Edited by C. Corduneanu and I.W. Sandberg), Gordon and Breach, Amsterdam, (2000). 3. K. Gopalsamy, Stability and oscillations in delay differential equations of population dynamics, In Mathematics and its Applications, Volume 74, Kluwer, Dordrecht, (1992). 4. A. Ivanov, E. Liz and S. Trofimchuk, Halanay inequality, Yorke 3/2 stability criterion, and differential equations with maxima, Tohoku Math. J. (to appear). 5. E. Liz and S. Trofimchuk, Existence and stability of almost periodic solutions for quasilinear delay systems and Halanay inequality, J. Math. Anal. Appl. 248, 625-644, (2000). 6. S. Mohamad and K. Gopalsamy, Continuous and discrete Halanay-type inequalities, Bull. Aus. Math. Sot. 61, 371-385, (2000). 7. M. Pinto and S. Trofimchu, Stability and existence of multiple periodic solutions for a quasilinear differential equation with maxima, Proc. Roy. Sot. Edinburgh Sect. A 130, 1103-1118, (2000). 8. K.L. Cooke and A.F. Ivanov, On the discretization of a delay differential equation, J. Di;fJeer. Equations Appl. 6, 105-119, (2000). 9. R.P. Agarwal and P.J.Y. Wong, Advanced topics in difference equations, In Mathematics and its Applications, Volume 404, Kluwer, Dordrecht, (1997). 10. I. Gyori and S. Trofimchuk, Global attractivity and persistence in a discrete population model, J. Difier. Equations Appl. 6, 647-665, (2000).