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R E S E A R C H

Open Access

Asymptotic behavior of impulsive

non-autonomous delay difference equations with

continuous variables

Danhua He

1*

and Qing Ma

2

* Correspondence: danhuahe@zisu. edu.cn

1Department of Mathematics, Zhejiang International Studies University, Hangzhou, 310012, P. R. China

Full list of author information is available at the end of the article

Abstract

In this article, a class of impulsive non-autonomous delay difference equations with continuous variables is considered. By establishing a delay difference inequality with impulsive initial conditions and using the decomposition approach, we obtain the attracting and invariant sets of the equations.

Keywords:attracting set, invariant set, non-autonomous, difference inequality, impulsive

Introduction

Recently, there has been an increasing interest in the study of the asymptotic behavior and other behaviors of the difference equations with continuous variables in which the unknown function is a function of a continuous variable. In particular, delay effects on the asymptotic behavior and other behaviors of this kind of equations have widely been studied in the literature [1-7].

However, besides delay effects, impulsive effects likewise exist in a wide variety of evolutionary process, in which states are changed abruptly at certain moments of time. Recently, impulsive delay difference equations have extensively been studied by many authors. For example, the reader is referred to [8-13]. Unfortunately, impulsive delay difference equations with continuous variables are not well developed due to some the-oretical and technical difficulties. Some sufficient conditions for the existence of the invariant and attracting sets of impulsive delay difference equations with continuous variables are obtained in [14,15]. To the best of the authors’knowledge, there are no results on the corresponding problems for impulsive non-autonomous delay difference equations with continuous variables. With motivation from the above discussions, this article is devoted to the discussion of this problem. By establishing a delay difference inequality with impulsive initial conditions and using the decomposition approach, we obtain the attracting and invariant sets of the equations.

Preliminaries Let Rn(Rn

+) be the space of n-dimensional (non-negative) real column vectors,

Rm×n(Rm×n

+ ) be the set ofm×n(non-negative) real matrices,E be the n-dimensional

unit matrix, and |·| be the Euclidean norm of ℝn. For A, B Î ℝm×n orA, B Î ℝn,

(2)

A ≥B(A≤ B, A >B, A <B) means that each pair of corresponding elements ofA and

B satisfies the inequality“≥ (≤, >, <)”. Especially, Ais called a non-negative matrix if

A ≥ 0, andz is called a positive vector ifz > 0. N {1, 2, . . . n} andϱ(A) denotes the spectral radius of A.

C[X, Y] denotes the space of continuous mappings from the topological spaceX to the topological spaceY. Especially, letC≜C[[-τ2, 0],ℝn], whereτ2 > 0.

PC[J,Rn] =

ψ:JR(s) is continuous for all but at most countable pointss∈J

and at these pointss∈J, ψ(s+) andψ(s)exist,ψ(s) =ψ(s+)

,

where JR is an interval, andψ(s+) andψ(s-) denote the right- and left-hand limits of the the functionψ(s), respectively. Especially, letPC≜PC[[-τ2, 0],ℝn].

In this article, we consider the following impulsive non-autonomous delay difference equation with continuous variable

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

xi(t) =ai(t)xi(tτ1) + n j=1

aij(t)fj((xj(tτ2)), t=tk, tt0, iN,

xi(t) =Jik(xi(t−)), tt0, t=tk, k= 1, 2, . . ., iN,

xi(t0+θ) =φi(θ), φiPC[[−τ2, 0], R], θ ∈[−τ2, 0],

(1)

whereai(t) =aih(t) andaij(t) =aijh(t),aiandaijare real constants,h(t)≤1 is a positive

integral function and satisfies supt≥t0ttτ

2h(s)ds=H2<∞andlimt→∞ t

t0h(s)ds=∞.

τ1 andτ2 are positive real numbers such thatτ1 <τ2. tk(k= 1, 2,...) is an impulsive sequence such thatt1< t2<..., limk®∞tk=∞.fjandJik:ℝ®ℝare real-valued functions. Moreover, we assume thatfj(0) = 0 andJik(0) = 0, then system (1) admits an equilibrium solutionx(t)≡0.

By the solution of (1), we mean a piecewise continuous real-valued function xi(t) defined on the interval [t0- τ2,∞) which satisfies (1) for allt≥t0.

By the method of steps, one can easily see that, for any given initial function jiÎPC [[-τ2, 0],ℝ], there exists a unique solutionxi(t), iN, of (1).

For convenience, we rewrite the system (1) as the following vector form ⎧

⎨ ⎩

x(t) =h(t)[A0x(tτ1) +Af(x(tτ2))], t= tk, tt0,

x(t) =Jk(x(t−)), tt0, t=tk, k= 1, 2, . . .,

x(t0+θ) =φ(θ), θ ∈[−τ2, 0],

(2)

wherex(t) = (x1(t),...,xn(t))T, A0= diag{a1,...,an},A= (aij)n×n,f(x) = (f1(x1),...,fn(xn))T,

Jk(x) = (J1k(x1),...,Jnk(xn))T, andj= (j1,...,jn)TÎ PC.

Definition 2.1. The set S ⊂ PC is called a positive invariant set of (2), if for any initial value jÎS, the solutionxt(t0, j)Î S, t≥t0, wherext(t0, j) =x(t+s, t0,j)Î

PC, s Î[-τ2, 0].

Definition 2.2. The setS⊂PCis called a global attracting set of (2), if for any initial valuejÎ PC, the solutionx(t, t0,j) satisfies

dist(x(t, t0, φ), S)→0, ast→+∞,

where dist(j, S) = infψÎS dist(j,ψ), dist(j, ψ) = supθÎ[-τ2,0]|j(θ) -ψ(θ)|, forψÎPC.

(3)

|x(t, t0, φ)| ≤κ0||φ||eλ0(tt0), tt0,

where ||∅|| = supθ[τ2,0]|∅(s)|.

Following [16], we split the matricesA0,Ainto two parts, respectively,

A0=A+0−A0−, A=A+−A

with a+i = max{ai, 0}, ai = max{−ai, 0}, a+ij= max{aij, 0}, aij = max{−aij, 0}.

Set y = -x, g(u) = -f(-u). Then, by a similar argument with [15], we can get the fol-lowing equations from the first equation of (2)

v(t) =h(t)[A0v(tτ1) + (v(tτ2))], (3)

where

v(t) =

x(t) y(t)

, ξ(v(t)) =

f(x(t)) g(y(t))

, A0=

A+0A0 A0 A+0

, A=

A+ AAA+

.

SetIk(u) = -Jk(-u); in view of the impulsive part of (2), we have

v(tk) =ωk(v(tk)),k= 1, 2,. . ., (4)

whereωk(v) = (Jk(x)T, Ik(y(t)T)T. Lemma 2.1. [17,18]IfMRn×n

+ andϱ(M) < 1,then(E - M)

-1

0.

Lemma 2.2. [18]Suppose that MRnnand ϱ(M) < 1,then there exists a positive

vector z such that (E - M)z> 0.

For MRn×n+ andϱ(M) < 1, we denote

(M) ={zRn|(EM)z>0, z>0}.

In order to discuss the asymptotic behavior of (2), and for the brevity of later discus-sion, we list all our conditions as follows.

(A1) For any x, y Îℝn , there exists a non-negative diagonal matrix P¯ and vector

μ= (μ1,...,μn)T≥0 such that

f(x)−f(y)≤ ¯P(xy) +μ. (5)

(A2) For any x, yÎℝn, there exist nonnegative matricesRksuch that

Jk(x)−Jk(y)≤Rk(xy), k= 1, 2,. . .. (6)

(A3) Let (A0+AP)<1, where P = diag{¯P,P¯}.

(A4) There exists a constantgsuch that

lnγk tk

tk−lh(s)ds

γ < λ, k= 1, 2,. . ., (7)

where the scalar lsatisfies 0 <land is determined by the following inequality

(4)

where z= (z1,. . .,z2n)T(A0+AP), and

γk≥1 and γkzRkz,Rk= diag{Rk, Rk}, k= 1, 2,. . .. (9)

(A5) Let

σ =

k=1

lnσk<∞, k= 1, 2,. . ., (10)

wheresk≥1 satisfy

Rk(EA0AP)−1Aσk(EA0AP)−1A, (11)

whereΛ= (μT

,μT)T.

Main results

In this section, we will give the main results of this article. The proofs of these results are placed in the following section for the sake of brevity.

Theorem 3.1. Let P= (pij)n×n, W= (wij)n×nR+n×n, I= (I1,. . .,In)TRn+, and u(t) Î ℝn

be a solution of the following delay difference inequality with the initial condi-tion u(t0 +θ) = j(θ),θÎ [-τ2, 0]jÎ PC,

u(t)≤h(t)[Pu(tτ1) +Wu(tτ2) +I], tt0, (12)

where τ2 > τ1, h(t) ≤ 1 is a positive integral function and

limt→∞tt0h(s)ds=∞and limt→∞ t

t0h(s)ds=∞.

Ifϱ(P+W) < 1,then there exists a positive vector z= (z1,z2,...,zn)Tsuch that

u(t)≤κzeλ t

t0h(s)ds+ (EPW)−1I, tt0, (13)

provided that the initial condition satisfies

u(t)≤κzeλ t

t0h(s)ds+ (EPW)−1I, κ0,t[t

0−τ2, t0], (14)

where the positive numberl> 0is determined by the following inequality

(PeλH1+WeλH2−E)z0, (15)

where H1suptt0 t

tτ1h(s)ds.Clearly, H1<H2<∞.

Theorem 3.2. If(A1)-(A5) hold, then S={φPC| −eσN2φeσN1}is a global

attracting set of (2), where N1,N2Rn and (NT

1, N2T)T=Nˆ = (EA0AP)−1A. Theorem 3.3.If(A1)-(A3)with Rk≤E hold, then S={φPC| −N2φN1} is

a positive invariant set and also a global attracting set of (2), where N1,N2Rn and

(NT

1, N2T)T=Nˆ = (EA0AP)−1A

For the case I= 0, we easily observex(t)≡0 is a solution of (2) from (A1) and (A2).

In the following, we give the attractivity of the zero solution and the proof is similar to that of Theorem 3.2.

Corollary 3.1. If(A1)-(A4) hold with I= 0,then the zero solution of (2) is globally

(5)

Proofs of main results

Proof of Theorem 3.1. SinceP, WRn×n

+ and ϱ(P+W) < 1, by Lemma 2.2, there exists a positive vector zÎΩϱ (P +W) such that (E - P - W))z> 0. By continuity, we know that (15) has at least one positive solution l, i.e.,

n

j=1

[pijeλH1+wijeλH2]zjzi, iN. (16)

Set

u(t) =v(t)eλ t

t0h(s)ds+N, tt0τ2, (17)

whereN= (E-P - W)-1I; substituting (17) into (12), we have v(t)eλ

t

t0h(s)ds+Nh(t)[P(v(tτ1)eλ

t−τ1

t0 h(s)ds+N)+W(v(tτ2)eλ

t−τ2

t0 h(s)ds+N)+I]. (18)

Then, by (18) andh(t)≤1, we obtain

v(t)≤h(t)[Pv(tτ1)

t

tτ1h(s)ds+Wv(tτ2) t

tτ2h(s)ds]. (19)

By (14) and (17), we get that

v(θ)≤κz,θ ∈[t0−τ2, t0]. (20)

Next, we will prove for any t≥t0,

v(t)≤κz. (21)

To prove (21), we first prove that for any positive constantε,

v(t)<(1 +ε)κz, tt0. (22)

If (22) is not true, then there must be at* >t0and some integerr such that

v(t)<(1 +ε)κz, for t∈[t0, t∗), vr(t∗) = (1 +ε)κzr. (23)

By using (16) and (19), we obtain that

(1 +ε)κzr=vr(t∗)≤h(t∗) n

j=1

[prjvj(t∗−τ1)eλ t

t∗−τ1h(s)ds+w

rjvj(t∗−τ2)eλ t

t∗−τ2h(s)ds]

<h(t∗)

n

j=1

[prjeλ t

t∗−τ1h(s)ds+wrj

t

t∗−τ2h(s)ds](1 +ε)κzj

h(t∗)

n

j=1

[prjeλH1+wrjeλH2](1 +ε)κzj

≤(1 +ε)κzr

which is a contradiction. Hence, (22) holds for all numbers ε> 0; it follows immedi-ately that (21) is always satisfied, which can easily be led to (13). This completes the

proof. □

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From (5) and Condition (6), we can claim that for anyvÎℝ2n,

ξ(v)≤Pv+, (24)

and

ωk(v)≤Rkv(tk),k= 1, 2,. . ., (25)

whereΛ= (μT,μT)T.

So by using (3) and (4) and taking into account (24) and (25), we get

v(t)≤h(t)[A0v(tτ1) +APv(tτ2) +A], (26)

and

v(tk)≤Rkv(tk),k= 1, 2,. . ., (27)

respectively.

Noting (A0+AP)<1 and A0, AP Rn×n+ , then, by Lemma 2.1, we can get

(EA0AP)−10 and Nˆ (EA0AP)1A0.

For the initial conditions: x(t0+θ) =j(θ),θÎ [-τ2, 0], wherejÎPC, we have

v(t)≤κ0zeλ

t

t0h(s)dsκ0zeλ t

t0h(s)ds+Nˆ, t∈[t0τ2, t0], (28)

where

κ0= ||φ||

min1≤i≤2n{zi}

, z(A0+AP).

Then, all the conditions of Theorem 3.1 are satisfied by (26), (28), and Condition (A3), we derive that

v(t)≤κ0zeλ

t

t0h(s)ds+Nˆ, t∈[t0, t1). (29)

Suppose for allι= 1,...,k, the inequalities

v(t)≤γ0· · ·γι−1κ0zeλ

t

t0h(s)ds+σ

0· · ·σι−1Nˆ, t∈[−1, ), (30)

hold, whereg0=s0= 1. Then, from (9), (11), (30), and (A2), the impulsive part of (2)

satisfies that

v(tk)≤Rkv(tk−)

Rk[γ0· · ·γk−1κ0zeλ

tk

t0h(s)ds+σ0· · ·σk−1Nˆ]

γ0· · ·γk−1γkκ0zeλ

tk

t0h(s)ds+σ0· · ·σk1σkNˆ.

(31)

This, together with (30) andgk,sk≥1, leads to

v(t)≤γ0· · ·γk−1γkκ0zeλ

t

t0h(s)ds+σ0· · ·σk1σkNˆ, t∈[tkτ2, tk]. (32)

On the other hand,

(7)

It follows from (32)-(33) and Theorem 3.1 that

v(t)≤γ0· · ·γk−1γkκ0zeλ

t

t0h(s)ds+σ0· · ·σk1σkNˆ, t∈[tk, tk+1). (34)

By the mathematical induction, we can conclude that

v(t)≤γ0· · ·γk−1κ0zeλ

t

t0h(s)ds+σ

0· · ·σk−1Nˆ, t∈[tk−1, tk),k= 1, 2,. . .. (35) From (7) and (10),

γk

tk

tk−1h(s)ds, σ0· · ·σk1,

we can use (35) to conclude that

v(t)≤ t1

t0 h(s)ds· · · tk−1

tk−2 h(s)dsκ0zeλ t

t0h(s)ds+σ0· · ·σk1Nˆ

κ0zeγ

t

t0h(s)dseλ t

t0h(s)ds+eσNˆ =κ0ze−(λγ)

t

t0h(s)ds+eσNˆ, t∈[tk1, tk), k= 1, 2, . . ..

This implies that the conclusion of the theorem holds and the proof is complete. □

Proof of Theorem 3.3. Similarly, the inequality (8) holds by (A3). For the initial

con-ditions:x(t0+s) =j(s),sÎ[-τ2, 0], wherejÎS, we have

v(t)≤(EA0AP)−1A, t[t

0−τ2, t0]. (36)

By (36) and Theorem 3.1 with= 0, we have

v(t)≤(EA0AP)−1A, t∈[t0, t1). (37)

Then, from (27) and Rk≤E,

v(t1)≤R1v(t−1)≤Ev(t−1)≤(EA0AP)−1A. (38)

Thus,

v(t)≤(EA0AP)−1A, t[t

1−τ2, t1]. (39)

Using Theorem 3.1 again, we obtain

v(t)≤(EA0AP)−1A,t∈[t1, t2). (40)

By introduction, we have

v(t)≤(EA0AP)−1A,t[t

k−1, tk),k= 1, 2,. . .. (41) Therefore, S={φPC| −N2φN1}is a positive invariant set. Sinceℛk≤E, a

direct calculation shows that gk =sk= 1 and s= 0 in Theorem 3.2. It follows from

Theorem 3.2 that the set Sis also a global attracting set of (2). The proof is complete. □

Illustrative example

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Example 4.1Consider the following impulsive delay difference equation:

whereaikand bikare non-negative constants, and the impulsive sequence tk(k= 1, 2,...) satisfy:t1 <t2 <· · ·, limk®∞tk=∞.

By simple computation, we know that σ

k=e

25k(0.3361, 0.3810, 0.3361, 0.3810)T,

σk(EA0AP)−1A=e 1

25k(1.2773, 0.8739, 1.2773, 0.8739)T.

Clearly, all conditions of Theorem 3.2 are satisfied. So

(9)

Case 4.2. Let α1k=α2k= 1 9e

1

2k and b1k=b2k = 0, then R

k= 19e 1

2kEE. Therefore,

by Theorem 3.3, S= {jÎ PC| - (1.2773, 0.8739)T ≤j≤ (1.2773, 0.8739)Tis a positive invariant set and also a global attracting set of (42).

Case 4.3. Ifμ= 0 and let α1k=α2k= 13e0.04k andβ1k=β2k= 23e0.04k, thengk=e0.04k≥1 and

lnγk tk

tk−lh(s)ds

= tk lnγk

tk−1(1 + cos 2t)ds

lne0.04k

2k = 0.02 =γ < λ.

Clearly, all conditions of Corollary 3.1 are satisfied. Therefore, by Corollary 3.1, the zero solution of (42) is globally exponentially stable.

Acknowledgements

The authors would like to thank several anonymous reviewers for their constructive suggestions and helpful comments. The study was supported by the National Natural Science Foundation of China under Grants 10971147 and 11101367.

Author details

1

Department of Mathematics, Zhejiang International Studies University, Hangzhou, 310012, P. R. China2Department of Applied Mathematics, Zhejiang University of Technology, Hangzhou, 310023, P. R. China

Authors’contributions

DH provided the main idea of this article and carried out the main proof of the theorems. QM carried out the proof of Theorem 3.1. All authors read and approve the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Received: 4 February 2012 Accepted: 23 July 2012 Published: 23 July 2012

References

1. Deng, JQ: A note on oscillation of second-order nonlinear difference equation with continuous variable. J Math Anal Appl.280, 188194 (2003). doi:10.1016/S0022-247X(03)00068-4

2. Deng, JQ: Existence for continuous nonoscillatory solutions of second-order nonlinear difference equations with continuous variable. Math Comput Model.46, 670679 (2007). doi:10.1016/j.mcm.2006.11.028

3. Deng, JQ, Xu, ZJ: Bounded continuous nonoscillatory solutions of second-order nonlinear difference equations with continuous variable. J Math Anal Appl.333, 12031215 (2007). doi:10.1016/j.jmaa.2006.12.038

4. Ladas, G: Recent developments in the oscillation of delay difference equations. Differential Equations. Lect Notes Prue Appl Math.127, 321–332 (1991)

5. Philos, CHG, Purnaras, IK: An asymptotic result for some delay difference equations with continuous variable. Adv Diff Equ.1, 1–10 (2004)

6. Philos, CHG, Purnaras, IK: On non-autonomous linear difference equations with continuous variable. J Diff Equ Appl.12, 651–668 (2006). doi:10.1080/10236190600652360

7. Philos, CHG, Purnaras, IK: On the behavior of the solutions to autonomous linear difference equations with continuous variable. Arch Math (BRNO).43, 133–155 (2007)

8. Peng, MS: Oscillation theorems of second-order nonlinear neutral delay difference equations with impulses. Comput Math Appl.44, 741–748 (2002). doi:10.1016/S0898-1221(02)00187-6

9. Peng, MS: Oscillation criteria for second-order impulsive delay difference equations. Appl Math Comput.146, 227235 (2003). doi:10.1016/S0096-3003(02)00539-8

10. Zhang, QQ: On a linear delay difference equation with impulses. Ann Diff Equ.18, 197–204 (2002)

11. Zhang, H, Chen, LS: Oscillation criteria for a class of second-order impulsive delay difference equations. Adv Complex Syst.9, 69–76 (2006). doi:10.1142/S0219525906000677

12. Zhang, Y, Sun, JT, Feng, G: Impulsive control of discrete systems with time delay. IEEE Trans Autom Control.54, 830–834 (2009)

13. Zhu, W, Xu, DY, Yang, ZC: Global exponential stability of impulsive delay difference equation. Appl Math Comput.181, 65–72 (2006). doi:10.1016/j.amc.2006.01.015

14. Ma, ZX, Xu, LG: Asymptotic behavior of impulsive infinite delay difference equations with continuous variables. Adv Diff Equ.1, 1–13 (2009)

15. Zhu, W: Invariant and attracting sets of impulsive delay difference equations with continuous variables. Comput Math Appl.55, 2732–2739 (2008). doi:10.1016/j.camwa.2007.10.020

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17. Horn, RA, Johnson, CR: Matrix Analysis. Cambridge University Press, London (1990) 18. Lasalle, JP: The Stability of Dynamical System. SIAM, Philadelphia (1976)

doi:10.1186/1687-1847-2012-118

Cite this article as:He and Ma:Asymptotic behavior of impulsive non-autonomous delay difference equations with continuous variables.Advances in Difference Equations20122012:118.

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