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Explicit Conditions for Stability of Nonlinear Scalar Delay Impulsive Difference Equation

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Advances in Difference Equations Volume 2010, Article ID 461014,17pages doi:10.1155/2010/461014

Research Article

Explicit Conditions for Stability of Nonlinear

Scalar Delay Impulsive Difference Equation

Bo Zheng

College of Mathematics and Information Sciences, Guangzhou University, Guangzhou 510006, China

Correspondence should be addressed to Bo Zheng,[email protected]

Received 20 March 2010; Accepted 2 June 2010

Academic Editor: Leonid Shaikhet

Copyrightq2010 Bo Zheng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Sufficient conditions are obtained for the uniform stability and global attractivity of the zero solution of nonlinear scalar delay impulsive difference equation, which extend and improve the known results in the literature. An example is also worked out to verify that the global attractivity condition is a sharp condition.

1. Introduction and Main Results

LetR,N, andZbe the sets of real numbers, natural numbers, and integers, respectively. For anya, b∈Z, defineZa {a, a1, . . .}andZa, b {a, a1, . . . , b}whenab.

It is well known that the theory of impulsive differential equations is emerging as an important area of investigation, since it is not only richer than the corresponding theory of differential equations without impulse effects but also represents a more natural framework for mathematical modeling of many world phenomena1 . Moreover, such equations may exhibit several real-world phenomena, such as rhythmical beating, merging of solutions, and noncontinuity of solutions. And hence ordinary differential equations and delay differential equations with impulses have been considered by many authors, and numerous papers have been published on this class of equations and good results were obtainedsee, e.g.,1–10 and references therein.

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best of our knowledge, very little has been done with the stability of impulsive difference equationssee15,20 . Motivated by this, the aim of this paper is devoted to studying the uniform stability and global attractivity of the zero solution of the following nonlinear scalar delay impulsive difference equation:

Δxn fn, xn, n∈Z0, n /nj,

Δxnj

Ij

xnj

, j ∈Z1, 1.1

whereΔdenotes the forward difference operator defined byΔxn xn1−xn,f :

Z0− {njS → R,Sis the set of all functionsφ :Z−k,0 → Rfor somek ∈ N,and

xnSis defined byxnm xnmform∈Z−k,0,Ij :R → R,and 0≤n1< n2 <· · ·< nj< nj1<· · ·, withnj → ∞asj → ∞. By a solution of1.1, we mean a sequence{xn}of

real numbers which is defined for alln∈Zn0−kand satisfies1.1forn∈Zn0for some n0 ∈ Z0. It is easy to see that, for any givenn0 ∈ Z0and a given initial functionφS, there is a unique solution of1.1, denoted byxn, n0, φsuch that

xn0m, n0, φ

φm, form∈Z−k,0. 1.2

We assume thatfn,0≡0 andIj0≡0, so thatxn≡0 is a solution of1.1, which we call

the zero solution.

ForφS, define the norm ofφas

φmaxφ

j:j∈Z−k,0, 1.3

and for anyH >0, define

SH

φS:φ< H. 1.4

Definition 1.1. The zero solution of1.1is stable, if, for anyε >0 andn0∈Z0, there exists a δδn0, >0 such thatφimplies that|xn, n0, φ|< εforn∈Zn0. Ifδis independent ofn0, we say that the zero solution of1.1is uniformly stable.

Definition 1.2. The zero solution of1.1is globally attractive, if every solution of1.1tends to zero asn → ∞.

A simple example of1.1is given by

Δxn Cnxnk 0, n∈Z0, n /nj,

Δxnj

cjx

nj

, j ∈Z1, 1.5

where k ∈ N,C : Z0 → R, and{cj} is a sequence of real numbers. In15 , the author

studied the stability of the zero solution of1.5, whereCn ≥ 0 forn ∈ Z0− {nj}and

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Theorem 1.3. If

n

ink

Ci

nj∈Zik,i−1

1cj

−1 3

2, forn∈Zk, 1.6

then the zero solution of 1.5is stable.

In this paper, we assume that there exists a positive constantHand a sequence{Pn} of nonnegative real numbers such that

PnMφ≥ −fn, φ≥ −PnMφ, forn∈Z0, φSH, 1.7

where max{0,maxi∈Z−k,0φi}. Furthermore, we assume that there is a sequence

{bj}of positive numbers withbj≤1 such that

bjx2≤x

xIjx

x2, forj∈Z1, |x|< H. 1.8

The main purpose of this paper is to establish the following theorems.

Theorem 1.4. Assume that1.7and1.8hold and

n

ink

Pi

nj∈Zik,i−1

bj1≤ 3 2

1

2k1, forn∈Zk. 1.9

Then the zero solution of 1.1is uniformly stable.

Remark 1.5. Theorem 1.4generalizes and improvesTheorem 1.3greatly.

The next theorem provides a sufficient condition for every solution of1.1tends to zero as n → ∞, that is, the zero solution of1.1is globally attractive.

Theorem 1.6. Assume that1.7and1.8hold and

n

ink

Pi

nj∈Zik,i−1

bj1≤α < 3 2

1

2k1, forn∈Zk, 1.10

and assume that, for each bounded solution{xn}, either

lim

n→ ∞xn>0, ∞

n0

fn, xn −∞, forn∈Zk, 1.11

or

lim

n→ ∞xn<0, ∞

n0

fn, xn, forn∈Zk. 1.12

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Remark 1.7. An example is worked out in Section 3 to verify that the upper bound 3/2

Corollary 1.8. Assume that1.8holds and

n

Then the zero solution of the equation

Δxn

For the sake of convenience, throughout this paper, we will use the convention

j

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forj∈Z1. Then 1≤gjx≤1/bjforj ∈Z1if|x|< H. Equation1.1can be rewritten as

Δxn fn, xn, n∈Z0, n /nj,

xnj1

gj−1

xnj

xnj

, j∈Z1.

2.2

Set

yn xn

nj∈Z0,n−1

gj

xnj

, n∈Z−k, 2.3

then2.2reduces to

Δyn fn, xn

nj∈Z0,n−1

gj

xnj

, n∈Z0, n /nj,

Δynj

0, j∈Z1.

2.4

And it is easy to see that

|xn| ≤yn≤ |xn|

nj∈Z0,n−1

bj1, forj∈Z1, n∈Z−k. 2.5

To prove Theorems1.4and1.6, we need the following lemma.

Lemma 2.1. Let{xn},n ∈ Zn0 −k,be a solution of 1.1,{yn}is defined by2.3,n∗ ∈ Zn02k2, andBn∗ max{|yn|:n∈Zn∗−3k−2, n∗−1}< H. If

n

ink

Pi

nj∈Zik,i−1

bj1≤c k2

2k1, forn∈Zk 2.6

holds for someck2/2k1,1 and either

yn∗≥0, yn> yn∗−1 2.7

or

yn<0, yn< yn∗−1, 2.8

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Proof. We assume thatyn∗≥0 andyn> yn∗−1. The case whereyn<0 andyn< yn∗−1is similar and is omitted.

It is easy to see thatLemma 2.1holds foryn∗ 0.

Ifk0, thenc1 andPn≤2 for alln∈Z0by2.6. Thus we only need to prove that|yn∗| ≤Bn∗. Sinceyn>0,yn> yn∗−1, by1.7we have

Pn∗−1Mxn1≤ −fn∗−1, xn1<0, 2.9

that is,

Pn∗−1max{0,−xn∗−1} ≤ −fn∗−1, xn1<0. 2.10

Soxn∗−1<0 which admits thatyn∗−1<0. Hence

yn∗−yn∗−1 fn∗−1, xn1

nj∈Z0,n∗−2

gj

xnj

Pn∗−1max{0,−xn∗−1}

nj∈Z0,n∗−2

gj

xnj

Pn∗−1yn∗−1≤ −2yn∗−1,

2.11

which implies thatyn∗ ≤ −yn∗−1, so|yn∗| ≤ |yn∗−1| ≤ Bn∗by the definition of Bn∗.

Now, assume thatyn>0,yn> yn∗−1,andk≥1. By1.7, we also have

Pn∗−1Mxn1≤ −fn∗−1, xn1<0. 2.12

So,

max

0, max

i∈Z−k,0−xn

1i>0. 2.13

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Δyn fn, xn of impulsive points, we always have

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In fact, for anyl∈Z0, k,

which shows that2.17holds.

Substituting2.17into2.4, it is easy to get

There are two cases to consider.

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So, by2.6,2.15,2.19, and2.25, we have

The proof is completed by combining Cases1and2.

Proof ofTheorem 1.4. By Lemma 2.1, 1.9implies that 2.6 holds with c 1. For any ε

To this end, we first prove that

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Ifnl1 n0, then|xnl11| |xn0 I0xn0| ≤ |xn0| < δ < . Ifnl1 > n0, then, for n∈Zn0, nl1, we claim that

|xn|< δ1βnl1−n0 < . 2.31

In fact,

|xn01| ≤ |xn0|fn0, xn0< δPn0δδ

1β< ,

|xn02| ≤ |xn01|fn01, xn01

< δ1ββxn01 ≤δ

1ββδ1β

δ1β2< .

2.32

In general, we can obtain2.31by induction. And so|xn| < δ1βnl1−n0< < Hfor

either case withn∈Zn0, nl1. Forn∈Znl11, nl2, we have

|xnl11| ≤ |xnl1||Il1xnl1| ≤ |xnl1|< δ

1βnl1−n0

,

|xnl12| ≤ |xnl11|fnl11, xnl11

< δ1βnl1−n0βx

nl11

δ1βnl1−n0βδ1βnl1−n0

δ1βnl1−n01< .

2.33

And so

|xn|< δ1βnl2−n0−1, fornZn

l11, nl2, 2.34

In general, we have

|xn|< δ1βnli1−n0−1, fornZn

li1, nli1, i1,2, . . . , m−1. 2.35

Now forn∈Znlm1, n02k1,

|xnlm1| ≤ |xnlm||Ilmxnlm| ≤ |xnlm|< δ

1βnlmn0−1,

|xnlm2| ≤ |xnlm1|fnlm1, xnlm1

< δ1βnlmn0−1βx

nlm1

δ1βnlmn0−1βδ1βnlmn0−1

δ1βnlmn0< .

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And so

|xn|< δ1β2k−1, forn∈Znlm1, n02k1 2.37

which has proved that2.30holds. Now, we will prove that

|xn|< , forn∈Zn02k2. 2.38

Thus we only need to prove that

yn< , fornZn02k2. 2.39

For anyn∗∈Zn02k2andBn< H,we claim that

ynBn. 2.40

In fact, we can assume thatyn∗ ≥ 0. The case whereyn< 0 is similar and is omitted. Ifyn∗ ≤ yn∗−1, by the definition ofBn∗,2.40holds. Ifyn> yn∗ −1, then by Lemma 2.1we have that2.40holds.

Since

Bn02k2 maxyn:n∈Z−k, n02k1

< ε < H, 2.41

by2.40we have

yn02k2< ε. 2.42

By repeatedly using2.40we get that2.39holds.

Combining2.30and2.39, we find that2.29holds and the proof ofTheorem 1.4is complete.

Proof ofTheorem 1.6. In view ofTheorem 1.4, we see that the zero solution of1.1is uniformly

stable. Therefore, for anyn0∈Z0, there existsδ >0 such thatφimplies that

|xn|xn, n0, φ< 1

2H, forn∈Zn0. 2.43

Next, we will prove that

lim

n→ ∞xn 0. 2.44

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Case 1. {xn}is eventually positive, that is, there existsn1 ∈Zn0such thatxn>0 for all n ∈ Zn1. Hence, by1.7and1.8, we haveΔxn ≤ 0 forn ∈Zn1k. That is,{xn} is eventually nonincreasing and hence limn→ ∞xn ≥ 0. Thus, by1.11we see that 2.44

holds. The case when{xn}is eventually negative is similar and will be omitted.

Case 2. {xn} is oscillatory in the sense that {xn} is neither eventually positive nor

eventually negative, so{yn}is also oscillatory. To prove2.44, we only need to prove that

lim

n→ ∞yn 0. 2.45

By the proof ofTheorem 1.4, we have

yn< 1

2H, forn∈Zn0. 2.46

Let

lim

n→ ∞supyn p, nlim→ ∞infyn q, 2.47

thenq≤0≤p. It suffices to show that

pq0. 2.48

In fact, if2.48does not hold, we assume thatp≥ −qandp >0. The case wherep <q andq <0 is similar and is omitted.

Let 0 < ε0 < 1−c/2p, where c < 1 is given inLemma 2.1. Then there exists an integerm0∈Z2ksuch that

qε0 ≤yn0, forn∈Zm0. 2.49

Since limn→ ∞supyn p > 0 and{yn}is oscillatory, there must exist an integer m1∈Zm03k2such that

ym1> pε0, ym1> ym1−1. 2.50

ByLemma 2.1and2.49we have

pε0< ym1 ym1≤cBm1≤c

0

, forn∈Zm0. 2.51

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3. Example

In this section we will give a result which guarantees that the upper bound 3/21/2k1 is best possible inTheorem 1.6.

Example 3.1. Consider the delay impulsive difference equation

Δxn Pnxnk 0, n∈Z0, n / 6k1i,

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Proof. Let{xn}be a solution of3.1with initial condition of the form

xn , forn∈Z−k,0, 3.6

where >0 is a given constant. Then by3.1and the definition of{Pn}, we have

xn 1b0ε, forn∈Z1, k1,

Δxn − 1

k11b0, forn∈Zk1,2k.

3.7

And hence

xn 1b0ε

!

2− n k1

"

, forn∈Zk1,2k1, 3.8

x2k2 x2k1−cxk1 1b0ε

!

1 k1 −c

"

. 3.9

By virtue of3.1and3.8we get

Δxn −1b0ε 1 k1

!

2−nk k1

"

, forn∈Z2k2,3k1. 3.10

Summing up from 2k2 to 3k1 and using3.9, we have

x3k2 x2k2− 1b0 k1

3k1

n2k2

!

2−nk k1

"

1b0

! 1

k1 −c

"

−1b0 k 2k1

−1b0

!

c k−2 2k1

"

def

≡ 1b01.

3.11

Furthermore, we have, by the definition of{Pn},

xn 1b01, forn∈Z3k2,6k1. 3.12

Define the sequence{i}as follows:

0, i1−i !

c k−2 2k1

"

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Then we have by3.5

|i1||i|

c k−2

2k1

≥ |i|, fori∈Z0, 3.14

which implies that{|i|}is a non-decreasing sequence and does not tend to zero asn → ∞.

Repeating the above argument, we find that, forn∈Z3k2i6k1, i16k 1, i∈Z0,

xn 1b01b1· · ·1bii1. 3.15

By the definition of{bi}, we know thatni01bi0 asn → ∞, soxn0 asn → ∞.

The proof is complete.

Acknowledgments

The author would like to express her thanks to the referees for helpful suggestions. This research is supported by Guangdong College Yumiao Project2009.

References

1 V. Lakshmikantham, D. D. Ba˘ınov, and P. S. Simeonov,Theory of Impulsive Differential Equations, vol. 6 ofSeries in Modern Applied Mathematics, World Scientific, Teaneck, NJ, USA, 1989.

2 J. Hale,Theory of Functional Differential Equations, vol. 3 ofApplied Mathematical Sciences, Springer, New York, NY, USA, 2nd edition, 1977.

3 J. J. Nieto and C. C. Tisdell, “On exact controllability of first-order impulsive differential equations,”

Advances in Difference Equations, vol. 2010, Article ID 136504, 9 pages, 2010.

4 V. Lakshmikantham, X. Liu, and S. Sathananthan, “Impulsive integro-differential equations and extension of Lyapunov’s method,”Applicable Analysis, vol. 32, no. 3-4, pp. 203–214, 1989.

5 Y. Xing, Q. Wang, and D. Chen, “Antiperiodic boundary value problem for second-order impulsive differential equations on time scales,”Advances in Difference Equations, vol. 2009, Article ID 567329, 14 pages, 2009.

6 J. S. Yu, “Stability for nonlinear delay differential equations of unstable type under impulsive perturbations,”Applied Mathematics Letters, vol. 14, no. 7, pp. 849–857, 2001.

7 J. S. Yu, “Explicit conditions for stability of nonlinear scalar delay differential equations with impulses,”Nonlinear Analysis: Theory, Methods & Applications, vol. 46, no. 1, pp. 53–67, 2001.

8 Y. Xing and M. Han, “A new approach to stability of impulsive functional differential equations,”

Applied Mathematics and Computation, vol. 151, no. 3, pp. 835–847, 2004.

9 J. Yan, “Stability for impulsive delay differential equations,”Nonlinear Analysis: Theory, Methods & Applications, vol. 63, no. 1, pp. 66–80, 2005.

10 J. Yan, “Global attractivity for impulsive population dynamics with delay arguments,” Nonlinear Analysis: Theory, Methods & Applications, vol. 71, no. 11, pp. 5417–5426, 2009.

11 R. M. May, “Simple mathematical models with very complicated dynamics,”Nature, vol. 261, no. 5560, pp. 459–467, 1976.

12 S. Mohamad and K. Gopalsamy, “Dynamics of a class of discrete-time neural networks and their continuous-time counterparts,”Mathematics and Computers in Simulation, vol. 53, no. 1-2, pp. 1–39, 2000.

13 S. Mohamad and K. Gopalsamy, “Exponential stability of continuous-time and discrete-time cellular neural networks with delays,”Applied Mathematics and Computation, vol. 135, no. 1, pp. 17–38, 2003. 14 R. Z. Abdullin, “The comparison method in the stability of nonlinear difference equations with

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15 Q. Zhang, “On a linear delay difference equation with impulses,”Annals of Differential Equations, vol. 18, no. 2, pp. 197–204, 2002.

16 M. Peng, “Oscillation theorems of second-order nonlinear neutral delay difference equations with impulses,”Computers & Mathematics with Applications, vol. 44, no. 5-6, pp. 741–748, 2002.

17 Z. He and X. Zhang, “Monotone iterative technique for first order impulsive difference equations with periodic boundary conditions,”Applied Mathematics and Computation, vol. 156, no. 3, pp. 605– 620, 2004.

18 F. Geng, Y. Xu, and D. Zhu, “Periodic boundary value problems for first-order impulsive dynamic equations on time scales,”Nonlinear Analysis: Theory, Methods & Applications, vol. 69, no. 11, pp. 4074– 4087, 2008.

19 Y. Zhang, J. Sun, and G. Feng, “Impulsive control of discrete systems with time delay,” IEEE Transactions on Automatic Control, vol. 54, no. 4, pp. 871–875, 2009.

References

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