Asymptotic behavior results for nonlinear neutral delay difference equations

Asymptotic behavior results for nonlinear neutral delay difference equations

Applied Mathematics and Computation 217 (2011) 7184–7190 Contents lists available at ScienceDirect Applied Mathematics and Computation journal homep...

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Applied Mathematics and Computation 217 (2011) 7184–7190

Contents lists available at ScienceDirect

Applied Mathematics and Computation journal homepage: www.elsevier.com/locate/amc

Asymptotic behavior results for nonlinear neutral delay difference equations Gengping Wei Department of Mathematics, Huaihua College, Huaihua, Hunan 418008, China

a r t i c l e

i n f o

a b s t r a c t This paper is concerned with the nonlinear neutral delay difference equation

Keywords: Neutral delay difference equation Boundedness Asymptotic behavior Liapunov functional

D½xðnÞ  cðnÞxðn  mÞ þ pðnÞf ðxðn  kÞÞ ¼ 0;

n 2 Nðn0 Þ;

ðÞ

where D is the forward difference operator defined by D x(n) = x(n + 1)  x(n), {c(n)} is a sequence of real numbers, {p(n)} is a positive sequence, f 2 C(R, R), m and k are positive integers, n0 is a nonnegative integer and N(n0) = {n0, n0 + 1, n0 + 2, . . .}. Sufficient conditions are obtained under which every solution of equation (⁄) is bounded and tends to a constant as n ? 1. Our results improve and extend some known results. One example is given to illustrate our results. Ó 2011 Elsevier Inc. All rights reserved.

1. Introduction Qualitative theory of discrete processes has drawn considerable attention in recent years. In particular, oscillation properties of discrete analogs of delay differential equations have been studied by a number of authors, see, for example, [1–5] and the references cited therein. On the other hand, relatively little is known about the asymptotic behavior of all solutions of these discrete equations, see, for example, [6–15]. This paper considers the following nonlinear neutral delay difference equation

D½xðnÞ  cðnÞxðn  mÞ þ pðnÞf ðxðn  kÞÞ ¼ 0;

n 2 Nðn0 Þ;

ð1Þ

where D is the forward difference operator defined by Dx(n) = x(n + 1)  x(n), {c(n)} is a sequence of real numbers, {p(n)} is a positive sequence, f 2 C(R, R), m and k are positive integers, n0 is a nonnegative integer and N(n0) = {n0, n0 + 1, n0 + 2, . . .}. We note that when f(x)  x, Eq. (1) reduces to the linear difference equation

D½xðnÞ  cðnÞxðn  mÞ þ pðnÞxðn  kÞ ¼ 0;

n 2 Nðn0 Þ:

ð2Þ

The asymptotic behavior of solutions of linear difference equations has been studied by several authors, see, for example, [6–13]. In [10], it is proved that if c(n)  0, {p(n)} is a positive sequence and k is a positive integer such that

lim sup umni¼nk pðiÞ < 1 and n!1

1 X

pðnÞ ¼ 1;

n¼n0

then every solution of Eq. (2) tends to zero as n ? 1. While in [11], the authors studied the attractivity of Eq. (2) with c(n)  c and obtained an improvement of the above result, which states that if c(n)  c, jcj < 1, {p(n)} is a positive sequence and m, k are positive integers such that E-mail address: [email protected] 0096-3003/$ - see front matter Ó 2011 Elsevier Inc. All rights reserved. doi:10.1016/j.amc.2011.02.004

G. Wei / Applied Mathematics and Computation 217 (2011) 7184–7190

(  )  X nþk pðn þ m þ kÞ þ lim sup jcj 1 þ pðiÞ < 2 and pðn þ kÞ n!1 i¼nk

1 X

7185

pðnÞ ¼ 1;

n¼n0

then every solution of Eq. (2) tends to zero as n ? 1. However, relatively little is known about the asymptotic behavior of nonlinear difference equations, see, for example, [14,15]. When c(n)  0 in (1), in [15] the authors studied the nonlinear delay difference equation

DyðnÞ þ Fðn; yðn  kÞÞ ¼ 0;

n 2 Nðn0 Þ

ðEÞ

and obtained the following asymptotic behavior result. Theorem. Let F: N(n0)  R ? R be a real-value function, and for any n 2 N(n0), F(n, ) be a continuous function with F(n, 0) = 0. Assume that there exists a nonnegative sequence {q(n)} defined on N(n0) such that

0<

Fðn; xÞ 6 qðnÞ for n 2 Nðn0 Þ; x 2 R; x – 0; x

and

lim sup n!1

nþ2k X

qðiÞ < 2:

i¼n

Also suppose that for any constant a – 0 1 X

jFðn; aÞj ¼ 1:

i¼n

Then every solution of equation (E) tends to zero as n ? 1. The aim of this paper is to establish sufficient conditions, so that every solution of (1) is bounded and tends to a constant as n ? 1. The approach to the problem here is based on the Liapunov’s direct method. Our asymptotic behavior results include the main theorems in [10,11,15] as some special cases. So, our results improve and extend some known results. Let q = max{m, k}. By a solution of Eq. (1) we mean a sequence {x(n)} of real numbers which is defined for all n 2 N(n0  q) = {n0  q, n0  q + 1, n0  q + 2, . . .} and satisfies Eq. (1) for n 2 N(n0). It is easy to see that for any given n0 and initial conditions of the form x(n0 + j) = aj, j = q, q + 1, q + 2, . . . , 0, Eq. (1) has a unique solution {x(n)} which is defined for n 2 N(n0  q) and satisfies the above initial conditions. As is customary, a solution of (1) or (2) is said to be nonoscillatory if it is eventually positive or eventually negative. Otherwise, it will be called oscillatory. For the general background on difference equations, one can refer to [16,17]. 2. Main results In connection with the nonlinear function f, we assume that (H) there are constants L > 0 and M > 0 such that

xf ðxÞ > 0;

for x 2 R; x – 0 and L ¼ inf

  f ðxÞ kxj > 0 ; x

M ¼ sup

  f ðxÞ kxj > 0 : x

Theorem 1. Let (H) hold. Assume that

lim sup jcðnÞj ¼ l < 1; n!1 ! " # nþk X pðn þ m þ kÞ 2 þ lim sup l 1 þ 2 pði þ kÞ < : M n!1 L pðn þ kÞ i¼nk

ð3Þ ð4Þ

Then every solution of (1) is bounded. Proof. Let {x(n)} be any solution of (1). We shall prove that {x(n)} is bounded. For this purpose, we rewrite (1) in the form

D½xðnÞ  cðnÞxðn  mÞ 

n1 X

pði þ kÞf ðxðiÞÞ þ pðn þ kÞf ðxðnÞÞ ¼ 0;

n P n0 :

i¼nk

From (3) and (4), we can select an e > 0 sufficiently small such that l + e < 1 and

ð5Þ

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G. Wei / Applied Mathematics and Computation 217 (2011) 7184–7190

" lim sup ðl þ eÞ 1 þ n!1

! pðn þ m þ kÞ

nþk X

þ

L2 pðn þ kÞ

# pði þ kÞ <

i¼nk

2 ; M

ð6Þ

also, we select n⁄ > n0 sufficiently large such that

for n P n ;

jcðnÞj 6 l þ e;

ð7Þ

and noting (H), we have

jcðnÞjx2 ðn  mÞ 6

lþe L2

f 2 ðxðn  mÞÞ;

n P n :

ð8Þ

Now we introduce three sequences as

"

n1 X

V 1 ðnÞ ¼ xðnÞ  cðnÞxðn  mÞ 

#2 pði þ kÞf ðxðiÞÞ

n P n0 ;

;

ð9Þ

i¼nk

V 2 ðnÞ ¼

n1 X

pði þ 2kÞ

pðj þ kÞf 2 ðxðjÞÞ;

n P n0 ;

ð10Þ

j¼i

i¼nk

V 3 ðnÞ ¼

n1 X

n1 lþe X

L2

pði þ m þ kÞf 2 ðxðiÞÞ;

n P n0 :

ð11Þ

i¼nm

In what follows, for the sake of convenience, when we write a sequence inequality without specifying its domain of validity, we mean that it holds for all sufficiently large n. Calculating DV1(n), DV2(n) and DV3(n), we have

"

DV 1 ðnÞ ¼ D xðnÞ  cðnÞxðn  mÞ 

#

n1 X

pði þ kÞf ðxðiÞÞ

i¼nk

"

n X

 xðn þ 1Þ  cðn þ 1Þxðn þ 1  mÞ 

pði þ kÞf ðxðiÞÞ

i¼nkþ1

þxðnÞ  cðnÞxðn  mÞ 

n1 X

#

pði þ kÞf ðxðiÞÞ

i¼nk

¼ pðn þ kÞ½2xðnÞf ðxðnÞÞ  2cðnÞxðn  mÞf ðxðnÞÞ n1 X

2

pði þ kÞf ðxðiÞÞf ðxðnÞÞ  pðn þ kÞf 2 ðxðnÞÞ

i¼nk

 6 pðn þ kÞ 2xðnÞf ðxðnÞÞ  jcðnÞjðx2 ðn  mÞ þ f 2 ðxðnÞÞÞ # n1 X pði þ kÞðf 2 ðxðiÞÞ þ f 2 ðxðnÞÞÞ  pðn þ kÞf 2 ðxðnÞÞ  i¼nk

 ¼ pðn þ kÞ 2xðnÞf ðxðnÞÞ  jcðnÞjx2 ðn  mÞ  jcðnÞjf 2 ðxðnÞÞ # n1 n X X 2 2 pði þ kÞf ðxðiÞÞ  pði þ kÞf ðxðnÞÞ  i¼nk

ð12Þ

i¼nk

DV 2 ðnÞ ¼ pðn þ kÞ

n1 X

pði þ kÞf 2 ðxðiÞÞ þ pðn þ kÞf 2 ðxðnÞÞ

i¼nk

n X

pði þ 2kÞ

ð13Þ

i¼nkþ1

and

DV 3 ðnÞ ¼

lþe L2

pðn þ m þ kÞf 2 ðxðnÞÞ 

lþe L2

pðn þ kÞf 2 ðxðn  mÞÞ:

Set V(n) = V1(n) + V2(n) + V3(n). By (12), (13), (14) and (6), (7), (8), we get

DVðnÞ ¼ DV 1 ðnÞ þ DV 2 ðnÞ þ DV 3 ðnÞ  6 pðn þ kÞ 2xðnÞf ðxðnÞÞ  jcðnÞjx2 ðn  mÞ  jcðnÞjf 2 ðxðnÞÞ n1 n X X  pði þ kÞf 2 ðxðiÞÞ  f 2 ðxðnÞÞ pði þ kÞ i¼nk

þ

n1 X i¼nk

i¼nk

pði þ kÞf 2 ðxðiÞÞ  f 2 ðxðnÞÞ

n X i¼nkþ1

pði þ 2kÞ

ð14Þ

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G. Wei / Applied Mathematics and Computation 217 (2011) 7184–7190

 pðn þ m þ kÞ l þ e 2 þ f ðxðn  mÞÞ pðn þ kÞ L2 L2 " nþk X 2xðnÞ  jcðnÞj  pði þ kÞ 6 pðn þ kÞf 2 ðxðnÞÞ f ðxðnÞÞ i¼nk  l þ e pðn þ m þ kÞ  2 pðn þ kÞ L " ! 2xðnÞ pðn þ m þ kÞ  ðl þ eÞ 1 þ 2 6 pðn þ kÞf 2 ðxðnÞÞ f ðxðnÞÞ L pðn þ kÞ # nþk X  pði þ kÞ 

lþe

f 2 ðxðnÞÞ

i¼nk

(

" ! 2 pðn þ m þ kÞ  ðl þ eÞ 1 þ 2 6 pðn þ kÞf ðxðnÞÞ M L pðn þ kÞ #) nþk X þ pði þ kÞ ; 2

ð15Þ

i¼nk

which, together with (6), implies 1 X

pðn þ kÞf 2 ðxðnÞÞ < 1;

ð16Þ

n¼n0

and, hence, for any positive integer r we have

lim

n!1

n1 X

pði þ kÞf 2 ðxðiÞÞ ¼ 0:

ð17Þ

i¼nr

Noting (6), there is a sufficiently large positive integer n1 P n0 such that for n P n1 + k we have

0 6 V 2 ðnÞ ¼

n1 X i¼nk

pði þ 2kÞ

n1 X

n1 X

pðj þ kÞf 2 ðxðjÞÞ 6

j¼i

pði þ 2kÞ

i¼nk

n1 X j¼nk

pðj þ kÞf 2 ðxðjÞÞ 6

n1 2 X pðj þ kÞf 2 ðxðjÞÞ M j¼nk

ð18Þ

and

0 6 V 3 ðnÞ 6

n1 2 X pði þ kÞf 2 ðxðiÞÞ: M i¼nm

ð19Þ

(18) and (19) together with (17) imply limn?1V2(n) = 0 and limn?1V3(n) = 0. On the other hand, by (6) and (15), we see that V(n) is eventually decreasing. In view of V(n) P 0, the limit limn?1V(n) = a exists and is finite, thus, limn?1V(n) = limn?1V1(n) = a, that is,

"

n1 X

lim xðnÞ  cðnÞxðn  mÞ 

n!1

#2 pði þ kÞf ðxðiÞÞ

¼ a:

ð20Þ

i¼nk

Let

yðnÞ ¼ xðnÞ  cðnÞxðn  mÞ 

n1 X

pði þ kÞf ðxðiÞÞ;

i¼nk

then

DyðnÞ þ pðn þ kÞf ðxðnÞÞ ¼ 0;

n P n0

ð21Þ

and

lim y2 ðnÞ ¼ a;

n!1

that is 1

lim jyðnÞj ¼ a2 :

n!1

We claim that {y(n)} converges. In fact, this is clear if a = 0. If a > 0, it suffices to show that {y(n)} is eventually positive or 1 eventually negative. Otherwise, choose a number g such that 0 < g < a2 and let N be a positive integer such that

7188

G. Wei / Applied Mathematics and Computation 217 (2011) 7184–7190 1

1

a2  g < jyðnÞj < a2 þ g; n P N;

ð22Þ

and let

J ¼ fn P N : yðnÞ < 0g;

K ¼ fn P N : yðnÞ > 0g:

Since {y(n)} is neither eventually positive nor eventually negative, it follows that J and K are unbounded, thus we may choose a divergent sequence of integers {nj} such that N 6 n1 < n2 <    < nj <   , nj 2 K, nj + 1 2 J. Then, y(nj + 1) < 0 and y(nj) > 0. Furthermore, by (22), we easily see that

 1  1 2 a2  g < yðnj þ 1Þ  yðnj Þ < 2 a2 þ g ;

j P 1:

Therefore, in view of (21), we have

 1  1 0 < 2 a2  g < pðnj þ kÞf ðxðnj ÞÞ < 2 a2 þ g ;

j P 1:

ð23Þ

On the other hand, by (17) and (23) we see that {f(x(nj))} converges to zero. Noting the fact that condition (4) implies {p(n)} is bounded, we get

pðnj þ kÞf ðxðnj ÞÞ ! 0;

as j ! 1;

which contradicts (23). Thus {y(n)} must converge. So,

" lim yðnÞ ¼ lim xðnÞ  cðnÞxðn  mÞ 

n!1

where b ¼ n1 X

n!1

n1 X

# pði þ kÞf ðxðiÞÞ ¼ b;

ð24Þ

i¼nk

pffiffiffi

pffiffiffi

a or b ¼  a and is finite. In view of (21), we have

pði þ kÞf ðxðiÞÞ ¼ yðn  kÞ  yðnÞ:

i¼nk

So,

lim

n!1

n1 X

pði þ kÞf ðxðiÞÞ ¼ 0:

ð25Þ

i¼nk

By (24) and (25), we have

lim ½xðnÞ  cðnÞxðn  mÞ ¼ b:

ð26Þ

n!1

Next, we shall show {jx(n)j} is bounded. In fact, if {jx(n)j} is unbounded, then there exists a divergent sequence of integers {nj} such that jx(nj)j ? 1, as j ? 1 and

jxðnj Þj ¼

sup

jxðnÞj:

ð27Þ

n0 q6n6nj

Thus, noticing (7) and (27), we have

jxðnj Þ  cðnj Þxðnj  mÞj P jxðnj Þj  jcðnj Þjjxðnj  mÞj P jxðnj Þjð1  jcðnj ÞjÞ P jxðnj Þj½1  ðl þ eÞ ! 1;

as j ! 1

which contradicts (26). So {jx(n)j} is bounded. The proof of Theorem 1 is complete. h Now we study asymptotic behavior of solutions of (1). Theorem 2. Let (H) hold. Assume that c(n) P 0 or c(n) 6 0 for sufficiently large n and

lim jcðnÞj ¼ c < 1

ð28Þ

n!1

and

" lim sup c 1 þ n!1

pðn þ m þ kÞ 2

L pðn þ kÞ

! þ

nþk X

# pði þ kÞ <

i¼nk

2 : M

ð29Þ

Then every solution of (1) tends to a constant as n ? 1. Proof. Let {x(n)} be any solution of (1). From the proof of Theorem 1 we know that {jx(n)j} is bounded and (26) holds. Next, we shall prove that

lim xðnÞ exists and is finite:

n!1

ð30Þ

G. Wei / Applied Mathematics and Computation 217 (2011) 7184–7190

7189

If c = 0, clearly limn?1x(n) = b, which shows (30) holds. If 0 < c < 1, let

lim sup xðnÞ ¼ x1 ; n!1

lim inf xðnÞ ¼ x2 ; n!1

and let {si} and {ti} be two integer sequences such that si ? 1, ti ? 1 as i ? 1, and

lim xðsi Þ ¼ x1 ; i!1

lim xðt i Þ ¼ x2 : i!1

For n > n2, where n2 is a sufficiently large integer, we consider the following two possible cases. Case 1. 1 < c(n) 6 0 for n > n2, we have

b ¼ lim½xðsi Þ  cðsi Þxðsi  mÞ ¼ x1 þ c lim xðsi  mÞ P x1 þ cx2 ; i!1

i!1

and

b ¼ lim½xðti Þ  cðti Þxðt i  mÞ ¼ x2 þ c lim xðt i  mÞ 6 x2 þ cx1 : i!1

i!1

b Thus, 0 6 x1  x2 6 c(x1  x2), so that x1 ¼ x2 ¼ 1þc , which shows (30) holds. Case 2. 0 6 c(t) < 1 for n > n2, we have

x1 ¼ lim xðsi Þ ¼ lim½xðsi Þ  cðsi Þxðsi  mÞ þ cðsi Þxðsi  mÞ ¼ b þ c lim xðsi  mÞ 6 b þ cx1 ; i!1

i!1

i!1

and

x2 ¼ lim xðti Þ ¼ lim½xðti Þ  cðti Þxðti  mÞ þ cðti Þxðti  mÞ ¼ b þ c lim xðti  mÞ P b þ cx2 ; i!1

i!1

b 1c

Thus, x1 6 6 x2 , which together with x1 P x2 implies x1 ¼ x2 ¼ complete. h

i!1

b , 1c

so that (30) holds. The proof of Theorem 2 is

By Theorem 2, we have the following asymptotic behavior result immediately. Theorem 3. The conditions of Theorem 2 imply that every oscillatory solution of (1) tends to zero as n ? 1. Theorem 4. The conditions in Theorem 2 together with 1 X

pðnÞ ¼ 1

ð31Þ

n¼n0

imply that every solution of (1) tends to zero as n ? 1. Proof. Condition (H) implies that for any d > 0 there is r > 0 such that

jf ðxÞj P r;

for jxj P d:

ð32Þ

By theorem 3, we only have to prove that every nonoscillatory solution of (1) tends to zero as n ? 1. Without loss of generality, let {x(n)} be an eventually positive solution of (1), we shall prove limn?1x(n) = 0. As in the proof of Theorem 1, we can rewrite (1) in the form of (21). Summing from n0 to n on both sides of (21) produces n X

pði þ kÞf ðxðiÞÞ ¼ yðn0 Þ  yðn þ 1Þ:

i¼n0

By using (24) we have 1 X

pði þ kÞf ðxðiÞÞ < 1;

i¼n0

which, together with (31) yields liminfn?1f(x(n)) = 0. We claim that

lim inf xðnÞ ¼ 0: n!1

ð33Þ

Let {ui} be an integer sequence such that ui ? 1 as i ? 1 and limi?1f(x(ui)) = 0. We must have liminfi?1x(ui) = d = 0. In fact, if d > 0, then there is a subsequence fuij g of {ui} such that xðuij Þ P d=2 for sufficiently large j. By (32) we have f ðxðuij ÞÞ P n for some n > 0 and sufficiently large j, which yields a contradiction because of limj!1 f ðxðuij ÞÞ ¼ 0: Therefore, (33) holds. On the other hand, by Theorem 2, we have limn?1x(n) exists. Therefore limn?1x(n) = 0. Thus the proof is complete. h As application of Theorems 2 and 4, taking f(x)  x, for the linear equation (2) we have the following two corollaries.

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G. Wei / Applied Mathematics and Computation 217 (2011) 7184–7190

Corollary 1. Let c(n) P 0 or c(n) 6 0 for sufficiently large n. Assume that(28) holds and

" lim sup cð1 þ n!1

# nþk X pðn þ m þ kÞ Þþ pði þ kÞ < 2: pðn þ kÞ i¼nk

Then every solution of Eq. (2) tends to a constant as n ? 1. Furthermore, if (31) holds, then every solution of Eq. (2) tends to zero as n ? 1. Corollary 2. Let c(n)  c and jcj < 1. Assume that (31) holds and

(

) nþk X pðn þ m þ kÞ lim sup jcjð1 þ pði þ kÞ < 2: Þþ pðn þ kÞ n!1 i¼nk Then every solution of Eq. (2) tends to zero as n ? 1. 3. Example Consider the difference equation

D½xðnÞ 

n1 1 2 xðn  1Þ þ ½1 þ sin xðn  2Þxðn  2Þ ¼ 0; 2n ðn  1Þa

where a > 0 is a real constant, f ðxÞ ¼ ð1 þ sin xÞx; cðnÞ ¼ n1 ; pðnÞ ¼ 1=ðn  1Þa ; m ¼ 1; k ¼ 2. By simple estimation, we have 2n 2

1 2 2 2jxj 6 jð2 þ sin xÞxj 6 3jxj;

l ¼ n!1 lim jcðnÞj ¼ < 1;

2

x2 ð1 þ sin xÞ > 0 ðx – 0Þ

and

" lim sup

lð1 þ

n!1

pðn þ m þ kÞ 22 pðn þ kÞ

Þþ

nþk X i¼nk

# pði þ kÞ ¼

5 2 < : 8 3

If a > 0, we may conclude from Theorems 1 and 2 that every solution of this equation is bounded and tends to a constant as n ? 1; and if 0 < a 6 1, from Theorem 4, every solution of this equation tends to zero as n ? 1. Acknowledgements Supported by the NNSF of China (No. 10871062) and by Hunan Provincial Natural Science Foundation of China (No. 07JJ6010). References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17]

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