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Journal of Inequalities and Applications Volume 2010, Article ID 927059,9pages doi:10.1155/2010/927059

Research Article

A New Delay Vector Integral Inequality and

Its Application

Li Xiang,

1

Lingying Teng,

2

and Hua Wu

3

1College of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China 2College of Computer Science and Technology, Southwest University for Nationalities,

Chengdu 610041, China

3Civil Aviation Flight University of China, Guanghan 618307, China

Correspondence should be addressed to Li Xiang,xiangni [email protected]

Received 22 September 2010; Accepted 14 December 2010

Academic Editor: Mohamed A. El-Gebeily

Copyrightq2010 Li Xiang et al. 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.

A new delay integral inequality is established. Using this inequality and the properties of nonnegative matrix, the attracting sets for the nonlinear functional differential equations with distributed delays are obtained. Our results can extend and improve earlier publications.

1. Introduction

The attracting set of dynamical systems have been extensively studied over the past few decades and various results are reported. It is well known that one of the most researching tools is inequality technique. With the establishment of various differential and integral inequalities 1–12, the sufficient conditions on the attracting sets for different differential systems are obtained 12–16. However, the inequalities mentioned above are ineffective for studying the attracting sets of a class of nonlinear functional differential equations with distributed delays.

Motivated by the above discussions, in this paper, a new delay vector integral inequality is established. Applying this inequality and the properties of nonnegative matrix, some sufficient conditions ensuring the global attracting set for a class of nonlinear functional differential equations with distributed delays are obtained. The result in16is extended.

2. Preliminaries

In this section, we introduce some notations and recall some basic definitions.

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For a nonnegative matrix A ∈ Rn×n, let ρAdenote the spectral radius of A. Then

ρAis an eigenvalue ofAand its eigenspace is denoted by

ΩρAz∈Rn|Az ρAz, 2.1

which includes all positive eigenvectors ofAprovided that the nonnegative matrixAhas at least one positive eigenvectorsee17.

CX, Ydenotes the space of continuous mappings from the topological spaceXto the topological spaceY. Especially, letCC−∞, t0,Rn, wheret0≥0.

Let R 0,∞. For x ∈ Rn,A Rn×n,ϕ C,τt CR,R

, we define

x |x1|, |x2|, . . . ,|xn|T, A |aij|n×n, ϕtτt ϕ1tτt,ϕ2tτt, . . ., ϕntτtT,ϕitτt sup0≤sτt|ϕits|,i 1,2, . . . , n. For τt ∞, we define

xtτt xt.

Definition 2.1Xu4. ft, sUCtmeans thatfCR×R,Rand for any givenαand anyε >0 there exist positive numbersB,T, andAsatisfying

t

α

ft, sdsB, tT

α

ft, sds < ε,tA. 2.2

Especially,fUCtifft, s ftsand

0 fudu <∞.

Lemma 2.2Lasalle18. IfM≥0andρM<1, thenEM−1≥0.

3. Delay Integral Inequality

Theorem 3.1. LetytCR,Rn×1

be a solution of the delay integral inequality

ytGt, t0ϕt0 t

α1

Bt, sysτsds t

α2

Ψt, s s

α3

ζs, vyvτvdv dsD, t > t0,

3.1

ytϕt,t∈−∞, t0, 3.2

whereGt, t0CR×R,Rn×n,ϕtC−∞, t0,Rn×1,D d1, . . . , dnT ≥0,limt→∞tτt,αi∈−∞,0 i 1,2,3. Assume that the following conditions are satisfied:

H1Gt, t0ϕt0 → 0ast → ∞,Bt, u bijt, un×n,Ψt, u ψijt, un×n,ζt, u ζijt, un×n,bijt, u,ψijt, u,ζijt, uUCt, and there exists a nonnegative matrix Π πijn×nsuch that

t

α1

Bt, sds t

α2

Ψt, s s

α3

ζs, vdv ds≤Π, fortt0 3.3

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If the initial condition satisfies

ϕt< k1z E−Π−1D, t∈−∞, t0, 3.4

wherek1 ≥0,z >0, andz∈ΩρΠ, then there exists a constantkk1such that

yt< kz E−Π−1D, fortt0. 3.5

Proof. By the conditionΠ ≥ 0 and Lemma 2.2, together with ρΠ < 1, this implies that

E−Π−1exists andE−Π−1≥0.

From limt→∞Gt, t0ϕt0 0, there is aT > t0such that

Gt, t0ϕt0≤

1−ρΠ

2 k1z, fortT. 3.6

By the continuity ofyt, together with3.2and3.4, there exists a constantkk1such that

yt< kz E−Π−1D, fort∈−∞, T. 3.7

In the following, we will prove that

yt< kz E−Π−1D, fortT. 3.8

If this is not true, from3.7and the continuity ofyt, then there must be a constantt1 > T

and some integerisuch that

yit1 ei

kz E−Π−1D , 3.9

ytkz E−Π−1D, fortt1, 3.10

whereei 0,0, . . . ,0,1

i

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Using3.1,3.3,3.6,3.10, andρΠ<1, we obtain that

yit1 eiyt1

ei

Gt1, t0ϕt0 t1

α1

Bt1, sysτsds

t1

α2

Ψt1, s s

α3

ζs, vyvτvdv dsD

ei

1−ρΠ

2 k1z

t1

α1

Bt1, skz E−Π−1Dds

t1

α2

Ψt1, s s

α3

ζs, vkz E−Π−1Ddv dsD

ei

1ρΠ

2 kz Π

kz E−Π−1D E−ΠE−Π−1D

ei

1ρΠ

2 kzρΠkz Π E−ΠE−Π

−1D

ei

1ρΠ

2 kz E−Π

−1D

< eikz E−Π−1D .

3.11

This contradicts the equality in3.9, and so3.8holds. The proof is complete.

4. Applications

The delay integral inequality obtained in Section 3 can be widely applied to study the attracting set of the nonlinear functional differential equations. To illustrate the theory, we consider the following differential equation with distributed delays

˙

xt Atxt F

t, xt,

t

−∞gt, s, xsds

, tt0,

xt ϕt, −∞< tt0,

4.1

wherex x1, . . . , xnT ∈Rn,g CR×R×Rn,Rn,F CR×Rn×Rn,Rn,gt, s,0 0,

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assume that for anyϕC, the system4.1has at least one solution throught0, ϕdenoted byxt, t0, ϕor simplyxtif no confusion should occur.

In order to study the attracting set, we rewrite4.1as

xt Φt, t0ϕt0 t

t0

Φt, sF

s, xs,

s

−∞gs, v, xvdv

ds, tt0,

xt ϕt, −∞< tt0,

4.2

whereΦt, t0be a fundamental matrix of the linear equation ˙xt Atxt. Throughout this section, we suppose the following:

A1 Ft, xt,

t

−∞gt, s, xsdsBtxtτt t

−∞ζtsxsτsdsJt, where

BtCR,Rn×n

,ζtu ζt, uCR×R,Rn×n,Jt J1t, . . . , JntT ≥0,

JitCR,R,i 1,2, . . . , n,

A2 Φt, sBs wijt, sn×nt, s φijt, sn×n,ζts ζijtsn×n.

wijt, s, φijt, sUCt.

0 ζijsds <,i, j 1,2, . . . , n. limt→∞Φt, t0 0.

There are two matricesΠ πijn×n≥0 andD d1, . . . , dnT ≥0 such that

t

t0

Φt, sBsds t

t0

Φt, s s

−∞ζs, vdv ds≤Π, t

t0

Φt, sJsdsD, for∀tt0,

4.3

A3ρΠ<1.

Definition 4.1. The setSCis called a global attracting set of4.1, if for any initial value

ϕC, the solutionxtt0, ϕconverges toSast → ∞. That is,

distxt, S−→0 ast−→∞, 4.4

where distφ, S infψSdφ, ψ,dφ, ψis the distance ofφtoψinRn.

Theorem 4.2. Assume thatA1A3hold. ThenS {ϕC| ϕτE−Π−1D}is a global

attracting set of 4.1.

Proof. It follows fromA1-A2and4.2that

xt≤Φt, t0

ϕt0 t

t0

Φt, sBsxsτsds

t

t0

Φt, s s

−∞ζsvxv

τvdv dsD, tt0.

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For the initial conditionsxt ϕt,−∞< tt0, whereϕC, we have

xtk0z, −∞< tt0, 4.6

wherez∈ΩρΠ, z >0,k0 ϕ/min1≤inzi≥0,ϕ max1≤inϕit0∞, and so

xtk0z E−Π−1D, −∞< tt0. 4.7

By4.5-4.7,A1–A3andTheorem 3.1, then there exists a constantk > k0such that

xt< kz E−Π−1D, fortt0. 4.8

From4.8, there exists a constant vectorσ≥0, such that

lim

t→∞xt

σkz EΠ−1D.

4.9

Next we will show that σS. From limt→∞Φt, t0 0, wij, φijUCt, and

0 ζijsds <∞, for anyε >0 ande 1,1, . . . ,1

T Rn×1

, there exist a positive numberA and a positive constant matrixR∈Rn×n

such that for alltt0A

Φt, t0ϕt0< εe

4,

t

t0

Φt, sdsR, 4.10

t

−∞ζtv

kz E−Π−1DdvRe,

tA

t0

Φt, sdsε

4R

−1, 4.11

tA

t0

Φt, sBskz E−Π−1Ddsεe

4 , 4.12

A

ζukz E−Π−1DduεR −1e

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According to the definition of superior limit and limt→∞tτt ∞, there exists sufficient

larget2≥t02A, such that for anytt2,

xtrt< σεe, where rt 2A sup

t−2A<s<t

τs. 4.14

So, fromA1,4.5, and4.10-4.14, whentt2, we obtain

xt≤Φt, t0

ϕt0 t

t0

Φt, sBsxsτsds

t

t0

Φt, s s

−∞ζsvxv

τvdv dsD

εe

4

tA

t0

t

tA

Φt, sBsxsτsds

tA

t0

Φt, s s

−∞ζsvxv

τvdv ds

t

tA

Φt, s sA

−∞ ζsvxv

τvdv ds

t

tA

Φt, s s

sA

ζsvxvτvdv dsD

εe

4

εe

4

t

tA

Φt, sBsxsτsdsε

4R

−1Re

t

tA

Φt, s

A

ζukz E−Π−1Ddu ds

t

tA

Φt, s s

sA

ζsvdv dsxtrtD

≤ 3εe

4

t

tA

Φt, sBsdsxtrt t

t0

Φt, sdsεR −1e

4

t

tA

Φt, s s

sA

ζsvdv dsσεe D

≤ 3εe

4

t

t0

Φt, sBsdsσεe ε

4RR

−1e

t

t0

Φt, s s

−∞ζsvdv dsσεe Dεe Πσεe D.

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Due to4.9and the definition of superior limit, there existst3t2, such thatxt3> σεe. So,

σεe < εe Πσεe D, tt3. 4.16

Lettingε → 0, we haveσE−Π−1D, that isσS, and the proof is completed.

Corollary 4.3. If xt 0is an equilibrium point of system 4.1, suppose that the conditions of Theorem 4.2. hold andJt 0, then the equilibriumxt 0is globally asymptotically stable.

Remark 4.4. In Corollary 4.3., if Bt , ζtu Kt, B bijn×n > 0,

λ diagλ1, . . . , λn > 0,Ktu Kt, uCR ×R, Rn×n,Kts kijtsn×n,

0 kijsds < aij,At diag−α1, . . . ,αn,αi>0i 1,2, . . . , n, then we can get Theorems

3 and 4 in16. In factΦt, t0 diageα1tt0, . . . , eαntt0∈UC

t, Theorems 3 and 4 in16

satisfy all conditions ofCorollary 4.3.

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant no. 10971147. Thanks are due to the instruction of Professor Xu.

References

1 W. Walter,Differential and Integral Inequalities, Springer, New York, NY, USA, 1970.

2 V. Lakshmikantham and S. Leela,Differential and Integral Inequalities: Theory and Applications. Vol. I: Ordinary Differential Equations, vol. 55 ofMathematics in Science and Engineering, Academic Press, New York, NY, USA, 1969.

3 V. Lakshmikantham and S. Leela,Differential and Integral Inequalities: Theory and Applications. Vol. II: Ordinary Differential Equations, vol. 55 ofMathematics in Science and Engineering, Academic Press, New York, NY, USA, 1969.

4 D. Y. Xu, “Integro-differential equations and delay integral inequalities,” The Tohoku Mathematical Journal, vol. 44, no. 3, pp. 365–378, 1992.

5 Y. Huang, D. Xu, and Z. Yang, “Dissipativity and periodic attractor for non-autonomous neural networks with time-varying delays,”Neurocomputing, vol. 70, no. 16–18, pp. 2953–2958, 2007.

6 D. Xu and Z. Yang, “Attracting and invariant sets for a class of impulsive functional differential equations,”Journal of Mathematical Analysis and Applications, vol. 329, no. 2, pp. 1036–1044, 2007.

7 D. Xu, Z. Yang, and Z. Yang, “Exponential stability of nonlinear impulsive neutral differential equations with delays,”Nonlinear Analysis: Theory, Methods & Applications, vol. 67, no. 5, pp. 1426– 1439, 2007.

8 T. Amemiya, “Delay-independent stabilization of linear systems,”International Journal of Control, vol. 37, no. 5, pp. 1071–1079, 1983.

9 E. Liz and S. Trofimchuk, “Existence and stability of almost periodic solutions for quasilinear delay systems and the Halanay inequality,”Journal of Mathematical Analysis and Applications, vol. 248, no. 2, pp. 625–644, 2000.

10 H. Tian, “The exponential asymptotic stability of singularly perturbed delay differential equations with a bounded lag,” Journal of Mathematical Analysis and Applications, vol. 270, no. 1, pp. 143–149, 2002.

11 K. Lu, D. Xu, and Z. Yang, “Global attraction and stability for Cohen-Grossberg neural networks with delays,”Neural Networks, vol. 19, no. 10, pp. 1538–1549, 2006.

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13 D. Xu, S. Li, X. Zhou, and Z. Pu, “Invariant set and stable region of a class of partial differential equations with time delays,”Nonlinear Analysis: Real World Applications, vol. 2, no. 2, pp. 161–169, 2001.

14 D.-Y. Xu and H.-Y. Zhao, “Invariant and attracting sets of Hopfield neural networks with delay,” International Journal of Systems Science, vol. 32, no. 7, pp. 863–866, 2001.

15 H. Zhao, “Invariant set and attractor of nonautonomous functional differential systems,”Journal of Mathematical Analysis and Applications, vol. 282, no. 2, pp. 437–443, 2003.

16 H. Zhao, “Global asymptotic stability of Hopfield neural network involving distributed delays,” Neural Networks, vol. 17, no. 1, pp. 47–53, 2004.

17 R. A. Horn,Matrix Analysis, Cambridge University Press, Cambridge, UK, 1985.

References

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