• 検索結果がありません。

Existence of Solutions for Nonconvex and Nonsmooth Vector Optimization Problems

N/A
N/A
Protected

Academic year: 2022

シェア "Existence of Solutions for Nonconvex and Nonsmooth Vector Optimization Problems"

Copied!
7
0
0

読み込み中.... (全文を見る)

全文

(1)

Volume 2008, Article ID 678014,7pages doi:10.1155/2008/678014

Research Article

Existence of Solutions for Nonconvex and Nonsmooth Vector Optimization Problems

Zhi-Bin Liu,1 Jong Kyu Kim,2 and Nan-Jing Huang3

1Department of Applied Mathematics, Southwest Petroleum University, Chengdu, Sichuan 610500, China

2Department of Mathematics, Kyungnam University, Masan, Kyungnam 631701, South Korea

3Department of Mathematics, Sichuan University, Chengdu, Sichuan 610064, China

Correspondence should be addressed to Jong Kyu Kim,[email protected] Received 9 January 2008; Accepted 4 April 2008

Recommended by R. P. Gilbert

We consider the weakly efficient solution for a class of nonconvex and nonsmooth vector optimiza- tion problems in Banach spaces. We show the equivalence between the nonconvex and nonsmooth vector optimization problem and the vector variational-like inequality involving set-valued map- pings. We prove some existence results concerned with the weakly efficient solution for the noncon- vex and nonsmooth vector optimization problems by using the equivalence and Fan-KKM theorem under some suitable conditions.

Copyrightq2008 Zhi-Bin Liu 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.

1. Introduction

The concept of vector variational inequality was first introduced by Giannessi1in 1980. Since then, existence theorems for solution of general versions of the vector variational inequality have been studied by many authorssee, e.g.,2–9and the references therein. Recently, vec- tor variational inequalities and their generalizations have been used as a tool to solve vector optimization problemssee7,10–14. Chen and Craven11obtained a sufficient condition for the existence of weakly efficient solutions for differentiable vector optimization problems involving differentiable convex functions by using vector variational inequalities for vector valued functions. Kazmi12proved a sufficient condition for the existence of weakly efficient solutions for vector optimization problems involving differentiable preinvex functions by us- ing vector variational-like inequalities. For the nonsmooth case, Lee et al.7established the existence of the weakly efficient solution for nondifferentiable vector optimization problems by using vector variational-like inequalities for set-valued mappings. Similar results can be found in10. It is worth mentioning that Lee et al.7and Ansari and Yao10obtained their

(2)

existence results under the assumption thatRmCxfor allxRn, whereCxis a convex cone inRm. However, this condition is restrict and it does not hold in general.

In this paper, we consider the weakly efficient solution for a class of nonconvex and nonsmooth vector optimization problems in Banach spaces. We show the equivalence between the nonconvex and nonsmooth vector optimization problem and the vector variational-like inequality involving set-valued mappings. We prove some existence results concerned with the weakly efficient solution for the nonconvex and nonsmooth vector optimization problems by using the equivalence and Fan-KKM theorem without the restrict conditionRmCxfor allxRn. Our results generalize and improve the results obtained by Lee et al.7and Ansari and Yao10.

2. Preliminaries

LetXbe a real Banach space endowed with a norm·andXits dual space, we denote by·,· the dual pair betweenXandX. LetRmbe them-dimensional Euclidean space, letSXbe a nonempty subset, and letKRmbe a nonempty closed convex cone with intK /∅, where int denotes interior.

Definition 2.1. A real valued functionh:X→Ris said to be locally Lipschitz at a pointxXif there exists a numberL >0 such that

|hy−hz| ≤Lyz 2.1

for ally, zin a neighborhood ofx.his said to be locally Lipschitz onXif it is locally Lipschitz at each point ofX.

Definition 2.2. Leth:X→Rbe a locally Lipschitz function. Clarke15generalized directional derivative ofhatxXin the directionv, denoted byhx;v, is defined by

hx;v lim sup

y→x, t↓0

hytvhy

t . 2.2

Clarke15generalized gradient ofhatxX, denoted by∂hx, is defined by

∂hx

ξX:hx;v≥ ξ, d ∀v∈X

. 2.3

Letf : X→Rmbe a vector valued function given byf f1, f2, . . . , fm, where eachfi,i 1,2, . . . , m, is a real valued function defined onX. Thenfis said to be locally Lipschitz onXif eachfiis locally Lipschitz onX.

The generalized directional derivative of a locally Lipschitz functionf:X→RmatxX in the directionvis given by

fx;v

f1x;v, f2x;v, . . . , fmx;v

. 2.4

The generalized gradient ofhatxis the set

∂fx ∂f1∂f2x× · · · ×∂fmx, 2.5 where∂fixis the generalized gradient offiatxfori 1,2, . . . , m.

Every elementA ξ1, ξ2, . . . , ξm∂fxis a continuous linear operator fromXtoRm and

Ay

ξ1, y ,

ξ2, y , . . . ,

ξm, y

Rm, ∀y∈X. 2.6

(3)

Definition 2.3. Letf:X→Rmbe a locally Lipschitz function.

ifis said to beK-invex with respect toηatuX, if there existsη:X×X→Xsuch that for allxXandA∂fu,

fxfu

A, ηx, u

K. 2.7

iif is said to beK-pseudoinvex with respect toηatuXif there existsη :X×X→X such that for allxXandA∂fu,

fxfu∈ −intK

A, ηx, u

∈ −intK. 2.8

In this paper, we consider the following nonsmooth vector optimization problem:

K-minimize fx,

subject to xS, VOP

wheref f1, f2, . . . , fm,fi:X→R,i 1,2, . . . , m, are locally Lipschitz functions.

Definition 2.4. A pointx0Sis said to be a weakly efficient solution offif there exists noyS such that

fyfx∈ −intK. 2.9

In order to prove our main results, we need the following definition and lemmas.

Definition 2.5 see 16. A multivalued mappingG : X→2X is called KKM-mapping if for any finite subset{x1, x2, . . . , xn}ofX, co{x1, x2, . . . , xn}is contained inn

i 1Gxi, where coA denotes the convex hull of the setA.

Lemma 2.6see16. LetMbe a nonempty subset of a Hausdorfftopological vector spaceX. Let G:M→2Xbe a KKM-mapping such thatGxis closed for anyxMand is compact for at least one xM. Then y∈MGy/∅.

Lemma 2.7see2. LetKbe a convex cone of topological vector spaceX. Ify−xKandx /∈ −intK, theny /∈ −intKfor anyx, yX.

3. Main results

In order to obtain our main results, we introduce the following vector variational-like inequal- ity problem, which consists in findingx0Ssuch that for allA∂fx0,

A, η y, x0

/∈ −intK, ∀y∈S. VVIP

First, we establish the following relations betweenVOPandVVIP.

(4)

Lemma 3.1. Letf : X→Rm be a locally Lipschitz function andη : S×S→X. Then the following arguments hold.

iSuppose thatfisK-invex with respect toη. Ifx0is a solution ofVVIP, thenx0is a weakly efficient solution of VOP.

iiSuppose thatfisK-pseudoinvex with respect toη. Ifx0is a solution of VVIP, thenx0is a weakly efficient solution of VOP.

iiiSuppose thatf is−K-invex with respect toη. Ifx0is a weakly efficient solution of VOP, thenx0is a solution of VVIP.

Proof. iLetx0be a solution ofVVIP. Then A, η

y, x0

/∈ −intK,A∂f x0

, yS. 3.1

By theK-invexity offwith respect toη, we get fyf

x0

A, η

y, x0

K,A∂f x0

, yS. 3.2

From3.1,3.2andLemma 2.7, we obtain fyf

x0

/∈ −intK, ∀y∈S. 3.3

Therefore,x0is a weakly efficient solution ofVOP.

iiLetx0be a solution ofVVIP. Suppose thatx0is not a weakly efficient solution of VOP. Then, there existsySsuch that

fyf x0

∈ −intK. 3.4

SincefisK-pseudoinvex with respect toη, then A, η

y, x0

∈ −intK,A∂f x0

, 3.5

which contradicts the fact thatx0is a solution ofVVIP.

iiiAssume thatx0is a weakly efficient solution ofVOP. Then, fyf

x0

/∈ −intK,yS. 3.6

Sincefis−K-invex with respect toη, then

fyfx0− A, ηy, x0 ∈ −K, ∀A∂fx0, y∈S. 3.7 It follows fromLemma 2.7that

A, η y, x0

/∈ −intK,A∂f x0

, yS. 3.8 Therefore,x0is a solution ofVVIP.

(5)

Now we establish the following existence theorem.

Theorem 3.2. LetSX be a nonempty convex set andη :S×S→X. Letf :X→Rm be a locally LipschitzK-pseudoinvex function. Assume that the following conditions hold

iηx, x 0 for anyxS,ηy, xis affine with respect toyand continuous with respect tox;

iithere exist a compact subsetDofSandy0Dsuch that A, η

y0, x

∈ −intK,xS\D, A∂fx. 3.9 ThenVOPhas a weakly efficient solution.

Proof. ByLemma 3.1ii, it suffices to prove thatVVIPhas a solution. DefineG:S→2Sby Gy

xS:

A, ηy, x

/∈ −intK,A∂fx

,yS. 3.10 First we show thatG is a KKM-mapping. By conditioni, we get yGy. Hence, Gy/∅for allyS. Suppose that there exists a finite subset{x1, x2, . . . , xm} ⊆ S and that αi ≥0,i 1,2, . . . , m, withm

i 1αi 1 such thatx m

i 1αixi/m

i 1Gxi. Then,x /Gxifor all i 1,2, . . . , m. It follows that there existsA∂fxsuch that

A, η xi, x

∈ −intK, i 1,2, . . . , m. 3.11 SinceKis a convex cone andηis affine with respect to the first argument,

A, ηx, x

∈ −intK. 3.12

which gives 0 ∈ −intK. This is a contradiction since 0/∈ −intK. Therefore, G is a KKM- mapping.

Next, we show thatGyis a closed set for anyyS. In fact, let{xn}be a sequence of Gywhich converges to somex0S. Then for allAn∂fxn, we have

An, η y, xn

/∈ −intK. 3.13

Sincef is locally Lipschitz, then there exists a neighborhoodNx0ofx0andL >0 such that for anyx, yNx0,

fxfyLxy. 3.14 It follows that for anyxNx0and anyA∂fx,A ≤L. Without loss of generality, we may assume thatAnconverges toA0. Since the set-valued mappingx∂fxis closedsee 15, page 29andAn∂fxn,A0∂fx0. By the continuity ofηy, xwith respect to the second argument, we have

An, η y, xn

−→

A0, η y, x0

. 3.15 SinceRm\ −intKis closed, one has

A0, η y, x0

/∈ −intK. 3.16

Hence,Gyis a closed set for anyyS.

(6)

By condition ii, we haveGy0D. AsGy0is closed andD is compact, Gy0is compact. Therefore, byLemma 2.6, we have that there existsxSsuch that

x

y∈SGy, 3.17

or equivalently,

A, η y, x

/∈ −intK,A∂f x

, yS. 3.18

That is,xis a solution ofVVIP. This completes the proof.

Corollary 3.3. LetSXbe a nonempty convex set andη : S×S→X. Letf : X→Rmbe a locally LipschitzK-invex function. Assume that the following conditions hold:

iηx, x 0 for anyxS,ηy, xis affine with respect toyand continuous with respect tox;

iithere exist a compact subsetDofSandy0Dsuch that A, η

y0, x

∈ −intK,xS\D, A∂fx. 3.19

ThenVOPhas a weakly efficient solution.

Proof. Since aK-invex function isK-pseudoinvex, byTheorem 3.2, we obtain the result.

Acknowledgments

This work was supported by the National Natural Science Foundation of China10671135, the Specialized Research Fund for the Doctoral Program of Higher Education20060610005 and the Open FundPLN0703of State Key Laboratory of Oil and Gas Reservoir Geology and ExploitationSouthwest Petroleum University. And J. K. Kim was supported by the Korea Research Fundation Grant funded by the Korean GovermentMOEHRD, Basic Research Pro- motion FundKRF-2006-311-C00201.

References

1 F. Giannessi, “Theorems of alternative, quadratic programs and complementarity problems,” in Vari- ational Inequalities and Complementarity Problems, R. W. Cottle, F. Giannessi, and J. L. Lions, Eds., pp.

151–186, John Wiley & Sons, Chichester, UK, 1980.

2 G. Y. Chen, “Existence of solutions for a vector variational inequality: an extension of the Hartmann- Stampacchia theorem,” Journal of Optimization Theory and Applications, vol. 74, no. 3, pp. 445–456, 1992.

3 F. Giannessi, Ed., Vector Variational Inequalities and Vector Equilibria. Mathematical Theories, vol. 38 of Nonconvex Optimization and Its Applications, Kluwer Academic Publishers, Dordrecht, The Nether- lands, 2000.

4 N.-J. Huang and Y.-P. Fang, “On vector variational inequalities in reflexive Banach spaces,” Journal of Global Optimization, vol. 32, no. 4, pp. 495–505, 2005.

5 N.-J. Huang and J. Li, “On vector implicit variational inequalities and complementarity problems,”

Journal of Global Optimization, vol. 34, no. 3, pp. 399–408, 2006.

6 I. V. Konnov and J. C. Yao, “On the generalized vector variational inequality problem,” Journal of Mathematical Analysis and Applications, vol. 206, no. 1, pp. 42–58, 1997.

(7)

7 G. M. Lee, D. S. Kim, and H. Kuk, “Existence of solutions for vector optimization problems,” Journal of Mathematical Analysis and Applications, vol. 220, no. 1, pp. 90–98, 1998.

8 G. M. Lee, B. S. Lee, and S.-S. Chang, “On vector quasivariational inequalities,” Journal of Mathematical Analysis and Applications, vol. 203, no. 3, pp. 626–638, 1996.

9 S. J. Yu and J. C. Yao, “On vector variational inequalities,” Journal of Optimization Theory and Applica- tions, vol. 89, no. 3, pp. 749–769, 1996.

10 Q. H. Ansari and J. C. Yao, “On nondifferentiable and nonconvex vector optimization problems,”

Journal of Optimization Theory and Applications, vol. 106, no. 3, pp. 475–488, 2000.

11 G. Y. Chen and B. D. Craven, “Existence and continuity of solutions for vector optimization,” Journal of Optimization Theory and Applications, vol. 81, no. 3, pp. 459–468, 1994.

12 K. R. Kazmi, “Some remarks on vector optimization problems,” Journal of Optimization Theory and Applications, vol. 96, no. 1, pp. 133–138, 1998.

13 G. M. Lee, D. S. Kim, B. S. Lee, and N. D. Yen, “Vector variational inequality as a tool for studying vector optimization problems,” Nonlinear Analysis: Theory, Methods & Applications, vol. 34, no. 5, pp.

745–765, 1998.

14 X. Q. Yang, “Generalized convex functions and vector variational inequalities,” Journal of Optimization Theory and Applications, vol. 79, no. 3, pp. 563–580, 1993.

15 F. H. Clarke, Optimization and Nonsmooth Analysis, Canadian Mathematical Society Series of Mono- graphs and Advanced Texts, John Wiley & Sons, New York, NY, USA, 1983.

16 K. Fan, “A generalization of Tychonoff’s fixed point theorem,” Mathematische Annalen, vol. 142, no. 3, pp. 305–310, 1961.

参照

関連したドキュメント

He, “Double positive solutions of three-point boundary value problems for p-Laplacian dynamic equations on time scales,” Journal of Computational and Applied Mathematics,

Zhang, Positive solutions of singular sub-linear bound- ary value problems for fourth-order and second-order differential equation systems.. Wei, Positive solutions for

Then, under the assumption of continuous convergence of the objective function, we obtain some sufficient conditions of the upper Painlev´ e-Kuratowski stability of efficient

A limit theorem is obtained for the eigenvalues, eigenfunctions of stochastic eigenvalue problems respectively for the solutions of stochastic boundary problems, with weakly

Then we give some applications of the results in Sections 3 and 4 to two reaction-diffusion model problems that arise from nonstationary radiative heat transfer in a system of

Hiriart-Urruty, From Convex Optimization to Nonconvex Optimization, Nec- essary and Sufficient Conditions for Global Optimization, Nonsmooth Optimization and Related Topics, Plenum

Al-Baali 23 proved the sufficient descent condition and the global convergence of the FR conjugate gradient method with the SWP line search by restricting the parameter σ < 1/2..

In the present paper, we consider integrability for solutions of anisotropic obstacle problems of the A-harmonic equation 1.3, which show higher integrability of the boundary...