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Journal of Inequalities and Applications Volume 2010, Article ID 620928,17pages doi:10.1155/2010/620928

Research Article

Optimality Conditions for Approximate Solutions

in Multiobjective Optimization Problems

Ying Gao,

1

Xinmin Yang,

1

and Heung Wing Joseph Lee

2

1Department of Mathematics, Chongqing Normal University, Chongqing 400047, China 2Department of Applied Mathematics, The Hong Kong Polytechnic University,

Hung Hom, Kowloon, Hong Kong

Correspondence should be addressed to Ying Gao,[email protected]

Received 18 July 2010; Accepted 25 October 2010

Academic Editor: Mohamed El-Gebeily

Copyrightq2010 Ying Gao 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.

We study first- and second-order necessary and sufficient optimality conditions for approximate weakly, properlyefficient solutions of multiobjective optimization problems. Here, tangent cone,

-normal cone, cones of feasible directions, second-order tangent set, asymptotic second-order cone, and Hadamard upperlowerdirectional derivatives are used in the characterizations. The results are first presented in convex cases and then generalized to nonconvex cases by employing local concepts.

1. Introduction

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During the past decades, researchers and practitioners in optimization had a keen interest in approximate solutions of optimization problems. There are several important reasons for considering this kind of solutions. One of them is that an approximate solution of an optimization problem can be computed by using iterative algorithms or heuristic methods. In vector optimization, the notion of approximate solution has been defined in several ways. The first concept was introduced by Kutateladze10and has been used to establish vector variational principle, approximate Kuhn-Tucker-type conditions and approximate duality theorems, and so forth,see11–20. Later, several authors have proposed other-efficiency conceptssee, e.g., White21; Helbig22and Tanaka23.

In this paper, we derive different characterizations for approximate solutions by treating convex case and nonconvex cases. Giving up convexity naturally means that we need local instead of global analysis. Some definitions and notations are given in

Section 2. InSection 3, we derive some characterizations for global approximate solutions of

multiobjective optimization problems by using tangent cone, the cone of feasible directions and -normal cone. Finally, in Section 3, we introduce some local approximate concepts and present some properties of these notions, and then, first and second-order sufficient conditions for local properly approximate efficient solutions of vector optimization problems are derived. These conditions are expressed by means of tangent cone, second-order tangent set and asymptotic second-order set. Finally, some sufficient conditions are given for localweaklyapproximate efficient solutions by using Hadamard upperlowerdirectional derivatives.

2. Preliminaries

Let Rn be the n-dimensional Euclidean space and let Rn

be its nonnegative orthant. Let C

be a subset of Rn, then, the cone generated by the set Cis defined as coneC α≥0αC,

and intCand clCreferred to as the interior and the closure of the setC, respectively. A set

DRnis said to be a cone if coneD D. We say that the coneDis solid if intD /, and pointed ifD∩−D ⊂ {0}. The coneD is said to have a baseBifBis convex, 0/∈clBand

D coneB. The positive polar cone and strict positive polar cone ofDare denoted byD

andDs, respectively.

Consider the following multiobjective optimization problem:

minfx:xS, 2.1

whereSRnis an arbitrary nonempty set,f :S Rm. As usual, the preference relation defined inRmby a closed convex pointed coneDRmis used, which models the preferences used by the decision-maker:

y, zY, yz⇐⇒yz∈ −D. 2.2

We recall thatx0 ∈Sis an efficient solution of2.1with respect toDiffx0−DfS {fx0}.x0 ∈ S is a weakly efficient solution of 2.1with respect toD iffx0−

intDfS ∅ in this case, it is assumed thatD is solid.x0 ∈ Sis a Benson properly

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Definition 2.1see18,25. LetqD\ {0}be a fixed element, and≥0.

ixSis said to be a weaklyq-efficient solution of problem2.1iffSfx q∩−intD ∅in this case it is assumed thatDis solid.

iixSis said to be a efficientq-solution of problem2.1iffSfxq∩−D\ {0} ∅.

iiixSis said to be a properlyq-efficient solution of problem2.1, if cl conefS qDfx∩−D {0}.

The sets of q-efficient solutions, weakly q-efficient solutions, and properly q -efficient solutions of problem 2.1 are denoted by AEf, S, q, WAEf, S, q, and PAEf, S, q, respectively.

Remark 2.2. If 0, thenq-efficient solution, weaklyq-efficient solution, and properlyq -efficient solution reduce to efficient solution, weakly efficient solution and properly efficient solution of problem2.1.

Definition 2.3. LetZRmbe a nonempty convex set. The contingent cone ofZatzZis defined as

Tz, Z dRm: there existst

j ↓0 anddj−→dsuch thatztjdjZ

. 2.3

The cone of feasible directions ofZatzZis defined as

Fz, Z {dRm: there existst >0 such thatztdZ}. 2.4

Let≥0, the-normal set ofZatzZis defined as

Nz, Z

yRm:yTxz,xZ. 2.5

Lemma 2.4see26. LetN, KRmbe closed convex cones such thatNK {0}. Suppose that

Kis pointed and locally compact, orintK/, then,NKs/.

3. Cone Characterizations of Approximate Solutions: Convex Case

In this section, we assume thatfSis a convex set.

Theorem 3.1. LetxSand≥0. If

Ffx, fS∩−qD\ {0} ∅, 3.1

thenxAEf, S, q.

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Theorem 3.2. LetxS.

iIfTfx, fS∩−D\ {0} ∅, thenxPAEf, S.

iiLet >0, andDis solid set andq∈intD. IfTfx, fS∩−qD\ {0} ∅, then

xPAEf, S, q.

Proof. iSuppose, on the contrary, thatx /∈PAEf, S, then, there existsq ∈ −D\ {0}such thatq∈cl conefSfx D. Hence, there existλnR,xnSandqnD, nNsuch thatλnfxnfx qnq. Sinceq /0, there existsnNsuch thatλn>0.

SincefSis convex set, cl conefSfx Tfx, fS. Hence, cl conefSfx∩−D\ {0} ∅. FromLemma 2.4, there existsuDs such thatu, y ≥ 0, for all

y∈cl conefSfx.

On the other hand, fromuDs, we have u, q < 0. Therefore, there exists n

1 ∈ N such that u, fxn1−fx qn1 < 0, and so u, fxn1−fx < 0, which deduces a

contradiction, and the proof is completed.

iiNow, we let >0. FromTfx, fS∩−qD\ {0} ∅, we have

Tfx, fS∩−intD. 3.2

In fact, if there existspRm such thatp Tfx, fSintD, then, from q intD and > 0, there existsλ > 0 such thatp1 −λpqD \ {0}. Hence,−qp1 λpTfx, fS∩−qD\ {0}, which is a contradiction to the assumption.

SincefSis a convex set, cl conefSfx Tfx, fS. Hence,

cl conefSfx∩−intD. 3.3

By using the convex separation theorem, there existsuRm\ {0}such thatu, y ≥0, for all

y∈ −intDandu, y ≤0, for ally∈cl conefSfx. It is easy to get thatu, y ≥0, for ally∈ −D. Hence,u, y>0, for ally∈ −intD.

Suppose, on the contrary, thatx /∈PAEf, S, q, then, there existsyRmsuch that

y∈cl conefS qDfx∩−D\ {0}, 3.4

and there existyn∈conefS qDfx, for allnNsuch thatyny. That is, there existλn≥0, xnSandpnD, for allnNsuch thatyn λnfxn qpnfx, for all

nN. Sincey /0, there existsn1 ∈Nsuch thatλn >0, for allnn1. From >0,q∈intD

andpnD, for allnN, we haveqpn∈intD, for allnN. Therefore,

u, yn λn

u, fxnfx

u, qpn < λn

u, fxnfx ≤0,nn1. 3.5

Which impliesu, y<0. On the other hand, fromy∈ −D\ {0}, we haveu, y ≥0, which yields a contradiction. This completes the proof.

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Example 3.4. LetD R2

,q 1,1T,S {xR2 : x1 ≥ 0, x2 ≥ 0},f : SR2,fx x, 1/2 andx 1/2,1/2T, then,x∈AEf, S, qandx∈PAEf, S, q. ButFfx, fS R2 Tfx, fS. Hence,Ffx, fSqD\ {0}

/∅andTfx, fS∩−qD\ {0}/∅.

Theorem 3.5. Let xS, ≥ 0,D be a solid set andq ∈ intD. If there existsu ∈ −D\ {0}

such thatu, q ≥ 1 and uNfx, fS, then xWAEf, S, q. Conversely, if x

WAEf, S, q, then there existsu∈ −D\ {0}such thatu, q 1anduNfx, fS.

Proof. Assume that, there existsu∈ −D\{0}such that−u, q ≥1 anduNfx, fS. Suppose, on the contrary, thatx /∈WAEf, S, q, then, there existp∈ −intDandxSsuch thatp fxfxq. Fromu∈ −D\{0}and−u, q ≥1, we haveu, fxfxq>0. Hence,

u, fxfx >u, q. 3.6

On the other hand, from uNfx, fS, we have u, fxfx, which is a contradiction to the above inequality. Hence,x∈WAEf, S, q.

Conversely, letx∈WAEf, S, q, then,fSfx q∩−intD ∅. SincefSis convex andDis a convex cone, there existsu∈ −D\ {0}such thatu, fxfx q

0, for all xS. Since q ∈ intD, there existsu ∈ −D \ {0} such that−u, q 1 and

u, fxfx q ≤0, for allxS. Therefore,u, fxfx ≤ −u, q , for allxS, which impliesuNfx, fS. This completes the proof.

Theorem 3.6. Let xS and ≥ 0. If there exists u ∈ −Ds such thatu, q 1 and u Nfx, fS, thenxPAEf, S, q. Conversely, assume thatDis a locally compact set, ifx

PAEf, S, q, then there existsu∈ −Dssuch thatu, q 1anduN

fx, fS.

Proof. Assume that, there existsu ∈ −Ds such that u, q 1 and u N

fx, fS. Suppose, on the contrary, thatx /∈PAEf, S, q, then, there existspRmsuch that

p∈cl conefS qDfx∩−D\ {0}, 3.7

and there exists pn ∈ conefS qDfx, for allnN such thatpnp. From

uDs and p ∈ −D \ {0}, we have u, p > 0. Hence, there existsn1 ∈ N such that

u, pn > 0, for allnn1. Frompn ∈ conefS qDfx, for allnN, there exist

λn ≥0,xnS, andqnDsuch thatpn λnfxn qqnfx, for allnN. Therefore,

u, fxnqqnfx>0, for allnn1, which combing withqnDand−u, q ≥1 yields

u, fxnfx>u, q, for allnn1, which is a contradiction touNfx, fS. Hence,x∈PAEf, S, q.

Conversely, letx∈PAEf, S, q, then,

cl conefS qDfx∩−D {0}. 3.8

Since fS is a convex set, cl conefS q Dfx is a closed convex cone. From

Lemma 2.4, there existsu∈−DsDs such thatu∈ −cl conefS qDfx.

Sinceq∈intD,Dsandcl conefS qDfxare cone, there existsuDssuch

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Now, we prove thatuNfx, fS. That is,u, fxfx, for allxS. Fromu∈ −cl conefS qDfx, we have

u, fxfx qp ≤0,xS, pD. 3.9

Since 0∈Dand−u, q 1, we have

u, fxfx ≤ −u, q ,xS. 3.10

Which impliesuNfx, fS. This completes the proof.

Example 3.7. LetD R2,q 1,1T,S {xR2 : x1 ≥ 0, x2 ≥ 0},f : SR2,fx x, 1/2 andx 1/2,1/2T, then,x∈WAEf, S, andx∈PAEf, S, . Letu −1/2,1/2T, thenu, p 1 anduNfx, fS {xR2:x1x2≥ −1, x1≤0, x0≤0}.

Remark 3.8. iIf 0 andD Rm

, then Theorems3.1and3.5reduce to the corresponding

results in1.

ii In 1, the cone characterizations of Henig’ properly efficient solution were derived. We know that Henig’ properly efficient solution equivalent to Benson properly efficient solution, whenDis a closed convex pointed conesee24. Therefore, if 0 and

D Rm

, Theorems3.2and3.6reduce to the corresponding results in1.

4. Cone Characterizations of Approximate Solutions: Nonconvex Case

In this section,fSis no longer assumed to be convex. In nonconvex case, the corresponding local concepts are defined as follows.

Definition 4.1. LetqD\ {0}be a fixed element and≥0.

ixSis said to be a local weaklyq-efficient solution of problem2.1, if there exists a neighborhoodVofxsuch thatfSVfx q∩−intD ∅in this case, it is assumed thatDis solid.

iixSis said to be a local q-efficient solution of problem2.1, if there exists a neighborhoodV ofxsuch thatfSVfx q∩−D\ {0} ∅.

iiixSis said to be a local properlyq-efficient solution of problem2.1, if there exists a neighborhoodV ofxsuch that cl conefSVqDfx∩−D {0}.

The sets of local q-efficient solutions, local weaklyq-efficient solutions and local properlyq-efficient solutions of problem2.1are denoted by LAEf, S, q, LWAEf, S, q

and LPAEf, S, q, respectively.

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Definition 4.2see4,5. LetZRmandy, vRm.

iThe second-order tangent set toZaty, vis defined as

T2Z, y, v

dRm:∃tn↓0,dn−→dsuch thatyn ytnv 1 2t

2

ndnZ,nN

.

4.1

iiThe asymptotic second-order tangent cone toZaty, vis defined as

TZ, y, v

dRm:∃tn, rn↓0,0,dn−→d

such that tn

rn−→

0, yn xtnv 1

2tnrndnZ,nN

.

4.2

In 4–9, some properties of second-order tangent sets have been derived, see the following Lemma.

Lemma 4.3. Lety∈clZandvRm, then,

iT2Z, y, vandTZ, y, vare closed sets contained incl coneconeZyv, and TZ, y, vis a cone.

iiIf v /Ty, Z, thenT2Z, y, v TZ, y, v . Ifv Ty, Z, thenT2Z, y, v TZ, y, v/. Ify ∈ intZ, thenT2Z, y, v TZ, y, v Rm, andT2Z, y,0 TZ, y,0 Ty, Z.

iiiLet Z is convex. IfvTy, Z andTZ, y, v/, thenT2Z, y, v TZ, y, v

cl coneconeZyv Tv, TZ, y.

Definition 4.4see27. LetKRnandφ:KRbe a nonsmooth function. The Hadamard upper directional derivative and the Hadamard lower directional derivative derivative ofφ

atxKin the directiondRnare given by

φx, d lim t↓0 suphd

φxthφx

t ,

φx, d lim t↓0 hinf→d

φxthφx

t .

4.3

Lemma 4.5see7. LetY be a finite-dimensional space andy0 ∈ EY. If the sequence yn

E\ {y0} converges to y0, then there exists a subsequence (denoted the same) yn such thatyn

y0/tnconverges to some nonnull vectoruTy0, E, wheretn yny0, and eitheryny0− tnu/1/2t2nconverges to some vectorzT2E, y0, uuor there exists a sequencern → 0such

thattn/rn → 0andyny0−tnu/1/2tnrnconverges to some vectorzTE, y0, uu⊥\ {0}, whereudenotes the orthogonal subspace tou.

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Theorem 4.6. iLetintD /, then, for any fixedqD\ {0},

LWEf, S

>0

LWAEf, S, q. 4.4

Conversely, ifxS, and there exists a neighborhoodV ofxsuch thatfSVfx∩−q

intD, for all >0, that is,xWAEf, SV , q, for all >0, thenxLWEf, S.

iiFor any fixedqD\ {0}, LEf, S>0LAEf, S, q. Conversely, ifxSand there exists a neighborhoodV ofxsuch that for any fixedqD\ {0}and > 0,fSVfx

qD\ {0} ∅, thenxLEf, S.

iiiFor any fixedqD\ {0}, LPEf, S>0LPAEf, S, q. Conversely, ifxSand there exists a neighborhoodV ofx such that for any fixedqD \ {0}and > 0,conefSVfx qDis a closed set, andcl conefSVfx qD∩−D {0}, then

xLPEf, S.

Proof. iLetx∈LWEf, S, then, there exists a neighborhoodV1ofxsuch thatfSV1− fx∩−intD ∅. FromqD\ {0}, we have

fSV1−fx

q−intD, >0. 4.5

Which impliesx>0LWAEf, S, q.

Conversely, we assume that there exists a neighborhood V of x such that x

WAEf, SV , q, for all >0. Suppose, on the contrary, thatx /∈LWEf, S, then, for any neighborhoodV ofxfSVfx∩−intD/∅. TakeV V, then, there existp ∈ intD

and xSV such that fxfxp. Therefore, if > 0 is sufficiently small, we have fxfxpqpq ∈ −q − intD, which is a contradiction to

x∈WAEf, SV , q, for all >0. This completes the proof.

iiIt is easy to see that LEf, S>0LAEf, S, q.

Conversely, we assume that there exists a neighborhoodV ofxsuch that for any fixed

qD\ {0}and >0,fSVfx∩−qD\ {0} ∅. Suppose, on the contrary, that

x /∈LEf, S, then, for any neighborhoodV ofx, we havefSVfx∩−D\{0}/∅. Take

V V, then, there existpD\ {0}andxSV such thatfxfxp. Takeq p/2 and 1, then,fxfxpqp/2∈ −qD\ {0}, which is a contradiction to the assumption. This completes the proof.

iiiIt is easy to see that LPEf, S>0LPAEf, S, q.

Conversely, we assume that there exists a neighborhoodV ofxsuch that for any fixed

qD\ {0}and > 0, conefSVfx qDis a closed set, and cl conefSVfx qD∩−D {0}. Suppose, on the contrary, thatx /∈LPEf, S, then, for any neighborhoodVofx, we have cl conefSVfx D∩−D\ {0}/∅. TakeV V, then, there existλ >0,p1D\ {0},p2DandxSV such thatλfxfx p2p1. Take

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Theorem 4.7. Letfbe a continuous function onS,xS, and >0.

iIfTfx, fS∩−qD, thenxLAEf, S, q.

iiIfTfx, fS∩−qD/, and for eachvTfx, fS∩−qD

T2fS, fx, vv⊥∩−cl coneDqv,

TfS, fx, vv⊥∩−cl coneDqv {0},

4.6

thenxLAEf, S, q.

Proof. iLetTfx, fS∩−qD ∅. Suppose, on the contrary, thatx /∈LAEf, S, q, then, there existsxnSandxnxsuch thatfxnfx q ∈ −D\ {0}, for allnN. Sincef is a continuous function and D is a pointed cone,fxn/fx, for allnN and

fxnfx. Therefore,fxnfx/fxnfxdTfx, fS. On the other hand, for anynN, we have

fxnfx

fxnfx ∈ − 1 fxnfx

qD\ {0}

⊂ −

qD\ {0}

1

fxnfx−1

q

.

4.7

SincefxnfxandqD\ {0}, there existsn1∈Nsuch that

1

fxnfx−1

qD,nn1. 4.8

Hence,d∈ −qD, which is a contradiction to the assumption. This completes the proof.

iiSuppose, on the contrary, thatx /∈LAEf, S, q. Similar to the proof ofi, we have there existsxnxsuch that

fxnfx

fxnfx −→dTfx, fS∩−qD. 4.9

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Corollary 4.8. Letfbe a continuous function onS,xSand 0.

iIfTfx, fS∩−D {0}, thenxis a local efficient solution of problem2.1. iiIfTfx, fS∩−D\ {0}/, and for eachvTfx, fS∩−D\ {0}

T2fS, fx, vv⊥∩−cl coneDv,

TfS, fx, vv⊥∩−cl coneDv {0},

4.10

thenxis a local efficient solution of problem2.1.

Proof. The proof is similar toTheorem 4.7.

Remark 4.9. If fS is convex, then the condition ii of Theorem 4.7 is equivalent to the following condition

iiTfx, fS∩−qD/∅, and for eachvTfx, fS∩−qD

0/T2fS, fx, v, TfS, fx, vv⊥∩−cl coneDqv {0}, 4.11

sinceT2fS, fx, vTfS, fx, vbyLemma 4.3iii.

Theorem 4.10. Letfbe continuous onS,xS, and≥0.

iAssume thatDhas a compact baseB,p αbforbBandα >0, and there existsδ >0

such thatfSfxδUTfx, fS. IfTfx, fS∩−qD\ {0} ∅, thenxLPAEf, S, q.

iiAssume thatTfx, fS∩−qD\ {0}/, and there existsβ >0such that for each

dTfx, fS\ {0}∩−qDβUthe following conditions hold

T2fS, fx, dd⊥∩−cl coneDqβUd,

TfS, fx, dd⊥∩−cl coneDqβUd {0},

4.12

thenxLPAEf, S, q, where,Udenotes the closed unit ball ofRm.

Proof. iLetTfx, fS∩−qD\ {0} ∅, then,Tfx, fS∩−λbB ∅, for all

λ >0. The assumptions and the separation result28, page 9implies that for anyλ >0 there exists a neighborhoodof 0 such that

Tfx, fS∩−λbBVλ. 4.13

Suppose, on the contrary, thatx /∈LPAEf, S, q, then, for any neighborhoodVof 0, we have

cl cone

f

S

xV

n

fx qD

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Therefore, cl cone f SxV

n

fx qD

∩ −B /. 4.15

That is, for anynN there exist zn ∈ cl conefSxV/nfx qD∩−B, and so, for anynN there existsλk

n ≥ 0, xnkSxV/nand pknDsuch thatzkn

λk

nfxknfx qpnkand zknzn. Since znkzn, there existsk1 ∈ N such that zknznV, for allkk1. Byzkn λnkfxnkfx qpkn, we have

λkn

fxkn

fxznVλkn

qpkn

,kk1. 4.16

Letpk

n βknθnkforβkn≥0 andθknB, then,

λk n 1λknβkn

fxkn

fx∈ −

zn 1λknβnk

λknβknθkn 1λknβnk

αλknb 1λknβkn

V

1λknβkn

. 4.17

Letγk

nzn/1λnkβkn λknβknθkn/1λknβnk, then,γnkB, sinceBis a convex set, and so,

λk n 1λk

nβkn

fxkn

fx∈ −γnk

αλk nb 1λk

nβnk

V

1λk nβkn

,kk1. 4.18

On the other hand, fromxk

nSxV/n, we havexknxwhenn → ∞andk → ∞. Sincefis a continuous function,fxk

nfxwhenn → ∞andk → ∞, which combining with the assumptionfSfxδUTfx, fSyields there existn1∈Nandkn1∈N

such that

fxkn1

fxfSfxδUTfx, fS,kkn1. 4.19

Fromzn1/0, there existskn1 ∈ Nsuch thatλkn1 > 0, for allkkn1. Takek2 max{kn1, kn1},

and letλ αλk2

n1/1λnk1β2 kn21>0. SinceV is an arbitrary set, it follows that

λk2

n1

1λk2

n1β

k2

n1

fxk2

n1

fx∈−BλbVλ. 4.20

Which is a contradiction to4.13. This completes the proof.

iiSuppose, on the contrary, thatx /∈LPAEf, S, , then, for anyγ >0 andnN, we have cl cone f SxγU

n

fx qD

∩−D\ {0}/. 4.21

Let V γU. Similar to the proof ofi, we have for any nN there exist λk

n ≥ 0, xnk

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obvious thatfxk

n/fx. Otherwise,znqD∩−D\ {0}, which is a contradiction to the assumption thatDis a pointed cone. Sincezn/0 andznkzn, there existsk1 ∈Nsuch

thatλk

n >0 andzknznV, for allkk1. FromxknSxV/n, we havexnkx, when

n → ∞andk → ∞. Sincefis a continuous function andfxk

n/fx, it is easy to see that

fxknfx/fxnkfxdTfx, fS. Fromzkn λknfxknfx qpkn, we have for sufficiently largen, kN

fxkn

fx

fxkn

fx

zknλkn

qpkn

λknf

xnk

fx. 4.22

On the other hand, we have

zknλkn

qpnk

λknf

xkn

fx ∈ −qDV, 4.23

for sufficiently largek, nN. In fact, for sufficiently largek, nN

zk nλkn

qpk

n

λknf

xkn

fx

znVλkn

qD

λknf

xkn

fx . 4.24

Hence,

zk nλkn

qpk

n

λk nf

xk

n

fx∈ −qD

V λk

nf

xk

n

fx, 4.25

whenkandnsufficiently large enough. Sinceγ >0 is arbitrary,

fxk n

fx

fxk n

fx zk

nλkn

qpk

n

λk nf

xk

n

fx −→d

qDβUTfx, fS. 4.26

Let tkn fxnkfx and zkn 2/tknfxknfx/tknd. Similar to the proof of

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Remark 4.11. IffSis convex, then the conditionsiandiiofTheorem 4.10are equivalent toiandii, respectively.

i Dhas a compact baseB,p αbfor somebB,α >0, andTfx, fS∩−qD\ {0} ∅.

iiTfx, fS∩−qD\ {0}/∅, and there existsβ > 0 such that for eachd

Tfx, fS\ {0}∩−qDβU

0/T2fS, fx, d, TfS, fx, dd⊥∩−cl coneDqβUd {0}.

4.27

Remark 4.12. The conditions of Theorem 4.7, Corollary 4.8 and Theorem 4.10 are not necessary conditions, see Examples4.14and4.15.

Now, we give some examples to verify the results ofTheorem 4.7,Theorem 4.10and

Corollary 4.8.

Example 4.13. Let D R2

, S {x1, x2 ∈ R2 : x2 ≥ |x1|3/2},f : SR2,fx1, x2 x1, x2T,q 1,1T, and > 0. We consider x 0,0TS. It is easy to see that Tfx, fS∩−qD ∅ and fSfxTfx, fS. That is, the conditioni ofTheorem 4.10is valid, andx∈LPAEf, S, q PAEf, S, q, for all >0.

If we let 0 < <1 andx , 3/2TS, then,Tfx, fS∩−qD/∅. But the conditioniiofTheorem 4.10is valid. Hence,x∈LPAEf, S, P EAf, S, .

Let 0, then,Tfx, fS∩−D\ {0}/∅. But for alldTfx, fS∩−D\ {0}, the condition ii of Corollary 4.8 satisfies see Example 3.7 in 7, and x is an efficient solution of this problem, since fS is a convex set. But for any β > 0, it is easy to check that there existsdTfx, fS\ {0}∩−DβUsuch thatTfS, fx, d T2fS, fx, d cl coneDdβU R2. In fact, for anyβ > 0, taked β/2, β/2T

Tfx, fS\ {0}∩−DβU, then,TfS, fx, d T2fS, fx, d cl coneDd βU R2andd{y y

1, y2TR2:y1y2 0}. Hence, the conditioniiofTheorem 4.10

is false, andxis not a properly efficient solution of this problem.

Example 4.14. LetD R2

,q 1,1T,S {x1, x2T : x1x2 ≥ 0} ∪ {x1, x2 ∈ R2 : x1 ≥

1} ∪ {x1, x2∈R2 :x2 ≥1},fx:SR2andfx x. Takex 0,0T, then, it is easy to

see that there existsδ >0 such thatfSfxδUTfx.fSandTfx, fS

qD\ {0} ∅, for all≥0. Hence,x∈LPAEf, , p, for all≥0. Butxis not a global properly efficient solution, where,Uis closed unit ball ofR2.

We let 0< <1 andx , TS, then,Tfx, fS∩−qD\ {0}/∅, for all

>0, andiiinTheorem 4.10is false. In fact, for anyβ >0 anddTfx, fS∩−qDβU ⊂ −intR2

,T2fx, fS, d Tfx, fS, d R2, sincefx ∈ intfS. But x∈LPAEf, S, . This implies that the conditions ofTheorem 4.10are not necessary.

Example 4.15. LetD R2

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condition iiof Theorem 4.7is false. In fact, if we taked −2,−2TTfx, fS

qD, then,d⊥ {y1, y2T :y1y2 0},−cl coneDqd R2andTfS, fx, d

{y1, y2TR2:y2≥y1}. Therefore,TfS, fx, vvT∩−cl coneDqv {y1, y2∈ R2 :y

1y2 0, y1≤0}.

Example 4.16. LetD R2,S {x1, x2∈R2 :x2 |x1|3/2},f :SR2,fx1, x2 x1, x2T, q 1,1T, and >0. We considerx 0,0TS. It is easy to see thatTfx, fS∩−qD ∅andfSfxTfx, fS. That is, the conditioniofTheorem 4.7is valid, and

x∈LPAEf, S, q PAEf, S, q, for all >0.

Theorem 4.17. LetxS,≥0andD Rm

.

iIffx, d∩−q−intRm

, for any unit vectordTx, S, thenxLWAEf, S, q.

iiIffx, d∩−qRm

\{0} ∅, for any unit vectordTx, S, thenxLAEf, S, q.

Where,fx, d f1x, d, . . . ,fmx, dT.

Proof. iSuppose, on the contrary, thatx /∈LWAEf, S, q, then, there existsxkS\ {x},

kNandxkxsuch thatfxkfx∈ −q − intRm. Letdk xkx/xkxand

tk xkx, then,tk → 0,dkdTx, Sandd 1. Hence,

fxkfx

tk

fxtkdkfx

tk ∈ −q−intR m

1

tk −1

q. 4.28

Sincetk ↓ 0, there existsk1 ∈ N such thatfxkfx/tk ∈ −q−intRm, for allkk1.

Hence,

fixkfix

tk qi<

0,i∈ {1, . . . , m}, kk1. 4.29

Therefore,

fix, d qi limt0 hinfd

fixthfix

t qi

≤lim inf n→ ∞

fixtndnfix

tn qi<

0,i∈ {1, . . . , m}.

4.30

Which is a contradictions to the assumption. This completes the proof.

iiSimilar to the proof ofi, we have there existsxkS\{x}, kNandxkxsuch thatfxkfx∈ −qRm \ {0}. Hence, there existsk1∈Nsuch thatfxkfx/tk

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andtk

nofxkandtk, respectively, then there exist an indexi0∈ {1, . . . , m},n0∈Nandk0 ∈N

such that

fi

xk

n

fix

tkn

qi≤0,i∈ {1, . . . , m},kk0, nn0,

fi0

xk n

fi0x tk

n

qi0 <0,kk0, nn0.

4.31

Therefore,fix, d qi ≤ 0, for alli ∈ {1, . . . , m}, andfi0x, d qi0 < 0, which is a

contradiction to the assumption. This completes the proof.

Remark 4.18. The following necessary conditions for-local weaklyefficientsolutions may not be true.

x∈LWAEf, S, qfx, d∩−q−intRm,dTx, S.

x∈LAEf, S, qfx, d∩−qRm \ {0} ∅,dTx, S. 4.32

See the following example.

Example 4.19. Letfx f1x, f2xT :RR2,

f1x ⎧ ⎨ ⎩

xsin1

x, x /0,

0, x 0,

4.33

f2x x, 2,q 1,1T,S {xR : −2x ≤ 2}. Consider the following

problem:

min

xSfx. MP

It is easy to see thatx 0 is anq-efficient solution ofMP, but,{dR : fx, d q ∈ −intR2} ∩Tx, S/∅. In fact,

f1

x, d limt0 infhd

f1thf10

t limt↓0 infhdhsin 1

th −|d|,dR. 4.34

f2x, d d, for alldR. It is obvious that−1∈ {dR:fx, d q∈ −intR2}. On the

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Acknowledgments

This work was partially supported by the National Science Foundation of China no. 10771228 and 10831009, the Research Committee of The Hong Kong Polytechnic University, the Doctoral Foundation of Chongqing Normal Universityno.10XLB015and the Natural Science Foundation project of CQ CSTCno. CSTC. 2010BB2090.

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