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Tiêu đề Second order lower radial tangent derivatives and applications to set-valued optimization
Tác giả Bihang Xu, Zhenhua Peng, Yihong Xu
Trường học Nanchang University
Chuyên ngành Mathematics
Thể loại Research article
Năm xuất bản 2017
Thành phố Nanchang
Định dạng
Số trang 19
Dung lượng 1,38 MB

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R E S E A R C H Open AccessSecond-order lower radial tangent derivatives and applications to set-valued optimization Bihang Xu1, Zhenhua Peng2,3and Yihong Xu3* * Correspondence: xuyihong

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R E S E A R C H Open Access

Second-order lower radial tangent

derivatives and applications to set-valued

optimization

Bihang Xu1, Zhenhua Peng2,3and Yihong Xu3*

* Correspondence:

xuyihong@ncu.edu.cn

3 Department of Mathematics,

Nanchang University, Nanchang,

330031, China

Full list of author information is

available at the end of the article

Abstract

We introduce the concepts of second-order radial composed tangent derivative, second-order radial tangent derivative, second-order lower radial composed tangent derivative, and second-order lower radial tangent derivative for set-valued maps by means of a radial tangent cone, second-order radial tangent set, lower radial tangent cone, and second-order lower radial tangent set, respectively Some properties of second-order tangent derivatives are discussed, using which second-order necessary optimality conditions are established for a point pair to be a Henig efficient element

of a set-valued optimization problem, and in the expressions the second-order tangent derivatives of the objective function and the constraint function are separated

MSC: 46G05; 90C29; 90C46 Keywords: Henig efficiency; radial tangent derivative; set-valued optimization;

optimality condition

1 Introduction

In recent years, first-order optimality conditions in the set-valued optimization have at-tracted a great deal of attention, and various derivative-like notions have been utilized to

express these optimality conditions For example, Gong et al [] introduced the concept of

radial tangent cone and presented several kinds of necessary and sufficient conditions for some proper efficiencies, Kasimbeyli [] gave necessary and sufficient optimality condi-tions based on the concept of the radial epiderivatives At the same time, second-order op-timality conditions and higher-order opop-timality conditions for vector optimization

prob-lems have been extensively studied in the literature (see [–]) Jahn et al [] proposed

second-order epiderivatives for set-valued maps, and by using these concepts they gave second-order necessary optimality conditions and a sufficient optimality condition in set optimization Khan and Isac [] proposed the concept of a second-order composed con-tingent derivative for set-valued maps, using which they established second-order opti-mality conditions in set-valued optimization With a second-order composed contingent

derivative, Zhu et al [] established second-order Karush-Kuhn-Tucker necessary and

sufficient optimality conditions for a set-valued optimization problem However, in [, ,

–, ], in the expressions of first-order and higher-order optimality conditions, the

tan-© The Author(s) 2017 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, pro-vided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and

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gent derivatives of the objective function and the constraint function are not separated, and thus the properties of the derivatives of the objective function are not easily obtained from those of the constraint function

On the other hand, some efficient points exhibit certain abnormal properties To elim-inate such anomalous efficient points, various concepts of proper efficiency have been introduced [–] Henig [] introduced the concept of Henig efficiency, which is very important for the study of set-valued optimization [, , , ]

In this paper, we introduce a new class of lower radial tangent cones and two new kinds

of second-order tangent sets, using which we introduce four new kinds of second-order tangent derivatives We discuss the properties of these second-order tangent derivatives, using which we establish second-order necessary optimality conditions for a point pair to

be a Henig efficient element of a set-valued optimization problem

2 Basic concepts

Throughout the paper, let X, Y , and Z be three real normed linear spaces,  X, Y, and Z

denote the original points of X, Y , and Z, respectively Let M be a nonempty subset of Y

As usual, we denote the interior, closure, and cone hull of M by int M, cl M, and cone M, respectively The cone hull of M is defined by

coneM={λm : λ ≥ , m ∈ M}.

Let C and D be closed convex pointed cones in Y and Z, respectively A nonempty con-vex subset B ⊂ C is called a base of C if  /∈ cl B and C = cone B.

Denote the closed unit ball of Y by U Suppose that C has a base B Let δ := inf{b : b ∈

B} and

C ε (B) := cone(εU + B) for all  < ε < δ It is clear that δ >  and C ε (B) is a pointed convex cone for all  < ε < δ (see

[])

Let F : X→ Y be a set-valued map The domain, graph, and epigraph of F are defined

respectively by

x ∈ X : F(x) = ∅,

(x, y) ∈ X × Y : y ∈ F(x),

(x, y) ∈ X × Y : y ∈ F(x) + C

Definition . (See []) Let A be a nonempty subset of X, and let ˆx ∈ cl A The radial tangent cone of A at ˆx, denoted by R(A, ˆx), is given by

R (A, ˆx) :=u ∈ X : ∃t n >  and x n ∈ A such that t n (x nˆx) → u (.)

Remark . Equation (.) is equivalent to

R (A, ˆx) = {u ∈ X : ∃λ n >  and u n → u such that ˆx + λ n u n ∈ A, ∀n ∈ N}, where N denotes the set of positive integers.

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Definition .(See []) Let A be a nonempty subset of X, and let ˆx ∈ cl A The contin-gent cone of A at ˆx, denoted by T(A, ˆx), is given by

T (A, ˆx) :=u ∈ X : ∃t n→ +and u n → u such that ˆx + t n u n ∈ A, ∀n ∈ N (.)

Remark .(See []) Equation (.) is equivalent to

T (A, ˆx) :=u ∈ X : ∃λ n → +∞ and x n ∈ A such that x n → ˆx and λ n (x nˆx) → u

Definition .(See []) Let A be a nonempty subset of X, and let ˆx ∈ cl A The second-order contingent set of A at ˆx in the direction w, denoted by T(A, ˆx, w), is given by

T(A, ˆx, w) :=



v ∈ X : ∃t n→ +and v n → v such that ˆx + t n w+

t

n v n ∈ A



Definition . (See [, ]) Let F : X→ Y be a set-valued map, (ˆx, ˆy) ∈ graph F, and

(ˆu, ˆv) ∈ X × Y The second-order composed contingent derivative of F at (ˆx, ˆy) in the

di-rection (ˆu, ˆv) is the set-valued map D F(ˆx, ˆy, ˆu, ˆv) : X → Ydefined by

graphD F(ˆx, ˆy, ˆu, ˆv) = TT

graphF, (ˆx, ˆy), (ˆu, ˆv)

Definition .(See []) Let F : X→ Y be a set-valued map, (ˆx, ˆy) ∈ graph F, and (ˆu, ˆv) ∈

X × Y The second-order contingent derivative of F at (ˆx, ˆy) in the direction (ˆu, ˆv) is the set-valued map DF(ˆx, ˆy, ˆu, ˆv) : X → Y defined by

DF(ˆx, ˆy, ˆu, ˆv)(x) =y ∈ Y : (x, y) ∈ T

graphF, (ˆx, ˆy), (ˆu, ˆv)

In the following, we introduce a new class of lower radial tangent cones and two new kinds of second-order tangent sets

Definition . Let Q be a nonempty subset of X ×Y , and let (ˆx, ˆy) ∈ cl Q The lower radial tangent cone of Q at ( ˆx, ˆy) is defined by

R l



Q, (ˆx, ˆy):=

(u, v) ∈ X × Y : ∀t n> ,∀u n → u, ∃v n → v

such that (ˆx + t n u n,ˆy + t n v n)∈ Q

Definition . Let Q be a nonempty subset of X × Y , and let (ˆx, ˆy) ∈ cl Q The second-order lower radial tangent set of Q at ( ˆx, ˆy) in the direction (ˆu, ˆv), denoted by R

l (Q, ( ˆx, ˆy),

(ˆu, ˆv)), is given by

Rl

Q, (ˆx, ˆy), (ˆu, ˆv):=



(u, v) ∈ X × Y : ∀t n> ,∀u n → u, ∃v n → v

such that



ˆx + t n ˆu +

t

n u n,ˆy + t n ˆv +

t

n v n

∈ Q



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Definition . Let A be a nonempty subset of X, and let ˆx ∈ cl A The second-order radial tangent set of A at ˆx in the direction w, denoted by R(A, ˆx, w), is given by

R(A, ˆx, w) :=



v ∈ X : ∃t n >  and v n → v such that ˆx + t n w+

t

n v n ∈ A



Remark . Let∅ = Q ⊂ X × Y , (ˆx, ˆy) ∈ cl Q Then

(i) R l (Q, ( ˆx, ˆy)) ⊂ T(Q, (ˆx, ˆy)) ⊂ R(Q, (ˆx, ˆy));

(ii) Rl (Q, (ˆx, ˆy), (ˆu, ˆv)) ⊂ T(Q, (ˆx, ˆy), (ˆu, ˆv)) ⊂ R(Q, (ˆx, ˆy), (ˆu, ˆv)).

However, none of the inverse inclusions is necessarily true, as is shown in the following example

Example . Let R be the set of real numbers, X = Y = R, Q ={(–

n,n) : n = , , } ∪ {(x, y) : x ≥ , y ≥ } ∪ {(–, –)}, and (ˆx, ˆy) = (ˆu, ˆv) = (, ) A direct calculation gives

Rl (Q, (, ), (, )) = {(x, y) : x > , y ≥ }, T(Q, (, ), (, )) = {(x, y) : x ≥ , y ≥ } ∪ {(x, ) : x < }, and R(Q, (, ), (, )) = {(x, y) : x ≥ , y ≥ } ∪ {(x, ) : x < } ∪ {(x, x) : x <

} ∪ ∞n={λ(–

n,n) : λ > }.

3 The second-order lower radial tangent derivative

In this section, by virtue of the radial tangent cone, the second-order radial tangent set, the lower radial tangent cone, and the second-order lower radial tangent set, we introduce the concepts of the second-order radial composed tangent derivative, the second-order radial tangent derivative, the second-order lower radial composed tangent derivative, and the second-order lower radial tangent derivative for a set-valued map Furthermore, we discuss some important properties of the second-order lower radial composed tangent derivative and the second-order lower radial tangent derivative

Definition . Let F : X→ Y be a set-valued map, (ˆx, ˆy) ∈ graph F, and (ˆu, ˆv) ∈ X × Y

The second-order radial composed tangent derivative of F at ( ˆx, ˆy) in the direction (ˆu, ˆv)

is the set-valued map R F(ˆx, ˆy, ˆu, ˆv) : X → Y defined by

graphR F(ˆx, ˆy, ˆu, ˆv) = RR

epiF, (ˆx, ˆy), (ˆu, ˆv)

If R(R(epi F, ( ˆx, ˆy)), (ˆu, ˆv)) = ∅, then F is said to be second-order radial composed

deriv-able at (ˆx, ˆy) in the direction (ˆu, ˆv) or that the second-order radial composed tangent

derivative of F at ( ˆx, ˆy) in the direction (ˆu, ˆv) exists.

Definition . Let F : X→ Y be a set-valued map, (ˆx, ˆy) ∈ graph F, and (ˆu, ˆv) ∈ X × Y

The second-order radial tangent derivative of F at ( ˆx, ˆy) in the direction (ˆu, ˆv) is the set-valued map RF(ˆx, ˆy, ˆu, ˆv) : X → Ydefined by

graphRF(ˆx, ˆy, ˆu, ˆv) = R

epiF, (ˆx, ˆy), (ˆu, ˆv)

If R(epi F, ( ˆx, ˆy), (ˆu, ˆv)) = ∅, then F is called second-order radial derivable at (ˆx, ˆy) in the

direction (ˆu, ˆv) or that the second-order radial tangent derivative of F at (ˆx, ˆy) in the

direc-tion (ˆu, ˆv) exists.

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Definition . Let F : X→ Y be a set-valued map, (ˆx, ˆy) ∈ graph F, and (ˆu, ˆv) ∈ X × Y

The second-order lower radial composed tangent derivative of F at (ˆx, ˆy) in the direction

(ˆu, ˆv) is the set-valued map R

l F(ˆx, ˆy, ˆu, ˆv) : X → Ydefined by

graphR l F(ˆx, ˆy, ˆu, ˆv) = R l



R l

epiF, (ˆx, ˆy), (ˆu, ˆv)

If R l (R l (epi F, (ˆx, ˆy)), (ˆu, ˆv)) = ∅, then F is said to be second-order lower radial composed

derivable at (ˆx, ˆy) in the direction (ˆu, ˆv) or that the second-order lower radial composed

tangent derivative of F at ( ˆx, ˆy) in the direction (ˆu, ˆv) exists.

Definition . Let F : X→ Y be a set-valued map, (ˆx, ˆy) ∈ graph F, and (ˆu, ˆv) ∈ X × Y

The second-order lower radial tangent derivative of F at (ˆx, ˆy) in the direction (ˆu, ˆv) is the set-valued map R

l F(ˆx, ˆy, ˆu, ˆv) : X → Y defined by

graphRl F(ˆx, ˆy, ˆu, ˆv) = R

l



epiF, (ˆx, ˆy), (ˆu, ˆv)

If R

l (epi F, ( ˆx, ˆy), (ˆu, ˆv)) = ∅, then F is called second-order lower radial derivable at (ˆx, ˆy)

in the direction (ˆu, ˆv) or that the second-order lower radial tangent derivative of F at (ˆx, ˆy)

in the direction (ˆu, ˆv) exists.

Proposition . Suppose that E ⊂ X and the second-order lower radial composed tangent

derivative of F : X→ Y at(ˆx, ˆy) ∈ graph F in the direction (ˆu, ˆv) exists Then

R l F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

F (E) + C – ˆy–ˆv

Proof Let v ∈ R

l F(ˆx, ˆy, ˆu, ˆv)(R(R(E, ˆx), ˆu)) Then there exists u ∈ R(R(E, ˆx), ˆu) such that

v ∈ R

l F(ˆx, ˆy, ˆu, ˆv)(u)

Thus,

(u, v) ∈ graph R

l F(ˆx, ˆy, ˆu, ˆv) = Rl



R l



epiF, (ˆx, ˆy), (ˆu, ˆv) (.)

From u ∈ R(R(E, ˆx), ˆu) it follows that there exist sequences t n >  and u n → u such that

ˆu + t n u n ∈ R(E, ˆx).

Therefore, there exist sequences t k

n >  and u k

n → ˆu + t n u nsuch that

ˆx + t k

n u k

n ∈ E.

For such t n and u n , it follows from (.) that there exists a sequence v n → v such that

(ˆu + t n u n,ˆv + t n v n)∈ R l



epiF, (ˆx, ˆy)

Then, for the same t k

n and u k

n , there exists a sequence v k

n → ˆv + t n v nsuch that



ˆx + t k u k,ˆy + t k v k

∈ epi F,

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and, consequently,

ˆy + t k

n v k n ∈ Fˆx + t k

n u k n

+ C.

Thus,

v k n∈ 

t k n



F

ˆx + t k

n u k n

+ C – ˆy,

and, consequently,

v k n∈ coneF (E) + C – ˆy

Since v k

n → ˆv + t n v n as k→ ∞, we obtain

ˆv + t n v n∈ clconeF (E) + C – ˆy Thus,

v n∈ 

t n



F (E) + C – ˆy–ˆv,

and, consequently,

v n∈ coneclcone

F (E) + C – ˆy–ˆv

Taking n→ ∞, we get

v∈ clconeclcone

F (E) + C – ˆy–ˆv So,

R l F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

Proposition . Suppose that E ⊂ X and the second-order lower radial tangent derivative

of F : X→ Y at(ˆx, ˆy) ∈ graph F in the direction (ˆu, ˆv) exists Then

Rl F(ˆx, ˆy, ˆu, ˆv)R(E, ˆx, ˆu)⊂ clconecone

F (E) + C – ˆy–ˆv

Proof Let v ∈ R

l F(ˆx, ˆy, ˆu, ˆv)(R(E, ˆx, ˆu)) Then there exists u ∈ R(E, ˆx, ˆu) such that

v ∈ R

l F(ˆx, ˆy, ˆu, ˆv)(u)

Thus,

(u, v) ∈ graph RF(ˆx, ˆy, ˆu, ˆv) = R

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From u ∈ R(E, ˆx, ˆu) it follows that there exist sequences t n >  and u n → u such that

ˆx + t n ˆu +

t

n u n ∈ E.

For such t n and u n , it follows from (.) that there exists a sequence v n → v such that



ˆx + t n ˆu +

t

n u n,ˆy + t n ˆv +

t

n v n

∈ epi F.

Then

ˆy + t n ˆv +

t

n v n ∈ F



ˆx + t n ˆu +

t

n u n

+ C,

and, consequently,

ˆv +

t n v n∈ 

t n



F



ˆx + t n ˆu +

t

n u n

+ C – ˆy

Thus,

ˆv +

t n v n∈ coneF (E) + C – ˆy Hence,

v n∈ 

t n



F (E) + C – ˆy–ˆv Therefore,

v n∈ conecone

F (E) + C – ˆy–ˆv

Taking n→ ∞, we get

v∈ clconecone

F (E) + C – ˆy–ˆv So,

Rl F(ˆx, ˆy, ˆu, ˆv)R(E, ˆx, ˆu)⊂ clconecone

Remark . If we substitute D F(ˆx, ˆy, ˆu, ˆv) or R F(ˆx, ˆy, ˆu, ˆv) for R

l F(ˆx, ˆy, ˆu, ˆv) in Proposi-tion ., then none of the inclusions

D F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

F (E) + C – ˆy–ˆv

and

R F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

F (E) + C – ˆy–ˆv

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is necessarily true If we substitute DF(ˆx, ˆy, ˆu, ˆv) or RF(ˆx, ˆy, ˆu, ˆv) for R

l F(ˆx, ˆy, ˆu, ˆv) in Proposition ., then none of the inclusions

DF(ˆx, ˆy, ˆu, ˆv)R(E, ˆx, ˆu)⊂ clconecone

F (E) + C – ˆy–ˆv

and

RF(ˆx, ˆy, ˆu, ˆv)R(E, ˆx, ˆu)⊂ clconecone

F (E) + C – ˆy–ˆv

is necessarily true, as is shown in the following example

Example . Let R be the set of real numbers, X = Y = R, C = {t : t ≥ }, and E = {x : x ≥

} Define the set-valued map F : X → Y by

F (x) =

{y : y ≥ } if x≥ ,

{y : y ≥√

x} otherwise

(i) Let (ˆx, ˆy) = (, ), (ˆu, ˆv) = (, –) A direct calculation gives

R (E, ) = R

R (E, ), 

= [, +∞),

T

epiF, (, )

= R

epiF, (, )

=

(x, y) : x > , y≥ ∪(x, y) : x ≤ , y ∈ R,

T

T

epiF, (, )

, (, –)

=

(x, y) : x ≤ , y ∈ R,

R

R

epiF, (, )

, (, –)

=

(x, y) : x ≤ , y ∈ R∪(x, y) : x > , y≥ ,

D F (, , , –)(x) =

R, x≤ ,

∅, x > ,

R F (, , , –)(x) =

R, x≤ ,

{y : y ≥ }, x > ,

R l



epiF, (, )

=

(x, y) : x ∈ R, y ≥ ,

R l

R l

epiF, (, )

, (, –)

=∅,

R l F (, , , –)(x) = ∅, x ∈ R.

Consequently,

D F(, , , –)

R

R (E, ), 

= R F(, , , –)

R

R (E, ), 

= R,

R l F(, , , –)

R

R (E, ), 

=∅,

F (E) + C – ˆy–ˆv= [, +∞)

Then, the inclusion of Proposition . is true However,

D F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

F (E) + C – ˆy–ˆv

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R F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

F (E) + C – ˆy–ˆv (ii) Let (ˆx, ˆy) = (, ), (ˆu, ˆv) = (, ) A direct calculation gives

R

R (E, ), 

= R(E, , ) = R(E, ) = [, +∞),

T

T

epiF, (, )

, (, )

= R

R

epiF, (, )

, (, )

= T

epiF, (, ), (, )

= R

epiF, (, ), (, )

= T

epiF, (, )

= R

epiF, (, )

=

(x, y) : x > , y≥ ∪(x, y) : x ≤ , y ∈ R,

D F (, , , )(x) = R F (, , , )(x) =

R, x≤ ,

{y : y ≥ }, x > ,

DF (, , , )(x) = RF (, , , )(x) =

R, x≤ ,

{y : y ≥ }, x > ,

R l

R l

epiF, (, )

, (, )

= Rl

epiF, (, ), (, )

= R l



epiF, (, )

=

(x, y) : x ∈ R, y ≥ ,

R l F (, , , )(x) = Rl F (, , , )(x) = [, +∞), x ∈ R.

Consequently,

D F(, , , )

R

R (E, ), 

= R F(, , , )

R

R (E, ), 

= DF(, , , )

R(E, , )

= RF(, , , )

R(E, , )

= R,

R l F(, , , )

R

R (E, ), 

= Rl F(, , , )

R(E, , )

= [, +∞),

F (E) + C – ˆy–ˆv= clcone

F (E) + C – ˆy–ˆv= [, +∞)

Then, the inclusions of Propositions . and . are true However,

D F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

F (E) + C – ˆy–ˆv,

R F(ˆx, ˆy, ˆu, ˆv)R

R (E, ˆx), ˆu⊂ clconeclcone

F (E) + C – ˆy–ˆv,

DF(ˆx, ˆy, ˆu, ˆv)R(E, ˆx, ˆu)⊂ clconecone

F (E) + C – ˆy–ˆv, and

RF(ˆx, ˆy, ˆu, ˆv)R(E, ˆx, ˆu)⊂ clconecone

F (E) + C – ˆy–ˆv

4 Second-order necessary optimality conditions

Let F : X→ Y , G : X→ Z , and (F, G) : X→ Y ×Z be defined by (F, G)(x) = F(x) × G(x).

Trang 10

Consider the following optimization problem with set-valued maps:

(VP) minF (x),

s.t G(x) ∩ (–D) = ∅, x ∈ X.

The feasible set of (VP) is denoted by ˆE, that is, ˆE = {x ∈ X : G(x) ∩ (–D) = ∅}.

Definition .(See [, , ]) Letˆx ∈ ˆE, ˆy ∈ F(ˆx) A pair (ˆx, ˆy) is called a Henig efficient element of (VP) if there exists ε ∈ (, δ) such that



F ( ˆE) – ˆy∩– intcone(εU + B)

=∅,

where δ := inf{b : b ∈ B}, F( ˆE) = x ∈ ˆE F (x), and U is the closed unit ball of Y

Definition .(See []) The interior tangent cone IT(S, ¯y) of S at ¯y is the set of all y ∈ Y such that for any t n→ +and y n → y, we have ¯y + t n y n ∈ S.

Remark .(See []) If S ⊂ Y is convex, ¯y ∈ S, and int S = ∅, then

IT(S, ¯y) = IT(int S, ¯y) = intcone(S – ¯y).

Theorem . Suppose that(ˆx, ˆy) is a Henig efficient element of (VP), ˆz ∈ G(ˆx) ∩ (–D), (ˆu, ˆv, ˆw) ∈ X × (–C) × (–D), F is second-order lower radial composed derivable at (ˆx, ˆy)

in the direction(ˆu, ˆv), and G is second-order radial composed derivable at (ˆx, ˆz) in the

di-rection(ˆu, ˆw) Then there exists ˆε ∈ (, δ) such that



R l F(ˆx, ˆy, ˆu, ˆv)(x), R G(ˆx, ˆz, ˆu, ˆw)(x)∩– intcone(ˆεU + B)× (– int D)=∅ (.)

for all x ∈ dom R

l F(ˆx, ˆy, ˆu, ˆv) ∩ dom R G(ˆx, ˆz, ˆu, ˆw).

Proof Since (ˆx, ˆy) is a Henig efficient element of (VP), there exists a number ε∈ (, δ)

such that



F ( ˆE) – ˆy∩– intcone(εU + B)

On the contrary, suppose that (.) does not hold Then there exist ¯x ∈ dom R

l F(ˆx, ˆy,

ˆu, ˆv) ∩ dom R G(ˆx, ˆz, ˆu, ˆw), ¯y ∈ R

l F(ˆx, ˆy, ˆu, ˆv)(¯x), and ¯z ∈ R G(ˆx, ˆz, ˆu, ˆw)(¯x) such that

and

From¯z ∈ R G(ˆx, ˆz, ˆu, ˆw)(¯x) it follows that

(¯x, ¯z) ∈ graph R G(ˆx, ˆz, ˆu, ˆw) = RR

epiG, (ˆx, ˆz), (ˆu, ˆw)

... The second- order lower radial tangent derivative

In this section, by virtue of the radial tangent cone, the second- order radial tangent set, the lower radial tangent cone, and the second- order. .. second- order lower radial tangent set, we introduce the concepts of the second- order radial composed tangent derivative, the second- order radial tangent derivative, the second- order lower radial. .. composed tangent derivative, and the second- order lower radial tangent derivative for a set- valued map Furthermore, we discuss some important properties of the second- order lower radial composed tangent

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Tài liệu tham khảo Loại Chi tiết
1. Gong, XH, Dong, HB, Wang, SY: Optimality conditions for proper efficient solutions of vector set-valued optimization.J. Math. Anal. Appl. 284, 332-350 (2003) Sách, tạp chí
Tiêu đề: Optimality conditions for proper efficient solutions of vector set-valued optimization
Tác giả: Gong XH, Dong HB, Wang SY
Nhà XB: Journal of Mathematical Analysis and Applications
Năm: 2003
2. Kasimbeyli, R: Radial epiderivatives and set-valued optimization. Optimization 58, 521-534 (2009) Sách, tạp chí
Tiêu đề: Radial epiderivatives and set-valued optimization
Tác giả: Kasimbeyli, R
Nhà XB: Optimization
Năm: 2009
3. Jahn, J, Khan, AA, Zeilinger, P: Second-order optimality conditions in set optimization. J. Optim. Theory Appl. 125, 331-347 (2005) Sách, tạp chí
Tiêu đề: Second-order optimality conditions in set optimization
Tác giả: Jahn, J, Khan, AA, Zeilinger, P
Nhà XB: Springer
Năm: 2005
4. Zhu, SK, Li, SJ, Teo, KL: Second-order Karush-Kuhn-Tucker optimality conditions for set-valued optimization. J. Glob.Optim. 58, 673-692 (2014) Sách, tạp chí
Tiêu đề: Second-order Karush-Kuhn-Tucker optimality conditions for set-valued optimization
Tác giả: Zhu, SK, Li, SJ, Teo, KL
Nhà XB: Journal of Global Optimization
Năm: 2014
5. Ning, E, Song, W, Zhang, Y: Second order sufficient optimality conditions in vector optimization. J. Glob. Optim. 54, 537-549 (2012) Sách, tạp chí
Tiêu đề: Second order sufficient optimality conditions in vector optimization
Tác giả: Ning, E, Song, W, Zhang, Y
Nhà XB: Journal of Global Optimization
Năm: 2012
6. Xu, YH, Li, M, Peng, ZH: A note on ‘Higher-order optimality conditions in set-valued optimization using Studniarski derivatives and applications to duality’ [Positivity 18, 449-473(2014)]. Positivity 20, 295-298 (2016) Sách, tạp chí
Tiêu đề: A note on ‘Higher-order optimality conditions in set-valued optimization using Studniarski derivatives and applications to duality’
Tác giả: Xu YH, Li M, Peng ZH
Nhà XB: Positivity
Năm: 2016
7. Khan, AA, Tammer, C: Second-order optimality conditions in set-valued optimization via asymptotic derivatives.Optimization 62, 743-758 (2013) Sách, tạp chí
Tiêu đề: Second-order optimality conditions in set-valued optimization via asymptotic derivatives
Tác giả: Khan, AA, Tammer, C
Nhà XB: Optimization
Năm: 2013
8. Li, SJ, Teo, KL, Yang, XQ: Higher-order optimality conditions for set-valued optimization. J. Optim. Theory Appl. 137, 533-553 (2008) Sách, tạp chí
Tiêu đề: Higher-order optimality conditions for set-valued optimization
Tác giả: Li, SJ, Teo, KL, Yang, XQ
Nhà XB: Journal of Optimization Theory and Applications
Năm: 2008
10. Jiménez, B, Novo, V: Second-order necessary conditions in set constrained differentiable vector optimization. Math.Methods Oper. Res. 58, 299-317 (2003) Sách, tạp chí
Tiêu đề: Second-order necessary conditions in set constrained differentiable vector optimization
Tác giả: Jiménez, B, Novo, V
Nhà XB: Math Methods of Operations Research
Năm: 2003
11. Anh, NLH, Khanh, PQ: Higher-order optimality conditions in set-valued optimization using radial sets and radial derivatives. J. Glob. Optim. 56, 519-536 (2013) Sách, tạp chí
Tiêu đề: Higher-order optimality conditions in set-valued optimization using radial sets and radial derivatives
Tác giả: Anh, NLH, Khanh, PQ
Nhà XB: Journal of Global Optimization
Năm: 2013
13. Li, SJ, Chen, CR: Higher order optimality conditions for Henig efficient solutions in set-valued optimization. J. Math.Anal. Appl. 323, 1184-1200 (2006) Sách, tạp chí
Tiêu đề: Higher order optimality conditions for Henig efficient solutions in set-valued optimization
Tác giả: Li, SJ, Chen, CR
Nhà XB: Journal of Mathematical Analysis and Applications
Năm: 2006
14. Wang, QL, Li, SJ: Generalized higher-order optimality conditions for set-valued optimization under Henig efficiency.Numer. Funct. Anal. Optim. 30, 849-869 (2009) Sách, tạp chí
Tiêu đề: Generalized higher-order optimality conditions for set-valued optimization under Henig efficiency
Tác giả: Wang, QL, Li, SJ
Nhà XB: Numer. Funct. Anal. Optim.
Năm: 2009
15. Khan, AA, Isac, G: Second-order optimality conditions in set-valued optimization by a new tangential derivative. Acta Math. Vietnam. 34, 81-90 (2009) Sách, tạp chí
Tiêu đề: Second-order optimality conditions in set-valued optimization by a new tangential derivative
Tác giả: Khan, AA, Isac, G
Nhà XB: Acta Math. Vietnam.
Năm: 2009
16. Aghezzaf, B, Hachimi, M: Second-order optimality conditions in multiobjective optimization problems. J. Optim.Theory Appl. 102, 37-50 (1999) Sách, tạp chí
Tiêu đề: Second-order optimality conditions in multiobjective optimization problems
Tác giả: Aghezzaf B, Hachimi M
Nhà XB: Journal of Optimization Theory and Applications
Năm: 1999
17. Xu, YH, Peng, ZH: Higher-order sensitivity analysis in set-valued optimization under Henig efficiency. J. Ind. Manag Sách, tạp chí
Tiêu đề: Higher-order sensitivity analysis in set-valued optimization under Henig efficiency
Tác giả: Xu, YH, Peng, ZH
Nhà XB: J. Ind. Manag
19. Henig, MI: Proper efficiency with respect to cones. J. Optim. Theory Appl. 36(3), 387-407 (1982) Sách, tạp chí
Tiêu đề: Proper efficiency with respect to cones
Tác giả: M. I. Henig
Nhà XB: Journal of Optimization Theory and Applications
Năm: 1982
23. Qiu, QS, Yang, XM: Connectedness of Henig weakly efficient solution set for set-valued optimization problems.J. Optim. Theory Appl. 152, 439-449 (2012) Sách, tạp chí
Tiêu đề: Connectedness of Henig weakly efficient solution set for set-valued optimization problems
Tác giả: Qiu, QS, Yang, XM
Nhà XB: Journal of Optimization Theory and Applications
Năm: 2012
9. Li, SJ, Zhu, SK, Teo, KL: New generalized second-order contingent epiderivatives and set-valued optimization problems. J. Optim. Theory Appl. 152, 587-604 (2012) Khác
12. Anh, NLH, Khanh, PQ, Tung, LT: Higher-order radial derivatives and optimality conditions in nonsmooth vector optimization. Nonlinear Anal. 74, 7365-7379 (2011) Khác

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