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Tightly Proper Efficiency in Vector Optimization with Nearly Cone-Subconvexlike Set-Valued Maps
Journal of Inequalities and Applications volume 2011, Article number: 839679 (2011)
Abstract
A scalarization theorem and two Lagrange multiplier theorems are established for tightly proper efficiency in vector optimization involving nearly cone-subconvexlike set-valued maps. A dual is proposed, and some duality results are obtained in terms of tightly properly efficient solutions. A new type of saddle point, which is called tightly proper saddle point of an appropriate set-valued Lagrange map, is introduced and is used to characterize tightly proper efficiency.
1. Introduction
One important problem in vector optimization is to find efficient points of a set. As observed by Kuhn, Tucker and later by Geoffrion, some efficient points exhibit certain abnormal properties. To eliminate such abnormal efficient points, there are many papers to introduce various concepts of proper efficiency; see [1–8]. Particularly, Zaffaroni [9] introduced the concept of tightly proper efficiency and used a special scalar function to characterize the tightly proper efficiency, and obtained some properties of tightly proper efficiency. Zheng [10] extended the concept of superefficiency from normed spaces to locally convex topological vector spaces. Guerraggio et al. [11] and Liu and Song [12] made a survey on a number of definitions of proper efficiency and discussed the relationships among these efficiencies, respectively.
Recently, several authors have turned their interests to vector optimization of set-valued maps, for instance, see [13–18]. Gong [19] discussed set-valued constrained vector optimization problems under the constraint ordering cone with empty interior. Sach [20] discussed the efficiency, weak efficiency and Benson proper efficiency in vector optimization problem involving ic-cone-convexlike set-valued maps. Li [21] extended the concept of Benson proper efficiency to set-valued maps and presented two scalarization theorems and Lagrange mulitplier theorems for set-valued vector optimization problem under cone-subconvexlikeness. Mehra [22], Xia and Qiu [23] discussed the superefficiency in vector optimization problem involving nearly cone-convexlike set-valued maps, nearly cone-subconvexlike set-valued maps, respectively. For other results for proper efficiencies in optimization problems with generalized convexity and generalized constraints, we refer to [24–26] and the references therein.
In this paper, inspired by [10, 21–23], we extend the concept of tight properness from normed linear spaces to locally convex topological vector spaces, and study tightly proper efficiency for vector optimization problem involving nearly cone-subconvexlike set-valued maps and with nonempty interior of constraint cone in the framework of locally convex topological vector spaces.
The paper is organized as follows. Some concepts about tightly proper efficiency, superefficiency and strict efficiency are introduced and a lemma is given in Section 2. In Section 3, the relationships among the concepts of tightly proper efficiency, strict efficiency and superefficiency in local convex topological vector spaces are clarified. In Section 4, the concept of tightly proper efficiency for set-valued vector optimization problem is introduced and a scalarization theorem for tightly proper efficiency in vector optimization problems involving nearly cone-subconvexlike set-valued maps is obtained. In Section 5, we establish two Lagrange multiplier theorems which show that tightly properly efficient solution of the constrained vector optimization problem is equivalent to tightly properly efficient solution of an appropriate unconstrained vector optimization problem. In Section 6, some results on tightly proper duality are given. Finally, a new concept of tightly proper saddle point for set-valued Lagrangian map is introduced and is then utilized to characterize tightly proper efficiency in Section 7. Section 8 contains some remarks and conclusions.
2. Preliminaries
Throughout this paper, let be a linear space,
and
be two real locally convex topological spaces (in brief, LCTS), with topological dual spaces
and
, respectively. For a set
,
,
,
, and
denote the closure, the interior, the boundary, and the complement of
, respectively. Moreover, by
we denote the closed unit ball of
. A set
is said to be a cone if
for any
and
. A cone
is said to be convex if
, and it is said to be pointed if
. The generated cone of
is defined by
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ1_HTML.gif)
The dual cone of is defined as
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ2_HTML.gif)
and the quasi-interior of is the set
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ3_HTML.gif)
Recall that a base of a cone is a convex subset of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ4_HTML.gif)
Of course, is pointed whenever
has a base. Furthermore, if
is a nonempty closed convex pointed cone in
, then
if and only if
has a base.
Also, in this paper, we assume that, unless indicated otherwise, and
are pointed closed convex cones with
and
, respectively.
Definition 2.1 (see [27]).
Let be a base of
. Define
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ5_HTML.gif)
Cheng and Fu in [27] discussed the propositions of , and the following remark also gives some propositions of
.
Remark 2.2 (see [27]).
-
(i)
Let
. Then
if and only if there exists a neighborhood
of
such that
.
-
(ii)
If
is a bounded base of
, then
.
Definition 2.3.
A point is said to be efficient with respect to
(denoted
) if
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ6_HTML.gif)
Remark 2.4 (see [28]).
If is a closed convex pointed cone and
, then
.
In [10], Zheng generalized two kinds of proper efficiency, namely, Henig proper efficiency and superefficiency, from normed linear spaces to LCTS. And Fu [8] generalized a kind of proper efficiency, namely strict efficiency, from normed linear spaces to LCTS. Let be an ordering cone with a base
. Then
, by the Hahn Banach separation theorem, there are a
and an
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ7_HTML.gif)
Let . Then
is a neighborhood of
and
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ8_HTML.gif)
It is clear that, for each convex neighborhood of
with
,
is convex and
. Obviously,
is convex pointed cone, indeed,
is also a base of
.
Definition 2.5 (see [8]).
Suppose that is a subset of
and
denotes the family of all bases of
.
is said to be a strictly efficient point with respect to
, written as
, if there is a convex neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ9_HTML.gif)
is said to be a strictly efficient point with respect to
, written as,
if
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ10_HTML.gif)
Remark 2.6.
Since is open in
, thus
is equivalent to
.
Definition 2.7.
The point is called tightly properly efficient with respect to
(denoted
) if there exists a convex cone
with
satisfying
and there exists a neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ11_HTML.gif)
is said to be a tightly properly efficient point with respect to
, written as,
if
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ12_HTML.gif)
Now, we give the following example to illustrate Definition 2.7.
Example 2.8.
Let ,
. Given
(see Figure 1). Thus, it follows from the direct computation and Definition 2.7 that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ13_HTML.gif)
Remark 2.9.
By Definitions 2.7 and 2.3, it is easy to verify that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ14_HTML.gif)
but, in general, the converse is not valid. The following example illustrates this case.
Example 2.10.
,
, and
. Then, by Definitions 2.3 and 2.7, we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ15_HTML.gif)
thus, .
Definition 2.11 (see [10]).
is called a superefficient point of a subset
of
with respect to ordering cone
, written as
, if, for each neighborhood
of
, there is neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ16_HTML.gif)
Definition 2.12 (see [29, 30]).
A set-valued map is said to be nearly
-subconvexlike on
if
is convex.
Given the two set-valued maps ,
, let
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ17_HTML.gif)
The product is called nearly
-subconvexlike on
if
is nearly
-subconvexlike on
. Let
be the space of continuous linear operators from
to
, and let
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ18_HTML.gif)
Denote by the set-valued map from
to
defined by
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ19_HTML.gif)
If ,
, we also define
and
by
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ20_HTML.gif)
respectively.
Lemma 2.13 (see [23]).
If is nearly
-subconvexlike on
, then:
(i)for each ,
is nearly
-subconvexlike on
;
(ii)for each ,
is nearly
-subconvexlike on
.
3. Tightly Proper Efficiency, Strict Efficiency, and Superefficiency
In [11, 12], the authors introduced many concepts of proper efficiency (tightly proper efficiency except) for normed spaces and for topological vector spaces, respectively. Furthermore, they discussed the relationships between superefficiency and other proper efficiencies. If we can get the relationship between tightly proper efficiency and superefficiency, then we can get the relationships between tightly proper efficiency and other proper efficiencies. So, in this section, the aim is to get the equivalent relationships between tightly proper efficiency and superefficiency under suitable assumption by virtue of strict efficiency.
Lemma 3.1.
If has a bounded base
, then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ21_HTML.gif)
Proof.
From the definition of and
, we only need prove that
for any
. Indeed, for each
, by the separation theorem, there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ22_HTML.gif)
Hence, . Since
is bounded, there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ23_HTML.gif)
It is clear that and
. If there exists
such that
, then for any convex cone
with
satisfying
and for any neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ24_HTML.gif)
It implies that there exists such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ25_HTML.gif)
Then there is and
such that
, since
, then there exists
and
such that
. By (3.2) and (3.3), we see that
. Therefore,
and
, it is a contradiction. Therefore,
for each
.
Proposition 3.2.
If has a bounded base
, then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ26_HTML.gif)
Proof.
By Definition 2.11, for any , there exists a convex neighborhood
of
with
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ27_HTML.gif)
It is easy to verify that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ28_HTML.gif)
Now, let and by Lemma 3.1, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ29_HTML.gif)
which implies that .
Proposition 3.3.
Let . Then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ30_HTML.gif)
Proof.
For each , there exists a convex cone
with
satisfying
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ31_HTML.gif)
and there exists a neighborhood of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ32_HTML.gif)
Since expression (3.11) can be equivalently expressed as
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ33_HTML.gif)
, and by (3.12), we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ34_HTML.gif)
Since is open in
, we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ35_HTML.gif)
It implies that . Therefore this proof is completed.
Remark 3.4.
If does not have a bounded base, then the converse of Proposition 3.3 may not hold. The following example illustrates this case.
Example 3.5.
Let ,
(see Figure 2) and
.
Then, let , we have
. It follows from the definitions of
and
that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ36_HTML.gif)
respectively. Thus, the converse of Proposition 3.3 is not valid.
Proposition 3.6 (see [8]).
If has a bounded base
, then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ37_HTML.gif)
From Propositions 3.2, 3.3, and 3.6, we can get immediately the following corollary.
Corollary 3.7.
If has a bounded base
, then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ38_HTML.gif)
Example 3.8.
Let ,
be given in Example 3.5 and
. Then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ39_HTML.gif)
Lemma 3.9 (see [23]).
Let be a closed convex pointed cone with a bounded base
and
. Then,
.
From Corollary 3.7 and Lemma 3.9, we can get the following proposition.
Proposition 3.10.
If has a bounded base
and
is a nonempty subset of
, then
.
4. Tightly Proper Efficiency and Scalarization
Let be a closed convex pointed cone. We consider the following vector optimization problem with set-valued maps
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ40_HTML.gif)
where ,
are set-valued maps with nonempty values. Let
be the set of all feasible solutions of (VP).
Definition 4.1.
is said to be a tightly properly efficient solution of (VP), if there exists
such that
.
We call is a tightly properly efficient minimizer of (VP). The set of all tightly properly efficient solutions of (VP) is denoted by TPE(VP).
In association with the vector optimization problem (VP) of set-valued maps, we consider the following scalar optimization problem with set-valued map :
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ41_HTML.gif)
where . The set of all optimal solutions of ( ) is denoted by
, that is,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ42_HTML.gif)
The fundamental results characterize tightly properly efficient solution of (VP) in terms of the solutions of ( ) are given below.
Theorem 4.2.
Let the cone have a bounded base
. Let
,
, and
be nearly
-subconvexlike on
. Then
if and only if there exists
such that
.
Proof.
Necessity. Let . Then, by Lemma 3.1 and Proposition 3.10, we have
. Hence, there exists a convex cone
with
satisfying
and there exists a convex neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ43_HTML.gif)
From the above expression and , we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ44_HTML.gif)
Since is open in
, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ45_HTML.gif)
By the assumption that is nearly
-subconvexlike on
, thus
is convex set. By the Hahn-Banach separation theorem, there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ46_HTML.gif)
It is easy to see that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ47_HTML.gif)
Hence, we obtain
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ48_HTML.gif)
Furthermore, according to Remark 2.2, we have .
Sufficiency. Suppose that there exists such that
. Since
has a bounded base
, thus by Remark 2.2(ii), we know that
. And by Remark 2.2(i), we can take a convex neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ49_HTML.gif)
By , we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ50_HTML.gif)
From the above expression and (4.8), we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ51_HTML.gif)
Therefore, . Noting that
has a bounded base
and by Lemma 3.1, we have
.
Now, we give the following example to illustrate Theorem 4.2.
Example 4.3.
Let ,
and
. Given
,
. Let
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ52_HTML.gif)
Thus, feasible set of (VP)
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ53_HTML.gif)
By Definition 4.1, we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ54_HTML.gif)
For any point , there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ55_HTML.gif)
Indeed, for any , we consider the following three cases.
Case 1.
If is in the first quadrant, then for any
such that
.
Case 2.
If is in the second quadrant, then there exists
such that
. Let
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ56_HTML.gif)
Then, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ57_HTML.gif)
Case 3.
If in the fourth quadrant, then there exists
such that
. Let
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ58_HTML.gif)
Then, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ59_HTML.gif)
Therefore, if follows from Cases 1, 2, and 3 that there exists such that
.
From Theorem 4.2, we can get immediately the following corollary.
Corollary 4.4.
Let the cone have a bounded base
. For any
if
is nearly
-subconvexlike on
. Then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ60_HTML.gif)
5. Tightly Proper Efficiency and the Lagrange Multipliers
In this section, we establish two Lagrange multiplier theorems which show that tightly properly efficient solution of the constrained vector optimization problem (VP), is equivalent to tightly properly efficient solution of an appropriate unconstrained vector optimization problem.
Definition 5.1 (see [17]).
Let be a closed convex pointed cone with
. We say that (VP) satisfies the generalized Slater constraint qualification, if there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ61_HTML.gif)
Theorem 5.2.
Let have a bounded base
and
. Let
,
and
is nearly
-subconvexlike on
. Furthermore, let (VP) satisfies the generalized Slater constraint qualification. If
and
, then there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ62_HTML.gif)
Proof.
Since has bounded base
, by Lemma 2.13, we have
. Thus, there is a convex cone
with
satisfying
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ63_HTML.gif)
and there exists an absolutely convex open neighborhood of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ64_HTML.gif)
Since (5.3) is equivalent to , and from (5.4) we see that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ65_HTML.gif)
Moreover, for any , we have
. Therefore,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ66_HTML.gif)
Since is open in
, thus, we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ67_HTML.gif)
By the assumption that is nearly
-subconvexlike on
, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ68_HTML.gif)
is convex. Hence, it follows from the Hahn-Banach separation theorem that there exists such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ69_HTML.gif)
Thus, we obtain
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ70_HTML.gif)
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ71_HTML.gif)
Since is a cone, we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ72_HTML.gif)
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ73_HTML.gif)
Since ,
. Choose
. By (5.13), we know that
, thus
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ74_HTML.gif)
Letting and noting that
,
in (5.10), we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ75_HTML.gif)
Thus, , which implies
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ76_HTML.gif)
Now, we claim that . If this is not the case, then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ77_HTML.gif)
By the generalized Slater constraint qualification, then there exists such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ78_HTML.gif)
and so there exists such that
. Hence,
. But substituting
into (5.10), and by taking
, and
in (5.10), we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ79_HTML.gif)
This contradiction shows that . Therefore
. From (5.12) and Remark 2.2, we have
. And since
is a bounded base of
, so
. Hence, we can choose
such that
and define the operator
by
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ80_HTML.gif)
Clearly, and by (5.16), we see that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ81_HTML.gif)
Therefore,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ82_HTML.gif)
From (5.10) and (5.20), we obtain
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ83_HTML.gif)
Since is nearly
-subconvexlike on
, by Lemma 2.13, we have
is nearly
-subconvexlike on
. From (5.22), Theorem 4.2 and the above expression, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ84_HTML.gif)
Therefore, the proof is completed.
Theorem 5.3.
Let be a closed convex pointed cone with a bounded base
,
and
. If there exists
such that
and
, then
and
.
Proof.
Since has a bounded base, and
, we have
. Thus, there exists a convex cone
with
satisfying
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ85_HTML.gif)
and there exits a convex neighborhood of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ86_HTML.gif)
By , we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ87_HTML.gif)
Thus,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ88_HTML.gif)
Therefore, by the definition of and
, we get
and
, respectively.
6. Tightly Proper Efficiency and Duality
Definition 6.1.
The set-valued Lagrangian map for problem (VP) is defined by
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ89_HTML.gif)
Definition 6.2.
The set-valued map , defined by
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ90_HTML.gif)
is called a tightly properly dual map for (VP). We now associate the following Lagrange dual problem with (VP):
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ91_HTML.gif)
Definition 6.3.
A point is said to be an efficient point of (VD) if
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ92_HTML.gif)
We now can establish the following dual theorems.
Theorem 6.4 (weak duality).
If and
. Then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ93_HTML.gif)
Proof.
One has
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ94_HTML.gif)
Then, there exists such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ95_HTML.gif)
Hence,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ96_HTML.gif)
Particularly,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ97_HTML.gif)
Noting that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ98_HTML.gif)
and taking in (6.8), we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ99_HTML.gif)
Hence, from and
, we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ100_HTML.gif)
This completes the proof.
Theorem 6.5 (strong duality).
Let be a closed convex pointed cone with a bounded base
in
and
be a closed convex pointed cone with
in
. Let
,
,
be nearly
-subconvexlike on
. Furthermore, let (VP) satisfy the generalized Slater constraint qualification. Then,
and
if and only if
is an efficient point of (VD).
Proof.
Let and
, then according to Theorem 5.2, there exists
such that
and
. Hence
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ101_HTML.gif)
By Theorem 6.4, we know that is an efficient point of (VD).
Conversely, Since is an efficient point of (VD), then
. Hence, there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ102_HTML.gif)
Since has a bounded base
, by Lemma 3.1 and Proposition 3.10, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ103_HTML.gif)
Hence, there exists a convex cone with
satisfying
and there exists an absolutely open convex neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ104_HTML.gif)
Hence, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ105_HTML.gif)
Since, is open subset of
, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ106_HTML.gif)
Since is nearly
-subconvexlike on
, by Lemma 2.13, we have
is nearly
-subconvexlike on
, which implies that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ107_HTML.gif)
is convex. From (6.17) and by the Hahn-Banach separation theorem, there exists such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ108_HTML.gif)
From this, we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ109_HTML.gif)
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ110_HTML.gif)
From (6.21), we know that . And by
is bounded base of
, it implies that
. For any
, there exists
. Since
, we have
and hence
. From this and (6.20), we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ111_HTML.gif)
that is . By Theorem 4.2, we have
and
.
7. Tightly Proper Efficiency and Tightly Proper Saddle Point
We now introduce a new concept of tightly proper saddle point for a set-valued Lagrange map and use it to characterize tightly proper efficiency.
Definition 7.1.
Let ,
is a closed convex pointed cone of
and
.
if there exists a convex cone
with
satisfying
and there is a convex neighborhood
of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ112_HTML.gif)
is said to be a tightly properly efficient point with respect to
, written as,
if
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ113_HTML.gif)
It is easy to find that if and only if
, and if
is bounded, then we also have
.
Definition 7.2.
A pair is said to be a tightly proper saddle point of Lagrangian map
if
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ114_HTML.gif)
We first present an important equivalent characterization for a tightly proper saddle point of the Lagrange map .
Lemma 7.3.
is said to be a tight proper saddle point of Lagrange map
if only if there exist
and
such that
(i),
(ii).
Proof.
Necessity. Since is a tightly proper saddle point of
, by Definition 7.2 there exist
and
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ115_HTML.gif)
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ116_HTML.gif)
From (7.5) and the definition of , then there exists a convex cone
with
satisfying
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ117_HTML.gif)
and there is a convex neighborhood of
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ118_HTML.gif)
Since, for every ,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ119_HTML.gif)
We have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ120_HTML.gif)
Thus, from (7.6), we have
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ121_HTML.gif)
Let be defined by
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ122_HTML.gif)
Then, (7.10) can be written as
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ123_HTML.gif)
By (7.7) and the above expression show that is a tightly properly efficient point of the vector optimization problem
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ124_HTML.gif)
Since is a linear map, of course,
is nearly
-subconvexlike on
. Hence, by Theorem 4.2, there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ125_HTML.gif)
Now, we claim that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ126_HTML.gif)
If this is not true, then since is a closed convex cone set, by the strong separation theorem in topological vector space, there exists
such that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ127_HTML.gif)
In the above expression, taking gets
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ128_HTML.gif)
while letting leads to
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ129_HTML.gif)
Hence,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ130_HTML.gif)
Let be fixed, and define
as
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ131_HTML.gif)
It is evident that and that
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ132_HTML.gif)
Hence, . And taking
in (7.20), we obtain
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ133_HTML.gif)
Hence,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ134_HTML.gif)
which contradicts (7.14). Therefore,
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ135_HTML.gif)
Thus, , and since
. If
, then
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ136_HTML.gif)
hence , by
. But, taking
in (7.14) leads to
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ137_HTML.gif)
This contradiction shows that , that is, condition (ii) holds.
Therefore, by (7.4) and (7.5), we know
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ138_HTML.gif)
that is condition (i) holds.
Sufficiency. From ,
, and condition (ii), we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ139_HTML.gif)
And by condition (i), we obtain
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ140_HTML.gif)
Therefore, is a tightly proper saddle point of
, and the proof is completed.
The following saddle-point theorem allows us to express a tightly properly efficient solution of (VP) as a tightly proper saddle of the set-valued Lagrange map .
Theorem 7.4.
Let be nearly
-convexlike on
. If for any point
such that
is nearly
-convexlike on
, and (VP) satisfy generalized Slater constraint qualification.
(i)If is a tightly proper saddle point of
, then
is a tightly properly efficient solution of (VP).
(ii)If be a tightly properly efficient minimizer of (VP),
. Then there exists
such that
is a tightly proper saddle point of Lagrange map
.
Proof.
-
(i)
By the necessity of Lemma 7.3, we have
(7.30)
and there exists such that
is a tightly properly efficient minimizer of the problem
![](http://media.springernature.com/full/springer-static/image/art%3A10.1155%2F2011%2F839679/MediaObjects/13660_2010_Article_2362_Equ142_HTML.gif)
According to Theorem 5.3, is a tightly properly efficient minimizer of (VP). Therefore,
is a tightly properly efficient solution of (VP).
-
(ii)
From the assumption, and by Theorem 5.2, there exists
such that
(7.31)
Therefore there exists such that
. Hence, from Lemma 7.3, it follows that
is a tightly proper saddle point of Lagrange map
.
8. Conclusions
In this paper, we have extended the concept of tightly proper efficiency from normed linear spaces to locally convex topological vector spaces and got the equivalent relations among tightly proper efficiency, strict efficiency and superefficiency. We have also obtained a scalarization theorem and two Lagrange multiplier theorems for tightly proper efficiency in vector optimization involving nearly cone-subconvexlike set-valued maps. Then, we have introduced a Lagrange dual problem and got some duality results in terms of tightly properly efficient solutions. To characterize tightly proper efficiency, we have also introduced a new type of saddle point, which is called the tightly proper saddle point of an appropriate set-valued Lagrange map, and obtained its necessary and sufficient optimality conditions. Simultaneously, we have also given some examples to illustrate these concepts and results. On the other hand, by using the results of the Section 3 in this paper, we know that the above results hold for superefficiency and strict efficiency in vector optimization involving nearly cone-convexlike set-valued maps and, by virtue of [12, Theorem 3.11], all the above results also hold for positive proper efficiency, Hurwicz proper efficiency, global Henig proper efficiency and global Borwein proper efficiency in vector optimization with set-valued maps under the conditions that the set-valued and
is closed convex and the ordering cone
has a weakly compact base.
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Acknowledgments
The authors would like to thank the anonymous referees for their valuable comments and suggestions, which helped to improve the paper. This research was partially supported by the National Natural Science Foundation of China (Grant no. 10871216) and the Fundamental Research Funds for the Central Universities (project no. CDJXS11102212).
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Xu, Y., Li, S. Tightly Proper Efficiency in Vector Optimization with Nearly Cone-Subconvexlike Set-Valued Maps. J Inequal Appl 2011, 839679 (2011). https://doi.org/10.1155/2011/839679
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DOI: https://doi.org/10.1155/2011/839679