Volume 2012, Issue 1 691401
Research Article
Open Access

Continuity of the Solution Maps for Generalized Parametric Set-Valued Ky Fan Inequality Problems

Z. Y. Peng

Corresponding Author

Z. Y. Peng

College of Science, Chongqing Jiaotong University, Chongqing 400074, China cqjtu.edu.cn

Department of Mathematics, Inner Mongolia University, Hohhot 010021, China imu.edu.cn

Search for more papers by this author
X. B. Li

X. B. Li

College of Science, Chongqing Jiaotong University, Chongqing 400074, China cqjtu.edu.cn

College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China cqu.edu.cn

Search for more papers by this author
First published: 31 May 2012
Academic Editor: Ya Ping Fang

Abstract

Under new assumptions, we provide suffcient conditions for the (upper and lower) semicontinuity and continuity of the solution mappings to a class of generalized parametric set-valued Ky Fan inequality problems in linear metric space. These results extend and improve some known results in the literature (e.g., Gong, 2008; Gong and Yoa, 2008; Chen and Gong, 2010; Li and Fang, 2010). Some examples are given to illustrate our results.

1. Introduction

The Ky Fan inequality is a very general mathematical format, which embraces the formats of several disciplines, as those for equilibrium problems of mathematical physics, those from game theory, those from (vector) optimization and (vector) variational inequalities, and so on (see [1, 2]). Since Ky Fan inequality was introduced in [1, 2], it has been extended and generalized to vector or set-valued mappings. The Ky Fan Inequality for a set-/vector-valued mapping is known as the (weak) generalized Ky Fan inequality ((W)GKFI, in short). In the literature, existing results for various types of (generalized) Ky Fan inequalities have been investigated intensively, see [35] and the references therein.

It is well known that the stability analysis of solution maps for parametric Ky Fan inequality (PKFI, in short) is an important topic in optimization theory and applications. There are some papers to discuss the upper and/or lower semicontinuity of solution maps. Cheng and Zhu [6] discussed the upper semicontinuity and the lower semicontinuity of the solution map for a PKFI in finite-dimensional spaces. Anh and Khanh [7, 8] studied the stability of solution sets for two classes of parametric quasi-KFIs. Huang et al. [9] discussed the upper semicontinuity and lower semicontinuity of the solution map for a parametric implicit KFI. By virtue of a density result and scalarization technique, Gong [10] first discussed the lower semicontinuity of the set of efficient solutions for a parametric KFI with vector-valued maps. By using the ideas of Cheng and Zhu [6], Gong and Yao [11] studied the continuity of the solution map for a class of weak parametric KFI in topological vector spaces. Then, Kimura and Yao [12] discussed the semicontinuity of solution maps for parametric quasi-KFIs. Based on the work of [6, 10], the continuity of solution sets for PKFIs was discussed in [13] without the uniform compactness assumption. Recently, Li and Fang [14] obtained a new sufficient condition for the lower semicontinuity of the solution maps to a generalized PKFI with vector-valued mappings, where their key assumption is different from the ones in [11, 13].

Motivated by the work reported in [10, 11, 14, 15], this paper aims at studying the stability of the solution maps for a class of generalized PKFI with set-valued mappings. We obtain some new sufficient conditions for the semicontinuity of the solution sets to the generalized PKFI. Our results are new and different from the corresponding ones in [6, 10, 11, 1317].

The rest of the paper is organized as follows. In Section 2, we introduce a class of generalized set-valued PKFI and recall some concepts and their properties which are needed in the sequel. In Section 3, we discuss the upper semicontinuity and lower semicontinuity of the solution mappings for the class of generalized PKFI and compare our main results with the corresponding ones in the recent literature ([10, 11, 1315]). We also give two examples to illustrate that our main results are applicable.

2. Preliminaries

Throughout this paper, if not, otherwise, specified, d(·, ·) denotes the metric in any metric space. Let B(0, δ) denote the closed ball with radius δ ≥ 0 and center 0 in any metric linear spaces. Let X and Y be two real linear metric spaces. Let Z be a linear metric space and let Λ be a nonempty subset of Z. Let Y* be the topological dual space of Y, and let C be a closed, convex, and pointed cone in Y with int C, where int C denotes the interior of C. Let
(2.1)
be the dual cone of C.
Let A be a nonempty subset of X, and let F : A × AY∖{} be a set-valued mapping. We consider the following generalized KFI which consist in finding xA(λ) such that
(KFI)
When the set A and the function F are perturbed by a parameter λ which varies over a set Λ of Z, we consider the following weak generalized PKFI which consist in finding xA(λ) such that
(PKFI)
where A : Λ⇉X∖{} is a set-valued mapping and F : B × B × Λ ⊂ X × X × ZY∖{} is a set-valued mapping with A(Λ) = ⋃λ∈ΛA(λ) ⊂ B.
For each λ ∈ Λ, the solution set of (PKFI) is defined by
(2.2)
For each fC*∖{0} and for each λ ∈ Λ, the f-solution set of (PKFI) is defined by
(2.3)

Special Case

  • (i)

    If for any λ ∈ Λ, x, yA(λ), F(x, y, λ)∶ = φ(x, y, λ) + ψ(y, λ) − ψ(x, λ), where φ : A(μ) × A(μ) × Λ → 2Y is a set-valued mapping and ψ : A(μ) × Λ → Y is a single-valued mapping, the (PKFI) reduces to the weak parametric vector equilibrium problem ((W)PVEP) considered in [15].

  • (ii)

    When F is a vector-valued mapping, that is, F : B × B × Λ ⊂ X × X × ZY, the (PKFI) reduces to the parametric Ky Fan inequality in [14].

  • (iii)

    If for any λ ∈ Λ, x, yA(λ), F(x, y, λ)∶ = φ(x, y, λ) + ψ(y, λ) − ψ(x, λ), where φ : A(μ) × A(μ) × Λ → Y and ψ : A(μ) × Λ → Y are two vector-valued maps, the (PKFI) reduces to the parametric (weak) vector equilibrium problem (PVEP) considered in [10, 11, 13, 16].

Throughout this paper, we always assume V(F, λ) ≠ for all λ ∈ Λ. This paper aims at investigating the semicontinuity and continuity of the solution mapping V(F, λ) as set-valued map from the set Λ into X. Now, we recall some basic definitions and their properties which are needed in this paper.

Definition 2.1. Let F : X × X × ZY∖{} be a trifunction.

  • (i)

    F(x, ·, λ) is called C-convex function on A(λ), if and only if for every x1, x2A(λ) and t ∈ [0,1], tF(x, x1, λ) + (1 − t)F(x, x2, λ) ⊂ F(x, tx1 + (1 − t)x2, λ) + C.

  • (ii)

    F(x, ·, λ) is called C-like-convex function on A(λ), if and only if for any x1, x2A(λ) and any t ∈ [0,1], there exists x3A(λ) such that tF(x, x1, λ)+(1 − t)F(x, x2, λ) ⊂ F(x, x3, λ) + C.

  • (iii)

    F(·, ·, ·) is called C-monotone on A(Λ) × A(Λ) × Λ, if and only if for any λ ∈ Λ and x, yA(λ), F(x, y, λ) + F(y, x, λ)⊂−C. The mapping F is called C-strictly monotone (or called C-strongly monotone in [10]) on A(Λ) × A(Λ) × Λ if F is C-monotone and if for any given λ ∈ Λ, for all x, yA(λ) and xy, s.t. F(x, y, λ) + F(y, x, λ) ⊂ −int C.

Definition 2.2 (see [18].)Let X and Y be topological spaces, T : XY∖{} be a set-valued mapping.

  • (i)

    T is said to be upper semicontinuous (u.s.c., for short) at x0X if and only if for any open set V containing T(x0), there exists an open set U containing x0 such that T(x)⊆V for all xU.

  • (ii)

    T is said to be lower semicontinuous (l.s.c., for short) at x0X if and only if for any open set V with T(x0)∩V, there exists an open set U containing x0 such that T(x)∩V for all xU.

  • (iii)

    T is said to be continuous at x0X, if it is both l.s.c. and u.s.c. at x0X. T is said to be l.s.c. (resp. u.s.c.) on X, if and only if it is l.s.c. (resp., u.s.c.) at each xX.

From [19, 20], we have the following properties for Definition 2.2.

Proposition 2.3. Let X and Y be topological spaces, let T : XY∖{} be a set-valued mapping.

  • (i)

    T is l.s.c. at x0X if and only if for any net {xα} ⊂ X with xαx0 and any y0T(x0), there exists yαT(xα) such that yαy0.

  • (ii)

    If T has compact values (i.e., T(x) is a compact set for each xX), then T is u.s.c. at x0 if and only if for any net {xα} ⊂ X with xαx0 and for any yαT(xα), there exist y0T(x0) and a subnet {yβ} of {yα}, such that yβy0.

3. Semicontinuity and Continuity of the Solution Map for (PKFI)

In this section, we obtain some new sufficient conditions for the semicontinuity and continuity of the solution maps to the (PKFI).

Firstly, we provide a new result of sufficient condition for the upper semicontinuity and closeness of the solution mapping to the (PKFI).

Theorem 3.1. For the problem (PKFI), suppose that the following conditions are satisfied:

  • (i)

    A(·) is continuous with nonempty compact value on Λ;

  • (ii)

    F(·, ·, ·) is l.s.c. on B × B × Λ.

Then, V(F, ·) is u.s.c. and closed on Λ.

Proof. (i) Firstly, we prove V(F, ·) is u.s.c. on Λ. Suppose to the contrary, there exists some μ0 ∈ Λ such that V(F, ·) is not u.s.c. at μ0. Then, there exist an open set V satisfying V(F, μ0) ⊂ V and sequences μnμ0 and xnV(F, μn), such that

(3.1)
Since xnA(μn) and A(·) are u.s.c. at μ0 with compact values by Proposition 2.3, there is an x0A(μ0) such that xnx0 (here, we can take a subsequence of {xn} if necessary).

Now, we need to show that x0V(F, μ0). By contradiction, assume that x0V(F, μ0). Then, there exists y0A(μ0) such that

(3.2)
that is,
(3.3)

By the lower semicontinuity of A(·) at μ0, for y0A(μ0), there exists ynA(μn) such that yny0.

It follows from xnV(F, μn) and ynA(μn) that

(3.4)

Since F(·, ·, ·) is l.s.c. at (x0, y0, λ0), for z0F(x0, y0, μ0), there exists znF(xn, yn, μn) such that

(3.5)
From (3.3), (3.5), and the openness of int C, there exists a positive integer N sufficiently large such that for all nN,
(3.6)
which contradicts (3.4). So, we have
(3.7)
Since xnx0 (here we can take a subsequence of {xn} if necessary), we can find (3.7) contradicts (3.1). Consequently, V(F, ·) is u.s.c. on Λ.

(ii) In a similar way to the proof of (i), we can easily obtain the closeness of V(F, ·) on Λ. This completes the proof.

Remark 3.2. Theorem 3.1 generalizes and improves the corresponding results of Gong [10, Theorem 3.1] in the following four aspects:

  • (i)

    the condition that A(·) is convex values is removed;

  • (ii)

    the vector-valued mapping F(·, ·, ·) is extended to set-valued mapping, and the condition that C-monotone of mapping is removed;

  • (iii)

    the assumption (iii) of Theorem  3.1 in [10] is removed;

  • (iv)

    the condition that A(·) is uniformly compact near μ ∈ Λ is not required.

Moreover, we also can see that the obtained result extends Theorem 2.1 of [15].

Now, we give an example to illustrate that Theorem 3.1 is applicable.

Example 3.3. Let   X = Z = Y = , C = +, Λ = [0, 21/2] be a subset of Z. Let F : X × X × Λ⇉Y be a set-valued mapping defined by F(x, y, λ) = [(y + 1)(λ2 + 1)(xλ), 10 + λ2] and let A : Λ⇉X defined by A(λ) = [λ2, 2].

It follows from direct computation that

(3.8)
Then, we can verify that all assumptions of Theorem 3.1 are satisfied. By Theorem 3.1, V(F, ·) is u.s.c. and closed on Λ. Therefore, Theorem 3.1 is applicable.

When F : X × X × ZY is a vector-valued mapping, one can get the following corollary.

Corollary 3.4. For the problem (PKFI), suppose that F : X × X × ZY is a vector-valued mapping and the following conditions are satisfied:

  • (i)

    A(·) is continuous with nonempty compact value on Λ;

  • (ii)

    F(·, ·, ·) is continuous on B × B × Λ.

Then, V(F, ·) is u.s.c. and closed on Λ.

Now, we give a sufficient condition for the lower semicontinuity of the solution maps to the (PKFI).

Theorem 3.5. Let fC*∖{0}. Suppose that the following conditions are satisfied:

  • (i)

    A(·) is continuous with nonempty compact value on Λ;

  • (ii)

    F(·, ·, ·) is u.s.c. with nonempty compact values on B × B × Λ;

  • (iii)

    for each λ ∈ Λ, xA(λ)∖Vf(F, λ), there exists yVf(F, λ), such that

    (3.9)
    where γ > 0 is a positive constant.

Then, Vf(F, ·) is l.s.c. on Λ.

Proof. By the contrary, assume that there exists λ0 ∈ Λ, such that Vf(F, ·) is not l.s.c. at λ0. Then, there exist λα with λαλ0 and x0Vf(F, λ0), such that for any xαVf(F, λα) with xαx0.

Since x0A(λ0) and A(·) are l.s.c. at λ0, there exists such that . We claim that . If not, for , it follows from above-mentioned assumption that , which is a contradiction.

By (iii), there exists yαVf(F, λα), such that

(3.10)

For yαVf(F, λα) ⊂ A(λα), because A(·) is u.s.c. at λ0 with compact values by Proposition 2.3, there exist y0A(λ0) and a subsequence of {yα} such that . In particular, for (3.10), we have

(3.11)
Then, there exist and such that
(3.12)
Since F(·, ·, ·) is u.s.c. with compact values on B × B × Λ by Proposition 2.3, there exist and such that , . From , , the continuity of d(·, ·), and the closedness of C, we have
(3.13)
It follows from x0Vf(F, λ0) and y0A(λ0) that . Particularly, we have
(3.14)
On the other hand, since and , we have . Also, we have . It follows from the continuity of f that we have
(3.15)
By (3.14), (3.15), and the linearity of f, we get
(3.16)

For the above x0 and y0, we consider two cases:

Case i. If x0y0, by (3.13), we can obtain that

(3.17)
Then, it follows from fC*∖{0} that
(3.18)
which is a contradiction to (3.16).

Case ii. If x0 = y0, since yαVf(F, λα), yαy0 = x0, this contradicts that for any xαVf(F, λα), xα do not converge to x0. Thus, Vf(F, ·) is l.s.c. on Λ. The proof is completed.

Remark 3.6. Theorem 3.5 generalizes and improves the corresponding results of [14, Lemma 3.1] in the following three aspects:

  • (i)

    the condition that A(·) is convex values is removed;

  • (ii)

    the vector-valued mapping F(·, ·, ·) is extended to set-valued map;

  • (iii)

    the constant γ can be any positive constant (γ > 0) in Theorem 3.5, while it should be strictly restricted to γ = 1 in Lemma 3.1 of [14].

Moreover, we also can see that the obtained result extends the ones of Gong and Yao [11, Theorem 2.1], where a strong assumption that C-strict/strong monotonicity of the mappings is required.

The following example illustrates that the assumption (iii) of Theorem 3.5 is essential.

Example 3.7. Let X = Y = , C = +. Let Λ = [3,5] be a subset of Z. For each λ ∈ Λ, x, yX, let A(λ) = [λ − 3,2] and F : X × X × Λ⇉Y∖{} be a set-valued mapping defined by

(3.19)
Obviously, assumptions (i) and (ii) of Theorem 3.5 are satisfied, and A(λ) = [0,2],   for  all  λ ∈ Λ. For any given λ ∈ Λ, let f(F(x, y, λ)) = z/3,   for  all  zF(x, y, λ). Then, it follows from a direct computation that
(3.20)

However, Vf(F, λ) is even not l.c.s. at λ = 3. The reason is that the assumption (iii) is violated. Indeed, if x = 0 ∈ Vf(F, λ), for λ = 3 and for all γ > 0, there exist y = 1/2 ∈ A(λ)∖Vf(F, λ) = (0,2), such that

(3.21)
if x = 2 ∈ Vf(F, λ), for λ = 3 and for all γ > 0, there exist y = 1/2 ∈ A(λ)∖Vf(F, λ), using a similar method, we have F(x, y, λ) + F(y, x, λ) + B(0, dγ(x, y))⊈−C. Therefore, (iii) is violated.

Now, we show that Vf(F, ·) is not l.s.c. at λ = 3. Indeed, there exists 0 ∈ Vf(F, 3) and there exists a neighborhood (−2/9, 2/9) of 0, for any neighborhood N(3) of 3, there exists such that and

(3.22)
Thus,
(3.23)
By Definition 2.2 (or page 108 in [18]), we know that Vf(F, ·) is not l.c.s. at λ = 3. So, the assumption (iii) of Theorem 3.5 is essential.

By virtue of Theorem  1.1 in [15] (or Lemma  2.1 in [16]), we can get the following proposition.

Proposition 3.8. Suppose that for each λ ∈ Λ and xA(λ), F(x, A(λ), λ) + C is a convex set, then

(3.24)

Theorem 3.9. For the problem (PKFI), suppose that the following conditions are satisfied:

  • (i)

    A(·) is continuous with nonempty compact convex value on Λ;

  • (ii)

    F(·, ·, ·) is continuous with nonempty compact values on B × B × Λ;

  • (iii)

    for each λ ∈ Λ, xA(λ)∖Vf(F, λ), there exists yVf(F, λ), such that

    (3.25)
    where γ > 0 is a positive constant.

  • (iv)

    for each λ ∈ Λ and for each xA(λ), F(x, ·, λ) is C-like-convex on A(λ).

Then, V(F, ·) is closed and continuous (i.e., both l.s.c. and u.s.c.) on Λ.

Proof. From Theorem 3.1, it is easy to see that V(F, ·) is u.s.c. and closed on Λ. Now, we will only prove that V(F, ·) is l.s.c. on Λ. For each λ ∈ Λ and for each xA(λ), since F(x, ·, λ) is C-like-convex on A(λ), F(x, A(λ), λ) + C is convex. Thus, by virtue of Proposition 3.8, for each λ ∈ Λ, it holds

(3.26)
By Theorem 3.5, for each fC*∖{0}, Vf(F, ·) is l.s.c. on Λ. Therefore, in view of Theorem 2 in [20, page 114], we have V(F, ·) is l.s.c. on Λ. This completes the proof.

Remark 3.10. Theorem 3.9 generalizes and improves the work in [15, Theorems  3.4-3.5]. Our approach on the (semi)continuity of the solution mapping V(F, ·) is totally different from the ones by Chen and Gong [15]. In [15], the Vf(F, λ) is strictly to be a singleton, while it may be a set-valued one in our paper. In addition, the assumption that C-strictly monotonicity of the mapping F is not required and the C-convexity of F is generalized to the C-like-convexity.

When the mapping F is vector-valued, we obtain the following corollary.

Corollary 3.11. For the problem (PKFI), suppose that F : X × X × ZY is a vector-valued mapping and the following conditions are satisfied:

  • (i)

    A(·) is continuous with nonempty compact convex value on Λ;

  • (ii)

    F(·, ·, ·) is continuous on B × B × Λ;

  • (iii)

    for each λ ∈ Λ, xA(λ)∖Vf(F, λ), there exists yVf(F, λ), such that

    (3.27)
    where γ > 0 is a positive constant.

  • (iv)

    for each λ ∈ Λ and for each xA(λ), F(x, ·, λ) is C-like-convex on A(λ).

Then, V(F, ·) is closed and continuous (i.e., both l.s.c. and u.s.c.) on Λ.

Remark 3.12. Corollary 3.11 generalizes and improves [10, Theorem 4.2] and [13, Theorem 4.2], respectively, because the assumption that C-strict monotonicity of the mapping F is not required.

Next,we give the following example to illustrate the case.

Example 3.13. Let , Λ = [−1,1] be a subset of Z. Let F : X × X × Λ → Y be a mapping defined by

(3.28)
and define A : Λ → 2Y by A(λ) = [−1,1].

Obviously, A(·) is a continuous set-valued mapping from Λ to R with nonempty compact convex values, and conditions (ii) and (iv) of Corollary 3.11 are satisfied.

Let f = (0,2) ∈ C*∖{0}, it follows from a direct computation that Vf(F, λ) = [0,1] for any λ ∈ Λ. Hence, for any xA(λ)∖Vf(F, λ), there exists y = 0 ∈ Vf(F, λ), such that,

(3.29)
Thus, the condition (iii) of Corollary 3.11 is also satisfied. By Corollary 3.11, V(F, ·) is closed and continuous (i.e., both l.s.c. and u.s.c.) on Λ.

However, the condition that F is a C-strictly monotone mapping is violated. Indeed, for any λ ∈ Λ = [−1,1] and xA(λ)∖Vf(F, ·), there exist y = −xVf(F, ·) with y = −x, such that

(3.30)
which implies that F(·, ·, ·) is not -strictly monotone on A(Λ) × A(Λ) × Λ. Then, Theorem  4.2 in [10] and Theorem  4.2 in [13] are not applicable, and the corresponding results in references (e.g., [11, Lemma 2.2, Theorem 2.1]) are also not applicable.

Acknowledgments

The authors would like to express their deep gratitude to the anonymous referees and the associate editor for their valuable comments and suggestions, which helped to improve the paper. This work was supported by the National Natural Science Foundation of China (10831009, 11001287), the Natural Science Foundation Project of Chongqing (CSTC2011BA0030, CSTC2011AC6104, CSTC2010BB9254), and the Education Committee Project Research Foundation of Chongqing nos. (KJ100711, KJ120401).

      The full text of this article hosted at iucr.org is unavailable due to technical difficulties.