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Strongly essential set of vector Ky Fan's points problem and its applications

  • In this paper, several existence results of strongly essential set of the solution set for Ky Fan's section problems and vector Ky Fan's point problems are obtained. Firstly, two kinds of strongly essential sets of Ky Fan's section problems are defined, and some further results on existence of the strongly essential component of solutions set of Ky Fan's section problems are proved, which generalize the conclusion in [22], and further generalize the conclusions in [21,28]. Secondly, based on the above results, two classes of stronger perturbations of vector-valued inequality functions are proposed respectively, and several existence results of the strongly essential component of set of vector Ky Fan's points are obtained. By comparing several metrics, we give some strong and weak relationships among the various metrics involved in the text. The main results of this paper actually generalize the relevant conclusions in the current literature. Finally, as an application, we obtain an existence result of the strongly essential component of weakly Pareto-Nash equilibrium for multiobjective games.

    Citation: Dejin Zhang, Shuwen Xiang, Xicai Deng, Yanlong Yang. Strongly essential set of vector Ky Fan's points problem and its applications[J]. AIMS Mathematics, 2021, 6(4): 3160-3176. doi: 10.3934/math.2021191

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  • In this paper, several existence results of strongly essential set of the solution set for Ky Fan's section problems and vector Ky Fan's point problems are obtained. Firstly, two kinds of strongly essential sets of Ky Fan's section problems are defined, and some further results on existence of the strongly essential component of solutions set of Ky Fan's section problems are proved, which generalize the conclusion in [22], and further generalize the conclusions in [21,28]. Secondly, based on the above results, two classes of stronger perturbations of vector-valued inequality functions are proposed respectively, and several existence results of the strongly essential component of set of vector Ky Fan's points are obtained. By comparing several metrics, we give some strong and weak relationships among the various metrics involved in the text. The main results of this paper actually generalize the relevant conclusions in the current literature. Finally, as an application, we obtain an existence result of the strongly essential component of weakly Pareto-Nash equilibrium for multiobjective games.


    Let X be a nonempty compact convex set of Hausdorff linear topological space and f:X×XRk be a vector-valued function. In this paper, we consider the following vector Ky Fan's point problem (in short, (VKF), called vector-valued Ky Fan's inequality problem by some authors) (see, [27]):

    (VKF) Find a point yX such that f(x,y)intRk+ for any xX.

    The above function f:X×XRk is called a vector-valued inequality function, and yX is called a vector Ky Fan's point of f. In particular, when k=1, the above vector-valued Ky Fan's inequality problem is just the usual Ky Fan's inequality problem, and the corresponding vector Ky Fan's point becomes the usual Ky Fan's point (see, [12,20]).

    Vector-valued Ky Fan's inequalities are natural generalizations of the Ky Fan's inequality to vector-valued functions, vector-valued Ky Fan's inequality theorem plays a very important role in the research of nonlinear and convex analysis. As the applications of vector-valued Ky Fan's inequality in many mathematical problems, such as vector optimization [9], vector variational inequality [6,8,13,23], vector complementarity and multi-objective games [16,27], etc., the study on the existence, stability and related applications of solutions of vector-valued Ky Fan's inequality have made rapid developments in the last twenty years [10,22,25,27], and the references therein. Many researchers have achieved a lot of research results and extended it to various generalized forms, such as vector quasi-equilibrium problems [4], bilevel vector equilibrium problems [2,15], vector quasi-variational inequality [7,14,19], generalized quasi-variational inclusion [3], set-valued Ky Fan's inequality[17] and stochastic Ky Fan's inequality etc.[22,25,27], and the references therein.

    Many researchers focused on the stability of Ky Fan's points and vector Ky Fan's points. Tan et al. [20] and Yu et al. [24,26] proposed the generic stability and essential components of Ky Fan's point with respect to the perturbation of inequality functions based on sup-norm metric, respectively. Similarly, Yang and Yu [27] obtained the existence of essential components of vector Ky Fan's point with respect to the perturbation of vector-valued inequality functions based on sup-norm metric. As we know, Ky Fan's section theorem is an equivalent form of (vector-valued) Ky Fan's inequality (see, [5,11]), but there no longer has any function form. To discuss the stability of Ky Fan's section theorem, Zhou et al. [28] introduced a maximum Hausdorff metric of section mappings and obtained the existence of essential component of the set of solutions of Ky Fan's section theorem, which set up an alternative way to study the stable set of Ky Fan's point defined by the perturbation of section mappings.

    In both of these cases, two perturbations were proposed by the sup-norm of inequality functions and the maximum Hausdorff metric of section mappings, respectively. Nevertheless, an example (see, Example 1) shows that there is no direct relationship between these two kinds of perturbations. Besides, both the sup-norm metric and the maximum Hausdorff metric must be defined on the total set, so it is very difficult to discuss the stability with respect to set perturbation generated from the uncertainty of cognition and choice. Therefore, there are two questions that deserves attention: (1) Is it possible to establish a perturbation which can include these two perturbations defined by the sup-norm and the maximum Hausdorff metric respectively? (2) Is it possible to define a class of essential sets which have stronger stability and provide a method to deal with the perturbations of strategic sets? Around these questions, Xiang et al. [21,22] established the strongly stability of Ky Fan's points by introducing a class of stronger perturbations of section mapping and graph defined by the Hausdorff semi-metric on suitable set, respectively, both can be include two perturbations mentioned in question (1), and Xiang et al. [22] further provided a strongly stability analysis method for perturbation of set. However, Xiang et al. [22] only considered the special case in which the initial set is always the total space X, and the perturbation of set variation can only be inward reduced to XCK(X). So there are other two questions worth studying: (3) Is it possible to discuss more general case where the initial set X0 is arbitrary compact convex subset of X and its perturbation way of set is also arbitrary? (4) In the case of vector value function, is the above method still applicable?

    Inspired by the above research works, in this paper, we further investigate the strongly stability of the solution set for Ky Fan's section problems and vector Ky Fan's point problems, to solve the above four questions. Firstly, we shall introduce two kinds of stronger perturbations defined by the Hausdorff semi-metric on X×X and the Hausdorff metric on X, both can be include two perturbations mentioned in question (1). In some special case, we also compare the relationships among various metrics to obtain the strong and weak relations among these perturbations discussed. Next, based on these perturbations, some concepts of strongly essential set of solutions of Ky Fan's section problems are introduced, respectively. And in the general case where the initial set X0 is arbitrary compact convex subset of X and its perturbation way of set is also arbitrary, we study and generalize the existence of strongly essential component of solution set for Ky Fan's section problems. Furthermore, we define two kinds of strongly essential sets of solutions of problem (VKF), and based on the above existence results, we investigate the stability of problem (VKF), and obtain some existence results of strongly essential component of solution set for problem (VKF). Finally, as an application, we deduce an existence result of the strongly essential component of weakly Pareto-Nash equilibrium for multiobjective games by means of the above results, which provide a method to discuss the stability of set of weakly Pareto-Nash equilibrium for multiobjective games with respect to general perturbation of strategic set.

    Unless otherwise mentioned, we will restrict our discussion domain to a normed linear space (E,||||). Let X be a nonempty convex compact subset of (E,||||), denote K(X) and CK(X) the set of nonempty compact subsets of X and the set of all nonempty compact convex subsets of X respectively. Define a metric d on X×X as

    d(x,y)=||x1y1||+||x2y2||

    for x=(x1,x2), y=(y1,y2) in X×X. And denote Hd the Hausdorff metric on K(X) or K(X)×K(X). Let Rk+={x=(x1,,xk)Rk:xi0,i=1,,k} and intRk+={x=(x1,,xk)Rk:xi>0,i=1,,k}. It is clear that Rk+ is a nonempty closed convex and pointed cone in Rk with intRk+, and intRk++Rk+=intRk+ (Ref. [27]).

    Now, we first recall some basic concepts which will be used in the follows (Ref. [9,18]).

    Definition 1. A mapping T:Z2Y is said to be upper semicontinuous at z, if for any ϵ>0, there exists some δ>0 such that T(z)[T(z)+Bϵ(0)] for any zZ with d(z,z)<δ; And T is said to be upper semicontinuous, if T is upper semicontinuous at any zZ; And T:Z2Y is said to be a usco mapping, if T is upper semicontinuous and compact-valued on Z.

    Definition 2. A vector-valued function f:XRk is said to be Rk+-lower semicontinuous at xX, if for any open neighbourhood V of original point 0 in Rk, there exists some open neighbourhood O(x) of x such that f(x)f(x)+V+Rk+ for all xO(x); f is said to be Rk+-lower semicontinuous on X, if it is Rk+-lower semicontinuous at any xX; f is said to be Rk+-upper semicontinuous on X, if f is Rk+-lower semicontinuous on X; And f is said to be Rk+-continuous on X, if it is both Rk+-lower semicontinuous and Rk+-upper semicontinuous on X.

    Definition 3. A vector-valued function f:XRk is said to be Rk+-quasiconcave, if for any x1,x2X and any λ(0,1), such that f(λx1+(1λ)x2)y+Rk+ whenever f(x1)y+Rk+ and f(x2)y+Rk+ for any yRk.

    For convenience, we recall the Ky Fan's section theorem and the vector-valued Ky Fan's inequality theorem as Theorem A and Theorem B, respectively, (see [27,28]).

    Theorem A Let X be a nonempty convex compact subset of space E, AX×X satisfies:

    (1) for each xX, {yX:(x,y)A} is closed;

    (2) for each yX, {xX:(x,y)A} is a convex or empty set;

    (3) for each xX, (x,x)A.

    Then there exists y0X, such that X×{y0}A.

    Theorem B Let X be a nonempty convex compact subset of space E, φ:X×XRk satisfies:

    (1) for every xX, yφ(x,y) is Rk+-lower semi-continuous;

    (2) for every yX, xφ(x,y) is Rk+-quasi-concave;

    (3) for every xX, φ(x,x)intRk+.

    Then there exists yX, such that φ(x,y)intRk+ for every xX.

    Note that y0 in Theorem A is called a solution of section problem A, and yX in Theorem B is called a vector Ky Fan's point of φ. In particular, if k=1, then Theorem B is just the usual existence theorem of solutions of Ky Fan's inequality (see [12]).

    In order to investigate the stability of solutions to Theorem A and Theorem B, as in [22,28], denote

    A={A|AX×X is closed and satisfies (1)(3) of Theorem A};F={φ|φ:X×XRk is Rk+lower semicontinuous                    and satisfies (2),(3) of Theorem B}.

    For each φF, denote

    Aφ={(x,y)X×X:φ(x,y)intRk+}.

    It can be to verify that AφA. For each AA and φF, define the section mappings EA:X2X and Eφ:X2X as

    EA(x)={yX:(x,y)A}, xX;Eφ(x)={yX:φ(x,y)intRk+}, xX.

    Then Eφ=EAφ for any φF.

    For each AA, denote the solution set of problem A by Fs(A)=xXEA(x). And for each φF, denote the set of all vector Ky Fan's points of φ by FK(φ)=xXEφ(x). It is obvious that FK(φ)=Fs(Aφ) for any φF. By Theorem A and B, the solution mappings Fs:AK(X) and FK:FK(X) are both well-defined.

    The sup-norm metric on F is introduced in general, that is,

    ρm(φ1,φ2)=sup(x,y)X×X||φ1(x,y)φ2(x,y)||, φ1,φ2F.

    Moreover, two metrics on A and F are defined by the maximum Hausdorff metric Hd as follows (Ref. [22,28]):

    ρs(A1,A2)=supxXHd(EA1(x),EA2(x)), A1,A2A;ρ1(φ1,φ2)=supxXHd(Eφ1(x),Eφ2(x)), φ1,φ2F.

    Now, some concepts of essentiality about vector Ky Fan's points with respect to ρm and ρ1 are recalled (Ref. [27]).

    Definition 4. Let φF. A nonempty closed subset e(φ)FK(φ) is said to be an essential set of FK(φ) with respect to ρm (or ρ1), if ϵ>0, there exists δ>0 such that FK(φ)[e(φ)+Bε(0)] for any φF with ρm(φ,φ)<δ (or ρ1(φ,φ)<δ).

    Remark 1. (1) A component C of FK(φ) is said to be an essential component of FK(φ) with respect to ρm (or ρ1), if the component C of FK(φ) is essential with respect to ρm (or ρ1). (2) Similar as Definition 4 and (1) of Remark 1, we may define the essential set and essential component of Fs(A) with respect to ρs for AA.

    Note that Yang and Yu [27], Yu and Peng [25] prove the existence of essential component for vector Ky Fan's points with respect to ρm and ρ1, respectively. However, the following example shows that the essentiality of set of vector Ky Fan's points based on ρm is not necessarily related to the essentiality based on the sup-norm metric ρ1.

    Example 1. Let X=[0,1]. For n=1,2,, define φ,φn,ϕn:X×XRk as

    φ(x,y)=(0,,0);φn(x,y)=(1,,1);ϕn(x,y)=(1n(yx),,1n(yx)),(x,y)X×X.

    Then φ,φn,ϕnF. It is easy to see that Eφ(x)=Eφn(x)=[0,1] and Eϕn(x)=[0,x] for each xX. Then ρ1(φn,φ)=0, while ρm(φn,φ)=k does not converges to 0. On the other hand, it is clear that ρm(ϕn,φ)0 while ρ1(ϕn,φ)=1 does not converges to 0. Therefore, the essentiality of the set of vector Ky Fan's points is not necessarily associated with these two kinds of perturbations defined by the metric ρ1 and ρm respectively. This shows that the perturbation of the vector-valued inequality function, even defined by the strong sup-norm metric, when it is sufficiently small, can not guarantee that the perturbation of their section mappings is also sufficiently small.

    According to Example 1, a question yields: How can a kind of perturbation be defined such that it includes perturbations defined by ρ1 and ρm? To discuss this question, similar as in [21], we introduce two types of semi-metrics ρsu and ρku on A and F, respectively:

    ρsu(A2,A1)=supxXHu(EA2(x),EA1(x)), A2,A1A;ρku(φ2,φ1)=supxXHu(Eφ2(x),Eφ1(x)), φ1,φ1F.

    where Hu(A,B)=supzAd(z,B) is the Hausdorff upper semi-metric on K(X). It is clear that ρku(φ2,φ1)=ρsu(Aφ2,Aφ1). The relations among the metrics ρsu,ρku,ρs,ρ1 and ρm are revealed below.

    Proposition 1. (1)ρsu(A2,A1)ρs(A2,A1), A2,A1A;

    (2)ρku(φ2,φ1)ρ1(φ2,φ1), φ2,φ1F;

    (3) Let φ,φnF, if ρm(φn,φ)0 (n), then ρku(φn,φ)0.

    Proof. The conclusions (1) and (2) follow immediately from the definitions of ρs, ρ1 and ρsu,ρku.

    (3) If the conclusion is not true, then there exist ϵ0>0, δn>0 with δn0, and a corresponding sequence of functions φn with ρm(φn,φ)<δn, such that ρku(φn,φ)ϵ0, that is,

    ρku(φn,φ)=supxXHu(Eφn(x),Eφ(x))=supxX(supzEφn(x)d(z,Eφ(x)))ϵ0.

    Then there exist x0X and ynEφn(x0)X such that d(yn,Eφ(x0))12ϵ0. From Eφn(x0)={yX:φn(x0,y)intRk+}, we have φn(x0,yn)intRk+. Since X is compact, there exists a convergent subsequence of {yn}, without loss of generality, we may assume that yny0X. As ρm(φn,φ)<δn0, i.e. φnφ (with respect to ρm), there must be φ(x0,y0)intRk+. In fact, if it were not true, that is φ(x0,y0)intRk+, then there exists an open neighbourhood V of original point 0 in Rk, such that φ(x0,y0)+VintRk+. And since ρm(φn,φ)<δn0 and φ is Rk+-lower semicontinuous, then φn(x0,yn)φ(x0,yn)+12V and φ(x0,yn)φ(x0,y0)+12V+intRk+ for sufficiently large n. Consequently,

    φn(x0,yn)φ(x0,yn)+12Vφ(x0,y0)+V+intRk+intRk++Rk+=intRk+,

    which contradicts with φn(x0,yn)intRk+. Thus, φ(x0,y0)intRk+. From Eφ(x0)={yX:φ(x0,y)intRk+}, we have y0Eφ(x0), which is a contradiction with d(yn,Eφ(x0))12ϵ0 and yny0. The proof is complete.

    Remark 2. (1) The conclusions of Proposition 1 extend the conclusions of Proposition 2.1 in [21]. In fact, in the special case of n=1, the conclusions of Proposition 1 is just the corresponding results of Proposition 2.1 in [21].

    (2) From (2) and (3) in Proposition 1, we know that the perturbation defined by ρku includes two perturbations defined by ρm and ρ1. That is to say, the perturbation under ρku is sufficiently small whenever the perturbation under ρm or ρ1 is small enough.

    Moreover, in order to further study the case of perturbation generated from variation of sets, we introduce some notations as follows (Ref. [22]).

    For each AA and XCK(X), denote

    A|X={(x,y)X×X:(x,y)A},

    and

    AX={A|X:AA,XCK(X)}.

    It is obvious that A|XX×X is closed, and so it is compact by the compactness of X×X.

    For each φF and XCK(X), denote φ|X the restriction of φ on the set X, i.e. φ:X×XRk. Denote

    FX={φ|X:φF,XCK(X)}.

    And for each φ|XFX, let

    Aφ|X={(x,y)X×X:φ(x,y)intRk+};Eφ|X(x)={yX:(x,y)Aφ|X}={yX:φ(x,y)intRk+},xX.

    Then Aφ|X=Aφ|X, and Eφ|X:X2X is a section mapping of φ|X. In particular, when X=X, we have A|X=A, φ|X=φ, Aφ|X=Aφ and Eφ|X=Eφ.

    Now, similar as in [22], we introduce two kinds of semi-metrics ρsH, ρkH on AX, FX, respectively:

    ρsH(A2|X2,A1|X1)=Hu(A2|X2,A1|X1)+Hd(X2,X1), A2|X2,A1|X1AX;ρkH(φ2|X2,φ1|X1)=Hu(Aφ2|X2,Aφ1|X1)+Hd(X2,X1), φ2|X2,φ1|X1FX.

    where Hu(A,B)=supzAd(z,B) is the Hausdorff upper semi-metric on K(X)×K(X) (see [18]). It is easy to see that ρkH(φ2|X2,φ1|X1)=ρsH(Aφ2|X2,Aφ1|X1)=ρsH(Aφ2|X2,Aφ1|X1).

    In particular, if the perturbation of sets need not be considered, that is, AX=A,FX=F, then for A1,A2A and φ1,φ2F, we have A1|X=A1, A2|X=A2 and φ1|X=φ1,φ2|X=φ2. Then ρsH(A2|X,A1|X)=ρsH(A2,A1), ρkH(φ2|X,φ1|X)=ρkH(φ2,φ1).

    In the special case in which AX=A and FX=F, the relations among the metrics ρsu,ρku and ρsH,ρkH are revealed below.

    Proposition 2. (1)ρsH(A2,A1)ρsu(A2,A1),A2,A1A;

    (2)ρkH(φ2,φ1)ρku(φ2,φ1),φ2,φ1F.

    Proof. (1) It follows immediately from the proof of (1) of Proposition 2.1 in [22].

    (2) For any φ2,φ1F, assume that ρku(φ2,φ1)=r, we need only to show that ρkH(φ2,φ1)r holds. Since ρku(φ2,φ1)=supxXHu(Eφ2(x),Eφ1(x))=r, we have Eφ2(x)Eφ1(x)+Br(0) for xX. And

    Aφ1={(x,y)X×X|φ1(x,y)intRk+}={(x,y)X×X|yEφ1(x)};Aφ2={(x,y)X×X|φ2(x,y)intRk+}={(x,y)X×X|yEφ2(x)}       {(x,y)X×X|yEφ1(x)+Br(0)}Aφ1+Br(0).

    Hence, ρkH(φ2,φ1)=Hu(Aφ2,Aφ1)=supzAφ2d(z,Aφ1)r. The proof is complete.

    Remark 3. Proposition 2 illustrates that the perturbation defined by ρsH includes the perturbation defined by ρsu, and the perturbation defined by ρkH includes the perturbation defined by ρku.

    From the Proposition 1 and 2, in the special case in which AX=A and FX=F, we immediately obtain the relations among the metrics ρsu,ρku,ρsH,ρkH,ρs,ρ1 and ρm as below.

    Corollary 1. (1)ρsH(A2,A1)ρsu(A2,A1)ρs(A2,A1), A2,A1A;

    (2)ρkH(φ2,φ1)ρku(φ2,φ1)ρ1(φ2,φ1), φ2,φ1F;

    (3) Let φ,φnF, if ρm(φn,φ)0 (n), then ρku(φn,φ)0, which further implies ρkH(φn,φ)0.

    Remark 4. (1) It is clear that Corollary 1 contains the conclusions of Proposition 2.1 in [22] as a special case in which n=1.

    (2) Corollary 1 shows that the perturbation defined by ρkH includes the perturbation defined by ρku, and further includes the perturbations defined by ρm and ρ1. That is to say, when the perturbation under ρm or ρ1 is sufficiently small, the perturbation under ρku is sufficiently small, and furthermore, the perturbation under ρkH is also sufficiently small.

    Looking back on Example 1, note that Eφ(x)=Eφn(x)=[0,1] and Eϕn(x)=[0,x] for each xX, we have Eφn(x)=Eφ(x) and Eϕn(x)Eφ(x), then ρku(φn,φ)0 and ρku(ϕn,φ)0. Furthermore, we have Aφ=[0,1]×[0,1], Aφn=[0,1]×[0,1], and Aϕn={(x,y)[0,1]×[0,1]:yx}, consequently, Aφn=Aφ,AϕnAφ, then ρkH(φn,φ)0, ρkH(ϕn,φ)0.

    Let us introduce the concepts of strongly essential set of solution for Ky Fan's section theorem and vector-valued Ky Fan's inequality with respect to ρsu, ρsH and ρku, ρkH.

    Definition 5. (1) (Ref. [22]) Let AA. A nonempty closed subset e(A)Fs(A) is said to be a strongly essential set of Fs(A) with respect to ρsu, if ϵ>0, there exists δ>0 such that Fs(A)[e(A)+Bε(0)] for any AA with ρsu(A,A)<δ.

    (2) Let A|X0AX. A nonempty closed subset e(A|X0)Fs(A|X0) is said to be a strongly essential set of Fs(A|X0) with respect to ρsH, if ϵ>0, there exists δ>0 such that Fs(A|X)[e(A|X0)+Bε(0)] for any A|XAX with ρsH(A|X,A|X0)<δ.

    Definition 6. (1) (Ref. [21]) Let φF. A nonempty closed subset e(φ)FK(φ) is said to be a strongly essential set of FK(φ) with respect to ρku, if ϵ>0, there exists δ>0 such that FK(φ)[e(φ)+Bε(0)] for any φF with ρku(φ,φ)<δ.

    (2) Let φ|X0FX. A nonempty closed subset e(φ|X0)FK(φ|X0) is said to be a strongly essential set of FK(φ|X0) with respect to ρkH, if ϵ>0, there exists δ>0 such that FK(φ|X)[e(φ|X0)+Bε(0)] for any φ|XFX with ρkH(φ|X,φ|X0)<δ.

    Remark 5. (1) Similar to Remark 1 (1), we may define the strongly essential component in Definition 5 and 6.

    (2) Let e1 and e2 are two nonempty closed subsets of Fs(A|X0) with e1e2. If e1 is a strongly essential set of Fs(A|X0) with respect to ρsH, then so is e2. Similarly, there are same results in three other cases.

    (3) If S is a minimal element of the family S of all strongly essential sets with partial order defined by the inclusion relation, then S is said to be a strongly minimal essential set. A connected strongly minimal essential set S is called a strongly stable set.

    (4) Obviously, the stability defined by strongly essential set includes the perturbation of sets. Besides, in the special case in which the perturbation is not focused on the sets, that is, X=X0X, by Corollary 1, it follows that the perturbations defined by ρsH and ρkH include those defined by ρs, ρm and ρ1. Thus the strongly essential set has stronger stability than those defined in Definition 1 and Remark 1.

    (5) Let FFX and φ|X0F. Then we may define the strongly essential set on subspace F: A nonempty closed subset e(φ|X0)FK(φ|X0) is said to be a strongly essential set of FK(φ|X0) on F, if ϵ>0, there exists δ>0, such that FK(φ|X)[e(φ|X0)+Bε(0)] for any φ|XF with ρkH(φ|X,φ|X0)<δ. It is easy to see that a strongly essential set of FK(φ|X0) is also a strongly essential set of FK(φ|X0) on F.

    Now, we recall some basic results on solution mapping Fs:(AX,ρsH)K(X) for Ky Fan's section problems, which refer to the Lemma 3.1, Lemma 3.3 and Theoren 3.1 in [22].

    Lemma 1. (1)Fs:(AX,ρsH)K(X) is an usco mapping;

    (2) For each A|X0AX, Fs(A|X0) has at least one strongly minimal essential set with respect to ρsH;

    (3) For each A=A|XAX, Fs(A) has at least one strongly essential component with respect to ρsH.

    Proof. The conclusion (1) and the conclusion (3) see the Lemma 3.1 and Theoren 1 in [22], and the conclusion (2) follow similar to the proof of Lemma 3.3 in [22].

    Noting ρkH(φ2|X2,φ1|X1)=ρsH(Aφ2|X2,Aφ1|X1), by means of (1) of Lemma 1, we obtain a similar result for problems (VKF).

    Lemma 2. FK:(FX,ρkH)K(X) is an usco mapping.

    Proof. It is suffices to show that FK:(FX,ρkH)K(X) is upper semicontinuous for each φ|X0FX. Note that φ|X0FX implies Aφ|X0AX, it follows from Lemma 1 that Fs is upper semicontinuous at Aφ|X0, then for every ϵ>0, there exist δ>0 such that

    Aφ|XAX and ρsH(Aφ|X,Aφ|X0)=ρkH(φ|X,φ|X0)<δ

    for any φ|XFX with ρkH(φ|X,φ|X0)<δ, and then Fs(Aφ|X)[Fs(Aφ|X0)+Bϵ(0)]. Consequently,

    FK(φ|X)=Fs(Aφ|X)[Fs(Aφ|X0)+Bϵ(0)]=[FK(φ|X0)+Bϵ(0)].

    That is, FK is upper semicontinuous at φ|X0FX. The proof is complete.

    In order to prove our main results, we need the following lemmas, which will be useful below (Ref. [1]).

    Lemma 3. ([1]) Let X be a nonempty compact convex subset of linear topological space E. If A1,A2,,AnCK(X), then co(ni=1Ai)={ni=1λixi:xiAi,λi0 and ni=1λi=1} and co(ni=1Ai)CK(X), where co(A) denotes the convex hull of the set A.

    Lemma 4. Let X be a nonempty compact convex subset of linear topological space E. For any A1,A2,B1,B2CK(X), we have

    Hd(co(A1A2),co(B1B2))max{Hd(A1,B1),Hd(A2,B2)}.

    Proof. Form Lemma 3, xco(A1A2), there exist x1A1,x2A2 and t[0,1], such that x=tx1+(1t)x2, and then

    d(x,co(B1B2))=d(tx1+(1t)x2,tco(B1B2)+(1t)co(B1B2))d(tx1,tco(B1B2))+d((1t)x2,(1t)co(B1B2))=td(x1,co(B1B2))+(1t)d(x2,co(B1B2))td(x1,B1)+(1t)d(x2,B2)tHu(A1,B1)+(1t)Hu(A2,B2)max{Hu(A1,B1),Hu(A2,B2)}max{Hd(A1,B1),Hd(A2,B2)},

    which implies that

    Hu(co(A1A2),co(B1B2))=maxxco(A1A2)d(x,co(B1B2))max{Hd(A1,B1),Hd(A2,B2)}.

    Similarly, we can verify that Hl(co(A1A2),co(B1B2))max{Hd(A1,B1),Hd(A2,B2)}, where Hl(A,B)=Hu(B,A) denotes the Hausdorff lower semi-metric of the sets A and B on K(X).

    Therefore, we have

    Hd(co(A1A2),co(B1B2))     =max{Hu(co(A1A2),co(B1B2)),Hl(co(A1A2),co(B1B2))}     max{Hd(A1,B1),Hd(A2,B2)}.

    The proof is completed.

    In what follows, based on the general case for Ky Fan's section problem A|X0AX, which the initial set X0CK(X) is arbitrary and the perturbation of the set variation is also arbitrary, we will generalize and prove the further existence results of strongly essential component of solutions set for Ky Fan's section problems.

    Theorem 1. For each A|X0AX, Fs(A|X0) has at least one strongly essential component with respect to ρsH.

    Proof. By (2) of Lemma 1, for each A|X0AX, there exists m(A|X0) which is the strongly minimal essential set of Fs(A|X0). In what follows, we will prove that m(A|X0) is connected.

    If it does not hols, then there exist closed subsets C1,C2Fs(A|X0) with C1,C2, such that C1C2= and m(A|X0)=C1C2. Since C1,C2 are closed, and so are compact, there exists an ϵ>0 and two open sets V1,V2 on X, such that V1C1+Bϵ(0),V2C2+Bϵ(0) and ¯V1¯V2=. Then (C1C2)+Bϵ(0)(V1V2).

    From the minimality of m(A|X0), we have C1 and C2 are not essential, then there exist a sequence {δn>0} with δn0 and A1n|X1n, A2n|X2nAX corresponding to δn, such that ρsH(A1n|X1n,A|X0)<δn5, ρsH(A2n|X2n,A|X0)<δn5, and Fs(A1n|X1n)V1=, Fs(A2n|X2n)V2=.

    Let Xn=co(X1nX2n), it follows from Lemma 3 that XnCK(X).

    Note that ρsH(A1n|X1n,A|X0)=Hu(A1n|X1n,A|X0)+Hd(X1n,X0)<δn5 implies Hd(X1n,X0)<δn5. Similarly, one can obtain Hd(X2n,X0)<δn5. By Lemma 4, we have

    Hd(Xn,X0)=Hd(co(X1nX2n),co(X0X0))max{Hd(X1n,X0),Hd(X2n,X0)}<δn50,

    which means that XnX0CK(X).

    Let

    E1n(x)={yX:(x,y)A1n},E2n(x)={yX:(x,y)A2n}, xX.

    Define En:XK(X) as

    En(x)=[E1n(x)V2][E2n(x)V1],xX,     An={(x,y)X×X:yEn(x),xX}.

    Firstly, similar as in the proof of Theorem 3.1 of [22], we can easy to verify that AnA. Therefore, An|XnAX.

    Secondly, we check that Fs(An|Xn)(V1V2)=. Suppose by contradiction that there exists a y0Fs(An|Xn)(V1V2). Then y0(V1V2). Without loss of generality, we may assume y0V1. Since Fs(A1n|X1n)V1=, then y0Fs(A1n|X1n), and then there is some x0X1nX, such that y0E1n(x0). Moreover, since y0Fs(An|Xn), we have y0En(x0), then y0E2n(x0)V1, which contradicts with the assumption y0V1.

    Finally, we prove that ρsH(An|Xn,A|X0)<δn0. For any (xn,yn)An|XnAn, we have (xn,yn)Xn×Xn and ynEn(xn). Note that ynEn(xn) implies ynE1n(xn) or ynE2n(xn), that is (xn,yn)A1n or (xn,yn)A2n. Thus, we have (xn,yn)A1n|Xn or (xn,yn)A2n|Xn. If (xn,yn)A1n|Xn holds, for ρsH(A1n|X1n,A|X0)<δn5, we have Hd(Xn,X0)<δn5. By the triangle inequality, we get

    d((xn,yn),A|X0)d((xn,yn),A1n|X1n)+Hu(A1n|X1n,A|X0)Hu(A1n|Xn,A1n|X1n)+Hu(A1n|X1n,A|X0)Hu(Xn×Xn,X1n×X1n)+Hu(A1n|X1n,A|X0)2Hd(Xn,X1n)+Hu(A1n|X1n,A|X0)2(Hd(Xn,X0)+Hd(X0,X1n))+Hu(A1n|X1n,A|X0)2Hd(Xn,X0)+Hd(X0,X1n)+ρsH(A1n|X1n,A|X0)<4×δn5=45δn.

    In a similar way, if (xn,yn)A2n|Xn holds, we also obtain d((xn,yn),A|X0)<45δn and Hd(Xn,X0)<δn5. Therefore, from the arbitrariness of (xn,yn)An|Xn, one has

    Hu(An|Xn,A|X0)=sup(xn,yn)An|Xnd((xn,yn),A|X0)45δn.

    And so ρsH(An|Xn,A|X0)=Hu(An|Xn,A|X0)+Hd(Xn,X0)<45δn+δn5=δn0.

    Note that m(A|X0) is the essential set of Fs(A|X0) with respect to ρsH and ρsH(An|Xn,A|X0)0 imply Fs(An|Xn)[m(A|X0)+Bϵ(0)] for sufficiently large positive integer n. On the other hand, we also have

    Fs(An|Xn)[m(A|X0)+Bϵ(0)]Fs(An|Xn)[C1C2+Bϵ(0)]Fs(An|Xn)[V1V2]=,

    for each positive integer n, which leads to a contradiction. So the strongly minimal essential set m(A|X0) is connected.

    Hence there exists a component Cα of Fs(A|X0) such that m(A|X0)Cα. By (2) of Remark 5, it deduces that Cα is a strongly essential set of Fs(A|X0), and so is a strongly essential component of Fs(A|X0) with respect to ρsH. The proof is complete.

    Remark 6. By the proof of Theorem 1, we know that the strongly minimal essential set m(A|X0) is connected, and so is a strongly stable set. In Theorem 1, we study the more general case where the initial set X0CK(X) is arbitrary for problem A|X0AX, and the perturbation of the set variation is also arbitrary. But the Theorem 3.1 in [22] only considers the special case in which the initial set is the total space X, and the perturbation of the set variation can only be reduced to XCK(X). Therefore, Theorem 1 actually generalizes the conclusion of Theorem 3.1 in [22] (see, (3) in Lemma 1). In fact, Theorem 3.1 in [22] is just the special case of Theorem 1 in this paper when X0X. Besides, by Corollary 1, we immediately draw the following conclusions, which takes the Theorem 3.1 in [21] and the Theorem 3.3 in [28] as its special cases.

    Corollary 2. (1) For each AAX, Fs(A) has at least one strongly essential component with respect to ρsH;

    (2) For each AA, Fs(A) has at least one strongly essential component with respect to ρsu;

    (3) For each AA, Fs(A) has at least one essential component with respect to ρs

    By Theorem 1, we can deduce the existence of strongly essential components of the set of vector Ky Fan's points with respect to ρkH.

    Theorem 2. For each φ|X0FX, FK(φ|X0) has at least one strongly essential component with respect to ρkH.

    Proof. For each φ|X0FX, it means that Aφ|X0=Aφ|X0AX. By Theorem 3.1, Fs(Aφ|X0) has at least one strongly essential component with respect to ρsH, denote it by Cα. Then ϵ>0, there exists δ>0, such that Fs(A|X)[Cα+Bϵ(0)] for any A|XAX with ρsH(A|X,Aφ|X0)<δ.

    Note that ρkH(φ|X,φ|X0)=ρsH(Aφ|X,Aφ|X0)=ρsH(Aφ|X,Aφ|X0) and FK(φ|X0)=Fs(Aφ|X0), FK(φ|X)=Fs(Aφ|X). Clearly, if φ|XFX and ρkH(φ|X,φ|X0)<δ, which imply Aφ|XAX and ρsH(Aφ|X,Aφ|X0)<δ, then Fs(Aφ|X)[Cα+Bϵ(0)], namely, FK(φ|X)[Cα+Bϵ(0)]. By Definition 6 and (1) of Remark 5, Cα is an essential component of FK(φ|X0). The proof is complete.

    By (5) of Remark 5 and Theorem 2, we can easy to deduce immediately the existence result of strongly essential component for the problems (VKF) on the subspace F of FX.

    Corollary 3. Let FFX and φ|X0F. Then FK(φ|X0) has at least one strongly essential component with respect to ρkH on F.

    Proof. By Theorem 2, for each φ|X0FFX, there exists a strongly essential component with respect to ρkH in FX denoted by C. By Remark 5 (5), it is clear that C is also strongly essential component with respect to ρkH on F.

    By Corollary 1, the strongly essential component of FK(φ) has stronger stability than those based on the metric ρm or ρ1. Therefore, by Corollary 1 and Theorem 2, we can obtain the existence of essential component of solution set of the problems (VKF) with respect to ρku, ρ1 or ρm.

    Corollary 4. Let φF. Then

    (1)FK(φ) has at least one strongly essential component with respect to ρku;

    (2)FK(φ) has at least one essential component with respect to ρ1;

    (3)FK(φ) has at least one essential component with respect to ρm.

    Proof. (1) For each φFFX, by Theorem 2, FK(φ) has at least one strongly essential component with respect to ρkH, which is denoted by Cα. Then ϵ>0, there exists δ>0, such that FK(φ|X)[Cα+Bϵ(0)] for any φ|XFX with ρkH(φ|X,φ)<δ. In particular, when ρkH(φ,φ)<δ, one has FK(φ)[Cα+Bϵ(0)]. By (2) of Corollary 1, when ρku(φ,φ)<δ, we have ρkH(φ,φ)ρku(φ,φ)<δ, then FK(φ)[Cα+Bϵ(0)]. By Definition 6 and Remark 5, we have that Cα is an essential component of FK(φ) with respect to ρku.

    The proofs of conclusions (2) and (3) similar to (1), by (2) and (3) of Corollary 1, we may complete the proofs.

    It is easy to see that the strongly essential component of FK(φ|X0) has stronger stability, so it may provide a more applicable and convenient approach for eliminating the solutions with relatively weak stability.

    Let N={1,2,,n} be the set of players, and denote by Γ(X,f) a multi-objective game by a 2n-tuple (X1,,Xn;f1,,fn), where Xi is the strategy set of i-th player, X=ni=1Xi is the strategy profile set of the multi-objective game Γ, and fi={f1i,,fki}:X=ni=1XiRk is the vector-valued payoff function of i-th player, respectively, where fji:X=ni=1XiR for each j=1,,k. For each iN, denote Xi=(X1,,Xi1,Xi+1,,Xn), and for each x=(x1,,xn)X, denote xi=(x1,,xi1,xi+1,,xn)Xi.

    Definition 7. x=(xi,xi)X is called a weakly Pareto-Nash equilibrium of multi-objective game Γ(X,f), if

    fi(yi,xi)fi(xi,xi)intRk+, yXi, iN.

    Assume that a multi-objective game Γ(X,f) satisfies the condition C: (1) iN, fi is Rk+-continuous on X; and (2) yiXi, xiiNfi(xi,yi) is Rk+-quasi-concave on Xi.

    Denote

    G={Γ(X,f):Γ(X,f) satisfies the condition C}.

    It is easy to verify that for Γ(X,f)G, the corresponding function ψf(x,y)=iNfi(xi,yi)iNfi(yi,yi) satisfies the conditions of vector-valued Ky Fan's inequality theorem and ψfF.

    To study the stability of weakly Pareto-Nash equilibrium based on perturbations including of the variations of the strategy set, we introduce some notations and definitions.

    Let multi-objective game Γ(X,f)G. For each XCK(X), denote by Γ(X,f) a multi-objective game with the strategy profile set X=ni=1Xi and the vector-valued payoff function f=(f1,,fn). In particular, if X=X, we have Γ(X,f)=Γ(X,f). Denote

    GX={Γ(X,f)G:XCK(X)}.

    For each XCK(X) and Γ(X,f)GX, denoted by N(Γ(X,f)) the set of all weakly Pareto-Nash equilibria of multi-objective game Γ(X,f). Let

    U(x,y)=iNfi(xi,yi),x=(x1,,xn),y=(y1,,yn)X.

    It is easy to see that

    ψf(x,y)=U(x,y)U(y,y)=iNfi(xi,yi)iNfi(yi,yi),x,yX.

    Denote ψf|X:X×XRk as follows:

    (ψf|X)(x,y)=ψf(x,y),x,yX.

    We define the collective-better-reply correspondence (Ref.[28]) CBRΓ(X,f):X2X as follows:

    CBRΓ(X,f)(x)={yX:U(x,y)U(y,y)intRk+},xX.

    Then

    CBRΓ(X,f)(x)=Eψf|X(x)={yX:(ψf|X)(x,y)intRk+}={yX:ψf(x,y)intRk+},xX.

    Moreover, by Definition 7, we have N(Γ(X,f))=FK(ψf|X). From Theorem B, one can see that for each Γ(X,f)GX, we have FK(ψf|X), then N(Γ(X,f)). Thus N:GXK(X) is a set-value mapping with nonempty value.

    We now introduce two metrics on GX as follows: for any Γ(X,f),Γ(X,g)GX,

    ρm(Γ(X,f),Γ(X,g))=supxX||f(x)g(x)||,ρ2(Γ(X,f),Γ(X,g))=supxXHd(CBRΓ(X,f)(x),CBRΓ(X,g)(x)).

    By the definitions of metrics, ρ2(Γ(X,f),Γ(X,g))=ρ1(ψf,ψg) and ρm(Γ(X,f),Γ(X,g))=ρm(ψf,ψg).

    Next, we further define a semi-metric on GX as follows: for any Γ(X2,f2),Γ(X1,f1)GX,

    ρgH(Γ(X2,f2),Γ(X1,f1))=Hu(Aψf2|X2,Aψf1|X1)+Hd(X2,X1).

    Then ρgH(Γ(X2,f2),Γ(X1,f1))=ρkH(ψf2|X2,ψf1|X1).

    Definition 8. Given Γ(X0,f)GX. A nonempty closed subset eN(Γ(X0,f)) is said to be a strongly essential set of N(Γ(X0,f)) with respect to ρgH, if ϵ>0, there exists δ>0 such that N(Γ(X,f))[e+Bε(0)] for any Γ(X,f)GX with ρgH(Γ(X,f),Γ(X0,f))<δ. And if a component C of N(Γ(X0,f)) is a strongly essential set of N(Γ(X,f)), then C is called a strongly essential component of N(Γ(X0,f)).

    By Theorem 2 and Definition 8, we can deduce the existence of strongly essential component of weakly Pareto-Nash equilibrium for multi-objective games.

    Theorem 3. For each Γ(X0,f)GX, N(Γ(X0,f)) has at least one strongly essential component with respect to ρgH.

    Proof. For each Γ(X0,f)GX, then ψf|X0FX. By Theorem 2, FK(ψf|X0) has at least one strongly essential component denoted by Cα. Then ϵ>0, there exists δ>0, such that FK(ψf|X)[Cα+Bϵ(0)] for any ψf|XFX with ρkH(ψf|X,ψf|X0)<δ.

    Moreover, for any Γ(X,f)GX with ρgH(Γ(X,f),Γ(X0,f))<δ, we have ψf|XFX and ρkH(ψf|X,ψf|X0)=ρgH(Γ(X,f),Γ(X0,f))<δ, and then FK(ψf|X)[Cα+Bϵ(0)], which means that N(Γ(X,f))[Cα+Bε(0)]. By Definition 8, we have that Cα is a strongly essential component of N(Γ(X0,f)) with respect to ρgH.

    Remark 7. (1) For multi-objective games, the perturbation based on ρgH includes not only the perturbations of vector-valued payoff functions but also the perturbation of strategy sets. Here, the strategy set of i-th player shifts from Xi to Xi and the vector-valued payoff functions from fi to fi generated from the uncertainty in strategy choices.

    (2) Also, if the perturbation of strategy need not be considered in multi-objective game, that is, X=X0=X, then

    ρgH(Γ(X,f),Γ(X,f))=ρkH(ψf,ψf)

    By (2) of Corollary 1, we have

    ρgH(Γ(X,f),Γ(X,f))=ρkH(ψf,ψf)ρ1(ψf,ψf)=ρ2(Γ(X,f),Γ(X,f)).

    Then a strongly essential component C of N(Γ(X,f)) with respect to ρgH must be a essential component with respect to ρ2, and hence C has stronger stability. Moreover, by (3) of Corollary 1 and ρm(Γ(X,f),Γ(X,g))=ρm(ψf,ψg), the result also holds for ρm(Γ(X,f),Γ(X,f)).

    In this paper, the existence of strongly essential components of the solution set for Ky Fan's section problems and vector Ky Fan's point problems are studied. Firstly, we propose two kinds of stronger perturbations for Ky Fan's section problems and the problems (VKF) defined by the Hausdorff semi-metric of graphic and section mapping respectively. By comparing the relationships among various metrics to obtain some strong and weak relations among these perturbations (see, Proposition 1, 2 and Corollary 1), and some further results on existence of the strongly essential component of solutions set of Ky Fan's section problems are obtained (see, Theorem 1, Corollary 2). In Theorem 1, we investigate the more general case where the initial set X0CK(X) is arbitrary for problem A|X0AX, and the perturbation of the set variation is also arbitrary. But the Theorem 3.1 in [22] only considers the special case in which the initial set is always the total space X, and the perturbation of the set variation can only be reduced inward to XCK(X). Therefore, Theorem 1 actually generalizes the conclusion of Theorem 3.1 in [22]. In fact, Theorem 3.1 in [22] is just the special case of Theorem 1 when X0X. Besides, by Corollary 1, we immediately take the Theorem 3.1 in [21] and the Theorem 3.3 in [28] as its special cases. Secondly, based on the above results, two kinds of stronger perturbations of vector-valued inequality functions is proposed by means of the Hausdorff upper semi-metric of graphic and section mapping of problems (VKF) respectively, and several existence results of the strongly essential component of set of vector Ky Fan's points are obtained (see, Theorem 2, Corollary 3 and 4). Finally, as an application, we use the equivalence of weakly Pareto-Nash equilibrium with vector Ky Fan's points to obtain the existence of the strongly essential component of weakly Pareto-Nash equilibrium for multiobjective games, which provide a method to investigate the stability of set of weakly Pareto-Nash equilibrium for multiobjective games with respect to general perturbation of strategic set.

    This work was completed with the support of the National Natural Science Foundation of China (Grant 11861025, 11761023, 71961003), Ph.D. Programs Foundation of the Ministry of Education of China (20115201110002), the Program for the Outstanding Science and Technology Innovative Talents of Higher Education of Guizhou(Qian Jiao He KY Zhi 2017[081]), and the Natural Science Foundation of Guizhou Province (Qian Ke He[2018]5769, [2017]5788, LH [2017]7223), the Talent Introduction foundation of Guizhou University ([2019]49).

    The authors declare that there is no conflict of interest regarding the publication of this paper.



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