Applications of Fell Topology to Closed Set-Valued Optimizations in Partially Ordered First Countable Topological Vector Spaces

IF 1.4 4区 数学 Q2 MATHEMATICS, APPLIED
Jinlu Li
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引用次数: 0

Abstract

Abstract Let (X, ) be a topological vector space equipped with a partial order which is induced by a nonempty pointed closed and convex cone K in X. Let (X) = 2 X be the power set of X and (X) = 2 X \{ }. In this paper, we consider the so called upward preordering on (X), which has been used by many authors (see [4 7, 9, 11 14, 18 19]). We first prove some properties of this ordering relation Let (X) denote the collection of all -closed subsets of X and (X) = (X)\{ }, which is equipped with the Fell topology Let C be a nonempty subset of X and let F: C (X) be a closed set-valued mapping. By applying the Fell topology on (X) and the Fan-KKM Theorem, we prove some existence theorems for some -minimization and -maximization problems with respect to F subject to the subset C for first countable topological vector spaces. These results will be applied to solve some closed ball-valued optimization problems in partially ordered Hilbert spaces. Some examples will be provided in
倒拓扑在部分有序第一可数拓扑向量空间闭集值优化中的应用
摘要设(X,)是一个拓扑向量空间,具有由X中的非空尖闭凸锥K诱导的偏序。设(X)=2 X是X的幂集,(X)=2X。在本文中,我们考虑了许多作者使用的(X)上的所谓向上预购(参见[4 7,9,11 14,18 19])。我们首先证明了这个序关系的一些性质——设(X)表示X和(X)=(X)的所有闭子集的集合,它配备了Fell拓扑——设C是X的非空子集,设F:C(X)是闭集值映射。利用(X)上的Fell拓扑和范KKM定理,证明了第一可数拓扑向量空间中关于子集C的F的一些-最小化和-最大化问题的存在性定理。这些结果将应用于求解偏序希尔伯特空间中的一些闭球值优化问题。中提供了一些示例
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来源期刊
CiteScore
2.40
自引率
8.30%
发文量
74
审稿时长
6-12 weeks
期刊介绍: Numerical Functional Analysis and Optimization is a journal aimed at development and applications of functional analysis and operator-theoretic methods in numerical analysis, optimization and approximation theory, control theory, signal and image processing, inverse and ill-posed problems, applied and computational harmonic analysis, operator equations, and nonlinear functional analysis. Not all high-quality papers within the union of these fields are within the scope of NFAO. Generalizations and abstractions that significantly advance their fields and reinforce the concrete by providing new insight and important results for problems arising from applications are welcome. On the other hand, technical generalizations for their own sake with window dressing about applications, or variants of known results and algorithms, are not suitable for this journal. Numerical Functional Analysis and Optimization publishes about 70 papers per year. It is our current policy to limit consideration to one submitted paper by any author/co-author per two consecutive years. Exception will be made for seminal papers.
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