p-向量空间中不动点定理及相关非线性分析的最佳逼近方法

IF 1.4 4区 数学 Q2 MATHEMATICS, APPLIED
G. Yuan
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引用次数: 2

摘要

摘要本文的目的是通过应用局部p-凸或p-向量空间中半闭1-集压缩集值映射类的最佳逼近方法,为非线性分析开发一些新的有用工具,我们首先给出了集值和单值凝聚映射的一般不动点定理,这些定理在(局部p-凸)p-向量空间的设置下以肯定的方式回答了Schauder猜想,然后建立了上半连续和1-集压缩集值的最佳逼近结果,它们被用作在各种情况下为具有内集或外集条件的非自集值映射建立一些新的不动点的工具。这些结果统一或改进了现有非线性分析文献中的相应结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fixed Point Theorem and Related Nonlinear Analysis by the Best Approximation Method in p-Vector Spaces
Abstract The goal of this paper is to develop some new and useful tools for nonlinear analysis by applying the best approximation approach for classes of semiclosed 1-set contractive set-valued mappings in locally p-convex or p-vector spaces for In particular, we first develop general fixed point theorems for both set-valued and single-valued condensing mappings which provide answers to the Schauder conjecture in the affirmative way under the setting of (locally p-convex) p-vector spaces, then the best approximation results for upper semi-continuous and 1-set contractive set-valued are established, which are used as tools to establish some new fixed points for non-self set-valued mappings with either inward or outward set conditions under various situations. These results unify or improve corresponding results in the existing literature for nonlinear analysis.
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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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