Nonlinear analysis by applying best approximation method in p-vector spaces

Abstract It is known that the class of p-vector spaces ( 0 < p ≤ 1 ) $(0 < p \leq 1)$ is an important generalization of the usual norm spaces with rich topological and geometrical structure, but most tools and general principles with nature in nonlinearity have not been developed yet. The goal...

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Main Author: George Xianzhi Yuan
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Fixed Point Theory and Algorithms for Sciences and Engineering
Subjects:
Online Access:https://doi.org/10.1186/s13663-022-00730-x
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author George Xianzhi Yuan
author_facet George Xianzhi Yuan
author_sort George Xianzhi Yuan
collection DOAJ
description Abstract It is known that the class of p-vector spaces ( 0 < p ≤ 1 ) $(0 < p \leq 1)$ is an important generalization of the usual norm spaces with rich topological and geometrical structure, but most tools and general principles with nature in nonlinearity have not been developed yet. The goal of this paper is to develop some useful tools in nonlinear analysis by applying the best approximation approach for the classes of 1-set contractive set-valued mappings in p-vector spaces. In particular, we first develop general fixed point theorems of compact (single-valued) continuous mappings for closed p-convex subsets, which also provide an answer to Schauder’s conjecture of 1930s in the affirmative way under the setting of topological vector spaces for 0 < p ≤ 1 $0 < p \leq 1$ . Then one best approximation result for upper semicontinuous and 1-set contractive set-valued mappings is established, which is used as a useful tool to establish fixed points of nonself set-valued mappings with either inward or outward set conditions and related various boundary conditions under the framework of locally p-convex spaces for 0 < p ≤ 1 $0 < p \leq 1$ . In addition, based on the framework for the study of nonlinear analysis obtained for set-valued mappings with closed p-convex values in this paper, we conclude that development of nonlinear analysis and related tools for singe-valued mappings in locally p-convex spaces for 0 < p ≤ 1 $0 < p \leq 1$ seems even more important, and can be done by the approach established in this paper.
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spelling doaj.art-26eb4b7ff84c43b2aed0cf63d3adc0a52022-12-22T04:31:55ZengSpringerOpenFixed Point Theory and Algorithms for Sciences and Engineering2730-54222022-10-012022114510.1186/s13663-022-00730-xNonlinear analysis by applying best approximation method in p-vector spacesGeorge Xianzhi Yuan0Business School, Chengdu UniversityAbstract It is known that the class of p-vector spaces ( 0 < p ≤ 1 ) $(0 < p \leq 1)$ is an important generalization of the usual norm spaces with rich topological and geometrical structure, but most tools and general principles with nature in nonlinearity have not been developed yet. The goal of this paper is to develop some useful tools in nonlinear analysis by applying the best approximation approach for the classes of 1-set contractive set-valued mappings in p-vector spaces. In particular, we first develop general fixed point theorems of compact (single-valued) continuous mappings for closed p-convex subsets, which also provide an answer to Schauder’s conjecture of 1930s in the affirmative way under the setting of topological vector spaces for 0 < p ≤ 1 $0 < p \leq 1$ . Then one best approximation result for upper semicontinuous and 1-set contractive set-valued mappings is established, which is used as a useful tool to establish fixed points of nonself set-valued mappings with either inward or outward set conditions and related various boundary conditions under the framework of locally p-convex spaces for 0 < p ≤ 1 $0 < p \leq 1$ . In addition, based on the framework for the study of nonlinear analysis obtained for set-valued mappings with closed p-convex values in this paper, we conclude that development of nonlinear analysis and related tools for singe-valued mappings in locally p-convex spaces for 0 < p ≤ 1 $0 < p \leq 1$ seems even more important, and can be done by the approach established in this paper.https://doi.org/10.1186/s13663-022-00730-xNonlinear analysisBest approximationFixed pointsSchauder conjecturep-convexp-vector space
spellingShingle George Xianzhi Yuan
Nonlinear analysis by applying best approximation method in p-vector spaces
Fixed Point Theory and Algorithms for Sciences and Engineering
Nonlinear analysis
Best approximation
Fixed points
Schauder conjecture
p-convex
p-vector space
title Nonlinear analysis by applying best approximation method in p-vector spaces
title_full Nonlinear analysis by applying best approximation method in p-vector spaces
title_fullStr Nonlinear analysis by applying best approximation method in p-vector spaces
title_full_unstemmed Nonlinear analysis by applying best approximation method in p-vector spaces
title_short Nonlinear analysis by applying best approximation method in p-vector spaces
title_sort nonlinear analysis by applying best approximation method in p vector spaces
topic Nonlinear analysis
Best approximation
Fixed points
Schauder conjecture
p-convex
p-vector space
url https://doi.org/10.1186/s13663-022-00730-x
work_keys_str_mv AT georgexianzhiyuan nonlinearanalysisbyapplyingbestapproximationmethodinpvectorspaces