{"title":"Covering Constants for Metric Projection Operator with Applications to Stochastic Fixed-Point Problems","authors":"Jinlu Li","doi":"arxiv-2409.01511","DOIUrl":null,"url":null,"abstract":"In this paper, we use the Mordukhovich derivatives to precisely find the\ncovering constants for the metric projection operator onto nonempty closed and\nconvex subsets in uniformly convex and uniformly smooth Banach spaces. We\nconsider three cases of the subsets: closed balls in uniformly convex and\nuniformly smooth Banach spaces, closed and convex cylinders in l, and the\npositive cone in L, for some p. By using Theorem 3.1 in [2] and as applications\nof covering constants obtained in this paper, we prove the solvability of some\nstochastic fixed-point problems. We also provide three examples with specific\nsolutions of stochastic fixed-point problems.","PeriodicalId":501036,"journal":{"name":"arXiv - MATH - Functional Analysis","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Functional Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.01511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we use the Mordukhovich derivatives to precisely find the
covering constants for the metric projection operator onto nonempty closed and
convex subsets in uniformly convex and uniformly smooth Banach spaces. We
consider three cases of the subsets: closed balls in uniformly convex and
uniformly smooth Banach spaces, closed and convex cylinders in l, and the
positive cone in L, for some p. By using Theorem 3.1 in [2] and as applications
of covering constants obtained in this paper, we prove the solvability of some
stochastic fixed-point problems. We also provide three examples with specific
solutions of stochastic fixed-point problems.