{"title":"Perturbation Method in Orlicz Sequence Spaces","authors":"","doi":"10.1007/s11228-024-00715-5","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>We develop a new perturbation method in Orlicz sequence spaces <span> <span>\\(\\ell _{M}\\)</span> </span> with Orlicz function <span> <span>\\(M\\)</span> </span> satisfying <span> <span>\\(\\Delta _{2}\\)</span> </span> condition at zero. This result allows one to support from below any bounded below lower semicontinuous function with bounded support, with a perturbation of the defining function <span> <span>\\(\\sigma _{M}\\)</span> </span>.</p> <p>We give few examples how the method can be used for determining the type of the smoothness of certain Orlicz spaces.</p>","PeriodicalId":49537,"journal":{"name":"Set-Valued and Variational Analysis","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Set-Valued and Variational Analysis","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s11228-024-00715-5","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
We develop a new perturbation method in Orlicz sequence spaces \(\ell _{M}\) with Orlicz function \(M\) satisfying \(\Delta _{2}\) condition at zero. This result allows one to support from below any bounded below lower semicontinuous function with bounded support, with a perturbation of the defining function \(\sigma _{M}\).
We give few examples how the method can be used for determining the type of the smoothness of certain Orlicz spaces.
期刊介绍:
The scope of the journal includes variational analysis and its applications to mathematics, economics, and engineering; set-valued analysis and generalized differential calculus; numerical and computational aspects of set-valued and variational analysis; variational and set-valued techniques in the presence of uncertainty; equilibrium problems; variational principles and calculus of variations; optimal control; viability theory; variational inequalities and variational convergence; fixed points of set-valued mappings; differential, integral, and operator inclusions; methods of variational and set-valued analysis in models of mechanics, systems control, economics, computer vision, finance, and applied sciences. High quality papers dealing with any other theoretical aspect of control and optimization are also considered for publication.