Multidimensional Asymptotically Deferred Statistical Equivalent Measurable Functions

dc.contributor.authorSavaş, Rabia
dc.date.accessioned2025-05-10T15:21:37Z
dc.date.issued2022
dc.departmentİstanbul Medeniyet Üniversitesi
dc.description5th International Conference of Mathematical Sciences, ICMS 2021 -- 23 June 2021 through 27 June 2021 -- Istanbul -- 184127
dc.description.abstractIn 1932 Agnew presented the concept of deferred Cesáro means. Following Agnew's results, Küçükaslan and Yılmaztürk introduced the definition of deferred statistical convergence for sequences. Also, Patterson studied the notion of asymptotically equivalent sequences. In 2020, Savas generalized Patterson's definition for measurable functions by considering the concept of deferred statistical convergence. The goal of this article is to extend Savas results to higher dimension. To accomplish this we introduce the concepts of double asymptotically deferred statistical equivalence and double strongly asymptotically deferred statistical equivalence in the Pringsheim sense by using two nonnegative bivariate measurable real valued functions on (1, ?) × (1, ?). Additionally, we examine some important results. © 2022 American Institute of Physics Inc.. All rights reserved.
dc.identifier.doi10.1063/5.0121277
dc.identifier.isbn978-073544258-0
dc.identifier.issn0094-243X
dc.identifier.scopus2-s2.0-85142543899
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://doi.org/10.1063/5.0121277
dc.identifier.urihttps://hdl.handle.net/20.500.14730/6079
dc.identifier.volume2483
dc.indekslendigikaynakScopus
dc.institutionauthorSavaş, Rabia
dc.language.isoen
dc.publisherAmerican Institute of Physics Inc.
dc.relation.ispartofAIP Conference Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250302
dc.subjectDeferred statistical convergence; double asymptotically statistical equivalent; measurable functions
dc.titleMultidimensional Asymptotically Deferred Statistical Equivalent Measurable Functions
dc.typeConference Object

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