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Perturbed Statistical Convergence

dc.contributor.author Yalçin, Ceylan
dc.date.accessioned 2025-10-06T17:40:16Z
dc.date.available 2025-10-06T17:40:16Z
dc.date.issued 2025
dc.description.abstract This paper examines the basic features of perturbed statistical convergence in the context of perturbed metric spaces. The suggested method expands on the standard concept of statistical convergence by using a perturbation function that shows the errors that might happen while measuring distance. The relations of this new type of convergence with classical and statistical convergence are discussed in detail. There are some examples and counterexamples that support the new theoretical results. © 2025 Elsevier B.V., All rights reserved.
dc.identifier.doi 10.31838/rna/2025.08.02.023
dc.identifier.issn 2636-7556
dc.identifier.scopus 2-s2.0-105015096034
dc.identifier.uri https://doi.org/10.31838/rna/2025.08.02.023
dc.identifier.uri https://hdl.handle.net/20.500.12416/15677
dc.language.iso en
dc.publisher Erdal Karapınar
dc.relation.ispartof Results in Nonlinear Analysis
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Metric Spaces
dc.subject Perturbed Metric Spaces
dc.subject Statistical Convergence
dc.title Perturbed Statistical Convergence
dc.type Article
dspace.entity.type Publication
gdc.author.institutional Yalçin, Ceylan
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gdc.description.department Çankaya University
gdc.description.departmenttemp [Yalçin] Ceylan, Department of Mathematics, Çankaya Üniversitesi, Ankara, Turkey
gdc.description.endpage 313
gdc.description.issue 2
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.scopusquality Q3
gdc.description.startpage 305
gdc.description.volume 8
gdc.description.wosquality N/A
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gdc.virtual.author Yalçın, Ceylan
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