EXPLORING STATISTICAL CONVERGENCE VIA IDEALS IN METRIC-LIKE SPACES

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dc.contributor.authorGürdal, Mehmet
dc.contributor.authorKı?şı?, Ömer
dc.date.accessioned2026-02-22T11:44:12Z
dc.date.created2025
dc.date.issued2025
dc.departmentFakülteler, Fen Fakültesi, Matematik Bölümü
dc.description.abstractThis work defines and examines the concepts of I-statistical convergence and I-statistical Cauchyness for sequences in a metric-like space. We also examine the I-statistical limit points and cluster points of these sequences, exploring their fundamental properties and the relationships between the sets of all I-statistical limit and cluster points in the context of a metric-like space. © 2025, Gakko Tosho Co. Ltd.. All rights reserved.
dc.identifier.endpage457
dc.identifier.issn1343-4373
dc.identifier.issue1
dc.identifier.scopus2-s2.0-105022941434
dc.identifier.scopusqualityQ4
dc.identifier.startpage439
dc.identifier.urihttps://hdl.handle.net/11772/27019
dc.identifier.volume34
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherGakko Tosho Co. Ltd.
dc.relation.ispartofAdvances in Mathematical Sciences and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260218
dc.subjectI-statistical cluster points
dc.subjectI-statistical limit points
dc.subjectMetric-like space
dc.titleEXPLORING STATISTICAL CONVERGENCE VIA IDEALS IN METRIC-LIKE SPACES
dc.typeArticle
dspace.entity.typePublication

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