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On Cluster Points, Continuity, and Boundedness Associated with the Generalized Statistical Convergence in Probabilistic Normed Spaces

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dc.contributor.authorDas, Pratulananda
dc.contributor.authorDutta, Kaustubh
dc.contributor.authorKarakaya, Vatan
dc.date.accessioned2026-06-27T13:30:09Z
dc.date.issued2014
dc.description.abstractWe consider the recently introduced notion of I-statistical convergence (Das, Savas and Ghosal, Appl. Math. Lett., 24(9) (2011), 1509-1514, Savas and Das, Appl. Math. Lett. 24(6) (2011), 826-830) in probabilistic normed spaces and in the following (Sencimen and Pehlivan (2008 vol. 26, 2008 vol. 87, 2009)) we introduce the notions like strong I-statistical cluster points and extremal limit points, and strong I-statistical continuity and strong I-statistical D-boundedness in probabilistic normed spaces and study some of their important properties.en
dc.description.sponsorshipCouncil of Scientific and Industrial Research, HRDG, India [25(0186)/10/EMR-II]
dc.description.urihttps://doi.org/10.1155/2014/909364
dc.identifier.doi10.1155/2014/909364
dc.identifier.eissn1687-0409
dc.identifier.issn1085-3375
dc.identifier.urihttps://hdl.handle.net/20.500.14981/53279
dc.identifier.wos000335823600001
dc.language.isoeng
dc.publisherHINDAWI LTD
dc.relation.ispartofABSTRACT AND APPLIED ANALYSIS
dc.rightsopenAccess
dc.subjectIDEAL CONVERGENCE
dc.subjectSEQUENCES
dc.subjectMathematics
dc.titleOn Cluster Points, Continuity, and Boundedness Associated with the Generalized Statistical Convergence in Probabilistic Normed Spaces
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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