Matrix summability of statistically p-convergence sequences

dc.authoridTR10766en_US
dc.contributor.authorPatterson, Richard F.
dc.contributor.authorSavaş, Ekrem
dc.date.accessioned2015-09-11T13:19:58Z
dc.date.available2015-09-11T13:19:58Z
dc.date.issued2011en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractMatrix summability is arguable the most important tool used to characterize sequence spaces. In 1993 Kolk presented such a characterization for statistically convergent sequence space using nonnegative regular matrix. The goal of this paper is extended Kolk's results to double sequence spaces via four dimensional matrix transformation. To accomplish this goal we begin by presenting the following multidimensional analog of Kolk's Theorem : Let X be a section-closed double sequence space containing e '' and Y an arbitrary se, quence space. Then B is an element of (st(A)(2) boolean AND X, Y) if and only if B is an element of (c '' boolean AND X, Y) and B-[KxK] is an element of (X, Y) (delta(A) (K x K) = 0). In addition, to this result we shall also present implication and variation of this theorem.en_US
dc.identifier.endpage62en_US
dc.identifier.issn0354-5180
dc.identifier.issue4
dc.identifier.scopus2-s2.0-79960814775en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage55en_US
dc.identifier.urihttps://hdl.handle.net/11467/1169
dc.identifier.urihttp://dx.doi.org/10.2298/FIL1104055P
dc.identifier.volume25en_US
dc.identifier.wosWOS:000297198500005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUniv Nisen_US
dc.relation.ispartofFilomaten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectP-Convergenten_US
dc.subjectMatrix Transformation
dc.subjectStatistical Convergence
dc.titleMatrix summability of statistically p-convergence sequencesen_US
dc.typeArticleen_US

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