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Journal of Inequalities and Applications
Article
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Afyon Kocatepe Üniversitesi Açık Erişim Sistemi
Article . 2018
Data sources: Afyon Kocatepe Üniversitesi Açık Erişim Sistemi
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Afyon Kocatepe Üniversitesi Açık Erişim Sistemi
Article . 2018
Data sources: Afyon Kocatepe Üniversitesi Açık Erişim Sistemi
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Claim

Rough I 2 -lacunary statistical convergence of double sequences.

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2018 Turkey English Publisher:SpringeropenJournal:Journal of inequalities and applications, volume 2,018 (issn: 1025-5834, Copyright policy )
Authors: Kişi, Ömer; Dündar, Erdinç;

pmid: 30839673

pmc: PMC6132385

handle: 11630/7896

Rough I 2 -lacunary statistical convergence of double sequences.

Abstract

In this paper, we introduce and study the notion of rough I 2 -lacunary statistical convergence of double sequences in normed linear spaces. We also introduce the notion of rough I 2 -lacunary statistical limit set of a double sequence and discuss some properties of this set.

Country
Turkey
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Keywords

Lacunary Sequences, analysis, Statistical convergence, Double Sequence, Lacunary sequences, Rough Convergence, I_2-Convergence, Double sequences, I-convergence, Rough convergence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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