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Article . 2014
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Statistical convergence on probabilistic modular spaces

Authors: Orhan, Sevda; Dirik, Fadime; Demirci, Kamil;

Statistical convergence on probabilistic modular spaces

Abstract

Summary: We introduce the concepts of statistical convergence and statistical Cauchy sequence on probabilistic modular spaces. After giving some useful characterizations for statistically convergent sequences, we display an example such that our method of convergence works but its classical case does not work. Also we define statistical limit points, statistical cluster points on probabilistic modular spaces. Finally, we give the relations between these notions and limit points of sequences on probabilistic modular spaces.

Country
Turkey
Related Organizations
Keywords

Functional analysis in probabilistic metric linear spaces, natural density, modular space, probabilistic modular space, statistical convergence, Ideal and statistical 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!
0
Average
Average
Average
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