Rough statistical convergence of sequences in a partial metric space

Fuente: arXiv
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Hauptverfasser: khatun, Sukila, Banerjee, Amar Kumar
Format: Preprint
Veröffentlicht: 2024
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author khatun, Sukila
Banerjee, Amar Kumar
author_facet khatun, Sukila
Banerjee, Amar Kumar
contents In this paper, using the concept of natural density, we have introduced the notion of rough statistical convergence which is an extension of the notion of rough convergence in a partial metric space. We have defined the set of rough statistical limit points of a sequence in a partial metric space and proved that this set is closed and bounded. Finally, we have found out the relationship between the set of statistical cluster points and the set of rough statistical limit points of sequences in a partial metric space.
format Preprint
id arxiv_https___arxiv_org_abs_2402_14452
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Rough statistical convergence of sequences in a partial metric space
khatun, Sukila
Banerjee, Amar Kumar
General Topology
40A05, 40A99
In this paper, using the concept of natural density, we have introduced the notion of rough statistical convergence which is an extension of the notion of rough convergence in a partial metric space. We have defined the set of rough statistical limit points of a sequence in a partial metric space and proved that this set is closed and bounded. Finally, we have found out the relationship between the set of statistical cluster points and the set of rough statistical limit points of sequences in a partial metric space.
title Rough statistical convergence of sequences in a partial metric space
topic General Topology
40A05, 40A99
url https://arxiv.org/abs/2402.14452