On statistical convergence in quasi-metric spaces

A quasi-metric is a distance function which satisfies the triangle inequality but is not symmetric in general. Quasi-metrics are a subject of comprehensive investigation both in pure and applied mathematics in areas such as in functional analysis, topology and computer science. The main purpose of t...

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Main Authors: İlkhan Merve, Kara Emrah Evren
Format: Article
Language:English
Published: De Gruyter 2019-06-01
Series:Demonstratio Mathematica
Subjects:
Online Access:https://doi.org/10.1515/dema-2019-0019
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spelling doaj-bb0c5ac117ea4616b1fd3d962c58d7b52021-07-01T05:21:52ZengDe GruyterDemonstratio Mathematica2391-46612019-06-0152122523610.1515/dema-2019-0019dema-2019-0019On statistical convergence in quasi-metric spacesİlkhan Merve0Kara Emrah Evren1Düzce University, Faculty of Arts and Sciences, Department of Mathematics, 81620, Düzce, TurkeyDüzce University, Faculty of Arts and Sciences, Department of Mathematics, 81620, Düzce, TurkeyA quasi-metric is a distance function which satisfies the triangle inequality but is not symmetric in general. Quasi-metrics are a subject of comprehensive investigation both in pure and applied mathematics in areas such as in functional analysis, topology and computer science. The main purpose of this paper is to extend the convergence and Cauchy conditions in a quasi-metric space by using the notion of asymptotic density. Furthermore, some results obtained are related to completeness, compactness and precompactness in this setting using statistically Cauchy sequences.https://doi.org/10.1515/dema-2019-0019quasi-metric spaceasymptotic densitystatistical convergenceforward and backward cauchy sequencesp54a0554e5040g15
collection DOAJ
language English
format Article
sources DOAJ
author İlkhan Merve
Kara Emrah Evren
spellingShingle İlkhan Merve
Kara Emrah Evren
On statistical convergence in quasi-metric spaces
Demonstratio Mathematica
quasi-metric space
asymptotic density
statistical convergence
forward and backward cauchy sequences
p54a05
54e50
40g15
author_facet İlkhan Merve
Kara Emrah Evren
author_sort İlkhan Merve
title On statistical convergence in quasi-metric spaces
title_short On statistical convergence in quasi-metric spaces
title_full On statistical convergence in quasi-metric spaces
title_fullStr On statistical convergence in quasi-metric spaces
title_full_unstemmed On statistical convergence in quasi-metric spaces
title_sort on statistical convergence in quasi-metric spaces
publisher De Gruyter
series Demonstratio Mathematica
issn 2391-4661
publishDate 2019-06-01
description A quasi-metric is a distance function which satisfies the triangle inequality but is not symmetric in general. Quasi-metrics are a subject of comprehensive investigation both in pure and applied mathematics in areas such as in functional analysis, topology and computer science. The main purpose of this paper is to extend the convergence and Cauchy conditions in a quasi-metric space by using the notion of asymptotic density. Furthermore, some results obtained are related to completeness, compactness and precompactness in this setting using statistically Cauchy sequences.
topic quasi-metric space
asymptotic density
statistical convergence
forward and backward cauchy sequences
p54a05
54e50
40g15
url https://doi.org/10.1515/dema-2019-0019
work_keys_str_mv AT ilkhanmerve onstatisticalconvergenceinquasimetricspaces
AT karaemrahevren onstatisticalconvergenceinquasimetricspaces
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