A study on strong AI-statistical convergence of sequences in probabilistic metric spaces-Reference-Cited by-同舟云学术

A study on strong AI-statistical convergence of sequences in probabilistic metric spaces

Published:2023-06-30 Issue:1 Volume:50 Page:99-115
ISSN:1223-6934
Container-title:Annals of the University of Craiova Mathematics and Computer Science Series
language:
Short-container-title:AUCMCS

Author:

Malik Prasanta^ORCID, ,Das Samiran,

Abstract

In this paper using a non-negative regular summability matrix A and a non-trivial admissible ideal I in N we study some basic properties of strong AI-statistical convergence and strong AI-statistical Cauchyness of sequences in probabilistic metric spaces not done earlier. We also introduce the notion of strong AI∗-statistical Cauchyness and study its relationship with strong AI-statistical Cauchyness. Further we study some basic properties of strong AI-statistical limit points and strong AI-statistical cluster points of a sequence in probabilistic metric spaces.

Publisher

University of Craiova

Subject

Computer Science Applications,General Mathematics

Reference41 articles.

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