On strong {\lambda}-statistical convergence of sequences in probabilistic metric (pm) spaces
Functional Analysis
2020-07-21 v1
Abstract
In this paper we study some basic properties of strong {\lambda}- statistical convergence of sequences in probabilistic metric (PM) spaces. We also introduce and study the notion of strong {\lambda}-statistically Cauchyness. Further introducing the notions of strong {\lambda}-statistical limit point and strong {\lambda}-statistical cluster point of a sequence in a probabilistic metric (PM) space we examine their interrelationship.
Cite
@article{arxiv.2007.09173,
title = {On strong {\lambda}-statistical convergence of sequences in probabilistic metric (pm) spaces},
author = {Prasanta Malik and Samiran Das},
journal= {arXiv preprint arXiv:2007.09173},
year = {2020}
}