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arXiv · 2007.09173

On strong {\lambda}-statistical convergence of sequences in probabilistic metric (pm) spaces

Prasanta Malik·Samiran Das
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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.

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BibTeXRIS

Prasanta Malik, Samiran Das. 2020-07-17. On strong {\lambda}-statistical convergence of sequences in probabilistic metric (pm) spaces. https://arxiv.org/abs/2007.09173

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