Strong $I$ AND $I^*$-statistically pre-Cauchy double sequences in Probabilistic Metric Spaces
Prasanta Malik, Argha Ghosh, Manojit Maity

TL;DR
This paper introduces and studies new types of pre-Cauchy double sequences in probabilistic metric spaces, focusing on strong $I$- and $I^*$-statistical properties and their interrelationships.
Contribution
It proposes the concepts of strong $I^*$-statistically pre-Cauchy double sequences and explores their connections with existing convergence and pre-Cauchy notions in probabilistic metric spaces.
Findings
Established relationships among strong $I$-statistical convergence, pre-Cauchy, and $I^*$-pre-Cauchy conditions.
Defined new classes of sequences in probabilistic metric spaces.
Analyzed basic properties of these sequence classes.
Abstract
In this paper we consider the notion of strong -statistically pre-Cauchy double sequences in probabilistic metric spaces in line of Das et. al. [6] and introduce the new concept of strong -statistically pre-Cauchy double sequences in real line as well as in probabilistic metric spaces. We mainly study inter relationship among strong -statistical convergence, strong -statistical pre-Cauchy condition and strong -statistical pre-Cauchy condition for double sequences in probabilistic metric spaces and examine some basic properties of these notions.
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Taxonomy
TopicsApproximation Theory and Sequence Spaces · Fixed Point Theorems Analysis · Advanced Harmonic Analysis Research
