Rough I-statistical convergence of sequences
Prasanta Malik, Manojit Maity, Argha Ghosh

TL;DR
This paper introduces the concept of rough I-statistical convergence in normed linear spaces, expanding the framework of I-statistical convergence by incorporating rough limits and exploring their topological properties.
Contribution
It extends the existing notion of I-statistical convergence to include rough limits and analyzes their topological characteristics in normed linear spaces.
Findings
Defined the set of rough I-statistical limits of a sequence.
Explored topological properties of the set of rough I-statistical limits.
Extended the theory of I-statistical convergence with roughness concepts.
Abstract
The concept of I-statistical convergence of sequence was first defined by Das et.al [2]. In this paper we introduce and study the notion of rough I-statistical convergence of sequence in normed linear Spaces. We also define the set of rough I-statistical limits of a sequence and discuss some topological properties of this set.
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Taxonomy
TopicsApproximation Theory and Sequence Spaces · Mathematical Approximation and Integration · Fuzzy and Soft Set Theory
