STATISTICAL CONVERGENCE IN TOPOLOGICAL SPACE CONTROLLED BY MODULUS FUNCTION

The notion of \(f\)-statistical convergence in topological space, which is actually a statistical convergence's generalization under the influence of unbounded modulus function is presented and explored in this paper. This provides as an intermediate between statistical and typical convergence. We also present many counterexamples to highlight the distinctions among several related topological features. Lastly, this paper is concerned with the notions of \(s^{f}\)-limit point and \(s^{f}\)-cluster point for a unbounded modulus function \(f\).

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Publication Details

Journal
Ural mathematical journal
Published
2024-12-28
DOI
https://doi.org/10.15826/umj.2024.2.005
Citations
3
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
1.04
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article

STATISTICAL CONVERGENCE IN TOPOLOGICAL SPACE CONTROLLED BY MODULUS FUNCTION

Prasenjit Bal, Susmita Sarkar, Pramod Kumar Das
3 citations
Ural mathematical journal
Neural Networks and Applications
1.04
article

STATISTICAL CONVERGENCE IN TOPOLOGICAL SPACE CONTROLLED BY MODULUS FUNCTION

Prasenjit Bal, Susmita Sarkar, Pramod Kumar Das
article en
3 citations

Abstract

The notion of \(f\)-statistical convergence in topological space, which is actually a statistical convergence's generalization under the influence of unbounded modulus function is presented and explored in this paper. This provides as an intermediate between statistical and typical convergence. We also present many counterexamples to highlight the distinctions among several related topological features. Lastly, this paper is concerned with the notions of \(s^{f}\)-limit point and \(s^{f}\)-cluster point for a unbounded modulus function \(f\).

Ural mathematical journalVol. 10(2)
ICFAI University, Tripura (IN)
Reduced inequalities
Openalex Percentile: Top 18%
Neural Networks and Applications
1.04
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