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Journals / Hacettepe Journal of Mathematics and Statistics / 2018 / Cilt: 47 - Sayı: 4

Statistical convergence of sequences of sets in hyperspaces

Mehmet ÜNVER
Sevda SAĞİROĞLU
Pages
889–896
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this paper, by considering the well known topologies on hyperspaces, we investigate the characterizations of statistical convergence of sequences of sets in the realm of these structures.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The concept of statistical convergence in an arbitrary topological space is nothing new, it is actually a self-evident concept that comes through the structure of that space.
📊
Key Findings & Data:The concept of statistical convergence in an arbitrary topological space is nothing new, it is actually a self-evident concept that comes through the structure of that space.
💡
Conclusion & Impact:In this paper, by considering the well known topologies on hyperspaces, we investigate the characterizations of statistical convergence of sequences of sets in the realm of these structures.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Hyperspaces · weak topologies · statistical convergence

Abstract

The concept of statistical convergence in an arbitrary topological space is nothing new, it is actually a self-evident concept that comes through the structure of that space. In this paper, by considering the well known topologies on hyperspaces, we investigate the characterizations of statistical convergence of sequences of sets in the realm of these structures.

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Cite This Article

ÜNVER, M., SAĞİROĞLU, S. (2022). Statistical convergence of sequences of sets in hyperspaces. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 4, 889–896. https://ajindex.com/articles/529897

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