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$\mu$-STATISTICAL CONVERGENCE OF MULTIPLE SEQUENCES IN TOPOLOGICAL VECTOR VALUED CONE METRIC SPACES

Ahmet Sahiner(SULEYMAN DEMIREL UNIVERSITY)
Nurullah Yılmaz(Süleyman Demirel University)
Pages
1–10
Publication Date
2023-02-15
DOI
—
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AI Summary & Key Takeaways

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

The relationships between $\mu$-statistical convergence and convergence in $\mu$-density is investigated.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The concept of $\mu$-statistical convergence of double and multiple sequences in topological vector space (tvs for short) valued cone metric spaces is introduced in this paper.
📊
Key Findings & Data:The concept of $\mu$-statistical convergence of double and multiple sequences in topological vector space (tvs for short) valued cone metric spaces is introduced in this paper.
💡
Conclusion & Impact:The relationships between $\mu$-statistical convergence and convergence in $\mu$-density is investigated.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:cone metric · multiple sequence · two valued measure

Abstract

The concept of $\mu$-statistical convergence of double and multiple sequences in topological vector space (tvs for short) valued cone metric spaces is introduced in this paper. The relationships between $\mu$-statistical convergence and convergence in $\mu$-density is investigated.

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Cite This Article

Sahiner, A., Yılmaz, N. (2023). $\mu$-STATISTICAL CONVERGENCE OF MULTIPLE SEQUENCES IN TOPOLOGICAL VECTOR VALUED CONE METRIC SPACES. Journal of Multidisciplinary Modeling and Optimization, Cilt: 5 Sayı: 1, 1–10. https://ajindex.com/articles/938428

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