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Journals / Konuralp Journal of Mathematics / 2026 / Volume: 12 Issue: 1

Statistical Convergence of Matrix Sequences

Elif Nuray Yıldırım(İSTANBUL TİCARET ÜNİVERSİTESİ)0000-0002-2934-892X
Pages
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Publication Date
2024-04-30
DOI
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AI Summary & Key Takeaways

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

This leads us to an initial analysis of the Tauberian conditions for the statistical convergence of matrix sequences.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper extends the statistical convergence of real or complex numbers to the real square matrices sequences .
📊
Key Findings & Data:In this context, we investigate the relation between the statistical convergence, statistical Cauchy condition, strong Cesaro summability of matrices sequences.
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Conclusion & Impact:This leads us to an initial analysis of the Tauberian conditions for the statistical convergence of matrix sequences.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:matrix sequence · statistical convergence · Cesaro summability

Abstract

This paper extends the statistical convergence of real or complex numbers to the real square matrices sequences . In this context, we investigate the relation between the statistical convergence, statistical Cauchy condition, strong Cesaro summability of matrices sequences. This leads us to an initial analysis of the Tauberian conditions for the statistical convergence of matrix sequences.

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Cite This Article

Yıldırım, E. N. (2024). Statistical Convergence of Matrix Sequences. Konuralp Journal of Mathematics, Volume: 12 Issue: 1. https://ajindex.com/articles/1521505

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