Journals / Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics / 2026 / Volume: 75 Issue: 2

Approximation Theorems and $\mathcal{I}$-Equi Statistical Convergence

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Publication Date
2026-06-30
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AI Summary & Key Takeaways

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

Finally, an estimate for the rate at which $\mathcal{I}$-equi-statistical convergence occurs is provided, thus quantifying the efficiency of approximation under this framework.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the present work, a novel type of convergence is introduced by incorporating the notions of $\mathcal{I}$-statistical convergence and equi-statistical convergence.
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Key Findings & Data:Moreover, the paper provides a concrete example that illustrates the practical significance of the new convergence concept.
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Conclusion & Impact:Finally, an estimate for the rate at which $\mathcal{I}$-equi-statistical convergence occurs is provided, thus quantifying the efficiency of approximation under this framework.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:$\mathcal{I}$-convergence · equi-statistical convergence · $\mathcal{I}$-statistical convergence

Abstract

In the present work, a novel type of convergence is introduced by incorporating the notions of $\mathcal{I}$-statistical convergence and equi-statistical convergence. These offer a more extensive framework in comparison to the classical concepts of $\mathcal{I}$-convergence and statistical convergence. Within this generalized setting, two fundamental approximation results are established and proven: one in the sense of Korovkin-type theorems and another in the sense of a Voronovskaya-type result. Moreover, the paper provides a concrete example that illustrates the practical significance of the new convergence concept. Finally, an estimate for the rate at which $\mathcal{I}$-equi-statistical convergence occurs is provided, thus quantifying the efficiency of approximation under this framework.

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Cite This Article

Dirik, F., Demirci, K., Yıldız, S. (2026). Approximation Theorems and $\mathcal{I}$-Equi Statistical Convergence. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 75 Issue: 2. https://doi.org/10.31801/cfsuasmas.1699182

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