Approximation Theorems and $\mathcal{I}$-Equi 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.
Keywords
References
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Details
Primary Language
English
Subjects
Approximation Theory and Asymptotic Methods
Journal Section
Research Article
Authors
Fadime Dirik
*
0000-0002-9316-9037
Türkiye
Kamil Demirci
0000-0002-5976-9768
Türkiye
Sevda Yıldız
0000-0002-4730-2271
Türkiye
Publication Date
June 30, 2026
Submission Date
May 14, 2025
Acceptance Date
September 9, 2025
Published in Issue
Year 2026 Volume: 75 Number: 2