Power Series Statistical Convergence and an Abstract Korovkin-Type Approximation Theorem

This paper establishes an abstract Korovkin-type approximation theorem in general spaces, extending the framework of approximation theory to accommodate broader contexts. A critical result supporting this theorem is the proof that any P-statistically convergent sequence contains a classically convergent subsequence over a density 1 set, which plays a foundational role in the analysis. As a conclusion, we investigate the convergence of the r-th order generalization of linear operators, which may lack positivity, and present a Korovkin-type approximation theorem for periodic functions, both utilizing P-statistical convergence. These contributions generalize and improve existing results in approximation theory, providing novel insights and methodologies, supported by practical examples and corollaries.

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Publication Details

Journal
Numerical Functional Analysis and Optimization
Published
2026-11-09
DOI
https://doi.org/10.1080/01630563.2026.2753783
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Power Series Statistical Convergence and an Abstract Korovkin-Type Approximation Theorem

Mehmet Ünver, Dilek Söylemez
1 links
Numerical Functional Analysis and Optimization
Approximation Theory and Sequence Spaces
article

Power Series Statistical Convergence and an Abstract Korovkin-Type Approximation Theorem

Mehmet Ünver, Dilek Söylemez
article en

Abstract

This paper establishes an abstract Korovkin-type approximation theorem in general spaces, extending the framework of approximation theory to accommodate broader contexts. A critical result supporting this theorem is the proof that any P-statistically convergent sequence contains a classically convergent subsequence over a density 1 set, which plays a foundational role in the analysis. As a conclusion, we investigate the convergence of the r-th order generalization of linear operators, which may lack positivity, and present a Korovkin-type approximation theorem for periodic functions, both utilizing P-statistical convergence. These contributions generalize and improve existing results in approximation theory, providing novel insights and methodologies, supported by practical examples and corollaries.

Numerical Functional Analysis and Optimization
Selçuk University (TR), Ankara University (TR)
Selçuk Üniversitesi
Approximation Theory and Sequence Spaces
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