Bivariate Generalized Kantorovich Forms of Exponential Sampling Series: Some New Results

In this paper, we begin by establishing a rigorous upper bound for the difference between the operators and , providing a precise measure of the approximation error inherent in the proposed operators. Building on this foundation, we proceed to derive a quantitative Voronovskaja-type formula, which offers a detailed characterization of the asymptotic behavior of the operator under consideration. Finally, to demonstrate the practical relevance and applicability of the theoretical results, we present several illustrative examples of kernels that are compatible with the proposed framework. In this paper, we begin by establishing a rigorous upper bound for the difference between the operators and , providing a precise measure of the approximation error inherent in the proposed operators. Building on this foundation, we proceed to derive a quantitative Voronovskaja-type formula, which offers a detailed characterization of the asymptotic behavior of the operator under consideration. Finally, to demonstrate the practical relevance and applicability of the theoretical results, we present several illustrative examples of kernels that are compatible with the proposed framework.

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Publication Details

Journal
GAZI UNIVERSITY JOURNAL OF SCIENCE
Published
2026-04-13
DOI
https://doi.org/10.35378/gujs.1775191
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
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article

Bivariate Generalized Kantorovich Forms of Exponential Sampling Series: Some New Results

Sadettin Kursun
GAZI UNIVERSITY JOURNAL OF SCIENCE
Approximation Theory and Sequence Spaces
article

Bivariate Generalized Kantorovich Forms of Exponential Sampling Series: Some New Results

Sadettin Kursun
article en

Abstract

In this paper, we begin by establishing a rigorous upper bound for the difference between the operators and , providing a precise measure of the approximation error inherent in the proposed operators. Building on this foundation, we proceed to derive a quantitative Voronovskaja-type formula, which offers a detailed characterization of the asymptotic behavior of the operator under consideration. Finally, to demonstrate the practical relevance and applicability of the theoretical results, we present several illustrative examples of kernels that are compatible with the proposed framework. In this paper, we begin by establishing a rigorous upper bound for the difference between the operators and , providing a precise measure of the approximation error inherent in the proposed operators. Building on this foundation, we proceed to derive a quantitative Voronovskaja-type formula, which offers a detailed characterization of the asymptotic behavior of the operator under consideration. Finally, to demonstrate the practical relevance and applicability of the theoretical results, we present several illustrative examples of kernels that are compatible with the proposed framework.

GAZI UNIVERSITY JOURNAL OF SCIENCE(Advanced Online Publication)
Turkish Military Academy (TR)
Openalex Percentile: Top 12%
Approximation Theory and Sequence Spaces
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