Establishes approximation bounds and derives a Voronovskaja-type formula for operators, indicating the relevance of kernels.
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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Sadettin Kursun (2026) studied this question.
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