Improved Convergence and Approximation properties of Baskakov-Durrmeyer Operators

TL;DR

This paper introduces two modifications to Baskakov-Durrmeyer operators that significantly enhance their convergence rates and approximation accuracy, providing detailed error estimates and asymptotic analysis.

Contribution

The paper presents novel modifications to classical Baskakov-Durrmeyer operators that achieve higher convergence orders and improved approximation properties.

Findings

Operators exhibit convergence of order one or two.

Enhanced error estimates demonstrate improved efficiency.

Voronovskaja-type formulas reveal asymptotic behavior.

Abstract

In this paper, we describe two novel changes to the Baskakov-Durrmeyer operators that improve their approximation performance. These improvements are especially designed to produce higher rates of convergence, with orders of one or two. This is a major improvement above the linear rate of convergence commonly associated with conventional Baskakov-Durrmeyer operators. Our research goes thoroughly into the approximation features of these modified operators, providing a thorough examination of their convergence behavior. We concentrate on calculating precise convergence rates, providing thorough error estimates that demonstrate the new operators' efficiency as compared to the classical version. In addition, we construct Voronovskaja-type formulae for these operators, which provide insights into the asymptotic behavior of the approximation process as the operator's degree grows. By exploring these aspects, we demonstrate that the proposed modifications not only surpass the classical operators in terms of convergence speed but also offer a more refined approach to error estimation, making them a powerful tool for approximation theory.