Statistical approximation by $(p,q)$-analogue of Bernstein-Stancu Operators
Asif Khan, Vinita Sharma

TL;DR
This paper investigates the approximation properties and convergence behavior of a new class of $(p,q)$-analogue Bernstein-Stancu operators, providing theoretical results and graphical illustrations.
Contribution
It introduces and analyzes the statistical approximation properties of $(p,q)$-Bernstein-Stancu operators, including convergence rates and a Voronovskaja-type theorem.
Findings
Established monotonicity of the operators
Derived a global approximation theorem using Ditzian-Totik modulus
Developed a quantitative Voronovskaja-type theorem
Abstract
In this paper, some approximation properties of -analogue of Bernstein-Stancu Operators has been studied. Rate of statistical convergence by means of modulus of continuity and Lipschitz type maximal functions has been investigated. Monotonicity of -Bernstein-Stancu Operators and a global approximation theorem by means of Ditzian-Totik modulus of smoothness is established. A quantitative Voronovskaja type theorem is developed for these operators. Furthermore, we show comparisons and some illustrative graphics for the convergence of operators to a function
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Taxonomy
TopicsApproximation Theory and Sequence Spaces · Mathematical Approximation and Integration · Mathematical functions and polynomials
