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Approximation by Sampling Durrmeyer Operators in Weighted Space of Functions

Osman Alagöz, Metin Turgay, Tuncer Acar, Merve Parlak

2022Numerical Functional Analysis and Optimization20 citationsDOI

Abstract

The present article deals with local and global approximation behaviors of sampling Durrmeyer operators for functions belonging to weighted spaces of continuous functions. After giving some fundamental notations of sampling type approximation methods and presenting well definiteness of the operators on weighted spaces of functions, we examine pointwise and uniform convergence of the family of operators and determine the rate of convergence via weighted modulus of continuity. A quantitative Voronovskaja theorem is also proved in order to obtain rate of pointwise convergence and upper estimate for this convergence. The last section is devoted to some numerical evaluations of sampling Durrmeyer operators with suitable kernels.

Topics & Concepts

MathematicsModulus of continuityPointwise convergencePointwiseRate of convergenceConvergence (economics)Uniform convergenceSampling (signal processing)Space (punctuation)Applied mathematicsMathematical analysisType (biology)Bandwidth (computing)PhilosophyEcologyComputer scienceEconomicsComputer networkEconomic growthEngineeringBiologyElectrical engineeringComputer visionApproxOperating systemChannel (broadcasting)Filter (signal processing)LinguisticsApproximation Theory and Sequence SpacesMathematical Approximation and IntegrationAdvanced Harmonic Analysis Research
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