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On Approximation by Kantorovich Exponential Sampling Operators

Shivam Bajpeyi, A. Sathish Kumar

2021Numerical Functional Analysis and Optimization27 citationsDOI

Abstract

In the present article, we extend our study of Kantorovich type exponential sampling operators introduced in [4]. We derive the Voronovskaya type theorem and its quantitative estimates for these operators in terms of an appropriate K-functional. Further, we improve the order of approximation by using the convex type linear combinations of these operators. Finally, we provide few examples of kernels along with the graphical representations.

Topics & Concepts

MathematicsShift theoremExponential typeExponential functionOperator theoryApplied mathematicsType (biology)Regular polygonSampling (signal processing)Spectral theoremMathematical analysisFixed-point theoremBrouwer fixed-point theoremComputer scienceDanskin's theoremEcologyBiologyFilter (signal processing)Computer visionGeometryApproximation Theory and Sequence SpacesIterative Methods for Nonlinear EquationsMathematical Approximation and Integration
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