Durrmeyer sampling-type operators: approximation in variation

Abstract In the present paper we study the approximation properties of the Durrmeyer sampling-type operators in the frame of the space of functions of bounded variation. In particular, besides some preliminary results concerning an estimate in variation of the operators in terms of the variation of the function and a regularizing property of the Durrmeyer sampling series, the main result is the convergence in variation by means of the operators. In order to prove it, a relation between the derivative of the Durrmeyer sampling series and a linear combination of the sampling Kantorovich operators applied to a convolution product involving the derivative of the function is exploited. Finally, we obtain a quantitative estimate of the rate of approximation.

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Publication Details

Journal
Journal of Pseudo-Differential Operators and Applications
Published
2026-01-22
DOI
https://doi.org/10.1007/s11868-026-00764-4
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Durrmeyer sampling-type operators: approximation in variation

Gianluca Vıntı, Laura Angelonı, Giuseppe Aiello
Journal of Pseudo-Differential Operators and Applications
Approximation Theory and Sequence Spaces
article

Durrmeyer sampling-type operators: approximation in variation

Gianluca Vıntı, Laura Angelonı, Giuseppe Aiello
article en

Abstract

Abstract In the present paper we study the approximation properties of the Durrmeyer sampling-type operators in the frame of the space of functions of bounded variation. In particular, besides some preliminary results concerning an estimate in variation of the operators in terms of the variation of the function and a regularizing property of the Durrmeyer sampling series, the main result is the convergence in variation by means of the operators. In order to prove it, a relation between the derivative of the Durrmeyer sampling series and a linear combination of the sampling Kantorovich operators applied to a convolution product involving the derivative of the function is exploited. Finally, we obtain a quantitative estimate of the rate of approximation.

Journal of Pseudo-Differential Operators and ApplicationsVol. 17(1)
Lucian Blaga University of Sibiu (RO), University of Perugia (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi", Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni
Openalex Percentile: Top 83%
Approximation Theory and Sequence Spaces
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