Approximation of Discontinuous Functions by Positive Linear Operators. A Probabilistic Approach

ABSTRACT We obtain approximation results for general positive linear operators satisfying mild conditions, when acting on discontinuous functions and absolutely continuous functions having discontinuous derivatives. The upper bounds, given in terms of a local first modulus of continuity, are best possible, in the sense that we can construct particular sequences of operators attaining them. When applied to functions of bounded variation or absolutely continuous functions having derivatives of bounded variation, these upper bounds are better and simpler to compute than the usual total variation bounds. The particular case of the Bernstein polynomials is thoroughly discussed. We use a probabilistic approach based on representations of such operators in terms of expectations of random variables.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-11-25
DOI
https://doi.org/10.1002/mma.70341
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Approximation of Discontinuous Functions by Positive Linear Operators. A Probabilistic Approach

Pedro Garrancho, José A. Adell, Francisco Javier Martínez Sánchez
Mathematical Methods in the Applied Sciences
Approximation Theory and Sequence Spaces
article

Approximation of Discontinuous Functions by Positive Linear Operators. A Probabilistic Approach

Pedro Garrancho, José A. Adell, Francisco Javier Martínez Sánchez
article en

Abstract

ABSTRACT We obtain approximation results for general positive linear operators satisfying mild conditions, when acting on discontinuous functions and absolutely continuous functions having discontinuous derivatives. The upper bounds, given in terms of a local first modulus of continuity, are best possible, in the sense that we can construct particular sequences of operators attaining them. When applied to functions of bounded variation or absolutely continuous functions having derivatives of bounded variation, these upper bounds are better and simpler to compute than the usual total variation bounds. The particular case of the Bernstein polynomials is thoroughly discussed. We use a probabilistic approach based on representations of such operators in terms of expectations of random variables.

Mathematical Methods in the Applied SciencesVol. 49(5)
Universidad de Jaén (ES), Universidad de Zaragoza (ES)
Junta de Andalucía
Openalex Percentile: Top 66%
Approximation Theory and Sequence Spaces
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