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JOURNALS // Matematicheskie Zametki // Archive

Mat. Zametki, 2022 Volume 111, Issue 4, Pages 592–605 (Mi mzm13450)

This article is cited in 1 paper

Rogosinsky–Bernstein Polynomial Method of Summation of Trigonometric Fourier Series

R. M. Trigub

Donetsk National University

Abstract: General Rogosinsky–Bernstein linear polynomial means $R_n(f)$ of Fourier series are introduced and three convergence criteria as $n\to\infty$ are obtained: for convergence in the space $C$ of continuous periodic functions and for convergence almost everywhere with two guaranteed sets (Lebesgue points and $d$-points). For smooth functions, the rate of convergence in norm of $R_n(f)$, as well as of their interpolation analogues, is also studied. For approximation of functions in $C^r$, the asymptotics is found along with the rate of decrease of the remainder term.

Keywords: series and Fourier transforms, Hardy's inequality, Riesz means, Lebesgue points ($l$-points) and $d$-points, modulus of smoothness, linearized modulus of smoothness, Jackson's theorem, Vallée-Poussin polynomial, conjugate function, entire functions of exponential type, comparison principle, Marcinkiewicz's inequality and discretization.

UDC: 517.51

Received: 04.01.2021
Revised: 09.01.2022

DOI: 10.4213/mzm13450


 English version:
Mathematical Notes, 2022, 111:4, 604–615

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© Steklov Math. Inst. of RAS, 2025