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This article is cited in 1 scientific paper (total 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.
Received: 04.01.2021 Revised: 09.01.2022
Citation:
R. M. Trigub, “Rogosinsky–Bernstein Polynomial Method of Summation of Trigonometric Fourier Series”, Mat. Zametki, 111:4 (2022), 592–605; Math. Notes, 111:4 (2022), 604–615
Linking options:
https://www.mathnet.ru/eng/mzm13450https://doi.org/10.4213/mzm13450 https://www.mathnet.ru/eng/mzm/v111/i4/p592
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Abstract page: | 353 | Full-text PDF : | 58 | References: | 69 | First page: | 32 |
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