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Sibirskii Matematicheskii Zhurnal, 2023, Volume 64, Number 1, Pages 184–203
DOI: https://doi.org/10.33048/smzh.2023.64.116
(Mi smj7755)
 

This article is cited in 1 scientific paper (total in 1 paper)

Sharp estimates for the mean-square approximations of convolution classes by shift spaces on the axis

A. Yu. Ulitskaya

Chebyshev Laboratory, St. Petersburg State University, Department of Mathematics and Mechanics
Full-text PDF (419 kB) Citations (1)
References:
Abstract: We describe all spaces that are generated by the equidistant shifts of a single function and realizing the sharp constants in various inequalities for the approximations of convolution classes on the real axis. Moreover, we find the average widths of the approximated function classes and provide the examples of extremal approximating subspaces.
Keywords: best approximation, shift space, sharp constant, convolution class.
Funding agency Grant number
Russian Science Foundation 18-11-00055
This work is supported by the Russian Science Foundation under Grant no. 18–11–00055.
Received: 12.08.2022
Revised: 12.08.2022
Accepted: 10.10.2022
English version:
Siberian Mathematical Journal, 2023, Volume 64, Issue 1, Pages 157–173
DOI: https://doi.org/10.1134/S0037446623010160
Bibliographic databases:
Document Type: Article
UDC: 517.5
Language: Russian
Citation: A. Yu. Ulitskaya, “Sharp estimates for the mean-square approximations of convolution classes by shift spaces on the axis”, Sibirsk. Mat. Zh., 64:1 (2023), 184–203; Siberian Math. J., 64:1 (2023), 157–173
Citation in format AMSBIB
\Bibitem{Uli23}
\by A.~Yu.~Ulitskaya
\paper Sharp estimates for the mean-square approximations of~convolution classes by~shift spaces on~the axis
\jour Sibirsk. Mat. Zh.
\yr 2023
\vol 64
\issue 1
\pages 184--203
\mathnet{http://mi.mathnet.ru/smj7755}
\crossref{https://doi.org/10.33048/smzh.2023.64.116}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=4567655}
\transl
\jour Siberian Math. J.
\yr 2023
\vol 64
\issue 1
\pages 157--173
\crossref{https://doi.org/10.1134/S0037446623010160}
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  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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