Chebyshevskii Sbornik
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Chebyshevskii Sb.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Chebyshevskii Sbornik, 2020, Volume 21, Issue 4, Pages 218–226
DOI: https://doi.org/10.22405/2226-8383-2018-21-4-218-226
(Mi cheb964)
 

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

On approximation of classes of analytic periodic functions by Fejer means

O. G. Rovenskaa, O. A. Novikovb

a Donbass State Engeneering Academy (Kramatorsk, Ukraine)
b Donbass State Pedagogical University (Slavyansk, Ukraine)
Full-text PDF (602 kB) Citations (1)
References:
Abstract: The paper is devoted to the approximation of periodic functions of high smoothness by arithmetic means of Fourier sums. The simplest and natural example of a linear process of approximation of continuous periodic functions of a real variable is the approximation of these functions by partial sums of the Fourier series. However, the sequences of partial Fourier sums are not uniformly convergent over the entire class of continuous $2\pi$-periodic functions. In connection with this, a significant number of papers is devoted to the study of the approximative properties of other approximation methods, which are generated by certain transformations of the partial sums of Fourier series and allow us to construct sequences of trigonometrical polynomials that would be uniformly convergent for each function $f \in C$. In particular, over the past decades, de la Vallee Poussin sums and Fejer sums have been widely studied. Today, publications have accumulated a large amount of factual material. One of the most important directions in this field is the study of the asymptotic behavior of upper bounds of deviations of arithmetic means of Fourier sums on different classes of periodic functions. Methods of investigation of integral representations of deviations of trigonometric polynomials generated by linear methods of summation of Fourier series, were originated and developed in the works of S.M. Nikolsky, S.B. Stechkin, N.P. Korneichuk, V.K. Dzadyk and others.
The aim of the work is to systematize known results related to the approximation of classes of periodic functions of high smoothness by arithmetic means of Fourier sums and to present new facts obtained for particular cases and to present new approximative properties of Fejer sums on the classes of periodic functions that can be regularly extended into the corresponding strip of the complex plane. Under certain conditions, we obtained asymptotic formulas for upper bounds of deviations in the uniform metric of Fejer sums on Poisson integrals classes. The deduced formula provides a solution of the corresponding Kolmogorov-Nikolsky problem without any additional conditions.
Keywords: asymptotic equation, Fejer sum, Poisson integral.
Received: 13.01.2020
Accepted: 22.10.2020
Document Type: Article
UDC: 517.5
Language: Russian
Citation: O. G. Rovenska, O. A. Novikov, “On approximation of classes of analytic periodic functions by Fejer means”, Chebyshevskii Sb., 21:4 (2020), 218–226
Citation in format AMSBIB
\Bibitem{RovNov20}
\by O.~G.~Rovenska, O.~A.~Novikov
\paper On approximation of classes of analytic periodic functions by Fejer means
\jour Chebyshevskii Sb.
\yr 2020
\vol 21
\issue 4
\pages 218--226
\mathnet{http://mi.mathnet.ru/cheb964}
\crossref{https://doi.org/10.22405/2226-8383-2018-21-4-218-226}
Linking options:
  • https://www.mathnet.ru/eng/cheb964
  • https://www.mathnet.ru/eng/cheb/v21/i4/p218
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:100
    Full-text PDF :36
    References:14
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024