Estimates of the order of approximation of functions of several variables in the generalized Lorentz space
DOI:
https://doi.org/10.5644/SJM.22.01.08Keywords:
Lorentz space, Nikol'skii--Besov class, trigonometric polynomial, best approximation, hyperbolic crossAbstract
In this paper, we consider an anisotropic symmetric space $X(\bar\varphi)$ of $2\pi$-periodic functions of $m$ variables, in particular, the generalized Lorentz space $L_{\bar{\psi},\bar{\tau}}^{*}(\mathbb{T}^{m})$ and the Nikol'skii--Besov class $S_{X(\bar{\varphi}),\bar{\theta}}^{\bar r}B$. We prove an embedding theorem for the Nikol'skii--Besov class into the generalized Lorentz space and establish an upper estimate for the best approximations of functions from the class $S_{X(\bar{\varphi}),\bar{\theta}}^{\bar r}B$ by trigonometric polynomials whose harmonic indices belong to the hyperbolic cross.
Statistics
Abstract: 0 / PDF: 0
References
G. Akishev, Approximation of function classes in spaces with mixed norms, Mat. Sb., 197(8) (2006), 17–40.
G. Akishev, On approximation of function classes in Lorentz spaces with anisotropic norm, Anal. Theory Appl., 29(3) (2013), 358–372.
G. Akishev, L. E. Persson, and A. Seger, Some Fourier inequalities for orthogonal systems in Lorentz–Zygmund spaces, J. Inequal. Appl., 171 (2019). https://doi.org/10.1186/s13660-019-2117-4.
G. Akishev, Estimating the order of approximation Besov classes by trigonometric polynomials, Bulletin Karaganda University. Ser. Matem., 3 (2004), 9–16.
G. Akishev, Estimates of the order of approximation of function several variables in the generalized Lorentz space, Preprint, ArXiv:2105.14810v1 [math.CA], May 31, 2021, 18 pp.
T. I. Amanov, Spaces of differentiable functions with dominant mixed derivative, Nauka, Alma–Ata, 1976.
K. A. Bekmaganbetov, On orders of approximationof the Besov class in the metric of anisotropic Lorentz spaces, Ufim. Math. Jour., 1(2) (2009), 9–16.
K. A. Bekmaganbetov and E. D. Nursultanov, The method of multi-parameter interpolation and embedding theorems of Besov spaces $B_{vec p}^{vecalpha}$, Anal. Math., 24 (1998), 241–263.
K. A. Bekmaganbetov and E. T. Orazgaliev, Bernstein–Nikol'skii inequalities and estimates of best approximation in anisotropic Lorentz spaces, Matem. Zhur., 15(2) (2015), 32–41.
A. P. Blozinski, Multivariate rearrangements and Banach function spaces with mixed norms, Trans. Amer. Math. Soc., 263(1) (1981), 146–167.
Dinh Dung, V. N. Temlyakov, and T. Ullrich, Hyperbolic cross approximation, Preprint, ArXiv:1601.03978v1 [math.NA], January 15, 2016.
H. Johansson, Embedding of $H_{p}^{omega}$ in some Lorentz spases, Research Report University Umea, 6 (1975), 3–38.
S. G. Krein, Yu. I. Petunin, and E. M. Semenov, Interpolation of linear operators, Nauka, Moscow, 1978.
S. V. Lapin, Some embedding theorems for products of functions, Manuscript No. 1036-80Dep, deposited at VINITI (1980) (Russian), 31 pp.
P. I. Lizorkin and S. M. Nikol'skii, Spaces of functions of mixed smoothness from the decomposition point of view, Proc. Steklov Inst. Math., 187 (1989), 143–161.
S. M. Nikol'skii, Approximation of classes of functions of several variables and embedding theorems, Nauka, Moscow, 1977.
E. D. Nursultanov, Interpolation theorems for anisotropic function spaces and their applications, Dokl. Akad. Nauk, 394(1) (2004), 22–25.
V. A. Rodin, The Hardy–Littlewood theorem for the cosine series in a symmetric space, Math. Notes, 20(2) (1976), 693–696.
A. S. Romanyuk, Approximation of the Besov classes of periodic functions of several variables in the space $L_{q}$, Ukrain. Mat. Zh., 43(10) (1991), 1297–1306.
H. J. Schmeisser, Recent developments in the theory of function spaces with dominating mixed smoothness, in Nonlinear Analysis, Function Spaces and Applications, Proceedings of the Spring School held in Prague, May 30–June 6, 2006, 8, Czech Academy of Sciences, Mathematical Institute, Praha, 2007, 145–204.
R. Sharpley, Space $Lambda_{alpha}(X)$ and interpolation, J. Funct. Anal., 11(4) (1972), 479–513.
L. A. Sherstneva, On the properties of best Lorentz approximations and certain embedding theorems, Izvestiya Vysshikh Uchebnykh Zavedenii. Matem., (10) (1987), 48–58.
E. M. Stein and G. Weiss, Introduction to Fourier analysis on Euclidean spaces, Princeton, 1971.
V. Temlyakov, Multivariate approximation, Cambridge University Press, United Kingdom, 2018.
V. M. Tikhomirov, Approximation theory, Itogy Nauki i Tekhniki: Sovrem. Probl. Math.: Fund. Naprav. VINITI, Moscow, 14 (1987), 103–270.
Downloads
Published
How to Cite
Issue
Section
License
Copyright is retained by the author(s).

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.





