On orders of approximation functions of generalized smoothness in Lorentz spaces
G. Akishev

TL;DR
This paper investigates how well generalized Nikol'skii-Besov classes of periodic functions of multiple variables can be approximated by Fourier series in Lorentz spaces with mixed norms, providing estimates for the approximation order.
Contribution
It offers new estimates for the approximation order of generalized Nikol'skii-Besov classes in Lorentz spaces with mixed norms, extending previous results to multivariate periodic functions.
Findings
Derived bounds for approximation errors by Fourier partial sums
Extended approximation theory to Lorentz spaces with mixed norms
Provided new insights into the approximation of multivariate periodic functions
Abstract
This paper considers the Lorentz space with mixed norm of periodic functions of many variables and of the generalized Nikol'skii -- Besov classes. Estimates for the order of approximation of the generalized Nikol'skii -- Besov classes by partial sums of Fourier's series for multiple trigonometric system in Lorentz spaces with mixed norm are obtained.
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Mathematical Approximation and Integration · Differential Equations and Boundary Problems
