Bounds for the sampling discretization error and their applications to the universal sampling discretization

Fuente: arXiv
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Autori principali: Kosov, E. D., Temlyakov, V. N.
Natura: Preprint
Pubblicazione: 2023
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author Kosov, E. D.
Temlyakov, V. N.
author_facet Kosov, E. D.
Temlyakov, V. N.
contents In the first part of the paper we study absolute error of sampling discretization of the integral $L_p$-norm for function classes of continuous functions. We use basic approaches from chaining technique to provide general upper bounds for the error of sampling discretization of the $L_p$-norm on a given function class in terms of entropy numbers in the uniform norm of this class. As an example we apply these general results to obtain new error bounds for sampling discretization of the $L_p$-norms on classes of multivariate functions with mixed smoothness. In the second part of the paper we apply our general bounds to study the problem of universal sampling discretization.
format Preprint
id arxiv_https___arxiv_org_abs_2312_05670
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Bounds for the sampling discretization error and their applications to the universal sampling discretization
Kosov, E. D.
Temlyakov, V. N.
Numerical Analysis
Functional Analysis
65J05 (Primary) 42A05, 65D30, 41A63 (Secondary)
In the first part of the paper we study absolute error of sampling discretization of the integral $L_p$-norm for function classes of continuous functions. We use basic approaches from chaining technique to provide general upper bounds for the error of sampling discretization of the $L_p$-norm on a given function class in terms of entropy numbers in the uniform norm of this class. As an example we apply these general results to obtain new error bounds for sampling discretization of the $L_p$-norms on classes of multivariate functions with mixed smoothness. In the second part of the paper we apply our general bounds to study the problem of universal sampling discretization.
title Bounds for the sampling discretization error and their applications to the universal sampling discretization
topic Numerical Analysis
Functional Analysis
65J05 (Primary) 42A05, 65D30, 41A63 (Secondary)
url https://arxiv.org/abs/2312.05670