Rate of convergence of Thresholding Greedy Algorithms

Fuente: arXiv
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Autor principal: Temlyakov, V. N.
Formato: Preprint
Publicado: 2023
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author Temlyakov, V. N.
author_facet Temlyakov, V. N.
contents The rate of convergence of the classical Thresholding Greedy Algorithm with respect to bases is studied in this paper. We bound the error of approximation by the product of both norms -- the norm of $f$ and the $A_1$-norm of $f$. We obtain some results for greedy bases, unconditional bases, and quasi-greedy bases. In particular, we prove that our bounds for the trigonometric basis and for the Haar basis are optimal.
format Preprint
id arxiv_https___arxiv_org_abs_2304_09586
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Rate of convergence of Thresholding Greedy Algorithms
Temlyakov, V. N.
Numerical Analysis
Functional Analysis
The rate of convergence of the classical Thresholding Greedy Algorithm with respect to bases is studied in this paper. We bound the error of approximation by the product of both norms -- the norm of $f$ and the $A_1$-norm of $f$. We obtain some results for greedy bases, unconditional bases, and quasi-greedy bases. In particular, we prove that our bounds for the trigonometric basis and for the Haar basis are optimal.
title Rate of convergence of Thresholding Greedy Algorithms
topic Numerical Analysis
Functional Analysis
url https://arxiv.org/abs/2304.09586