Constructive discretization and approximation in reproducing kernel Hilbert spaces

Fuente: arXiv
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Autores principales: Chkifa, Abdellah, Dolbeault, Matthieu, Krieg, David, Ullrich, Mario
Formato: Preprint
Publicado: 2026
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author Chkifa, Abdellah
Dolbeault, Matthieu
Krieg, David
Ullrich, Mario
author_facet Chkifa, Abdellah
Dolbeault, Matthieu
Krieg, David
Ullrich, Mario
contents We generalize the sparsification algorithm of Batson, Spielman and Srivastava, making one part of the result dimension-independent. In particular, we recover discretization inequalities in $L_2$- and sup-norms on general finite-dimensional subspaces, prove a suitable infinite-dimensional variant, and discuss the implications for the error of least-squares approximation based on samples. This gives a more constructive version of several recently established approximation bounds, some of which relied on the stronger and less constructive result of Marcus, Spielman and Srivastava. We also improve the constants and oversampling factors in these results.
format Preprint
id arxiv_https___arxiv_org_abs_2602_18719
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Constructive discretization and approximation in reproducing kernel Hilbert spaces
Chkifa, Abdellah
Dolbeault, Matthieu
Krieg, David
Ullrich, Mario
Numerical Analysis
65D15
We generalize the sparsification algorithm of Batson, Spielman and Srivastava, making one part of the result dimension-independent. In particular, we recover discretization inequalities in $L_2$- and sup-norms on general finite-dimensional subspaces, prove a suitable infinite-dimensional variant, and discuss the implications for the error of least-squares approximation based on samples. This gives a more constructive version of several recently established approximation bounds, some of which relied on the stronger and less constructive result of Marcus, Spielman and Srivastava. We also improve the constants and oversampling factors in these results.
title Constructive discretization and approximation in reproducing kernel Hilbert spaces
topic Numerical Analysis
65D15
url https://arxiv.org/abs/2602.18719