Sampling projections in the uniform norm

Fuente: arXiv
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Autori principali: Krieg, David, Pozharska, Kateryna, Ullrich, Mario, Ullrich, Tino
Natura: Preprint
Pubblicazione: 2024
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author Krieg, David
Pozharska, Kateryna
Ullrich, Mario
Ullrich, Tino
author_facet Krieg, David
Pozharska, Kateryna
Ullrich, Mario
Ullrich, Tino
contents We show that there are sampling projections on arbitrary $n$-dimensional subspaces of $B(D)$ with at most $2n$ samples and norm of order $\sqrt{n}$, where $B(D)$ is the space of complex-valued bounded functions on a set $D$. This gives a more explicit form of the Kadets-Snobar theorem for the uniform norm and improves upon Auerbach's lemma. We discuss consequences for optimal recovery in $L_p$.
format Preprint
id arxiv_https___arxiv_org_abs_2401_02220
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sampling projections in the uniform norm
Krieg, David
Pozharska, Kateryna
Ullrich, Mario
Ullrich, Tino
Functional Analysis
Numerical Analysis
41A65 (Primary) 41A50, 46B09 (Secondary)
We show that there are sampling projections on arbitrary $n$-dimensional subspaces of $B(D)$ with at most $2n$ samples and norm of order $\sqrt{n}$, where $B(D)$ is the space of complex-valued bounded functions on a set $D$. This gives a more explicit form of the Kadets-Snobar theorem for the uniform norm and improves upon Auerbach's lemma. We discuss consequences for optimal recovery in $L_p$.
title Sampling projections in the uniform norm
topic Functional Analysis
Numerical Analysis
41A65 (Primary) 41A50, 46B09 (Secondary)
url https://arxiv.org/abs/2401.02220