Spectral representations of interpolation spaces of reproducing kernel Hilbert spaces

Fuente: arXiv
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Autori principali: Bitzer, Michael, Steinwart, Ingo
Natura: Preprint
Pubblicazione: 2025
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author Bitzer, Michael
Steinwart, Ingo
author_facet Bitzer, Michael
Steinwart, Ingo
contents In statistical learning theory, interpolation spaces of the form $[\mathrm{L}^2,H]_{θ,r}$, where $H$ is a reproducing kernel Hilbert space, are in widespread use. So far, however, they are only well understood for fine index $r=2$. We generalise existing results from $r=2$ to all possible values of $r$. In particular, we present a spectral decomposition of such spaces, analyse their embedding properties, and describe connections to the theory of Banach spaces of functions. We additionally present example applications of our results to regularisation error estimation in statistical learning.
format Preprint
id arxiv_https___arxiv_org_abs_2508_16492
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Spectral representations of interpolation spaces of reproducing kernel Hilbert spaces
Bitzer, Michael
Steinwart, Ingo
Functional Analysis
46E22 (Primary) 46B70, 47B34, 47G10, 47B32, 47A70, 68T05 (Secondary)
In statistical learning theory, interpolation spaces of the form $[\mathrm{L}^2,H]_{θ,r}$, where $H$ is a reproducing kernel Hilbert space, are in widespread use. So far, however, they are only well understood for fine index $r=2$. We generalise existing results from $r=2$ to all possible values of $r$. In particular, we present a spectral decomposition of such spaces, analyse their embedding properties, and describe connections to the theory of Banach spaces of functions. We additionally present example applications of our results to regularisation error estimation in statistical learning.
title Spectral representations of interpolation spaces of reproducing kernel Hilbert spaces
topic Functional Analysis
46E22 (Primary) 46B70, 47B34, 47G10, 47B32, 47A70, 68T05 (Secondary)
url https://arxiv.org/abs/2508.16492