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Autores principales: Rible, Quentin, Seuret, Stéphane
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2603.25172
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author Rible, Quentin
Seuret, Stéphane
author_facet Rible, Quentin
Seuret, Stéphane
contents This paper investigates the traces of functions belonging to the inhomogeneous Besov spaces B $ξ$ p,q , where $ξ$ is a product of capacities defined as powers of Gibbs measures. We first establish that the traces of functions in B $ξ$ p,q along affine hyperplanes belong to another inhomogeneous Besov space. Furthermore, we derive an upper bound for the singularity spectrum of the traces of all functions in B $ξ$ $\infty$,q . This bound is then refined for a prevalent set of functions in B $ξ$ $\infty$,q , for which we explicitly compute the singularity spectrum of their traces. Notably, our analysis reveals that the regularity properties of these affine traces are highly sensitive to the choice of the hyperplane along which the trace is taken.
format Preprint
id arxiv_https___arxiv_org_abs_2603_25172
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Traces of functions in Besov spaces in Gibbs environment
Rible, Quentin
Seuret, Stéphane
Functional Analysis
This paper investigates the traces of functions belonging to the inhomogeneous Besov spaces B $ξ$ p,q , where $ξ$ is a product of capacities defined as powers of Gibbs measures. We first establish that the traces of functions in B $ξ$ p,q along affine hyperplanes belong to another inhomogeneous Besov space. Furthermore, we derive an upper bound for the singularity spectrum of the traces of all functions in B $ξ$ $\infty$,q . This bound is then refined for a prevalent set of functions in B $ξ$ $\infty$,q , for which we explicitly compute the singularity spectrum of their traces. Notably, our analysis reveals that the regularity properties of these affine traces are highly sensitive to the choice of the hyperplane along which the trace is taken.
title Traces of functions in Besov spaces in Gibbs environment
topic Functional Analysis
url https://arxiv.org/abs/2603.25172