Uncertainty Principle for distributions with Fourier transform in $L_{p,q}(\mathbb{R}^d)$

Fuente: arXiv
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Main Author: Dobronravov, Nikita
Format: Preprint
Published: 2026
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author Dobronravov, Nikita
author_facet Dobronravov, Nikita
contents A version of the Uncertainty Principle says: There does not exist a non zero function in $L_p(\mathbb{R}^d)$ if its Fourier transform is supported by a set of finite $α$-Hausdorff measure with $α<2d/p$. This UP does not hold at the endpoint $α=2d/p$. We find the sharp form of the UP in the limit case. We prove that there exists a non-zero function in the Lorentz space $L_{p,q}(\mathbb{R}^d)$ such that its Fourier transform is supported by a set of zero $(\frac{2d}{p},β)$-Netrusov--Hausdorff capacity if and only if $β>\frac{q}{2(q-1)}$.
format Preprint
id arxiv_https___arxiv_org_abs_2604_26096
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Uncertainty Principle for distributions with Fourier transform in $L_{p,q}(\mathbb{R}^d)$
Dobronravov, Nikita
Classical Analysis and ODEs
A version of the Uncertainty Principle says: There does not exist a non zero function in $L_p(\mathbb{R}^d)$ if its Fourier transform is supported by a set of finite $α$-Hausdorff measure with $α<2d/p$. This UP does not hold at the endpoint $α=2d/p$. We find the sharp form of the UP in the limit case. We prove that there exists a non-zero function in the Lorentz space $L_{p,q}(\mathbb{R}^d)$ such that its Fourier transform is supported by a set of zero $(\frac{2d}{p},β)$-Netrusov--Hausdorff capacity if and only if $β>\frac{q}{2(q-1)}$.
title Uncertainty Principle for distributions with Fourier transform in $L_{p,q}(\mathbb{R}^d)$
topic Classical Analysis and ODEs
url https://arxiv.org/abs/2604.26096