Nazarov's uncertainty principles in higher dimension

dc.creatorJaming, Philippe
dc.date2006-12-13
dc.date.accessioned2026-07-07T08:14:57Z
dc.date.available2026-07-07T08:14:57Z
dc.descriptionIn this paper we prove that there exists a constant $C$ such that, if $S,Σ$ are subsets of $\R^d$ of finite measure, then for every function $f\in L^2(\R^d)$, $$\int_{\R^d}|f(x)|^2 dx \leq C e^{C \min(|S||Σ|, |S|^{1/d}w(Σ), w(S)|Σ|^{1/d})} (\int_{\R^d\setminus S}|f(x)|^2 dx + \int_{\R^d\setminusΣ}|\hat{f}(x)|^2 dx) $$ where $\hat{f}$ is the Fourier transform of $f$ and $w(Σ)$ is the mean width of $Σ$. This extends to dimension $d\geq 1$ a result of Nazarov \cite{pp.Na} in dimension $d=1$.
dc.identifierhttps://arxiv.org/abs/math/0612367
dc.identifierhttp://arxiv.org/abs/math/0612367
dc.identifierJournal of Approximation Theory (04/05/2007) doi:10.1016/j.jat.2007.04.005
dc.identifierdoi:10.1016/j.jat.2007.04.005
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133318
dc.subjectClassical Analysis and ODEs
dc.subject42B10
dc.titleNazarov's uncertainty principles in higher dimension
dc.typetext

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