Jaime Gómez, André Guerra, João P. G. Ramos, Paolo Tilli
{"title":"Stability of the Faber-Krahn inequality for the short-time Fourier transform","authors":"Jaime Gómez, André Guerra, João P. G. Ramos, Paolo Tilli","doi":"10.1007/s00222-024-01248-2","DOIUrl":null,"url":null,"abstract":"<p>We prove a sharp quantitative version of the Faber–Krahn inequality for the short-time Fourier transform (STFT). To do so, we consider a deficit <span>\\(\\delta (f;\\Omega )\\)</span> which measures by how much the STFT of a function <span>\\(f\\in L^{2}(\\mathbb{R})\\)</span> fails to be optimally concentrated on an arbitrary set <span>\\(\\Omega \\subset \\mathbb{R}^{2}\\)</span> of positive, finite measure. We then show that an optimal power of the deficit <span>\\(\\delta (f;\\Omega )\\)</span> controls both the <span>\\(L^{2}\\)</span>-distance of <span>\\(f\\)</span> to an appropriate class of Gaussians and the distance of <span>\\(\\Omega \\)</span> to a ball, through the Fraenkel asymmetry of <span>\\(\\Omega \\)</span>. Our proof is completely quantitative and hence all constants are explicit. We also establish suitable generalizations of this result in the higher-dimensional context.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00222-024-01248-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
We prove a sharp quantitative version of the Faber–Krahn inequality for the short-time Fourier transform (STFT). To do so, we consider a deficit \(\delta (f;\Omega )\) which measures by how much the STFT of a function \(f\in L^{2}(\mathbb{R})\) fails to be optimally concentrated on an arbitrary set \(\Omega \subset \mathbb{R}^{2}\) of positive, finite measure. We then show that an optimal power of the deficit \(\delta (f;\Omega )\) controls both the \(L^{2}\)-distance of \(f\) to an appropriate class of Gaussians and the distance of \(\Omega \) to a ball, through the Fraenkel asymmetry of \(\Omega \). Our proof is completely quantitative and hence all constants are explicit. We also establish suitable generalizations of this result in the higher-dimensional context.