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Square Root Convexity of Fisher Information along Heat Flow in Dimension Two
Recently, Ledoux, Nair, and Wang proved that the Fisher information along the heat flow is log-convex in dimension one, that is [Formula: see text] for [Formula: see text] , where [Formula: see text] is a random variable with density function satisfying the heat equation. In this paper, we consider...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137932/ https://www.ncbi.nlm.nih.gov/pubmed/37190344 http://dx.doi.org/10.3390/e25040558 |
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author | Liu, Junliang Gao, Xiaoshan |
author_facet | Liu, Junliang Gao, Xiaoshan |
author_sort | Liu, Junliang |
collection | PubMed |
description | Recently, Ledoux, Nair, and Wang proved that the Fisher information along the heat flow is log-convex in dimension one, that is [Formula: see text] for [Formula: see text] , where [Formula: see text] is a random variable with density function satisfying the heat equation. In this paper, we consider the high dimensional case and prove that the Fisher information is square root convex in dimension two, that is [Formula: see text] for [Formula: see text]. The proof is based on the semidefinite programming approach. |
format | Online Article Text |
id | pubmed-10137932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101379322023-04-28 Square Root Convexity of Fisher Information along Heat Flow in Dimension Two Liu, Junliang Gao, Xiaoshan Entropy (Basel) Article Recently, Ledoux, Nair, and Wang proved that the Fisher information along the heat flow is log-convex in dimension one, that is [Formula: see text] for [Formula: see text] , where [Formula: see text] is a random variable with density function satisfying the heat equation. In this paper, we consider the high dimensional case and prove that the Fisher information is square root convex in dimension two, that is [Formula: see text] for [Formula: see text]. The proof is based on the semidefinite programming approach. MDPI 2023-03-24 /pmc/articles/PMC10137932/ /pubmed/37190344 http://dx.doi.org/10.3390/e25040558 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Junliang Gao, Xiaoshan Square Root Convexity of Fisher Information along Heat Flow in Dimension Two |
title | Square Root Convexity of Fisher Information along Heat Flow in Dimension Two |
title_full | Square Root Convexity of Fisher Information along Heat Flow in Dimension Two |
title_fullStr | Square Root Convexity of Fisher Information along Heat Flow in Dimension Two |
title_full_unstemmed | Square Root Convexity of Fisher Information along Heat Flow in Dimension Two |
title_short | Square Root Convexity of Fisher Information along Heat Flow in Dimension Two |
title_sort | square root convexity of fisher information along heat flow in dimension two |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137932/ https://www.ncbi.nlm.nih.gov/pubmed/37190344 http://dx.doi.org/10.3390/e25040558 |
work_keys_str_mv | AT liujunliang squarerootconvexityoffisherinformationalongheatflowindimensiontwo AT gaoxiaoshan squarerootconvexityoffisherinformationalongheatflowindimensiontwo |