1. Stability in Gagliardo-Nirenberg-Sobolev inequalities: flows, regularity and the entropy method
- Author
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Bonforte, Matteo, Dolbeault, Jean, Nazaret, Bruno, Simonov, Nikita, Instituto de Ciencias Matemàticas [Madrid] (ICMAT), Universidad Carlos III de Madrid [Madrid] (UC3M)-Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM)-Universidad Autónoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), CEntre de REcherches en MAthématiques de la DEcision (CEREMADE), Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM), Université Paris 1 Panthéon-Sorbonne (UP1), Fédération Parisienne de Modélisation Mathématique (FP2M), Centre National de la Recherche Scientifique (CNRS), Méthodes numériques pour le problème de Monge-Kantorovich et Applications en sciences sociales (MOKAPLAN), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Project MTM2017-85757-P (Ministry of Science and Innovation, Spain) and the Spanish Ministry of Science and Innovation, through the 'Severo Ochoa Programme for Centres of Excellence in R&D' (CEX2019-000904-S)E.U. H2020 MSCA programme, grant agreement 777822Project EFI (ANR-17-CE40-0030) of the French National Research Agency (ANR)Inria Mokaplan teamDIM Math-Innov of the Region Île-de-France, ANR-17-CE40-0030,EFI,Entropie, flots, inégalités(2017), and European Project: 777822,GHAIA(2017)
- Subjects
intermediate asymptotics ,Mathematics::Analysis of PDEs ,fast diffusion equation ,rates of convergence ,stability ,Harnack Principle ,Hardy-Poincaré inequalities ,spectral gap ,[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP] ,self-similar Barenblatt solutions ,asymptotic behavior ,2020 Mathematics Subject Classification.26D10 ,46E35 ,35K55 ,49J40 ,35B40 ,49K20 ,49K30 ,35J20 ,Gagliardo-Nirenberg inequality ,entropy methods - Abstract
Ce document contient hal-02887010, v1: Stability in Gagliardo-Nirenberg inequalities and hal-02887013, v1: Stability in Gagliardo-Nirenberg inequalities. Supplementary material, avec plusieurs additions dont: Chapitre 1 (variational methods) et Chapitre 6 (Sobolev's inequality).; International audience; The purpose of this work is to establish a quantitative and constructive stability result for a class of subcritical Gagliardo-Nirenberg-Sobolev inequalities which interpolates between the logarithmic Sobolev inequality and the standard Sobolev inequality (in dimension larger than three), or Onofri's inequality in dimension two. We develop a new strategy, in which the flow of the fast diffusion equation is used as a tool: a stability result in the inequality is equivalent to an improved rate of convergence to equilibrium for the flow. The regularity properties of the parabolic flow allow us to connect an improved entropy - entropy production inequality during an initial time layer to spectral properties of a suitable linearized problem which is relevant for the asymptotic time layer. Altogether, the stability in the inequalities is measured by a deficit which controls in strong norms (a Fisher information which can be interpreted as a generalized Heisenberg uncertainty principle) the distance to the manifold of optimal functions. The method is constructive and, for the first time, quantitative estimates of the stability constant are obtained, including in the critical case of Sobolev's inequality. To build the estimates, we establish a quantitative global Harnack principle and perform a detailed analysis of large time asymptotics by entropy methods.
- Published
- 2022