From Poincar\'e to logarithmic Sobolev inequalities: a gradient flow approach
Jean Dolbeault (CEREMADE), Bruno Nazaret (CEREMADE), Giuseppe Savar\'e

TL;DR
This paper presents a unified gradient flow framework for analyzing drift-diffusion equations, connecting Poincaré and logarithmic Sobolev inequalities through entropy methods.
Contribution
It introduces a novel approach using specific distances to reveal the gradient flow structure of a broad class of entropy-driven drift-diffusion equations.
Findings
Establishes the gradient flow structure for various entropy functionals.
Derives functional inequalities from entropy and entropy production comparisons.
Provides a unified framework for studying the Kolmogorov-Fokker-Planck equation.
Abstract
We use the distances introduced in a previous joint paper to exhibit the gradient flow structure of some drift-diffusion equations for a wide class of entropy functionals. Functional inequalities obtained by the comparison of the entropy with the entropy production functional reflect the contraction properties of the flow. Our approach provides a unified framework for the study of the Kolmogorov-Fokker-Planck (KFP) equation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Stability and Controllability of Differential Equations
