Stability of Poincar{\'e} constant
Jordan Serres (IMT)

TL;DR
This paper investigates the stability of the sharp Poincaré constant for reversible diffusion processes, using spectral methods and Stein's technique, with applications to gamma distributions and log-concave measures.
Contribution
It introduces a spectral interpretation approach to analyze the stability of Poincaré constants, extending results to gamma and log-concave measures in one dimension.
Findings
Established stability results for gamma distributions.
Extended stability analysis to strictly log-concave measures.
Connected Poincaré stability with Brascamp-Lieb inequalities.
Abstract
We study stability of the sharp Poincar{\'e} constant of the invariant probability measure of a reversible diffusion process satisfying some natural conditions. The proof is based on the spectral interpretation of Poincar{\'e} inequalities and Stein's method. In particular, these results are applied to the gamma distributions and to strictly log-concave measures in dimension one, giving stability for Brascamp-Lieb inequalities.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Point processes and geometric inequalities · Stochastic processes and statistical mechanics
