English

A note on one-dimensional Poincar\'e inequalities by Stein-type integration

Probability 2022-06-13 v3 Functional Analysis

Abstract

We study the weighted Poincar\'e constant C(p,w)C(p,w) of a probability density pp with weight function ww using integration methods inspired by Stein's method. We obtain a new version of the Chen-Wang variational formula which, as a byproduct, yields simple upper and lower bounds on C(p,w)C(p,w) in terms of the so-called Stein kernel of pp. We also iterate these variational formulas so as to build sequences of nested intervals containing the Poincar\'e constant, sequences of functions converging to said constant, as well as sequences of functions converging to the solutions of the corresponding spectral problem. Our results rely on the properties of a pseudo inverse operator of the classical Sturm-Liouville operator. We illustrate our methods on a variety of examples: Gaussian functionals, weighted Gaussian, beta, gamma, Subbotin, and Weibull distributions.

Keywords

Cite

@article{arxiv.2112.02638,
  title  = {A note on one-dimensional Poincar\'e inequalities by Stein-type integration},
  author = {Gilles Germain and Yvik Swan},
  journal= {arXiv preprint arXiv:2112.02638},
  year   = {2022}
}

Comments

24 pages, 1 figure, supplementary material available on second author's website. Comments most welcome

R2 v1 2026-06-24T08:04:57.710Z