A note on one-dimensional Poincar\'e inequalities by Stein-type integration
Abstract
We study the weighted Poincar\'e constant of a probability density with weight function 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 in terms of the so-called Stein kernel of . 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.
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