Convergence of the Poincare Constant

dc.creatorJohnson, Oliver
dc.date2002-06-21
dc.date.accessioned2026-07-07T04:49:17Z
dc.date.available2026-07-07T04:49:17Z
dc.descriptionThe Poincare constant R(Y) of a random variable Y relates the L2 norm of a function g and its derivative g'. Since R(Y) - Var(Y) is positive, with equality if and only if Y is normal, it can be seen as a distance from the normal distribution. In this paper we establish a best possible rate of convergence of this distance in the Central Limit Theorem. Furthermore, we show that R(Y) is finite for discrete mixtures of normals, allowing us to add rates to the proof of the Central Limit Theorem in the sense of relative entropy.
dc.description11 pages
dc.identifierhttps://arxiv.org/abs/math/0206227
dc.identifierhttp://arxiv.org/abs/math/0206227
dc.identifierTheory of Probability and Its Applications Vol 48 (3), p.535-541, 2004
dc.identifierdoi:10.1137/S0040585X97980622
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/64365
dc.subjectProbability
dc.subject60E15; 60F99
dc.titleConvergence of the Poincare Constant
dc.typetext

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