Varadhan Functions, Variances, and Means on Compact Riemannian Manifolds

Fuente: arXiv
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Auteur principal: Cao, Yueqi
Format: Preprint
Publié: 2026
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author Cao, Yueqi
author_facet Cao, Yueqi
contents Motivated by Varadhan's theorem, we introduce Varadhan functions, variances, and means on compact Riemannian manifolds as smooth approximations to their Fréchet counterparts. Given independent and identically distributed samples, we prove uniform laws of large numbers for their empirical versions. Furthermore, we prove central limit theorems for Varadhan functions and variances for each fixed $t\ge0$, and for Varadhan means for each fixed $t>0$. By studying small time asymptotics of gradients and Hessians of Varadhan functions, we build a strong connection to the central limit theorem for Fréchet means, without assumptions on the geometry of the cut locus.
format Preprint
id arxiv_https___arxiv_org_abs_2601_02832
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Varadhan Functions, Variances, and Means on Compact Riemannian Manifolds
Cao, Yueqi
Probability
Statistics Theory
Methodology
Motivated by Varadhan's theorem, we introduce Varadhan functions, variances, and means on compact Riemannian manifolds as smooth approximations to their Fréchet counterparts. Given independent and identically distributed samples, we prove uniform laws of large numbers for their empirical versions. Furthermore, we prove central limit theorems for Varadhan functions and variances for each fixed $t\ge0$, and for Varadhan means for each fixed $t>0$. By studying small time asymptotics of gradients and Hessians of Varadhan functions, we build a strong connection to the central limit theorem for Fréchet means, without assumptions on the geometry of the cut locus.
title Varadhan Functions, Variances, and Means on Compact Riemannian Manifolds
topic Probability
Statistics Theory
Methodology
url https://arxiv.org/abs/2601.02832