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Varadhan Functions, Variances, and Means on Compact Riemannian Manifolds

Published: January 6, 2026 | arXiv ID: 2601.02832v1

By: Yueqi Cao

Potential Business Impact:

Makes math smoother for understanding data.

Business Areas:
A/B Testing Data and Analytics

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.

Page Count
21 pages

Category
Mathematics:
Probability