Geometric Large-Deviation-Type Principles for Mixed Measures

Abstract

Abstract We study a geometric analogue of the large deviation principle for mixed measures associated with a class of $$\log $$ log -concave probability measures whose densities depend on the gauge of a convex body. For convex bodies in $$\mathbb {R}^n$$ R n , we prove a geometric large-deviation-type asymptotic for first-order mixed measures, in which the decay under dilation is governed by a natural inradius associated with the measure. In the planar case, we derive an explicit representation and prove a genuine logarithmic limit for second-order mixed measures. As an application, we prove a comparison theorem showing that asymptotic dominance under dilation forces inclusion between convex bodies.

The authors' abstract, as published at the source. Journal of Geometric Analysis, 2026 · DOI ↗