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 Rⁿ 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.
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Lafi et al. (2026) studied this question.
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