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Asymptotic normality for random simplices and convex bodies in high dimensions

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arxiv 1906.02471 v1 pith:6RLDB47P submitted 2019-06-06 math.MG math.PR

classification math.MGmath.PR
keywords randomsimplicesbodiesconvexasymptoticdistributedmeasurenormality
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abstract

Central limit theorems for the log-volume of a class of random convex bodies in $\mathbb{R}^n$ are obtained in the high-dimensional regime, that is, as $n\to\infty$. In particular, the case of random simplices pinned at the origin and simplices where all vertices are generated at random is investigated. The coordinates of the generating vectors are assumed to be independent and identically distributed with subexponential tails. In addition, asymptotic normality is established also for random convex bodies (including random simplices pinned at the origin) when the spanning vectors are distributed according to a radially symmetric probability measure on the $n$-dimensional $\ell_p$-ball. In particular, this includes the cone and the uniform probability measure.

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  1. Facets of spherical random polytopes

    math.PR 2019-08 accept novelty 6.0 of 10

    The expected number of facets and the typical facet height of the convex hull of n uniform points on S^{d-1} are determined asymptotically in every regime where n and d tend to infinity.

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