Convex hulls of several multidimensional Gaussian random walks
Julien Randon-Furling, Dmitry Zaporozhets

TL;DR
This paper derives explicit formulas for the expected volume and facets of convex hulls formed by multiple multidimensional Gaussian random walks, extending known results for single walks and Gaussian polytopes.
Contribution
It provides new explicit formulas linking convex hull properties of Gaussian walks to Gaussian persistence probabilities, generalizing previous results.
Findings
Explicit formulas for expected volume and facets of convex hulls
Extension of known results to multiple Gaussian walks
Connections to Gaussian persistence probabilities
Abstract
We derive explicit formulae for the expected volume and the expected number of facets of the convex hull of several multidimensional Gaussian random walks in terms of the Gaussian persistence probabilities. Special cases include the already known results about the convex hull of a single Gaussian random walk and the -dimensional Gaussian polytope with or without the origin.
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Taxonomy
TopicsPoint processes and geometric inequalities · Diffusion and Search Dynamics · Geometry and complex manifolds
