Bounds on some geometric functionals of high dimensional Brownian convex hulls and their inverse processes
Hugo Panzo, Evan Socher

TL;DR
This paper establishes bounds on geometric functionals of high-dimensional Brownian convex hulls and their inverse processes, extending previous planar results to higher dimensions with precise asymptotic behavior.
Contribution
It introduces a novel embedding procedure for an n-simplex within the convex hull of Brownian motion, providing sharp bounds in high dimensions.
Findings
Expected time for convex hull to reach unit volume is at most n times the n-th root of n!
Bounds accurately reflect asymptotic growth or decay in dimension n
Extends previous planar results to higher-dimensional settings
Abstract
We prove two-sided bounds on the expected values of several geometric functionals of the convex hull of Brownian motion in and their inverse processes. This extends some recent results of McRedmond and Xu (2017), Jovaleki\'{c} (2021), and Cygan, \v{S}ebek, and the first author (2023) from the plane to higher dimensions. Our main result shows that the average time required for the convex hull in to attain unit volume is at most . The proof relies on a novel procedure that embeds an -simplex of prescribed volume within the convex hull of the Brownian path run up to a certain stopping time. All of our bounds capture the correct order of asymptotic growth or decay in the dimension .
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Taxonomy
TopicsPoint processes and geometric inequalities · Stochastic processes and financial applications
