Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes
Gilles Bonnet, Daniel Dadush, Uri Grupel, Sophie Huiberts, Galyna, Livshyts

TL;DR
This paper establishes tight asymptotic bounds on the combinatorial diameter of high-dimensional random spherical polytopes, revealing how it scales with the number of defining inequalities and the dimension.
Contribution
It provides the first tight bounds on the diameter of random spherical polytopes, combining probabilistic and geometric techniques to analyze their structure.
Findings
Diameter scales as rac{n m^{1/(n-1)}}
Upper bounds are derived via shadow path analysis
Lower bounds are based on dual polytope properties
Abstract
The combinatorial diameter of a polytope is the maximum shortest path distance between any pair of vertices. In this paper, we provide upper and lower bounds on the combinatorial diameter of a random "spherical" polytope, which is tight to within one factor of dimension when the number of inequalities is large compared to the dimension. More precisely, for an -dimensional polytope defined by the intersection of i.i.d.\ half-spaces whose normals are chosen uniformly from the sphere, we show that is and with high probability when . For the upper bound, we first prove that the number of vertices in any fixed two dimensional projection sharply concentrates around its expectation when is large, where we rely on the $\Theta(n^2…
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