About the isotropy constant of random convex sets
David Alonso-Gutierrez

TL;DR
This paper proves that the isotropy constant of a symmetric convex hull of sufficiently many random vectors on the sphere is bounded with high probability, advancing understanding of geometric properties of random convex sets.
Contribution
It establishes a probabilistic bound on the isotropy constant for convex hulls of random vectors, extending previous results to a broader range of m relative to n.
Findings
Isotropy constant is bounded with high probability when m ≥ (1+δ)n.
The bound depends only on δ, not on n or m directly.
Results hold for vectors uniformly distributed on the sphere.
Abstract
Let K be the symmetric convex hull of m independent random vectors uniformly distributed on the unit sphere of R^n. We prove that, for every , the isotropy constant of K is bounded by a constant with high probability, provided that .
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Taxonomy
TopicsPoint processes and geometric inequalities · Functional Equations Stability Results · Mathematical Dynamics and Fractals
