Extremal cross-polytopes and Gaussian vectors
Metric Geometry
2013-06-21 v2 Probability
Abstract
Let C = C(l_1, ..., l_n) be the n-dimensional orthogonal cross-polytope whose axes are of length l_1,..., l_n. Subject to the condition \sum l_i^2 = 1, the mean width of C is minimised when l_i = 1/sqrt{n} for every i, and it is maximised when C is at most two dimensional. As a corollary, a lower bound on the mean width of a general convex body K is derived in terms of the successive inner radii of K. A more general result is presented for Gaussian random vectors.
Cite
@article{arxiv.1208.5923,
title = {Extremal cross-polytopes and Gaussian vectors},
author = {Gergely Ambrus},
journal= {arXiv preprint arXiv:1208.5923},
year = {2013}
}
Comments
10 pages