Radii of Euclidean sections of $\ell_p$-balls
Stanislaw Szarek, Pawel Wolff

TL;DR
This paper investigates the radius of Euclidean sections of $\, ext{l}_p$-balls, especially the $ ext{l}_1$-ball, highlighting new bounds, survey of related results, and discussing algorithmic challenges relevant to theoretical computer science.
Contribution
It provides new insights into the radius of Euclidean sections of $ ext{l}_p$-balls, especially the cross-polytope, and surveys related results across various spaces with open problems and algorithmic considerations.
Findings
Improved bounds on the radius of Euclidean sections of $ ext{l}_1$-balls.
Survey of results for $ ext{l}_p$-spaces and non-commutative analogues.
Discussion of algorithmic challenges in finding nearly spherical sections.
Abstract
The celebrated Dvoretzky theorem asserts that every -dimensional convex body admits central sections of dimension , which is nearly spherical. For many instances of convex bodies, typically unit balls with respect to some norm, much better lower bounds on have been obtained, with most research focusing on such lower bounds and on the degree of approximation of the section by a -dimensional Euclidean ball. In this note we concentrate on another parameter, namely the radius of the approximating ball. We focus on the case of the unit ball of the space (the so-called cross-polytope), which is relevant to various questions of interest in theoretical computer science. We will also survey other instances where similar questions for other normed spaces (most often -spaces or their non-commutative analogues) were found relevant to problems in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Theoretical and Applied Studies in Material Sciences and Geometry · Point processes and geometric inequalities · Mathematical Approximation and Integration
