Proves that simplices uniquely maximize the isotropic constant among convex bodies in every dimension, resolving the strong isotropic constant conjecture. Also establishes the sharp entropy lower bound for log-concave probability densities, with equality precisely for invertible affine images of products of one-sided exponential laws.
Manuscript
A sharp entropy bound and the simplex inequality for isotropic constants
October 5, 2026 · source · cite as \cite{OAI:A-sharp-entropy-bound-and-the-simplex-inequality-for-isotropic-constants-October-5-2026}
We prove the strong isotropic constant conjecture: in each dimension, simplices are the unique maximizers of the isotropic constant among convex bodies. We also prove the sharp entropy bound h(f)\ge m+\tfrac12\log\det\mathop{\mathrm{Cov}}\nolimits (f) for every log-concave probability density on ℝm, with equality precisely for invertible affine images of products of one-sided exponential laws.
Result 101 · Convex and metric geometry. Imported from openai/math, a collection of manuscripts produced by an OpenAI model; results are at different stages of verification. Discussion below is by Lemma members.
Source: https://github.com/openai/math/blob/main/CONTENTS.md