FR4.R4.4

McKean’s Conjecture Under the Log-Concavity Assumption

Yanlin Geng, Xidian University, China

Session:
Entropy Power Inequalities

Track:
9: Shannon Theory

Location:
Omikron II

Presentation Time:
Fri, 12 Jul, 17:25 - 17:45

Session Chair:
Olivier Rioul, Institut Polytechnique de Paris
Abstract
McKean conjectured that Gaussian random variables are optimal for the $n$-th order derivative of differential entropy along the heat flow, and verified this for $n=1$, $2$. Recently, Zhang, Anantharam and Geng introduced the linear matrix inequality approach to show that this conjecture holds for $n\leq 5$ under the log-concavity assumption. In this work, with the same assumption, we improve their method using the positive semidefinite reformulation and validate McKean's conjecture for $n\leq 9$, and also the completely monotone conjecture for $n\leq 11$.
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