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Autori principali: Gu, Yuzhou, Sellke, Mark
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2605.11656
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author Gu, Yuzhou
Sellke, Mark
author_facet Gu, Yuzhou
Sellke, Mark
contents We provide an explicit probability measure on $\mathbb{R}$ for which the fifth time derivative of the entropy along the heat flow is positive at some time. This disproves the Gaussian completely monotone (GCM) conjecture (Cheng-Geng '15) and therefore also the Gaussian optimality conjecture (McKean '66) and the entropy power conjecture (Toscani '15). Our proof also implies the existence of a log-concave probability measure on $\mathbb{R}$ for which the GCM conjecture fails at some order. The explicit counterexample was found by GPT-5.5 Pro.
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publishDate 2026
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spellingShingle A Counterexample to the Gaussian Completely Monotone Conjecture
Gu, Yuzhou
Sellke, Mark
Probability
Information Theory
We provide an explicit probability measure on $\mathbb{R}$ for which the fifth time derivative of the entropy along the heat flow is positive at some time. This disproves the Gaussian completely monotone (GCM) conjecture (Cheng-Geng '15) and therefore also the Gaussian optimality conjecture (McKean '66) and the entropy power conjecture (Toscani '15). Our proof also implies the existence of a log-concave probability measure on $\mathbb{R}$ for which the GCM conjecture fails at some order. The explicit counterexample was found by GPT-5.5 Pro.
title A Counterexample to the Gaussian Completely Monotone Conjecture
topic Probability
Information Theory
url https://arxiv.org/abs/2605.11656