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Entropy concavity for log-concave random variables: an asymmetric counterexample

Congyi Luo

Source record

Source: arXiv

Published: Sep 10, 2026

arXiv: 2609.11418

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Source abstract

The Ball-Nayar-Tkocz entropy concavity conjecture asserts that, if X,YX,Y are independent identically distributed real random variables with a common log-concave density, then the differential entropy of their weighted sum, F(t)=h(1tX+tY),0t1, F(t)=h\bigl(\sqrt{1-t}\,X+\sqrt t\,Y\bigr),\qquad 0\le t\le1, is a concave function of the weight parameter tt. We construct an asymmetric, strictly positive smooth probability density ff with mean zero, variance one, and (logf)0(\log f)'' 0 throughout an endpoint neighborhood 000 0 and J3<0J_3<0, and explicit remainder estimates verify the constructed density and its endpoint curvature. The counterexample does not address the conjecture with an additional symmetry assumption.

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Entropy concavity for log-concave random variables: an asymmetric counterexample — Mathematical Frontier Network