An example of a non-log-concave distribution where the difference has a log-concave density
Min Wang

TL;DR
This paper provides a counterexample showing that the difference of two i.i.d. random variables with log-concave densities does not necessarily have a log-concave density, challenging a common assumption.
Contribution
It constructs an explicit example demonstrating that the difference of i.i.d. log-concave variables may not be log-concave, disproving a potential converse to the Prékopa-Leindler inequality.
Findings
Counterexample where difference has a log-concave density
Disproves the converse of a known inequality
Highlights limitations of log-concavity properties
Abstract
By the Pr\'ekopa-Leindler inequality, the difference has a log-concave density provided that has a log-concave density and are independent and identically distributed. We prove that the opposite direction does not always hold true by giving an explicit example.
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Taxonomy
TopicsPoint processes and geometric inequalities · Random Matrices and Applications · Limits and Structures in Graph Theory
