Entropies, cross-entropies and Rényi divergence: sharp three-term inequalities for probability density functions

Fuente: arXiv
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Autori principali: Iagar, Razvan Gabriel, Puertas-Centeno, David
Natura: Preprint
Pubblicazione: 2026
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author Iagar, Razvan Gabriel
Puertas-Centeno, David
author_facet Iagar, Razvan Gabriel
Puertas-Centeno, David
contents A new sharp inequality featuring the differential Rényi entropy, the Rényi divergence and the Rényi cross-entropy of a pair of probability density functions is established. The equality is reached when one of the probability density function is an escort density of the other. This inequality is applied, together with a general framework of a pair of transformations reciprocal to each other, to derive a number of further inequalities involving both classical and new informational functionals. A remarkable fact is that, in all these inequalities, the Rényi divergence of two probability density functions is sharply bounded by quotients of informational functionals of cross-type and single type. More precisely, we derive sharp inequalities composed by relative and cross versions of the absolute moments, or of the Fisher information measures (among others), and involving two and three probability density functions.
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id arxiv_https___arxiv_org_abs_2603_07995
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Entropies, cross-entropies and Rényi divergence: sharp three-term inequalities for probability density functions
Iagar, Razvan Gabriel
Puertas-Centeno, David
Information Theory
A new sharp inequality featuring the differential Rényi entropy, the Rényi divergence and the Rényi cross-entropy of a pair of probability density functions is established. The equality is reached when one of the probability density function is an escort density of the other. This inequality is applied, together with a general framework of a pair of transformations reciprocal to each other, to derive a number of further inequalities involving both classical and new informational functionals. A remarkable fact is that, in all these inequalities, the Rényi divergence of two probability density functions is sharply bounded by quotients of informational functionals of cross-type and single type. More precisely, we derive sharp inequalities composed by relative and cross versions of the absolute moments, or of the Fisher information measures (among others), and involving two and three probability density functions.
title Entropies, cross-entropies and Rényi divergence: sharp three-term inequalities for probability density functions
topic Information Theory
url https://arxiv.org/abs/2603.07995