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Auteur principal: Heinävaara, Otte
Format: Preprint
Publié: 2026
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Accès en ligne:https://arxiv.org/abs/2602.10373
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author Heinävaara, Otte
author_facet Heinävaara, Otte
contents We give a precise functional comparison between classical and free convolutions. If $μ$ and $ν$ are compactly supported probability measures, we show that the expectation of $f$ over the classical convolution $μ* ν$ is at least the expectation of $f$ over the free convolution $μ\boxplus ν$, as long as the fourth derivative of $f$ is non-negative. Conversely, the non-negativity of the fourth derivative is necessary for such a comparison. This comparison is based on the positivity of a related measure on $\mathbb{R}^{2}$, which we dub the convolution comparison measure. We give an expression for this measure using a curious identity involving Hermitian matrices.
format Preprint
id arxiv_https___arxiv_org_abs_2602_10373
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Convolution comparison measures
Heinävaara, Otte
Functional Analysis
Operator Algebras
Probability
46L54
We give a precise functional comparison between classical and free convolutions. If $μ$ and $ν$ are compactly supported probability measures, we show that the expectation of $f$ over the classical convolution $μ* ν$ is at least the expectation of $f$ over the free convolution $μ\boxplus ν$, as long as the fourth derivative of $f$ is non-negative. Conversely, the non-negativity of the fourth derivative is necessary for such a comparison. This comparison is based on the positivity of a related measure on $\mathbb{R}^{2}$, which we dub the convolution comparison measure. We give an expression for this measure using a curious identity involving Hermitian matrices.
title Convolution comparison measures
topic Functional Analysis
Operator Algebras
Probability
46L54
url https://arxiv.org/abs/2602.10373