The distance problem via subadditivity

Fuente: arXiv
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Auteur principal: Gross, Renan
Format: Preprint
Publié: 2025
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author Gross, Renan
author_facet Gross, Renan
contents In a recent paper, Aldous, Blanc and Curien asked which distributions can be expressed as the distance between two independent random variables on some separable measured metric space. We show that every nonnegative discrete distribution whose support contains $0$ arises in this way, as well as a class of finitely supported distributions with density.
format Preprint
id arxiv_https___arxiv_org_abs_2501_11445
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The distance problem via subadditivity
Gross, Renan
Probability
Metric Geometry
In a recent paper, Aldous, Blanc and Curien asked which distributions can be expressed as the distance between two independent random variables on some separable measured metric space. We show that every nonnegative discrete distribution whose support contains $0$ arises in this way, as well as a class of finitely supported distributions with density.
title The distance problem via subadditivity
topic Probability
Metric Geometry
url https://arxiv.org/abs/2501.11445