The distance problem via subadditivity

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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mn>0</mml:mn> </mml:math> arises in this way, as well as a class of compactly supported distributions with density.

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Publication Details

Journal
Annales Henri Lebesgue
Published
2025-12-12
DOI
https://doi.org/10.5802/ahl.254
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
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article

The distance problem via subadditivity

Annales Henri Lebesgue
Random Matrices and Applications
article

The distance problem via subadditivity

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Abstract

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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mn>0</mml:mn> </mml:math> arises in this way, as well as a class of compactly supported distributions with density.

Annales Henri LebesgueVol. 8
University of Cambridge (GB)
Openalex Percentile: Top 26%
Random Matrices and Applications
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The distance problem via subadditivity · Annales Henri Lebesgue (2025) | TGRS Research Map | TGRS