Saved in:
Bibliographic Details
Main Author: Sarantsev, Andrey
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2603.28093
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915908075651072
author Sarantsev, Andrey
author_facet Sarantsev, Andrey
contents For a random variable $N = 0, 1, 2, \ldots$ we study the following question: When does the sum of $N$ many independent and identically distributed copies of a random variable $X$ have the same law a a nontrivial rescaling of $X$? We show that such $N$-stable random variable exists if and only $1 < \mathbb E[N] < \infty$. Under an additional assumption $\mathbb E[N\ln N] < \infty$, we describe all $N$-stable $X$. We also study a converse problem: For a given $X \ge 0$ with $\mathbb E[X] = 1$, we study the set of all $N$ such that $X$ is $N$-stable. Distributions of $N$ form a semigroup with respect to composition of probability generating functions. We show these probability generating functions need to commute with respect to composition. We present explicit families of composition semigroups. Equivalent formulations have appeared in difference forms, and this article aims to unify and extend them.
format Preprint
id arxiv_https___arxiv_org_abs_2603_28093
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Random Stability of Random Variables
Sarantsev, Andrey
Probability
60E07, 60E10, 60J80
For a random variable $N = 0, 1, 2, \ldots$ we study the following question: When does the sum of $N$ many independent and identically distributed copies of a random variable $X$ have the same law a a nontrivial rescaling of $X$? We show that such $N$-stable random variable exists if and only $1 < \mathbb E[N] < \infty$. Under an additional assumption $\mathbb E[N\ln N] < \infty$, we describe all $N$-stable $X$. We also study a converse problem: For a given $X \ge 0$ with $\mathbb E[X] = 1$, we study the set of all $N$ such that $X$ is $N$-stable. Distributions of $N$ form a semigroup with respect to composition of probability generating functions. We show these probability generating functions need to commute with respect to composition. We present explicit families of composition semigroups. Equivalent formulations have appeared in difference forms, and this article aims to unify and extend them.
title Random Stability of Random Variables
topic Probability
60E07, 60E10, 60J80
url https://arxiv.org/abs/2603.28093