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Main Authors: Azmoodeh, Ehsan, Beelders, Noah, Mishura, Yuliya
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.02248
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author Azmoodeh, Ehsan
Beelders, Noah
Mishura, Yuliya
author_facet Azmoodeh, Ehsan
Beelders, Noah
Mishura, Yuliya
contents In this short note, we introduce probabilistic Cauchy functional equations, specifically, functional equations of the following form: $$ f(X_1 + X_2) \stackrel{d}{=} f(X_1) + f(X_2), $$ where $X_1$ and $X_2$ represent two independent identically distributed real-valued random variables governed by a distribution $μ$ having appropriate support on the real line. The symbol $\stackrel{d}{=}$ denotes equality in distribution. When $μ$ follows an exponential distribution, we provide sufficient (regularity) conditions on the function $f$ to ensure that the unique measurable solution to the above equation is solely linear. Furthermore, we present some partial results in the general case, establishing a connection to integrated Cauchy functional equations.
format Preprint
id arxiv_https___arxiv_org_abs_2406_02248
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Probabilistic Cauchy Functional Equations
Azmoodeh, Ehsan
Beelders, Noah
Mishura, Yuliya
Probability
In this short note, we introduce probabilistic Cauchy functional equations, specifically, functional equations of the following form: $$ f(X_1 + X_2) \stackrel{d}{=} f(X_1) + f(X_2), $$ where $X_1$ and $X_2$ represent two independent identically distributed real-valued random variables governed by a distribution $μ$ having appropriate support on the real line. The symbol $\stackrel{d}{=}$ denotes equality in distribution. When $μ$ follows an exponential distribution, we provide sufficient (regularity) conditions on the function $f$ to ensure that the unique measurable solution to the above equation is solely linear. Furthermore, we present some partial results in the general case, establishing a connection to integrated Cauchy functional equations.
title Probabilistic Cauchy Functional Equations
topic Probability
url https://arxiv.org/abs/2406.02248