Functional limit theorems for random Lebesgue-Stieltjes convolutions

Fuente: arXiv
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Main Authors: Iksanov, Alexander, Jedidi, Wissem
Format: Preprint
Published: 2025
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author Iksanov, Alexander
Jedidi, Wissem
author_facet Iksanov, Alexander
Jedidi, Wissem
contents We prove joint functional limit theorems in the Skorokhod space equipped with the $J_1$-topology for successive Lebesgue-Stieltjes convolutions of nondecreasing stochastic processes with themselves. These convolutions arise naturally in coupled branching random walks, where the displacements of individuals relative to their mother's position are given by the underlying point process rather than its copy. Surprisingly, the numbers of individuals in the $j$th generation, with positions less than or equal to $t$, exhibit remarkably similar distributional behavior in both standard branching random walks and coupled branching random walks as $t$ tends to infinity.
format Preprint
id arxiv_https___arxiv_org_abs_2508_21780
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Functional limit theorems for random Lebesgue-Stieltjes convolutions
Iksanov, Alexander
Jedidi, Wissem
Probability
We prove joint functional limit theorems in the Skorokhod space equipped with the $J_1$-topology for successive Lebesgue-Stieltjes convolutions of nondecreasing stochastic processes with themselves. These convolutions arise naturally in coupled branching random walks, where the displacements of individuals relative to their mother's position are given by the underlying point process rather than its copy. Surprisingly, the numbers of individuals in the $j$th generation, with positions less than or equal to $t$, exhibit remarkably similar distributional behavior in both standard branching random walks and coupled branching random walks as $t$ tends to infinity.
title Functional limit theorems for random Lebesgue-Stieltjes convolutions
topic Probability
url https://arxiv.org/abs/2508.21780