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Functional limit theorems for Galton--Watson processes with inhomogeneous immigration
Abstract
We study the asymptotic behavior of a sequence of Galton--Watson processes with inhomogeneous immigration when the limit of the means of the offspring distributions is less than $1$ or equal to $1$. Under growth conditions on the expected values of the immigration distributions and the variances of the offspring distributions, and assuming the weak convergence of properly scaled immigration processes towards a non-negative stochastic process 𝒴 with càdlàg or continuous sample paths, we establish functional limit theorems for the sequence of Galton--Watson processes with inhomogeneous immigration in question. The limit stochastic processes can be represented as a constant multiple or an integral functional of 𝒴 .
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BibTeX
@misc{barczy2026functional,
title = {{Functional limit theorems for Galton--Watson processes with inhomogeneous immigration}},
author = {Matyas Barczy and Dániel Bezdány},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2609.18503},
eprint = {2609.18503},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.18503},
}
RIS
TY - UNPB
TI - Functional limit theorems for Galton--Watson processes with inhomogeneous immigration
AU - Matyas Barczy
AU - Dániel Bezdány
PY - 2026
DA - 2026/10/26
PB - arXiv
DO - 10.48550/arxiv.2609.18503
UR - https://arxiv.org/abs/2609.18503
AB - We study the asymptotic behavior of a sequence of Galton--Watson processes with inhomogeneous immigration when the limit of the means of the offspring distributions is less than $1$ or equal to $1$. Under growth conditions on the expected values of the immigration distributions and the variances of the offspring distributions, and assuming the weak convergence of properly scaled immigration processes towards a non-negative stochastic process 𝒴 with càdlàg or continuous sample paths, we establish functional limit theorems for the sequence of Galton--Watson processes with inhomogeneous immigration in question. The limit stochastic processes can be represented as a constant multiple or an integral functional of 𝒴 .
ER -