Convergence of weighted branching processes

Fuente: arXiv
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Autores principales: Villemonais, Denis, Zalduendo, Nicolas
Formato: Preprint
Publicado: 2025
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author Villemonais, Denis
Zalduendo, Nicolas
author_facet Villemonais, Denis
Zalduendo, Nicolas
contents We study the long-term behavior of weighted multi-type branching processes, focusing on extending classical laws of large numbers and martingale convergence to settings with infinitely many weighted particles, arbitrary type spaces and non-geometric rescaling. We demonstrate applications to Galton-Watson trees indexed by random weights and by random kernels, convergence in Wasserstein distance of the underlying mean semi-group, and convergence of ergodic averages along lineages.
format Preprint
id arxiv_https___arxiv_org_abs_2512_07653
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Convergence of weighted branching processes
Villemonais, Denis
Zalduendo, Nicolas
Probability
We study the long-term behavior of weighted multi-type branching processes, focusing on extending classical laws of large numbers and martingale convergence to settings with infinitely many weighted particles, arbitrary type spaces and non-geometric rescaling. We demonstrate applications to Galton-Watson trees indexed by random weights and by random kernels, convergence in Wasserstein distance of the underlying mean semi-group, and convergence of ergodic averages along lineages.
title Convergence of weighted branching processes
topic Probability
url https://arxiv.org/abs/2512.07653