Multitype self-similar growth-fragmentation processes
William Da Silva, Juan Carlos Pardo

TL;DR
This paper extends self-similar growth-fragmentation processes to multiple types, analyzing the law of the spine and empirical measures using genealogical martingales and Markov additive processes, with new results on MAPs.
Contribution
It introduces a multitype framework for growth-fragmentation processes, generalizing previous signed cases and developing new tools for MAPs and multiplicative cascades.
Findings
Law of the spine in multitype setting derived
Genealogical martingales constructed for analysis
Limit of empirical measure of fragments studied
Abstract
In this paper, we are interested in multitype self-similar growth-fragmentation processes. More precisely, we investigate a multitype version of the self-similar growth-fragmentation processes introduced by Bertoin, therefore extending the signed case (considered by the first author in a previous work) to finitely many types. Our main result in this direction describes the law of the spine in the multitype setting. In order to do so, we introduce two genealogical martingales, in the same spirit as in the positive case, which allow us not only to obtain the law of the spine but also to study the limit of the empirical measure of fragments. We stress that our arguments only rely on the structure of the underlying Markov additive processes (MAPs), and hence is more general than the treatment of the signed case. Our methods also require new results on exponential functionals for MAPs and a…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Point processes and geometric inequalities
