# Universality for one-dimensional hierarchical coalescence processes with double and triple merges

Abstract : We consider one--dimensional hierarchical coalescence processes (in short HCP) where two or three neighbouring domains can merge. An HCP consists of an infinite sequence of stochastic coalescence processes: each process occurs in a different "epoch" and evolves for an infinite time, while the evolutions in subsequent epochs are linked in such a way that the initial distribution of epoch $n+1$ coincides with the final distribution of epoch $n$. Inside each epoch a domain can incorporate one of its neighbouring domains or both of them if its length belongs to a certain epoch-dependent finite range. Assuming that the distribution at the beginning of the first epoch is described by a renewal simple point process, we prove limit theorems for the domain length and for the position of the leftmost point (if any). Our analysis extends the results obtained in \cite{FMRT0} to a larger family of models, including relevant examples from the physics literature \cite{BDG}, \cite{SE}. It reveals the presence of a common abstract structure behind models which are apparently very different, thus leading to very similar limit theorems. Finally, we give here a full characterization of the infinitesimal generator for the dynamics inside each epoch, thus allowing to describe the time evolution of the expected value of regular observables in terms of an ordinary differential equation.
Type de document :
Article dans une revue
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2014, 24 (2), pp.476-525
Domaine :

https://hal.archives-ouvertes.fr/hal-00705265
Contributeur : Cristina Toninelli <>
Soumis le : jeudi 7 juin 2012 - 11:14:45
Dernière modification le : mercredi 21 mars 2018 - 18:56:48

### Identifiants

• HAL Id : hal-00705265, version 1
• ARXIV : 1112.4630

### Citation

A. Faggionato, Cyril Roberto, C. Toninelli. Universality for one-dimensional hierarchical coalescence processes with double and triple merges. Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2014, 24 (2), pp.476-525. 〈hal-00705265〉

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