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Bibliographic Details
Main Authors: Deshayes, Aurelia, Siest, Pierrick
Format: Preprint
Published: 2015
Subjects:
Online Access:https://arxiv.org/abs/1505.05000
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author Deshayes, Aurelia
Siest, Pierrick
author_facet Deshayes, Aurelia
Siest, Pierrick
contents In this paper, we define a class of additive random growth models whose growth is at least and at most linear and prove an asymptotic shape theorem for these models. This proof generalizes already known proofs for the classical contact process or some of its variants and allows us to obtain conjectured asymptotic shape theorems for Richardson's model with stirring and the contact process with stirring.
format Preprint
id arxiv_https___arxiv_org_abs_1505_05000
institution arXiv
publishDate 2015
record_format arxiv
spellingShingle An asymptotic shape theorem for additive random linear growth models
Deshayes, Aurelia
Siest, Pierrick
Probability
In this paper, we define a class of additive random growth models whose growth is at least and at most linear and prove an asymptotic shape theorem for these models. This proof generalizes already known proofs for the classical contact process or some of its variants and allows us to obtain conjectured asymptotic shape theorems for Richardson's model with stirring and the contact process with stirring.
title An asymptotic shape theorem for additive random linear growth models
topic Probability
url https://arxiv.org/abs/1505.05000