An asymptotic shape theorem for additive random linear growth models
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 [T.E. Harris, Ann. Probab. 2 (1974) 969–988; R. Durrett and D. Griffeath, Z. Wahrsch. Verw. Gebiete 59 (1982) 535–552] or some of its variants (contact process on supercritical random environment [O. Garet and R. Marchand, Ann. Appl. Probab. 22 (2012) 1362–1410] or contact process with aging [A. Deshayes, ALEA Lat. Am. J. Probab. Math. Stat. 11 (2014) 845–883]) and allows us to obtain conjectured asymptotic shape theorems for Richardson’s model with stirring and the contact process with stirring [R. Marchand et al., arXiv 2504.03627 (2025)].
Authors
- Aurelia Deshayes
- Pierrick Siest
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Paris-Est Créteil (FR)
- Institut Élie Cartan de Lorraine (FR)
- Laboratoire d’Analyse et de Mathématiques Appliquées (FR)
- Université Gustave Eiffel (FR)
- Université de Lorraine (FR)
Publication Details
- Journal
- ESAIM Probability and Statistics
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1051/ps/2025016
- Primary Topic
- Stochastic processes and statistical mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00