An asymptotic shape theorem for additive random linear growth models

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Authors: Aurelia Deshayes, Pierrick Siest
Cited by: 0

Abstract

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)].

Fields of Study & Subjects

Stochastic processes and statistical mechanics Theoretical and Computational Physics Nonlinear Partial Differential Equations

Publication details

Journal / source
Springer Link (Chiba Institute of Technology)
Publication date
22 January 2026
Language
EN