English

Onset of pattern formation for the stochastic Allen-Cahn equation

Probability 2024-11-04 v2 Analysis of PDEs

Abstract

We study the behavior of the solution of a stochastic Allen-Cahn equation u\epst=122u\epsx2+u\epsu\eps3+\epsW˙\frac{\partial u_\eps }{\partial t}=\frac 12 \frac{\partial^2 u_\eps }{\partial x^2}+ u_\eps -u_\eps^3+\sqrt\eps\, \dot W, with Dirichlet boundary conditions on a suitably large space interval [L\eps,L\eps][-L_\eps , L_\eps], starting from the identically zero function, and where W˙\dot W is a space-time white noise. Our main goal is the description, in the small noise limit, of the onset of the phase separation, with the emergence of spatial regions where u\epsu_\eps becomes close 11 or 1-1. The time scale and the spatial structure are determined by a suitable Gaussian process that appears as the solution of the corresponding linearized equation. This issue has been initially examined by De Masi et al. [Ann. Probab. {\bf 22}, (1994), 334-371] in the related context of a class of reaction-diffusion models obtained as a superposition of a speeded up stirring process and a spin flip dynamics on {1,1}Z\eps\{-1,1\}^{\mathbb{Z}_\eps}, where Z\eps=Z\mathbb{Z}_\eps=\mathbb{Z} modulo \eps1L\eps\lfloor\eps^{-1}L_\eps\rfloor.

Keywords

Cite

@article{arxiv.2311.05526,
  title  = {Onset of pattern formation for the stochastic Allen-Cahn equation},
  author = {Stella Brassesco and Glauco Valle and Maria Eulália Vares},
  journal= {arXiv preprint arXiv:2311.05526},
  year   = {2024}
}