English

Large deviations for the dynamic $\Phi^{2n}_d$ model

Probability 2017-05-02 v1

Abstract

We are dealing with the validity of a large deviation principle for a class of reaction-diffusion equations with polynomial nonlinearity, perturbed by a Gaussian random forcing. We are here interested in the regime where both the strength of the noise and its correlation are vanishing, on a length scale ϵ\epsilon and δ(ϵ)\delta(\epsilon), respectively, with 0<ϵ,δ(ϵ)<<10<\epsilon,\delta(\epsilon)<<1. We prove that, under the assumption that ϵ\epsilon and δ(ϵ)\delta(\epsilon) satisfy a suitable scaling limit, a large deviation principle holds in the space of continuous trajectories with values both in the space of square-integrable functions and in Sobolev spaces of negative exponent. Our result is valid, without any restriction on the degree of the polynomial nor on the space dimension.

Keywords

Cite

@article{arxiv.1705.00541,
  title  = {Large deviations for the dynamic $\Phi^{2n}_d$ model},
  author = {Sandra Cerrai and Arnaud Debussche},
  journal= {arXiv preprint arXiv:1705.00541},
  year   = {2017}
}
R2 v1 2026-06-22T19:32:48.747Z