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 and , respectively, with . We prove that, under the assumption that and 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}
}