Front fluctuations for the stochastic Cahn-Hilliard equation
We consider the Cahn-Hilliard equation in one space dimension, perturbed by the derivative of a space and time white noise of intensity $ε^{\frac 12}$, and we investigate the effect of the noise, as $ε\to 0$, on the solutions when the initial condition is a front that separates the two stable phases. We prove that, given $γ< \frac 23$, with probability going to one as $ε\to 0$, the solution remains close to a front for times of the order of $ε^{-γ}$, and we study the fluctuations of the front in this time scaling. They are given by a one dimensional continuous process, self similar of order $\frac 14$ and non Markovian, related to a fractional Brownian motion and for which a couple of representations are given.