English

Quenched central limit theorem for the stochastic heat equation in weak disorder

Probability 2018-09-25 v2

Abstract

We continue with the study of the mollified stochastic heat equation in d3d\geq 3 given by duϵ,t=12Δuϵ,t+βϵ(d2)/2uϵ,tdBϵ,td u_{\epsilon,t}=\frac 12\Delta u_{\epsilon,t}+ \beta \epsilon^{(d-2)/2} \,u_{\epsilon,t} \,d B_{\epsilon,t} with spatially smoothened cylindrical Wiener process BB, whose (renormalized) Feynman-Kac solution describes the partition function of the continuous directed polymer. In an earlier work (\cite{MSZ16}), a phase transition was obtained, depending on the value of β>0\beta>0 in the limiting object of the smoothened solution uϵu_\epsilon as the smoothing parameter ϵ0\epsilon\to 0 This partition function naturally defines a quenched polymer path measure and we prove that as long as β>0\beta>0 stays small enough while uϵu_\epsilon converges to a strictly positive non-degenerate random variable, the distribution of the diffusively rescaled Brownian path converges under the aforementioned polymer path measure to standard Gaussian distribution.

Keywords

Cite

@article{arxiv.1710.00631,
  title  = {Quenched central limit theorem for the stochastic heat equation in weak disorder},
  author = {Yannic Broeker and Chiranjib Mukherjee},
  journal= {arXiv preprint arXiv:1710.00631},
  year   = {2018}
}

Comments

Minor revision