English

On weak convergence of stochastic heat equation with colored noise

Probability 2015-07-21 v1

Abstract

In this work we are going to show weak convergence of a probability measure corresponding to the solution of the following nonlinear stochastic heat equation tut(x)=κ2Δut(x)+σ(ut(x))ηα\frac{\partial}{\partial t} u_{t}(x) = \frac{\kappa}{2} \Delta u_{ t}(x) + \sigma(u_{t}(x))\eta_\alpha with colored noise ηα\eta_\alpha to the measure corresponding to the solution of the same equation but with white noise η\eta as α1\alpha \uparrow 1 on the space of continuous functions with compact support. The noise ηα\eta_\alpha is assumed to be colored in space and its covariance is given by E[ηα(t,x)ηα(s,y)]=δ(ts)fα(xy)\operatorname{E} \left[ \eta_\alpha(t,x) \eta_\alpha(s,y) \right] = \delta(t-s) f_\alpha(x-y) where fαf_\alpha is the Riesz kernel fα(x)1/xαf_\alpha(x) \propto 1/\left|x\right|^\alpha. We will also state a result about continuity of measure in α\alpha, for α(0,1)\alpha \in (0,1). We will work with the classical notion of weak convergence of measures.

Keywords

Cite

@article{arxiv.1507.05385,
  title  = {On weak convergence of stochastic heat equation with colored noise},
  author = {Pavel Bezdek},
  journal= {arXiv preprint arXiv:1507.05385},
  year   = {2015}
}