Optimal rate of convergence for approximations of SPDEs with non-regular drift
Oleg Butkovsky, Konstantinos Dareiotis, Máté Gerencsér
TL;DR
The optimal strong rate of convergence is proved without posing any regularity assumption on the non-linear reaction term and the proof relies on stochastic sewing techniques.
Abstract
A fully discrete finite difference scheme for stochastic reaction-diffusion equations driven by a $1+1$-dimensional white noise is studied. The optimal strong rate of convergence is proved without posing any regularity assumption on the non-linear reaction term. The proof relies on stochastic sewing techniques.
