Weak convergence rates for Euler-type approximations of semilinear stochastic evolution equations with nonlinear diffusion coefficients
Arnulf Jentzen, Ryan Kurniawan

TL;DR
This paper establishes sharp weak convergence rates for Euler-type numerical approximations of semilinear stochastic evolution equations with nonlinear diffusion, filling a significant gap in the understanding of such methods.
Contribution
The article provides the first essentially sharp weak convergence rates for Euler-type methods applied to semilinear SEEs with nonlinear diffusion coefficients.
Findings
Sharp weak convergence rates are proven for linear-implicit Euler approximations.
The approach uses a mild Itô formula and semilinear integrated processes.
Results extend understanding of numerical methods for nonlinear SPDEs.
Abstract
Strong convergence rates for time-discrete numerical approximations of semilinear stochastic evolution equations (SEEs) with smooth and regular nonlinearities are well understood in the literature. Weak convergence rates for time-discrete numerical approximations of such SEEs have been investigated since about 12 years and are far away from being well understood: roughly speaking, no essentially sharp weak convergence rates are known for time-discrete numerical approximations of parabolic SEEs with nonlinear diffusion coefficient functions; see Remark 2.3 in [A. Debussche, Weak approximation of stochastic partial differential equations: the nonlinear case, Math. Comp. 80 (2011), no. 273, 89-117] for details. In the recent article [D. Conus, A. Jentzen & R. Kurniawan, Weak convergence rates of spectral Galerkin approximations for SPDEs with nonlinear diffusion coefficients,…
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