High order weak convergence of a spectral Galerkin discretization to stochastic Burgers equation driven by additive noise
Abstract
In this paper, we study high-order weak convergence for a spectral Galerkin approximation to stochastic Burgers equation driven by additive trace-class noise. We first prove $ H^{\gamma} $-regularity $ (1< \gamma
Fields of Study & Subjects
Advanced Numerical Methods in Computational Mathematics
Numerical methods for differential equations
Model Reduction and Neural Networks
Publication details
- Journal / source
- Discrete and Continuous Dynamical Systems - B
- Volume
- 36
- Issue
- 0
- Pages
- 215–231
- Publication date
- 1 January 2026