Convergence Rates for Approximating Random Evolution Equations with Finite-Dimensional Noise

This paper presents an abstract framework to obtain convergence rates for the approximation of random evolution equations corresponding to a random family of forms determined by finite-dimensional noise. The full discretisation error in space, time, and randomness is considered, where polynomial chaos expansion (PCE) is used for the semi-discretisation in randomness.