金典聪讲师，华中科技大学数学与统计学院

In this talk, we present the pointwise convergence of one-point large deviations rate functions (LDRFs) of the spatial finite difference method and further the fully discrete method based on the temporal accelerated exponential Euler method for stochastic wave equations with small noise. This kind of convergence analysis is essentially about the asymptotical limit of minimization problems. In order to overcome the difficulty that objective functions associated with the original equation and these numerical methods have different effective domains, we propose a new technical route for analyzing the pointwise convergence of the one-point LDRFs of the numerical methods, building on theΓ-convergence of objective functions. Based on the new technical route, the intractable convergence analysis of one-point LDRFs boils down to the qualitative analysis of skeleton equations of the original equation and its numerical methods.