An Adaptive Multiresoluton Discontinuous Galerkin Method for Time-Dependent Transport Equations in Multi-dimensions
This work provides a novel adaptive scheme for deterministic kinetic simulations, addressing the computational challenge of high-dimensional transport problems.
The paper develops an adaptive multiresolution discontinuous Galerkin method for multi-dimensional time-dependent transport equations, achieving computational cost reduction comparable to sparse grid methods for smooth solutions while automatically capturing fine local structures for non-smooth solutions, demonstrated on Vlasov-Poisson systems.
In this paper, we develop an adaptive multiresolution discontinuous Galerkin (DG) scheme for time-dependent transport equations in multi-dimensions. The method is constructed using multiwavlelets on tensorized nested grids. Adaptivity is realized by error thresholding based on the hierarchical surplus, and the Runge-Kutta DG (RKDG) scheme is employed as the reference time evolution algorithm. We show that the scheme performs similarly to a sparse grid DG method when the solution is smooth, reducing computational cost in multi-dimensions. When the solution is no longer smooth, the adaptive algorithm can automatically capture fine local structures. The method is therefore very suitable for deterministic kinetic simulations. Numerical results including several benchmark tests, the Vlasov-Poisson (VP) and oscillatory VP systems are provided.