The positivity-preserving high-order semi-Lagrangian spectral volume method for Vlasov-Poisson equations
Xinyue Zhang, Xiaofeng Cai, Waixiang Cao
TL;DR
The paper addresses the challenge of simulating the Vlasov-Poisson system with high fidelity by introducing a high-order semi-Lagrangian spectral-volume (SLSV) method built on operator splitting. The method fuses semi-Lagrangian characteristic tracing with a spectral-volume discretization, and extends to 2D via Strang splitting, while coupling with a Poisson solver and a positivity-preserving limiter. Key contributions include unconditional stability, local mass conservation, positivity preservation, and high-order spatial accuracy demonstrated through extensive 1D/2D tests and VP benchmarks such as Landau damping and two-stream instabilities, including long-time stability at large time steps. The results show that SLSV offers robust, accurate, and efficient long-time VP simulations, with good conservation properties and the ability to handle complex nonlinear phenomena in plasma dynamics.
Abstract
In this paper, a novel high order semi-Lagrangian (SL) spectral volume (SV) method is proposed and studied for nonlinear Vlasov-Poisson (VP) simulations via operator splitting. The proposed algorithm combines both advantages of semi-Lagrangian and spectral volume approaches, exhibiting strong stability, robustness under large time steps, arbitrary high-order accuracy in space, local mass conservation, and positivity preservation. Numerical study of the SLSV method applied to the one-dimensional and two-dimensional transport equations, the Vlasov-Poisson system, the classical benchmark problems including Landau damping and two-stream instabilities is conducted, confirming the effectiveness, accuracy, and robustness of our algorithm in addressing complex nonlinear phenomena.
