High Order Asymptotic Preserving Nodal Discontinuous Galerkin IMEX Schemes for the BGK Equation
Tao Xiong, Juhi Jang, Fengyan Li, Jing-Mei Qiu

TL;DR
This paper introduces high-order asymptotic preserving nodal discontinuous Galerkin IMEX schemes for the BGK equation, enabling accurate simulations across different regimes and connecting kinetic and macroscopic fluid models.
Contribution
The paper develops two novel high-order AP schemes using DG and IMEX RK methods for the BGK equation, with one scheme offering improved efficiency and formal asymptotic analysis.
Findings
Schemes achieve high-order accuracy across a range of Knudsen numbers.
Scheme II reduces computational cost by roughly half.
Numerical results confirm effectiveness and asymptotic consistency.
Abstract
In this paper, we develop high-order asymptotic preserving (AP) schemes for the BGK equation in a hyperbolic scaling, which leads to the macroscopic models such as the Euler and compressible Navier-Stokes equations in the asymptotic limit. Our approaches are based on the so-called micro-macro formulation of the kinetic equation which involves a natural decomposition of the problem to the equilibrium and the non-equilibrium parts. The proposed methods are formulated for the BGK equation with constant or spatially variant Knudsen number. The new ingredients for the proposed methods to achieve high order accuracy are the following: we introduce discontinuous Galerkin (DG) discretization of arbitrary order of accuracy with nodal Lagrangian basis functions in space; we employ a high order globally stiffly accurate implicit-explicit (IMEX) Runge-Kutta (RK) scheme as time discretization. Two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
