Three discontinuous Galerkin methods for one- and two-dimensional nonlinear Dirac equations with a scalar self-interaction
Shu-Cun Li, Huazhong Tang

TL;DR
This paper introduces three high-order discontinuous Galerkin methods for solving 1D and 2D nonlinear Dirac equations with scalar self-interaction, demonstrating their accuracy, stability, and ability to capture complex wave phenomena.
Contribution
The paper develops and analyzes three novel high-order DG methods for nonlinear Dirac equations, including stability proofs and numerical validation.
Findings
Methods achieve high-order accuracy and stability.
Numerical experiments confirm effectiveness in simulating wave interactions.
Complex wave patterns like breathing are successfully captured.
Abstract
This paper develops three high-order accurate discontinuous Galerkin (DG) methods for the one-dimensional (1D) and two-dimensional (2D) nonlinear Dirac (NLD) equations with a general scalar self-interaction. They are the Runge-Kutta DG (RKDG) method and the DG methods with the one-stage fourth-order Lax-Wendroff type time discretizaiton (LWDG) and the two-stage fourth-order accurate time discretization (TSDG). The RKDG method uses the spatial DG approximation to discretize the NLD equations and then utilize the explicit multistage high-order Runge-Kutta time discretization for the first-order time derivatives, while the LWDG and TSDG methods, on the contrary, first give the one-stage fourth-order Lax-Wendroff type and the two-stage fourth-order time discretizations of the NLD equations, respectively, and then discretize the first- and higher-order spatial derivatives by using the…
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.
Taxonomy
TopicsNumerical methods for differential equations · Electromagnetic Simulation and Numerical Methods · Differential Equations and Numerical Methods
