Equilibrium preserving space in discontinuous Galerkin methods for hyperbolic balance laws
Jiahui Zhang, Yinhua Xia, Yan Xu

TL;DR
This paper introduces a high-order discontinuous Galerkin method that preserves equilibrium states exactly for hyperbolic balance laws, including complex steady states, without requiring reference state recovery or special source term treatments.
Contribution
The paper presents a novel framework for well-balanced DG methods that approximate equilibrium variables in polynomial space, enabling exact steady state preservation for complex hyperbolic systems.
Findings
Accurately preserves hydrostatic and moving equilibria.
Achieves high-order accuracy with coarse meshes.
Effectively captures small perturbations near steady states.
Abstract
In this paper, we develop a general framework for the design of the arbitrary high-order well-balanced discontinuous Galerkin (DG) method for hyperbolic balance laws, including the compressible Euler equations with gravitation and the shallow water equations with horizontal temperature gradients (referred to as the Ripa model). Not only the hydrostatic equilibrium including the more complicated isobaric steady state in Ripa system, but our scheme is also well-balanced for the exact preservation of the moving equilibrium state. The strategy adopted is to approximate the equilibrium variables in the DG piecewise polynomial space, rather than the conservative variables, which is pivotal in the well-balanced property. Our approach provides flexibility in combination with any consistent numerical flux, and it is free of the reference equilibrium state recovery and the special source term…
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
TopicsAdvanced Numerical Methods in Computational Mathematics · Differential Equations and Numerical Methods · Stability and Controllability of Differential Equations
