Robust Discontinuous Galerkin Methods Maintaining Physical Constraints for General Relativistic Hydrodynamics
Huihui Cao, Manting Peng, Kailiang Wu

TL;DR
This paper develops high-order discontinuous Galerkin schemes for general relativistic hydrodynamics that preserve physical constraints, eliminate spurious oscillations, and are robust in extreme conditions, advancing accurate and stable simulations.
Contribution
It introduces novel PCP-OEDG schemes with efficient oscillation elimination and robust primitive variable recovery for GRHD, ensuring physical constraints are maintained in complex scenarios.
Findings
Successfully preserves physical constraints in simulations
Handles strong shocks and high Lorentz factors effectively
Demonstrates robustness and accuracy in extreme gravitational fields
Abstract
Simulating general relativistic hydrodynamics (GRHD) presents challenges such as handling curved spacetime, achieving high-order shock-capturing accuracy, and preserving key physical constraints (positive density, pressure, and subluminal velocity) under nonlinear coupling. This paper introduces high-order, physical-constraint-preserving, oscillation-eliminating discontinuous Galerkin (PCP-OEDG) schemes with Harten-Lax-van Leer flux for GRHD. To suppress spurious oscillations near discontinuities, we incorporate a computationally efficient oscillation-eliminating (OE) procedure based on a linear damping equation, maintaining accuracy and avoiding complex characteristic decomposition. To enhance stability and robustness, we construct PCP schemes using the W-form of GRHD equations with Cholesky decomposition of the spatial metric, addressing the non-equivalence of admissible state sets in…
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
TopicsComputational Fluid Dynamics and Aerodynamics · Advanced Numerical Methods in Computational Mathematics · Numerical methods for differential equations
