Stability and convergence analysis of A linear, fully decoupled and unconditionally energy stable scheme for magneto-hydrodynamic equations
Guodong Zhang, Xiaoming He, Xiaofeng Yang

TL;DR
This paper introduces a linear, fully decoupled, energy-stable time-stepping scheme for magneto-hydrodynamic equations, ensuring stability and accuracy in complex simulations like Kelvin-Helmholtz instability.
Contribution
It develops a novel linear, decoupled scheme with proven unconditional energy stability and optimal error estimates for MHD systems.
Findings
Scheme is unconditionally energy stable.
Numerical experiments confirm stability and accuracy.
Effective in simulating benchmark MHD problems.
Abstract
In this paper, we consider numerical approximations for solving the nonlinear magneto-hydrodynamical system, that couples the Navier-Stokes equations and Maxwell equations together. A challenging issue to solve this model numerically is about the time marching problem, i.e., how to develop suitable temporal discretizations for the nonlinear terms in order to preserve the energy stability at the discrete level. We solve this issue in this paper by developing a linear, fully decoupled, first order time-stepping scheme, by combining the projection method and some subtle implicit-explicit treatments for nonlinear coupling terms. We further prove that the scheme is unconditional energy stable and derive the optimal error estimates rigorously. Various numerical experiments are implemented to demonstrate the stability and the accuracy in simulating some benchmark simulations, including 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
TopicsAdvanced Numerical Methods in Computational Mathematics · Navier-Stokes equation solutions · Computational Fluid Dynamics and Aerodynamics
