In the paper, we describe a novel kind of multisymplectic method for three-dimensional (3-D) Maxwell's equations. Splitting the 3-D Maxwell's equations into three local onedimensional (LOD) equations, then applying a pair of symplectic Runge-Kutta methods to discretize each resulting LOD equation, i
Symplectic and multisymplectic numerical methods for Maxwell’s equations
✍ Scribed by Y. Sun; P.S.P. Tse
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 791 KB
- Volume
- 230
- Category
- Article
- ISSN
- 0021-9991
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✦ Synopsis
In this paper, we compare the behaviour of one symplectic and three multisymplectic methods for Maxwell's equations in a simple medium. This is a system of PDEs with symplectic and multisymplectic structures. We give a theoretical discussion of how some numerical methods preserve the discrete versions of the local and global conservation laws and verify this behaviour in numerical experiments. We also show that these numerical methods preserve the divergence. Furthermore, we extend the discussion on dispersion for (multi)symplectic methods applied to PDEs with one spatial dimension, to include anisotropy when applying (multi)symplectic methods to Maxwell's equations in two spatial dimensions. Lastly, we demonstrate how varying the Courant-Friedrichs-Lewy (CFL) number can cause the (multi)symplectic methods in our comparison to behave differently, which can be explained by the study of backward error analysis for PDEs.
📜 SIMILAR VOLUMES
## Abstract Optimal symplectic integrators were proposed to improve the accuracy in numerical solution of time‐domain Maxwell's equations. The proposed symplectic scheme has almost the same stability and numerical dispersion as the mostly used fourth‐order symplectic scheme, but acquires more effic