Abstract

Aiming at conservative Maxwell equations with periodic oscillatory solutions, we adopt exponentially fitted trapezoidal scheme to approximate the temporal and spatial derivatives. The scheme is a multisymplectic scheme. Under periodic boundary condition, the scheme satisfies two discrete energy conservation laws. The scheme also preserves two discrete divergences. To reduce computation cost, we split the original Maxwell equations into three local one-dimension (LOD) Maxwell equations. Then exponentially fitted trapezoidal scheme, applied to the resulted LOD equations, generates LOD multisymplectic scheme. We prove the unconditional stability and convergence of the LOD multisymplectic scheme. Convergence of numerical dispersion relation is also analyzed. At last, we present two numerical examples with periodic oscillatory solutions to confirm the theoretical analysis. Numerical results indicate that the LOD multisymplectic scheme is efficient, stable and conservative in solving conservative Maxwell equations with oscillatory solutions. In addition, to one-dimension Maxwell equations, we apply least square method and LOD multisymplectic scheme to fit the electric permittivity by using exact solution disturbed with small random errors as measured data. Numerical results of parameter inversion fit well with measured data, which shows that least square method combined with LOD multisymplectic scheme is efficient to estimate the model parameter under small random disturbance.

Highlights

  • Maxwell equations are basic and important mathematical physical models in electromagnetism

  • First we check the convergence by comparing the results of LODEFMS scheme and central box scheme to solve above one-dimension Maxwell equations with oscillatory solution

  • Conservative Maxwell equations with periodic oscillatory solutions are investigated numerically

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Summary

Introduction

Maxwell equations are basic and important mathematical physical models in electromagnetism. We apply exponentially fitted trapezoidal scheme to construct multisymplectic scheme to simulate Maxwell equations with oscillatory solutions. The exponentially fitted Runge-Kutta method is a kind of efficient numerical tool to simulate ordinary differential equation with oscillatory solutions [27,28,29,30]. Based on the multisymplectic formula (3), we can design multisymplectic schemes of Maxwell equations with oscillatory solutions by applying exponentially fitted Runge-Kutta method. : Define the difference operator as follows dtun 1⁄4 unþ À un; dxui 1⁄4 uiþ À ui; dyuj 1⁄4 ujþ À uj; dzuk 1⁄4 ukþ À uk: Below, we apply exponentially fitted trapezoidal scheme in temporal and spatial directions to discretize the multisymplectic Hamiltonian system (3) and get the numerical method as follows: M d Zn t iþ12;jþ12;kþ at þ.

H Enþ12 xk y az dx
À ot 64 3 m ox 3 ε ox
À at ð41Þ
Conclusion
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