Singular Value Decompositions for Single-Curl Operators in Three-Dimensional Maxwell's Equations for Complex Media
Author(s) -
Ruey-Lin Chern,
Han-En Hsieh,
Tsung-Ming Huang,
Wen-Wei Lin,
Weichung Wang
Publication year - 2015
Publication title -
siam journal on matrix analysis and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.268
H-Index - 101
eISSN - 1095-7162
pISSN - 0895-4798
DOI - 10.1137/140958748
Subject(s) - mathematics , eigenvalues and eigenvectors , hermitian matrix , curl (programming language) , conjugate gradient method , invariant subspace , singular value decomposition , eigendecomposition of a matrix , krylov subspace , coefficient matrix , maxwell's equations , fast fourier transform , mathematical analysis , linear system , linear subspace , pure mathematics , algorithm , physics , quantum mechanics , computer science , programming language
This article focuses on solving the generalized eigenvalue problems (GEP) arising in the source-free Maxwell equation with magnetoelectric coupling effects that models three-dimensional complex media. The goal is to compute the smallest positive eigenvalues, and the main challenge is that the coefficient matrix in the discrete Maxwell equation is indefinite and degenerate. To overcome this difficulty, we derive a singular value decomposition (SVD) of the discrete single-curl operator and then explicitly express the basis of the invariant subspace corresponding to the nonzero eigenvalues of the GEP. Consequently, we reduce the GEP to a null space free standard eigenvalue problem (NFSEP) that contains only the nonzero (complex) eigenvalues of the GEP and can be solved by the shift-and-invert Arnoldi method without being disturbed by the null space. Furthermore, the basis of the eigendecomposition is chosen carefully so that we can apply fast Fourier transformation (FFT-) based matrix vector multiplication t...
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