標題: SINGULAR VALUE DECOMPOSITIONS FOR SINGLE-CURL OPERATORS IN THREE-DIMENSIONAL MAXWELL'S EQUATIONS FOR COMPLEX MEDIA
作者: Chern, Ruey-Lin
Hsieh, Han-En
Huang, Tsung-Ming
Lin, Wen-Wei
Wang, Weichung
應用數學系
Department of Applied Mathematics
關鍵字: singular value decomposition;null space free method;discrete single-curl operator;the Maxwell equations;chiral medium;pseudochiral medium
公開日期: 1-一月-2015
摘要: 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 to solve the embedded linear systems efficiently by an iterative method. For chiral and pseudochiral complex media, which are of great interest in magnetoelectric applications, the NFSEP can be further transformed to a null space free GEP whose coefficient matrices are Hermitian and Hermitian positive definite (HHPD-NFGEP). This HHPD-NFGEP can be solved by using the invert Lanczos method without shifting. Furthermore, the embedded linear system can be solved efficiently by using the conjugate gradient method without preconditioning and the FFT- based matrix vector multiplications. Numerical results are presented to demonstrate the efficiency of the proposed methods.
URI: http://dx.doi.org/10.1137/140958748
http://hdl.handle.net/11536/124587
ISSN: 0895-4798
DOI: 10.1137/140958748
期刊: SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
Volume: 36
Issue: 1
起始頁: 203
結束頁: 224
顯示於類別:期刊論文


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