Numerical studies on structure-preserving algorithms for surface acoustic wave simulations

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We study the generalized eigenvalue problems (GEPs) derived from modeling the surface acoustic wave in piezoelectric materials with periodic inhomogeneity. The eigenvalues appear in the reciprocal pairs due to periodic boundary conditions in the modeling. By transforming the GEP into a T-palindromic quadratic eigenvalue problem (TPQEP), the reciprocal relationship of the eigenvalues can be maintained. In this paper, we outline four recently developed structure-preserving algorithms, SA, SDA, TSHIRA and GTSHIRA, for solving the TPQEP. Numerical comparisons on the accuracy and the computational costs of these algorithm are presented. The eigenvalues close to unit circle on the complex plane are of interest in the area of filter and sensor designs. Our numerical results show that the Arnoldi-type structure-preserving algorithms TSHIRA and GTSHIRA with “re-symplectic” and “re-bi-isotropic” processes, respectively, are as accurate as the SA and SDA algorithms, and more efficient in finding these eigenvalues.

论文关键词:Surface acoustic wave,Palindromic quadratic eigenvalue problem,Structure-preserving

论文评审过程:Received 7 May 2011, Revised 21 August 2012, Available online 6 December 2012.

论文官网地址:https://doi.org/10.1016/j.cam.2012.11.020