On Rayleigh Quotient Iteration for the Dual Quaternion Hermitian Eigenvalue Problem

Shan-Qi Duan, Qing-Wen Wang () and Xue-Feng Duan
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Shan-Qi Duan: Department of Mathematics and Newtouch Center for Mathematics, Shanghai University, Shanghai 200444, China
Qing-Wen Wang: Department of Mathematics and Newtouch Center for Mathematics, Shanghai University, Shanghai 200444, China
Xue-Feng Duan: College of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin 541004, China

Mathematics, 2024, vol. 12, issue 24, 1-21

Abstract: The application of eigenvalue theory to dual quaternion Hermitian matrices holds significance in the realm of multi-agent formation control. In this paper, we study the use of Rayleigh quotient iteration (RQI) for solving the right eigenpairs of dual quaternion Hermitian matrices. Combined with dual representation, the RQI algorithm can effectively compute the eigenvalue along with the associated eigenvector of the dual quaternion Hermitian matrices. Furthermore, by utilizing the minimal residual property of the Rayleigh quotient, a convergence analysis of the Rayleigh quotient iteration is derived. Numerical examples are provided to illustrate the high accuracy and low CPU time cost of the proposed Rayleigh quotient iteration compared with the power method for solving the dual quaternion Hermitian eigenvalue problem.

Keywords: dual quaternion Hermitian matrix; eigenvalue problem; Rayleigh quotient iteration; convergence analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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