ORIGINAL PAPER

On Convergence of MRQI and IMRQI Methods for Hermitian Eigenvalue Problems

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  • 1 School of Applied Science, Beijing Information Science and Technology University, Beijing 100192, China;
    2 School of Mathematics and Statistics, Central South University, Changsha 410083, China;
    3 Laboratory of Computational Mechanics, I.I. Vorovich Institute of Mathematics, Mechanics and Computer Science, Southern Federal University, Rostov-on-Don 344090, Russia

Received date: 2020-03-03

  Revised date: 2020-05-21

  Online published: 2021-03-15

Abstract

Bai et al. proposed the multistep Rayleigh quotient iteration (MRQI) as well as its inexact variant (IMRQI) in a recent work (Comput. Math. Appl. 77: 2396–2406, 2019). These methods can be used to effectively compute an eigenpair of a Hermitian matrix. The convergence theorems of these methods were established under two conditions imposed on the initial guesses for the target eigenvalue and eigenvector. In this paper, we show that these two conditions can be merged into a relaxed one, so the convergence conditions in these theorems can be weakened, and the resulting convergence theorems are applicable to a broad class of matrices. In addition, we give detailed discussions about the new convergence condition and the corresponding estimates of the convergence errors, leading to rigorous convergence theories for both the MRQI and the IMRQI.

Cite this article

Fang Chen, Cun, Qiang Miao, Galina V. Muratova . On Convergence of MRQI and IMRQI Methods for Hermitian Eigenvalue Problems[J]. Communications on Applied Mathematics and Computation, 2021 , 3(1) : 189 -197 . DOI: 10.1007/s42967-020-00079-1

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