On Convergence of MRQI and IMRQI Methods for Hermitian Eigenvalue Problems

被引:1
|
作者
Chen, Fang [1 ]
Miao, Cun-Qiang [2 ]
Muratova, Galina V. [3 ]
机构
[1] Beijing Informat Sci & Technol Univ, Sch Appl Sci, Beijing 100192, Peoples R China
[2] Cent South Univ, Sch Math & Stat, Changsha 410083, Peoples R China
[3] Southern Fed Univ, Lab Computat Mech, II Vorovich Inst Math Mech & Comp Sci, Rostov Na Donu 344090, Russia
基金
中国国家自然科学基金;
关键词
Hermitian eigenvalue problem; MRQI; IMRQI; Convergence; 65F10; 65F15; LOCAL QUADRATIC CONVERGENCE; DAVIDSON METHOD;
D O I
10.1007/s42967-020-00079-1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:189 / 197
页数:9
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