The Convergence of Krylov Subspace Methods for Large Unsymmetric Linear Systems
The Convergence of Krylov Subspace Methods for Large Unsymmetric Linear Systems作者机构:Department of Applied Mathematics Dalian University of Technology 116024 Dalian China
出 版 物:《Acta Mathematica Sinica,English Series》 (数学学报(英文版))
年 卷 期:1998年第14卷第4期
页 面:507-518页
核心收录:
学科分类:07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题:Unsymmetric linear systems Convergence Krylov subspace The Chebyshev polynomials Defective Derivatives
摘 要:The convergence problem of many Krylov subspace methods, e.g., FOM, GCR, GMRES and QMR, for solving large unsymmetric (non-Hermitian) linear systems is considered in a unified way when the coefficient matrix A is defective and its spectrum lies in the open right (left) half plane. Related theoretical error bounds are established and some intrinsic relationships between the convergence speed and the spectrum of A are exposed. It is shown that these methods are likely to converge slowly once one of the three cases occurs: A is defective, the distribution of its spectrum is not favorable, or the Jordan basis of A is ill conditioned. In the proof, some properties on the higher order derivatives of Chebyshev polynomials in an ellipse in the complex plane are derived, one of which corrects a result that has been used extensively in the literature.