Title
SOAR: A Second-order Arnoldi Method for the Solution of the Quadratic Eigenvalue Problem
Abstract
We first introduce a second-order Krylov subspace $\mathcal{G}_n$(A,B;u) based on a pair of square matrices A and B and a vector u. The subspace is spanned by a sequence of vectors defined via a second-order linear homogeneous recurrence relation with coefficient matrices A and B and an initial vector u. It generalizes the well-known Krylov subspace $\mathcal{K}_n$(A;v), which is spanned by a sequence of vectors defined via a first-order linear homogeneous recurrence relation with a single coefficient matrix A and an initial vector v. Then we present a second-order Arnoldi (SOAR) procedure for generating an orthonormal basis of $\mathcal{G}_n$(A,B;u). By applying the standard Rayleigh--Ritz orthogonal projection technique, we derive an SOAR method for solving a large-scale quadratic eigenvalue problem (QEP). This method is applied to the QEP directly. Hence it preserves essential structures and properties of the QEP. Numerical examples demonstrate that the SOAR method outperforms convergence behaviors of the Krylov subspace--based Arnoldi method applied to the linearized QEP.
Year
DOI
Venue
2005
10.1137/S0895479803438523
SIAM J. Matrix Analysis Applications
Keywords
Field
DocType
second-order krylov subspace,quadratic eigenvalue problem,linearized qep,initial vector v,soar method,coefficient matrices a,initial vector u,second-order arnoldi method,well-known krylov subspace,second-order arnoldi,krylov subspace,rayleigh-ritz orthogonal projection,second-order arnoldi procedure,arnoldi method,orthogonal projection,first order,second order,recurrence relation
Krylov subspace,Mathematical optimization,Coefficient matrix,Generalized minimal residual method,Recurrence relation,Matrix (mathematics),Square matrix,Orthonormal basis,Quadratic eigenvalue problem,Mathematics
Journal
Volume
Issue
ISSN
26
3
0895-4798
Citations 
PageRank 
References 
45
3.07
4
Authors
2
Name
Order
Citations
PageRank
Zhaojun Bai1661107.69
Yangfeng Su223522.05