On the quadratic two-parameter eigenvalue problem and its linearization

被引:25
|
作者
Muhic, Andrej [1 ]
Plestenjak, Bor [2 ]
机构
[1] Inst Math Phys & Mech, SI-1000 Ljubljana, Slovenia
[2] Univ Ljubljana, Dept Math, SI-1000 Ljubljana, Slovenia
关键词
Two-parameter quadratic eigenvalue problem; Singular two-parameter eigenvalue problem; Model updating; Linearization; Kronecker canonical form; GENERALIZED SCHUR DECOMPOSITION; ARBITRARY PENCIL-A; ROBUST SOFTWARE; ERROR-BOUNDS; LAMBDA-B;
D O I
10.1016/j.laa.2009.12.022
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We introduce the quadratic two-parameter eigenvalue problem and linearize it as a singular two-parameter eigenvalue problem. This, together with an example from model updating, shows the need for numerical methods for singular two-parameter eigenvalue problems and for a better understanding of such problems. There are various numerical met hods for two-parameter eigenvalue problems, but only few for nonsingular ones. We present a method that can be applied to singular two-parameter eigenvalue problems including the linearization of the quadratic two-parameter eigenvalue problem. It is based on the staircase algorithm for the extraction of the common regular part of two singular matrix pencils. (C) 2009 Elsevier Inc. All rights reserved.
引用
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页码:2529 / 2542
页数:14
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