Volume 2, Issue 2
Note on Finding an Optimal Deflation for Quadratic Matrix Polynomials

Xin Liang

CSIAM Trans. Appl. Math., 2 (2021), pp. 336-356.

Published online: 2021-05

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  • Abstract

This paper is concerned with the way to find an optimal deflation for the eigenvalue problem associated with quadratic matrix polynomials. This work is a response of the work by Tisseur et al., $Linear$ $Algebra$ $Appl$., $435:464-479, 2011$, and solves one of open problems raised by them. We build an equivalent unconstrained optimization problem on eigenvalues of a hyperbolic quadratic matrix polynomial of order 2, and develop a technique that transforms the quadratic matrix polynomial to an equivalent one that is easy to solve. Numerical tests are given to illustrate several properties of the problem.

  • AMS Subject Headings

65F35, 65F15

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COPYRIGHT: © Global Science Press

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@Article{CSIAM-AM-2-336, author = {Liang , Xin}, title = {Note on Finding an Optimal Deflation for Quadratic Matrix Polynomials}, journal = {CSIAM Transactions on Applied Mathematics}, year = {2021}, volume = {2}, number = {2}, pages = {336--356}, abstract = {

This paper is concerned with the way to find an optimal deflation for the eigenvalue problem associated with quadratic matrix polynomials. This work is a response of the work by Tisseur et al., $Linear$ $Algebra$ $Appl$., $435:464-479, 2011$, and solves one of open problems raised by them. We build an equivalent unconstrained optimization problem on eigenvalues of a hyperbolic quadratic matrix polynomial of order 2, and develop a technique that transforms the quadratic matrix polynomial to an equivalent one that is easy to solve. Numerical tests are given to illustrate several properties of the problem.

}, issn = {2708-0579}, doi = {https://doi.org/10.4208/csiam-am.2021.nla.05}, url = {http://global-sci.org/intro/article_detail/csiam-am/18888.html} }
TY - JOUR T1 - Note on Finding an Optimal Deflation for Quadratic Matrix Polynomials AU - Liang , Xin JO - CSIAM Transactions on Applied Mathematics VL - 2 SP - 336 EP - 356 PY - 2021 DA - 2021/05 SN - 2 DO - http://doi.org/10.4208/csiam-am.2021.nla.05 UR - https://global-sci.org/intro/article_detail/csiam-am/18888.html KW - deflation, quadratic matrix polynomials, hyperbolic, eigenvalue optimization. AB -

This paper is concerned with the way to find an optimal deflation for the eigenvalue problem associated with quadratic matrix polynomials. This work is a response of the work by Tisseur et al., $Linear$ $Algebra$ $Appl$., $435:464-479, 2011$, and solves one of open problems raised by them. We build an equivalent unconstrained optimization problem on eigenvalues of a hyperbolic quadratic matrix polynomial of order 2, and develop a technique that transforms the quadratic matrix polynomial to an equivalent one that is easy to solve. Numerical tests are given to illustrate several properties of the problem.

Liang , Xin. (2021). Note on Finding an Optimal Deflation for Quadratic Matrix Polynomials. CSIAM Transactions on Applied Mathematics. 2 (2). 336-356. doi:10.4208/csiam-am.2021.nla.05
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