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General Solutions for a Class of Inverse Quadratic Eigenvalue Problems

Published online by Cambridge University Press:  28 May 2015

Xiaoqin Tan*
Affiliation:
Jiangsu Key Laboratory for NSLSCS, School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China
Li Wang*
Affiliation:
Jiangsu Key Laboratory for NSLSCS, School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China
*
Corresponding author. Email: [email protected]
Corresponding author. Email: [email protected]
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Abstract

Based on various matrix decompositions, we compare different techniques for solving the inverse quadratic eigenvalue problem, where n × n real symmetric matrices M, C and K are constructed so that the quadratic pencil Q(λ) = λ2M + λC + K yields good approximations for the given k eigenpairs. We discuss the case where M is positive definite for 1 ≤ kn, and a general solution to this problem for n + 1 ≤ k ≤ 2n. The efficiency of our methods is illustrated by some numerical experiments.

Type
Research Article
Copyright
Copyright © Global-Science Press 2014

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References

[1]Alvin, K.F. and Park, K.C., Second-order structural identification procedure via state-space-based system identification, AIAAJ. 32, 397406 (1994).CrossRefGoogle Scholar
[2]Cai, Y-F., Kuo, Y-C., Lin, W-W., and Xu, S-F., Solution to a quadratic inverse eigenvalue problem, Linear Algebra Appl. 430, 15901606 (2009).Google Scholar
[3]Chu, M.T., Inverse eigenvalue problems, SIAM Rev. 40, 139 (1998).Google Scholar
[4]Chu, M.T. and Golub, G.H., Structured quadratic inverse eigenvalue problem, Acta Numer. 11, 171 (2002).Google Scholar
[5]Dai, H. and Bai, Z.-Z., On smooth LU decompositions with applications to solutions of nonlinear eigenvalue problems, J. Comput. Math. 28, 745766 (2010).Google Scholar
[6]Datta, B.N., Elhay, S., Ram, Y.M., and Sarkissian, D.R., Partial eigenstructure assignment for the quadratic pencil, J. Sound Vibration 230, 101110 (2000).Google Scholar
[7]Friswell, M.I. and Mottershead, J.E., Finite Element Model Updating in Structural Dynamics, Kluwer Academic Publishers, Dordrecht., 1995.CrossRefGoogle Scholar
[8]Gohberg, I., Lancaster, P., and Rodman, L., Spectral analysis of self adjoint matrix polynomials, Ann. Math. 112, 3371 (1980).Google Scholar
[9]Joseph, K.T., Inverse eigenvalue problem in structral design, AIAAJ. 30, 28902896 (1992).CrossRefGoogle Scholar
[10]Kuo, Y.-C., Lin, W-W., and Xu, S-F., Solutions of the partially described inverse quadratic eigenvalue problem, SIAM J. Matrix Anal. Appl. 29, 3353 (2006).CrossRefGoogle Scholar
[11]Lancaster, P. and Maroulas, J., Inverse eigenvalue problems for damped vibrating system, J. Math Anal. Appl. 123, 238361 (1987).Google Scholar
[12]Lancaster, P. and Prells, U., Inverse Problems for damped vibrating system, J. Sound Vibration 283, 891914 (2005).Google Scholar
[13]Lancaster, P., Inverse spectral problems for semisimple damped vibrating systems, SIAM J. Matrix Anal. Appl. 29, 279301 (2007).CrossRefGoogle Scholar
[14]Liao, A.-P. and Bai, Z.-Z., The constrained solutions of two matrix equations, Acta Math. Sin. 18, 671678 (2002).Google Scholar
[15]Liao, A.-P. and Bai, Z.-Z., Least-squares solution of AXB = D over symmetric positive semidefinite matrices, J. Comput. Math. 21, 175182 (2003).Google Scholar
[16]Liao, A.-P., Bai, Z.-Z., and Lei, Y., Best approximate solution of matrix equation AXB + CYD = E, SIAM J. Matrix Anal. Appl. 27, 675688 (2005).CrossRefGoogle Scholar
[17]Ram, Y.M. and Elhay, S., An inverse eigenvalue problem for the symmetric tridiagonal quadratic pencil with application of damped oscillatory systems, SIAM J. Appl. Math. 56, 232244 (1996).CrossRefGoogle Scholar
[18]Yuan, Y. and Dai, H., On a class of inverse quadratic eigenvalue problem, Linear Algebra Appl. 235, 26622669 (2011).Google Scholar
[19]Yuan, Y. and Dai, H., Solution of an inverse monic quadratic eigenvalue problem, Linear Algebra Appl. 434, 23672381 (2011).Google Scholar