Abstract
In this paper, when A and B are {1;1}-quasiseparable matrices, we consider the structured generalized relative eigenvalue condition numbers of the pair \((A, \, B)\) with respect to relative perturbations of the parameters defining A and B in the quasiseparable and the Givens-vector representations of these matrices. A general expression is derived for the condition number of the generalized eigenvalue problems of the pair \((A,\, B)\), where A and B are any differentiable function of a vector of parameters with respect to perturbations of such parameters. Moreover, the explicit expressions of the corresponding structured condition numbers with respect to the quasiseparable and Givens-vector representation via tangents for \(\{1; 1\}\)-quasiseparable matrices are derived. Our proposed condition numbers can be computed efficiently by utilizing the recursive structure of quasiseparable matrices. We investigate relationships between various condition numbers of structured generalized eigenvalue problem when A and B are {1;1}-quasiseparable matrices. Numerical results show that there are situations in which the unstructured condition number can be much larger than the structured ones.
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Aurentz, J.L., Mach, T., Vandebril, R., Watkins, D.S.: Fast and backward stable computation of roots of polynomials. SIAM J. Matrix Anal. Appl. 36(3), 942–973 (2015)
Bella, T., Olshevsky, V., Stewart, M.: Nested product decomposition of quasiseparable matrices. SIAM J. Matrix Anal. Appl. 34(4), 1520–1555 (2013)
Boito, P., Eidelman, Y., Gemignani, L.: Implicit QR for rank-structured matrix pencils. BIT Numer. Math. 54(1), 85–111 (2014)
Boito, P., Eidelman, Y., Gemignani, L.: Implicit QR for companion-like pencils. Math. Comput. 85(300), 1753–1774 (2016)
Boito, P., Eidelman, Y., Gemignani, L.: A real QZ algorithm for structured companion pencils. Calcolo 54(4), 1305–1338 (2017)
Buttà, P., Noschese, S.: Structured maximal perturbations for Hamiltonian eigenvalue problems. J. Comput. Appl. Math. 272, 304–312 (2014)
Byers, R., Kressner, D.: On the condition of a complex eigenvalue under real perturbations. BIT 44(2), 209–214 (2004)
Diao, H.: On componentwise condition numbers for eigenvalue problems with structured matrices. Numer. Linear Algebra Appl. 16(2), 87–107 (2009)
Diao, H.-A., Zhao, J.: On structured componentwise condition numbers for Hamiltonian eigenvalue problems. J. Comput. Appl. Math. 335, 74–85 (2018)
Dopico, F.M., Olshevsky, V., Zhlobich, P.: Stability of QR-based fast system solvers for a subclass of quasiseparable rank one matrices. Math. Comput. 82(284), 2007–2034 (2013)
Dopico, F.M., Pomés, K.: Structured condition numbers for linear systems with parameterized quasiseparable coefficient matrices. Numer. Algorithms 73(4), 1131–1158 (2016)
Dopico, F.M., Pomés, K.: Structured eigenvalue condition numbers for parameterized quasiseparable matrices. Numer. Math. 134(3), 473–512 (2016)
Eidelman, Y., Gohberg, I.: On a new class of structured matrices. Integral Equ. Oper. Theory 34(3), 293–324 (1999)
Eidelman, Y., Gohberg, I., Haimovici, I.: Separable Type Representations of Matrices and Fast Algorithms. Vol. 1: Basics. Completion Problems. Multiplication and Inversion Algorithms, volume 234 of Operator Theory: Advances and Applications. Birkhäuser/Springer, Basel (2014)
Eidelman, Y., Gohberg, I., Haimovici, I.: Separable Type Representations of Matrices and Fast Algorithms. Vol. 2, volume 235 of Operator Theory: Advances and Applications (Eigenvalue Method). Birkhäuser/Springer, Basel (2014)
Frayssé, V., Toumazou, V.: A note on the normwise perturbation theory for the regular generalized eigenproblem \({A}x=\lambda {B}x\). Numer. Linear Algebra Appl. 5(1), 1–10 (1998)
Gemignani, L.: Quasiseparable structures of companion pencils under the QZ-algorithm. Calcolo 42(3–4), 215–226 (2005)
Gemignani, L.: Structured Matrix Methods for Polynomial Root-Finding. In: Proceedings of the 2007 International Symposium on Symbolic and Algebraic Computation, pp. 175–180. ACM (2007)
Geurts, A.J.: A contribution to the theory of condition. Numer. Math. 39(1), 85–96 (1982)
Graillat, S.: Structured condition number and backward error for eigenvalue problems. Technical Report RR-2005-01, Université de Perpignan (2005)
Higham, D.J., Higham, N.J.: Structured backward error and condition of generalized eigenvalue problems. SIAM J. Matrix Anal. Appl. 20(2), 493–512 (1999)
Higham, N.J.: A survey of componentwise perturbation theory in numerical linear algebra. In: Mathematics of Computation 1943–1993: A Half-Century of Computational Mathematics (Vancouver, BC, 1993), volume 48 of Proceedings of Symposia in Applied Mathematics, pp. 49–77. American Mathematical Society, Providence (1994)
Kågström, B., Poromaa, P.: Computing eigenspaces with specified eigenvalues of a regular matrix pair \(({A}, {B})\) and condition estimation: theory, algorithms and software. Numer. Algorithms 12(2), 369–407 (1996)
Karow, M.: Structured pseudospectra and the condition of a nonderogatory eigenvalue. SIAM J. Matrix Anal. Appl. 31(5), 2860–2881 (2010)
Karow, M., Kressner, D., Tisseur, F.: Structured eigenvalue condition numbers. SIAM J. Matrix Anal. Appl. 28(4), 1052–1068 (2006). (electronic)
Meng, Q.-L., Diao, H.-A.: Structured condition number for multiple right-hand sides linear systems with parameterized quasiseparable coefficient matrices. Technical Report, Northeast Normal University (2018)
Noschese, S., Pasquini, L.: Eigenvalue condition numbers: zero-structured versus traditional. J. Comput. Appl. Math. 185(1), 174–189 (2006)
Noschese, S., Pasquini, L.: Eigenvalue patterned condition numbers: Toeplitz and Hankel cases. J. Comput. Appl. Math. 206(2), 615–624 (2007)
Rump, S.M.: Eigenvalues, pseudospectrum and structured perturbations. Linear Algebra Appl. 413(2–3), 567–593 (2006)
Stewart, G.W.: Matrix Algorithms. Vol. II: Eigensystems. SIAM, Philadelphia (2001)
Stewart, G.W., Sun, J.G.: Matrix Perturbation Theory. Computer Science and Scientific Computing. Academic Press Inc, Boston (1990)
Stewart, M.: On the description and stability of orthogonal transformations of rank structured matrices. SIAM J. Matrix Anal. Appl. 37(4), 1505–1530 (2016)
Vanberghen, Y., Vandebril, R., Van Barel, M.: A QZ-method based on semiseparable matrices. J. Comput. Appl. Math. 218(2), 482–491 (2008)
Vandebril, R., Van Barel, M., Mastronardi, N.: A note on the representation and definition of semiseparable matrices. Numer. Linear Algebra Appl. 12(8), 839–858 (2005)
Vandebril, R., Van Barel, M., Mastronardi, N.: Matrix Computations and Semiseparable Matrices. Vol. 1: Linear Systems. Johns Hopkins University Press, Baltimore (2008)
Vandebril, R., Van Barel, M., Mastronardi, N.: Matrix Computations and Semiseparable Matrices. Vol. II: Eigenvalue and Singular Value Methods. Johns Hopkins University Press, Baltimore (2008)
Wilkinson, J.H.: The Algebraic Eigenvalue Problem. Clarendon Press, Oxford (1965)
Xi, Y., Xia, J.: On the stability of some hierarchical rank structured matrix algorithms. SIAM J. Matrix Anal. Appl. 37(3), 1279–1303 (2016)
Acknowledgements
The authors thank Prof. Dopico and Dr. Pomés for sending Matlab codes of [12]. We would like to thank two referees for their constructive comments, which led to improvements of our manuscript. Especially, suggestions on how to compute the structured generalized eigenvalue condition numbers efficiently were proposed by two referees, which initiated us into the study of the corresponding works in this manuscript. Also we are in debt to the reviewer for correcting many grammatical typos that have contributed to improve the presentation of the original manuscript.
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Communicated by Daniel Kressner.
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This work was supported by the Fundamental Research Funds for the Central Universities under Grant 2412017FZ007.
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Diao, HA., Meng, QL. Structured generalized eigenvalue condition numbers for parameterized quasiseparable matrices. Bit Numer Math 59, 695–720 (2019). https://doi.org/10.1007/s10543-019-00748-5
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DOI: https://doi.org/10.1007/s10543-019-00748-5
Keywords
- Condition numbers
- Simple generalized eigenvalue
- Low-rank structured matrices
- {1;1}-quasiseparable matrices
- Quasiseparable representation
- Givens-vector representation