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The Bauer-Type Factorization of Matrix Polynomials Revisited and Extended

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Abstract

For a Laurent polynomial \(a(\lambda )\), which is Hermitian and positive definite on the unit circle, the Bauer method provides the spectral factorization \(a(\lambda ) = p(\lambda )p{\kern 1pt} {\text{*}}({{\lambda }^{{ - 1}}})\), where \(p(\lambda )\) is a polynomial having all its roots outside the unit circle. Namely, as the size of the banded Hermitian positive definite Toeplitz matrix associated with the Laurent polynomial increases, the coefficients at the bottom of its Cholesky lower triangular factor tend to the coefficients of \(p(\lambda )\). We study extensions of the Bauer method to the non-Hermitian matrix case. In the Hermitian case, we give new convergence bounds with computable coefficients.

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REFERENCES

  1. F. L. Bauer, “Ein direktes Iterationsverfahren zur Hurwitz–Zerlegung eines Polynoms,” Arch. Elektr. Ubertragung. 9, 285–290 (1955).

    MathSciNet  Google Scholar 

  2. F. L. Bauer, “Beiträge zur Entwicklung numerischer Verfahren für programmgesteuerte Rechenanlagen, II. Direkte Faktorisierung eines Polynoms,” Sitzung Bericht Bayerischen Akademische Wissenschaften (1956), pp. 163–203.

    MATH  Google Scholar 

  3. E. A. Biberdorf, “A criterion for the dichotomy of roots of a polynomial on the unit circle,” Sib. Zh. Ind. Math. 3, 16–32 (2000).

    MathSciNet  MATH  Google Scholar 

  4. D. A. Bini, G. Fiorentino, L. Gemignani, and B. Meini, “Effective fast algorithms for polynomial spectral factorization,” Numer. Algorithms 34, 217–227 (2003).

    Article  MathSciNet  MATH  Google Scholar 

  5. D. A. Bini and A. Böttcher, “Polynomial factorization through Toeplitz matrix computation,” Linear Algebra Appl. 366, 25–37 (2003).

    Article  MathSciNet  MATH  Google Scholar 

  6. D. A. Bini and L. Gemignani, “Solving quadratic matrix equations and factoring polynomials: new fixed point iterations based on Schur complement of Toeplitz matrices,” Numer. Linear Appl. 12, 181–189 (2005).

    Article  MathSciNet  MATH  Google Scholar 

  7. A. Böttcher and M. Halwass, “Wiener–Hopf and spectral factorization of real polynomials by Newton's method,” Linear Algebra Appl. 438, 4760–4805 (2013).

    Article  MathSciNet  MATH  Google Scholar 

  8. A. Böttcher and M. Halwass, “A Newton method for canonical Wiener–Hopf and spectral factorization of matrix polynomials,” Electron. J. Linear Algebra. 26, 873–897 (2013).

    MathSciNet  MATH  Google Scholar 

  9. H. R. Gail, S. L. Hantler, and B. A. Taylor, “Spectral analysis of M/G/1 and G/M/1 type Markov chains,” Adv. Appl. Probab. 28, 114–165 (1996).

    Article  MathSciNet  MATH  Google Scholar 

  10. S. K. Godunov, Modern Aspects of Linear Algebra (Am. Math. Soc., 1998).

  11. I. Gohberg, P. Lancaster, and L. Rodman, Matrix Polynomials (Academic, New York, 1982).

    MATH  Google Scholar 

  12. I. Gohberg, P. Lancaster, and L. Rodman, Indefinite Linear Algebra and Applications (Birkhäuser, Basel, 2005).

    MATH  Google Scholar 

  13. G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. (Johns Hopkins Univ. Press, Baltimore, MD, 1996).

    MATH  Google Scholar 

  14. T. N. T. Goodman, C. A. Micchelli, G. Rodriguez, and S. Seatzu, “On the Cholesky factorization of the Gram matrix of locally supported functions,” BIT 35, 233–257 (1995).

    Article  MathSciNet  MATH  Google Scholar 

  15. T. N. T. Goodman, C. A. Micchelli, G. Rodriguez, and S. Seatzu, “Spectral factorization of Laurent polynomials,” Adv. Comput. Math. 7, 429–454 (1997).

    Article  MathSciNet  MATH  Google Scholar 

  16. R. A. Horn and C. R. Johnson, Topics in Matrix Analysis (Cambridge Univ. Press, Cambridge, 1990).

    MATH  Google Scholar 

  17. V. B. Khazanov and V. N. Kublanovskaya, “Spectral problems for matrix pencils: Methods and algorithms I, II,” Sov. J. Numer. Anal. Math. Model. 33, 337–371, 467–485 (1989).

  18. V. N. Kublanovskaya, “AB-algorithm and its modifications for the spectral problem of linear pencils of matrices,” Numer. Math. 43, 329–342 (1984).

    Article  MathSciNet  MATH  Google Scholar 

  19. V. Kučera, Analysis and Design of Discrete Linear Control Systems (Academia, Prague, 1991).

    Google Scholar 

  20. G. Malajovich and J. P. Zubellu, “A fast and stable algorithm for splitting polynomials,” Comput. Math. Appl. 31, 1–23 (1997).

    Article  MathSciNet  Google Scholar 

  21. A. Malyshev, “Factorization of matrix polynomials,” Sib. Math. J. 23, 399–408 (1983).

    Article  MATH  Google Scholar 

  22. A. Malyshev, “Guaranteed accuracy in spectral problems of linear algebra II” Sib. Adv. Math. 2 (2), 153–204 (1992).

    MathSciNet  Google Scholar 

  23. A. Malyshev, “On the acceleration of an algorithm for polynomial factorization.” Dokl. Math. 88 (2) 586–589 (2013).

    Article  MathSciNet  MATH  Google Scholar 

  24. G. Rama Murthy, M. Kim, and E. J. Coyle, “Equilibrium analysis of skip free Markov chains: Nonlinear matrix equations,” Commun. Stat. Stochastic Models. 7, 547–571 (1991).

    Article  MathSciNet  MATH  Google Scholar 

  25. M. Rosenblatt, “A multi-dimensional prediction problem,” Ark. Math. 3, 407–424 (1958).

    Article  MathSciNet  MATH  Google Scholar 

  26. A. H. Sayed and T. Kailath, “A survey of spectral factorization methods,” Numer. Linear Algebra Appl. 8, 467–496 (2001).

    Article  MathSciNet  MATH  Google Scholar 

  27. I. D. Sofronov, “A double sweep method for the solution of difference boundary value problems,” USSR Comput. Math. Math. Phys. 4 (2), 62–76 (1964).

    Article  MATH  Google Scholar 

  28. G. Strang and T. Nguyen, Wavelet and Filter Banks (Wellesley-Cambridge Press, Wellesley, MA, 1996).

    MATH  Google Scholar 

  29. E. C. Titchmarsch, The Theory of Functions, 2nd ed. (Oxford Univ. Press, London, 1939).

    Google Scholar 

  30. D. C. Youla and N. N. Kazanjian, “Bauer-type factorization of positive matrices and the theory of matrix polynomials orthogonal on the unit circle,” IEEE Trans. Circuits Syst. Autom. 8, 57–69 (1978).

    Article  MathSciNet  MATH  Google Scholar 

  31. C. Van der Mee, G. Rodriguez, and S. Seatzu, “LDU factorization results for bi-infinite and semi-infinite scalar and block Toeplitz matrices,” Calcolo 33, 307–335 (1999).

    Article  MathSciNet  MATH  Google Scholar 

  32. Z. Vostry, “New algorithm of the polynomial spectral factorization with quadratic convergence,” Part I, Kybernetika 11, 415–422 (1975);

    MathSciNet  MATH  Google Scholar 

  33. Part II, Kybernetika 12, 248–259 (1976).

    MathSciNet  Google Scholar 

  34. G. Wilson, “Factorization of the covariance generating function of a pure moving average process,” SIAM J. Numer. Anal. 6, 1–7 (1969).

    Article  MathSciNet  MATH  Google Scholar 

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ACKNOWLEDGMENTS

The authors thank the anonymous reviewer for the helpful comments and suggestions.

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Correspondence to Alexander Malyshev or Miloud Sadkane.

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Malyshev, A., Sadkane, M. The Bauer-Type Factorization of Matrix Polynomials Revisited and Extended. Comput. Math. and Math. Phys. 58, 1025–1034 (2018). https://doi.org/10.1134/S0965542518070126

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