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Solution of spectral problems for polynomial matrices

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For polynomial matrices of full rank, including matrices of the form A - λI and A - λB, numerical methods for solving the following problems are suggested: find the divisors of a polynomial matrix whose spectra coincide with the zeros of known divisors of its characteristic polynomial; compute the greatest common divisor of a sequence of polynomial matrices; solve the inverse eigenvalue problem for a polynomial matrix. The methods proposed are based on the ΔW and ΔV factorizations of polynomial matrices. Applications of these methods to the solution of certain algebraic problems are considered. Bibliography: 3 titles.

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REFERENCES

  1. V. N. Kublanovskaya, “Rank division algorithms and their applications,” J. Numer. Algebra Appl., 2, 198–213 (1992).

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  2. V. N. Kublanovskaya, “Methods and algorithms for solving spectral problems for polynomial and rational matrices,” Zap. Nauchn. Semin. POMI, 238, 3–329 (1997).

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  3. F. R. Gantmakher, The Theory of Matrices [in Russian], Nauka, Moscow (1988).

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Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 296, 2003, pp. 122–138.

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Kublanovskaya, V.N. Solution of spectral problems for polynomial matrices. J Math Sci 127, 2024–2032 (2005). https://doi.org/10.1007/s10958-005-0160-9

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  • DOI: https://doi.org/10.1007/s10958-005-0160-9

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