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Zapiski Nauchnykh Seminarov POMI, 2017, Volume 463, Pages 142–153
(Mi znsl6511)
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The CMV-matrix and the generalized Lanczos process
Kh. D. Ikramov Lomonosov Moscow State University, Moscow, Russia
Abstract:
The CMV-matrix is the five-diagonal matrix that represents the operator of multiplication by an independent variable in a special basis formed of Laurent polynomials orthogonal on the unit circle $C$. The article by Cantero, Moral, and Velázquez, which was published in 2003 and described this matrix, has attracted much attention because it implied that the conventional orthogonal polynomials on $C$ can be interpreted as the characteristic polynomials of the leading principal submatrices of a certain five-diagonal matrix. In this publication, we remind about the fact that finite-dimensional sections of the CMV-matrix emerged in papers on the unitary eigenvalue problem long before the article by Cantero et al. Moreover, band forms were also found for a number of other situations in the normal eigenvalue problem.
Key words and phrases:
orthogonal polynomials, Hessenberg matrix, Laurent polynomials, CMV-matrix, leading principal submatrix, generalized Lanczos process.
Received: 31.01.2017
Citation:
Kh. D. Ikramov, “The CMV-matrix and the generalized Lanczos process”, Computational methods and algorithms. Part XXX, Zap. Nauchn. Sem. POMI, 463, POMI, St. Petersburg, 2017, 142–153; J. Math. Sci. (N. Y.), 232:6 (2018), 837–843
Linking options:
https://www.mathnet.ru/eng/znsl6511 https://www.mathnet.ru/eng/znsl/v463/p142
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Abstract page: | 159 | Full-text PDF : | 51 | References: | 44 |
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