The CMV-matrix and the generalized Lanczos process
Zapiski Nauchnykh Seminarov POMI, Computational methods and algorithms. Part XXX, Tome 463 (2017), pp. 142-153
Voir la notice de l'article provenant de la source Math-Net.Ru
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.
@article{ZNSL_2017_463_a10,
author = {Kh. D. Ikramov},
title = {The {CMV-matrix} and the generalized {Lanczos} process},
journal = {Zapiski Nauchnykh Seminarov POMI},
pages = {142--153},
publisher = {mathdoc},
volume = {463},
year = {2017},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/ZNSL_2017_463_a10/}
}
Kh. D. Ikramov. The CMV-matrix and the generalized Lanczos process. Zapiski Nauchnykh Seminarov POMI, Computational methods and algorithms. Part XXX, Tome 463 (2017), pp. 142-153. http://geodesic.mathdoc.fr/item/ZNSL_2017_463_a10/