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JOURNALS // Zapiski Nauchnykh Seminarov POMI // Archive

Zap. Nauchn. Sem. POMI, 2017 Volume 463, Pages 142–153 (Mi znsl6511)

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.

UDC: 512.643.8+519.61

Received: 31.01.2017


 English version:
Journal of Mathematical Sciences (New York), 2018, 232:6, 837–843

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© Steklov Math. Inst. of RAS, 2024