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Sibirskii Zhurnal Vychislitel'noi Matematiki, 2008, Volume 11, Number 3, Pages 341–346
(Mi sjvm52)
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This article is cited in 1 scientific paper (total in 1 paper)
Clusters of point matrices
Yu. I. Kuznetsov Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), Siberian Branch of the Russian Academy of Sciences
Abstract:
Clusters of point matrices In this paper, in addition to classical orthogonal polynomials, we introduce the orthogonal polynomials of degree $n-1$ at $n$ points. They result from interpolational polynomials. The name "point matrices" is justified by the fact that we do not consider a class of similar or congruent matrices that play the key role in a linear space and connected with its bases. We consider matrices with a fixed set of nodes (or points) $x_1,\dots,x_n$. A certain matrix cluster corresponds to each set of nodes. A simple connection between eigenproblems of the Hunkel matrix $H$ and the symmetric Jacjbi matrix $T$ has been obtained.
Key words:
matrix, point, node, Krylov space, eigenvalue, Jacobi matrix, Hankel matrix, Frobenius matrix, Vandermonde matrix, similarity transformation.
Received: 16.07.2007 Revised: 20.08.2007
Citation:
Yu. I. Kuznetsov, “Clusters of point matrices”, Sib. Zh. Vychisl. Mat., 11:3 (2008), 341–346; Num. Anal. Appl., 1:3 (2008), 280–284
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https://www.mathnet.ru/eng/sjvm52 https://www.mathnet.ru/eng/sjvm/v11/i3/p341
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Abstract page: | 256 | Full-text PDF : | 105 | References: | 40 | First page: | 3 |
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