2010•International Journal of Computer MathematicsRequires access

On condition numbers in the cyclic reduction processes of a tridiagonal matrix

Tan Wang, Masashi Iwasaki, Yoshimasa Nakamura

Open publisher page 3 citations

Abstract

The cyclic reduction method is a direct method for solving tridiagonal linear systems. At the first step of this method, a tridiagonal coefficient matrix is transformed into a pentadiagonal form. In this article, we prove that the condition number for eigenvalues of some classes of coefficient matrices always decreases after the first step of the cyclic reduction method.

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What this paper is about

The cyclic reduction method is a direct method for solving tridiagonal linear systems. At the first step of this method, a tridiagonal coefficient matrix is transformed into a pentadiagonal form. In this article, we prove that the condition number for eigenvalues of some classes of coefficient matrices always decreases after the first step of the cyclic reduction method.

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Available abstract

The cyclic reduction method is a direct method for solving tridiagonal linear systems. At the first step of this method, a tridiagonal coefficient matrix is transformed into a pentadiagonal form. In this article, we prove that the condition number for eigenvalues of some classes of coefficient matrices always decreases after the first step of the cyclic reduction method.

Key concepts: Tridiagonal matrix, Mathematics, Tridiagonal matrix algorithm, Coefficient matrix, Reduction (mathematics), Eigenvalues and eigenvectors, Matrix (chemical analysis), Band matrix

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