2015Moscow University Computational Mathematics and CyberneticsRequires access

On the eigenvectors of Toeplitz matrices

Х. Д. Икрамов

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Abstract

Although every nonzero vector x ∈ C n can be an eigenvector of a nonscalar Toeplitz matrix T, this assertion is generally false if symmetry is additionally required of T. It is shown that every symmetric or skew-symmetric vector is an eigenvector of a symmetric Toeplitz (nonscalar) matrix. A problem in matrix analysis that results in the need to characterize such eigenvectors is described.

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What this paper is about

Although every nonzero vector x ∈ C n can be an eigenvector of a nonscalar Toeplitz matrix T, this assertion is generally false if symmetry is additionally required of T. It is shown that every symmetric or skew-symmetric vector is an eigenvector of a symmetric Toeplitz (nonscalar) matrix. A problem in matrix analysis that results in the need to characterize such eigenvectors is described.

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Available abstract

Although every nonzero vector x ∈ C n can be an eigenvector of a nonscalar Toeplitz matrix T, this assertion is generally false if symmetry is additionally required of T. It is shown that every symmetric or skew-symmetric vector is an eigenvector of a symmetric Toeplitz (nonscalar) matrix. A problem in matrix analysis that results in the need to characterize such eigenvectors is described.

Key concepts: Toeplitz matrix, Eigenvalues and eigenvectors, Skew-symmetric matrix, Mathematics, Levinson recursion, Symmetric matrix, Assertion, Matrix (chemical analysis)

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