On the eigenvectors of Toeplitz matrices
Х. Д. Икрамов
Abstract
Х. Д. Икрамов
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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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)