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Eigenvector derivatives of repeated eigenvalues using singular value decomposition
Journal of Guidance, Control, and Dynamics, 1989An explicit formula is obtained for the first-order eigenvector derivative that corresponds to the eigenvector of a repeated eigenvalue, in the case of the nonself-adjoint eigenvalue problem. This method applies to the class of nondefective problems whose first eigenvalue derivatives of the repeated eigenvalues are distinct.
Kyong B. Lim +2 more
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Computation of Eigenvectors and Eigenvalues and the Singular Value Decomposition
1998Before we discuss methods for computing eigenvalues, we mention an interesting observation. Consider the polynomial, f(& λ), $$ {{\lambda }^{p}} + {{a}_{{p - 1}}}{{\lambda }^{{p - 1}}} + ... + {{a}_{1}}\lambda + {{a}_{0}} $$ Now form the matrix, A, $$ \left[ \begin{gathered} 0 1 0 ... 0 \hfill \\ 0 0 1 ... 0 \hfill \\ \ddots \hfill \\ 0 0 0 .
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A note on the eigenvalues, singular values, and eigenvectors of Toeplitz and Hankel matrices.
CoRR, 2022Sven-Erik Ekström +2 more
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Nondegeneracy of eigenvectors and singular vector tuples of tensors
Science China Mathematics, 2022Shenglong Hu, Hu Shenglong
exaly
Effective construction of eigenvectors for a class of singular sparse matrices
Applied Mathematics Letters, 2019Xiaoying Han, Habib N Najm
exaly
Singular and nonsingular eigenvectors for the Gaudin model
Journal of Mathematical Physics, 2001Annamaria Kiss
exaly

