A recursive algorithm for the implicit derivation of the determinant of a symmetric quindiagonal matrix is developed in terms of its leading principal minors. The algorithm is shown to yield a Sturmian sequence of polynomials from which the eigenvalues can be obtained by use of the bisection process
The derivative of an orthogonal matrix of eigenvectors of a symmetric matrix
✍ Scribed by Tônu Kollo; Heinz Neudecker
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 136 KB
- Volume
- 264
- Category
- Article
- ISSN
- 0024-3795
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✦ Synopsis
The authors supply the derivative of an orthogonal matrix of eigenvectors of a real symmetric matrix. To illustrate the applicability of their result they consider a real symmetric random matrix for which a more or less standard convergence in distribution is assumed to hold. The well-known delta method is then used to get the asymptotic distribution of the orthogonal eigenmatrix of the random matrix.
📜 SIMILAR VOLUMES
The disposition of the eigenvalues of general matrices and of Hermitian and symmetric matrices with isolated Gershgorin discs and "almost" isolated Gershgorin discs is made more precise. To improve the localization of the eigenvalues, information about the structure of the corresponding eigenvector