Relative perturbation theory. IV: \(\sin 2\theta\) theorems
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Publication:1567544
DOI10.1016/S0024-3795(00)00077-XzbMath0963.15017MaRDI QIDQ1567544
Publication date: 28 June 2001
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Inequalities involving eigenvalues and eigenvectors (15A42) Eigenvalues, singular values, and eigenvectors (15A18) Numerical computation of matrix norms, conditioning, scaling (65F35)
Related Items (5)
The optimal perturbation bounds of the Moore-Penrose inverse under the Frobenius norm ⋮ The a priori \(\tan \Theta\) theorem for spectral subspaces ⋮ Residual bounds for some or all singular values ⋮ Implicit standard Jacobi gives high relative accuracy ⋮ A \(\sin 2\varTheta\) theorem for graded indefinite Hermitian matrices
Cites Work
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- The perturbation bounds for eigenspaces of a definite matrix-pair
- The Lidskii-Mirsky-Wielandt theorem -- additive and multiplicative versions
- Results on the relative perturbation of the singular values of a matrix
- Accurate singular values and differential qd algorithms
- Relative perturbation theory. III: More bounds on eigenvalue variation
- A new relative perturbation theorem for singular subspaces
- Computing the singular value decomposition with high relative accuracy
- An implementation of the dqds algorithm (positive case)
- On computing accurate singular values and eigenvalues of matrices with acyclic graphs
- Accurate Singular Values of Bidiagonal Matrices
- The Bidiagonal Singular Value Decomposition and Hamiltonian Mechanics
- Jacobi’s Method is More Accurate than QR
- Generalizing the Singular Value Decomposition
- Relative Perturbation Theory: I. Eigenvalue and Singular Value Variations
- Relative Perturbation Theory: II. Eigenspace and Singular Subspace Variations
- On Perturbations of Matrix Pencils with Real Spectra
- Spectral Perturbation Bounds for Positive Definite Matrices
- A Bound on the Solution to a Structured Sylvester Equation with an Application to Relative Perturbation Theory
- Accurate Eigensystem Computations by Jacobi Methods
- Relative Perturbation Techniques for Singular Value Problems
- Accurate Singular Value Decompositions of Structured Matrices
- The p-Relative Distance is a Metric
- Computing Accurate Eigensystems of Scaled Diagonally Dominant Matrices
- The Rotation of Eigenvectors by a Perturbation. III
- Perturbation bounds in connection with singular value decomposition
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