Matrix Analysis¶
Horn, R. A., & Johnson, C. R. (2012). Matrix Analysis. Cambridge University Press.
Cited by¶
9 citations across 8 artifacts.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Bidiagonal matrix
- Determinant
- Exchange matrix
- For dimension n, the exchange matrix J has entry one exactly when row plus column equals n plus one and zero otherwise; multiplying by it reverses the corresponding matrix axis.
- The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.
- Hurwitz-Stable Matrix
- Matrix
- The spectral decomposition \(A = Q\Lambda Q^\top\) (for symmetric \(A\)) and the singular value decomposition \(A = U\Sigma V^\top\) (for any \(A\)) factor the matrix into geometrically interpretable pieces — rotations, reflections, scalings — that expose the principal directions of the transformation and their magnitudes
This sourceThe standard graduate reference for these factorizations, organized around canonical forms and with sections on the singular value decomposition added in the second edition; its treatment is algebraic, so the reading of the factors as rotations, reflections and scalings is not taken from it.
Supported in partVerified against the source
- The spectral decomposition \(A = Q\Lambda Q^\top\) (for symmetric \(A\)) and the singular value decomposition \(A = U\Sigma V^\top\) (for any \(A\)) factor the matrix into geometrically interpretable pieces — rotations, reflections, scalings — that expose the principal directions of the transformation and their magnitudes
- Matrix Similarity
- Nonnegative Matrix
- Transpositions matrix
Verification¶
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Registry ID ref:dfd4c854f250 · see in the full table