Eigenvalues and Eigenvectors
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Scalar-vector pairs that characterize linear transformations. Eigenvectors are directions that remain unchanged by a transformation, and eigenvalues are the scaling factors. They are central to PCA, spectral methods, and stability analysis.
Key Properties
Related
- Matrix Decompositions (eigendecomposition is a key factorization)