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Lecture
Spectral Decomposition
Description
This lecture covers the spectral decomposition of symmetric matrices, discussing conditions for diagonalizability, orthonormal bases, and eigenvalues. It also explores the singular value decomposition, orthogonal matrices, and roots of matrices.
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