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Lecture
Matrix Diagonalization: Spectral Theorem
Description
This lecture covers the process of diagonalizing matrices, focusing on symmetric matrices. It explains the spectral theorem, eigenvalues, eigenvectors, and the decomposition of symmetric matrices. The lecture also discusses the conditions for diagonalizability and the importance of orthonormal bases.
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