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This lecture covers the diagonalization of symmetric matrices, explaining the process of determining if a matrix is diagonalizable, the properties of symmetric matrices, and the spectral theorem for symmetric matrices. It also delves into the concept of eigenvalues and eigenvectors, emphasizing the orthogonality of eigenvectors associated with distinct eigenvalues.