Matrix Diagonalization: Spectral Theorem

Explores spectral and singular value decompositions of matrices.

Explores the diagonalization of symmetric matrices through orthogonal decomposition and the spectral theorem.

Covers the decomposition of a matrix into its eigenvalues and eigenvectors, the orthogonality of eigenvectors, and the normalization of vectors.

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

Covers the decomposition of symmetric matrices into eigenvalues and eigenvectors.