Orthogonal Matrices & Spectral Decomposition

Explores spectral and singular value decompositions of matrices.

Covers the decomposition of matrices into triangular blocks and spectral decomposition.

Covers examples of symmetric matrices and their properties, including eigenvectors and eigenvalues.

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

Explores the spectral decomposition of symmetric matrices, including diagonalization and orthogonal basis change matrices.