Lectures related to Orthogonality and Eigenvalues

Explores the criteria for diagonalizing matrices and their practical applications.

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

Covers eigenvalues, eigenvectors, and diagonalization of matrices.

Covers linear applications, diagonalizable matrices, eigenvectors, and orthogonal subspaces in R^n.