Lectures related to Symmetric Matrices: Properties and Decomposition

Explores the diagonalizability of symmetric matrices and their eigenvectors in an orthonormal basis.

Covers the properties of symmetric matrices, orthogonal matrices, and eigenvalues.

Covers the calculation of eigenvalues and eigenvectors, emphasizing their significance and applications.

Explores spectral decomposition of symmetric matrices and Singular Value Decomposition (SVD) for matrix decomposition.

Explores diagonalization of symmetric matrices and their eigenvalues, emphasizing orthogonal properties.