Lectures related to Jordan Normal Form: Theory and Applications

Explains the step-by-step process of finding the singular value decomposition of a matrix.

Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.

Covers the diagonalization of matrices with distinct eigenvalues and the importance of this process.