Lectures related to Diagonalization of Matrices

Explains how to find free variables in matrix equations and analyze characteristic polynomials.

Explores eigenvalues, matrix trace, and similarity, highlighting their significance in matrix properties.

Covers the reduction of a linear application and finding corresponding reduced forms and bases.

Introduces eigenvalues, eigenvectors, and similar matrices, emphasizing diagonalization and geometric interpretations.

Covers eigenvalues, eigenvectors, and matrix similarity for dynamic systems.

Explores the canonical basis in linear algebra, focusing on matrix representation, diagonalizability, and characteristic polynomials.

Covers matrix eigenvalues, eigenvectors, and their linear independence.