Lectures related to Diagonalization of Matrices: Theory and Examples

Covers diagonalization of matrices, eigenvectors, linear maps, and least squares method.

Explores the diagonalization of linear maps by finding a basis formed by eigenvectors.

Explores the criteria for diagonalizing matrices and their practical applications.

Explores examples of diagonalization in linear algebra, focusing on eigenvalues and eigenvectors.

Explores diagonalizing matrices, similarity, eigenvectors, and proper spaces.

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