Lectures related to Diagonalizable Matrices: Criteria and Applications

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

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

Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.

Explores the diagonalization of matrices through similarity transformations and the significance of this process in linear algebra.

Covers eigenvalues, eigenvectors, and diagonalization of matrices.

Covers the method of diagonalization for determining if a non-square matrix A is diagonalizable.