Lectures related to Unipotent Matrices: Properties and Definitions

Explores eigenvalues, diagonalization, and matrix similarity, showcasing their importance and applications.

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

Explores the diagonalization of symmetric matrices through orthogonal decomposition and the spectral theorem.

Explains how to find the values for which -1 is an eigenvalue of a 3 by 3 matrix.

Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.

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