Lectures related to Eigenvalue of a Matrix

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

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

Covers eigenvalues and eigenvectors, explaining their importance in linear algebra.

Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Covers the diagonalization of linear transformations in R^3, exploring properties and examples.