Covers the criterion for diagonalizability of matrices, focusing on comparing examples and understanding the relationship between algebraic and geometric multiplicities of eigenvalues.
Explores complex polynomial factorization examples, demonstrating the process and implications of complex roots in real polynomials.
Covers the calculation of eigenvalues and eigenvectors, emphasizing their significance and applications.
Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.
Explores the canonical basis in linear algebra, focusing on matrix representation, diagonalizability, and characteristic polynomials.
