Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.
Covers the calculation of eigenvalues and eigenvectors, emphasizing their significance and applications.
Explores minimal annihilating polynomials and cyclic invariant subspaces, showcasing their practical applications through matrix computations.
Explores system equivalence, state-space representation, transfer functions, and Euclidean rings, emphasizing unimodular matrices and their properties.
Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.
