Matrix algebra and properties of matrix operations. Invertible matrices and their properties. Computation of the inverse of a matrix.
Vector spaces and subspaces. Sum, intersection and the orthogonal complement of vector subspaces. Linear combinations, linear independence and dependence of vectors. Basis and dimension of a vector space. The dimension theorem.
Linear maps. The kernel and the image of a linear map, dimension theorem. The rank-nullity theorem. Transition matrix. Change of basis and matrix similarity.
Determinants and their properties.
Linear systems.
Bibliography
G. Strang. Linear Algebra and Its Applications, 4th edition. Cengage Learning, 2005.