Course Topics
Detail of contents:
Vector spaces: operations in V0, and their properties. Vector space axioms. Linear combination. Basis. Spaces R2, R3, Rn. Standard basis. Scalar product and norm in Rn.
Geometry of space. Vector product, mixed product: geometrical definition, computation in components, properties. Cartesian equation of a plan in space. Cartesian and parametric equation of a straight line in space. Non-intersecting lines. Distance plane-to-point. Distance between planes, distance between non-intersecting lines.
Matrices. Definitions and operations. Vector space structure. Basis in Mm,n(R). Product. Inverse matrix, transpose matrix and their properties.
Linear systems. Matrix form, homogeneous case. Dimension of the solution space, Gauss triangulation method. Linear dependence and independence of vectors.
Determinant and rank. Recursive definition, Laplace rule, properties. Computation of inverse matrices. Rank of a matrix: definition through determinants and linearly independent vectors.
Linear transformations. Matrix representation. Nucleus, image. Orthogonal matrices. Homothetic and affine transformations. Definition and computation of eigenvalues and eigenvectors of a linear transformation.
Teaching format
Frontal lectures and exercises