In order to pass the course (grade 3) the student should
be able to give an account of and use basic vector space concepts such as linear space, linear dependence, basis, dimension, linear transformation;
be able to give an account of and use basic concepts in the theory of finite dimensional Euclidean spaces;
be able to compute determinants of arbitrary order;
be familiar with the concepts of eigenvalue, eigenspace and eigenvector and know how to compute these objects;
know the spectral theorem for symmetric operators and know how to diagonalise quadratic forms in ON-bases;
know how to solve a system of linear differential equations with constant coefficients;
be able to formulate important results and theorems covered by the course;
be able to use the theory, methods and techniques of the course to solve mathematical problems;
be able to present mathematical arguments to others.
Linear spaces: subspaces, linear span, linear dependence, basis, dimension, change of bases. Matrices: rank, column space and row space. Determinants of arbitrary order. Linear transformations: their matrix and its dependence on the bases, composition and inverse, range and nullspace, the dimension theorem. Euclidean spaces: inner product, the Cauchy-Schwarz inequality, orthogonality, ON-basis, orthogonalisation, orthogonal projection, isometry. Quadratic forms: diagonalisation, Sylvester's law of inertia. Spectral theory: eigenvalues, eigenvectors, eigenspaces, characteristic polynomial, diagonalisability, the spectral theorem, second degree surfaces. Systems of linear ordinary differential equations.
Lectures and problem solving sessions.
Written examination at the end of the course. Moreover, compulsory assignments may be given during the course.