Math 370 Syllabus Outline
Fall 2009
- Week 1: Mathematical induction, review of integers,
definition of groups, rings, devision rings, fields.
Examples: general linear groups and special linear groups,
Hamiltonian quaternions.
- Weeks 2: Equivalence relations, modular arithmetic,
subgroups, subgroups generated by a subset,
cyclic groups, properties of Euler's &phi function,
symmetric groups in n letters,
Definition of homomorphisms between groups.
- Week 3: Left and right cosets, normal subgroups, quotient groups,
kernel and image of a homomorphism between groups,
correspondence between subgroups of the source and target of a homomorphism.
Examples, homomorphisms from a cyclic group to a group,
adjoint homomorphism of a group.
- Week 4: More examples of groups (quaternion groups, dihedral groups,
finite Heisenberg groups, generalized quaternion groups, orthogonal
groups), sign of a permutation, group ring of a finite group,
product of groups, definition of ideals,
vector spaces, vector subspaces, quotient vector spaces.
- Week 5: Linear independence, basis and dimension of a vector space.
linear transformations, matrix representation of linear transformations.
- Week 6: Change of bases, normalizer and centralizer of a subgroup,
decomposition of a finite group into conjugacy classes, the class equation.
- Week 7: finite p-groups, group actions (groups as abstract symmetries),
stabilizer subgroups, orbits, decomposition into orbits,
adjoint action as example.
- Week 8: midterm exam (in class), more examples of group actions,
translation action on G/H.
- Week 9: Sylow's theorems, examples, classification of finite
groups of small order.
- Week 10: Linear operators, eigenvalues, eigenspaces, dual vector
spaces, transpose of a linear transformation, the Euclidean algorithm
on a polynomial ring over a field.
- Week 11: Principal ideal domains, unique factorization,
gcd in a polynomial ring.
- Week 12: Primary decomposition for a linear operator on a
finite dimensional vector space.
- Week 13: Reformulation in terms of matrices, canonical forms.