Advanced Vector Spaces (AdVec)

Course content


This course covers the fundamentals of linear and multilinear algebra as well as more advanced subjects within the field, from a theoretical point of view with emphasis on proofs.

Subjects include

1. Fundamentals of finite dimensional vector spaces over a field
2. Linear maps and dual space
3. Bilinear forms and quadratic forms
4. Direct sums, quotient spaces and tensor products
5. Eigenvectors and spectral decompositions
6. Generalized eigenspaces and the Jordan normal form
7. Multilinear algebra and determinants
8. Real and complex Euclidean structure
9. Normed spaces, Hilbert spaces and bounded operators
10. Spectral theory of normal operators
11. Perron-Frobenius theorem
12. Factorizations of matrices

Education

MSc Programme in Mathematics
MSc Programme in Statistics
MSc Programme in Mathematics with a minor subject

Learning outcome

Knowledge: Central definitions and theorems from the subjects mentioned in the description of contents. In particular, the following notions are considered central:


Linear dependence, basis, dimension, quotient space, quotient map, invariant subspace, rank, nullity, dual space, dual basis, adjoint map, direct sum, projection, idempotent map, bilinear form, alternating form, quadratic form, positive definite form, non-degenerate, tensor product, multilinear form, wedge product, determinant, trace, eigenvalue, eigenvector, eigenspace, spectrum, spectral radius, geometric multiplicity, algebraic multiplicity, characteristic polynomial, diagonability, flag, inner product, Hilbert space, self-adjoint map, normal map, unitary map, nilpotent map, cyclic vector, generalized eigenspace, operator norm, spectral radius, positive definite map, principal minors, leading principal minors.

 

Skills/Competencies:

To follow and reproduce proofs of statements within the subjects mentioned in the description of contents and involving the notions mentioned above.

To understand the relationships between the different subjects of the course

To prepare and give a coherent oral presentation of a random mathematical topic within the curriculum of the course.

5 hours of lectures and 4 hours of exercises per week for 7 weeks

Basic group theory and linear algebra, as covered by the courses LinAlg and Alg1 or equivalent.

Academic qualifications equivalent to a BSc degree is recommended.

Oral
Collective
Continuous feedback during the course

Oral feedback will be given on students’ presentations in class

ECTS
7,5 ECTS
Type of assessment
Oral examination, 30 minutes
Type of assessment details
Oral examination with 30 minutes of preparation before the exam
Aid
Only certain aids allowed

All aids allowed during the preparation time. No aids allowed for the examination.

Marking scale
7-point grading scale
Censorship form
External censorship
Criteria for exam assessment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 35
  • Preparation
  • 142
  • Theory exercises
  • 28
  • Exam
  • 1
  • English
  • 206

Kursusinformation

Language
English
Course number
NMAK15005U
ECTS
7,5 ECTS
Programme level
Full Degree Master
Duration

1 block

Placement
Block 1
Schedulegroup
A
Capacity
no limit
The number of seats may be reduced in the late registration period
Studyboard
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Mathematical Sciences
Contracting faculty
  • Faculty of Science
Course Coordinators
  • Henrik Schlichtkrull   (8-76666b6f6c666b77437064776b316e7831676e)
  • Damian Longin Osajda   (2-6a754673677a6e34717b346a71)
Teacher

Damian Osajda

Saved on the 18-07-2022

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