NMAK10008U Functional Analysis (FunkAn)
Volume 2013/2014
Education
MSc programme in Mathematics
MSc programme in Statistics
MSc programme in Statistics
Content
This course will cover a
number of fundamental topics within the area of Functional
Analysis. These topics include:
- Banach spaces: The Hahn-Banach theorem, including its versions as separation theorem, weak and weak* toplogies, the Banach-Alaoglu theorem, fundamental results connected to the Baire Category theory (the open mapping theorem, the closed graph theorem and the Uniform Boundedness Principle), as well as and convexity topics, including the Krein-Milman theorem and the Markov-Kakutani fixed point theorem.
- Operators on Hilbert spaces, Spectral theorem for self-adjoint compact operators.
- Fourier transform on R^n and the Plancherel Theorem.
- Radon measures and the Riesz representation theorem for positive linear functionals.
Learning Outcome
After completing the course, the student will have:
Knowledge about the subjects mentioned in the description of the content.
Skills to solve problems concerning the material covered.
The following Competences:
After completing the course, the student will have:
Knowledge about the subjects mentioned in the description of the content.
Skills to solve problems concerning the material covered.
The following Competences:
- Have a good understanding of the fundamental concepts and results presented in lectures, including a thorough understanding of various proofs.
- Establish connections between various concepts and results, and use the results discussed in lecture for various applications.
- Be in control of the material discussed in the lectures to the extent of being able to solve problems concerning the material covered.
- Be prepared to work with abstract concepts (from analysis and measure theory).
- Handle complex problems concerning topics within the area of Functional Analysis.
Academic qualifications
Analyse 0, 1, 2, and
MI.
Teaching and learning methods
5 hours lectures (2+2+1) and
3 hours of exercises.
Workload
- Category
- Hours
- Exam
- 26
- Lectures
- 40
- Preparation
- 116
- Theory exercises
- 24
- Total
- 206
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Continuing Education - click here!
Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessmentTwo mandatory sets of exercises, external evaluation with grades.
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
- Oral examination with 30 minutes preparation.
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome.
Course information
- Language
- English
- Course code
- NMAK10008U
- Credit
- 7,5 ECTS
- Level
- Full Degree MasterBachelor
- Duration
- 1 block
- Placement
- Block 1
- Schedule
- A
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Course responsibles
- Magdalena Elena Musat (musat@math.ku.dk)
Phone +45 35 32 07 45, office
04.2.05
Saved on the
30-04-2013