NMAK10019U Differential Operators and Function Spaces (DifFun)
Volume 2018/2019
Education
MSc Programme in Mathematics
Content
Differential operators. Distribution theory, Fourier transform of distributions. Function spaces. Applications to concrete differential operator problems.
Learning Outcome
Knowledge:
- Linear differential equations and their relevant side conditions (e.g. boundary, initial)
- Concept of ellipticity
- Distributions and their convergence properties
- Multiplication by smooth functions and derivatives of distributions
- Fourier transform of distributions
- Function classes such as Sobolev spaces or Lp spaces and the action on differential operators and the Fourier transform on these
- Unbounded operators on Hilbert spaces
- Solution methods for differential equations such as methods based on the Fourier transform or a variational approach
Competences:
- Understand the different realizations of differential operators on relevant function spaces
- Understand concepts such as existence uniqueness and regularity of solutions to differential equations within the relevant function spaces
- Determine when a certain solution method applies
- Calculate with distributions (derivatives, multiplication, ...)
- Calculate Fourier transform of distributions, and functions in different function classes
- Know the relations (inclusions) of relevant function spaces
Skills:
- Solve classical differential equations
- Establish existence, uniqueness and regularity of solutions to certain differential equations
- Describe the different realizations of concrete differential operators on Hilbert spaces
- Calculate properties (e.g., domain, spectra) of realizations of differential operators
Recommended Academic Qualifications
A knowledge of Banach and
Hilbert spaces Corresponding to An1 and An2.
Knowledge of the Fourier transform corresponding to FunkAn is desirable.
Knowledge of the Fourier transform corresponding to FunkAn is desirable.
Teaching and learning methods
5 hours of lectures and 2
hours of exercises each week for 8 weeks
Workload
- Category
- Hours
- Exam
- 20
- Guidance
- 13
- Lectures
- 40
- Preparation
- 117
- Theory exercises
- 16
- Total
- 206
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Written assignment, Two 7 days take home assignmentsWritten examination, 3 hours under invigilationThe two written 7 days take home assignments count each 20% toward the final grade. The final exam counts 60%
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
Written exam, 3 hours under invigilation. All aids allowed.
The final grade is the largest of the two numbers: 1) Written exam counts 100% and 2) Written exam counts 60% and the results of the two take home assignments count 20% each.
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
- NMAK10019U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- C
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Jan Philip Solovej (solovej@math.ku.dk)
phone +45 35330494, office 04.2.14
Saved on the
05-07-2018