MATS235 Sobolev Spaces (9 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English, Finnish
Responsible organisation:
Department of Mathematics and Statistics
Curriculum periods:
2020-2021, 2021-2022, 2022-2023, 2023-2024
Description
Sobolev spaces are an important tool in modern analysis and in applied mathematics. The course contains the essential parts of the theory of Sobolev spaces like
- the convolution approximation
- weak (distributional) derivatives
- partition of unity and approximation of Sobolev functions by smooth functions
- Sobolev inequalities
- the ACL-charterization of Sobolev functions
- weak and strong convergence in L^p- and Sobolev spaces
- p-capacity
Learning outcomes
In the course, the basic properties of Sobolev spaces are studied. After the course, the student can use the definition of the weak derivative and its properties, Sobolev inequalities, approximation of Sobolev functions by smooth functions and different characterizations of Sobolev spaces.
Description of prerequisites
Measure and integration theory 1&2
Literature
- L.C. Evans & R.F. Gariepy, Measure Theory and Fine Properties of Functions; ISBN: 9781482242386
- W.P. Ziemer, Weakly Differentiable Functions; ISBN: 978-0-387-97017-2
- G. Leoni, A first course in Sobolev spaces; ISBN: 978-0821847688
Completion methods
Method 1
Evaluation criteria:
course exam points and exercise points
Select all marked parts
Method 2
Evaluation criteria:
final exam points
Select all marked parts
Parts of the completion methods
x
Teaching (9 cr)
Type:
Participation in teaching
Grading scale:
0-5
Evaluation criteria:
course exam points and exercise points
Language:
English, Finnish
Study methods:
lectures and exercises
Teaching
9/6–12/16/2022 Lectures
11/30–11/30/2022 Exam
12/15–12/15/2022 Exam
x
Exam (9 cr)
Type:
Exam
Grading scale:
0-5
Evaluation criteria:
final exam points
Language:
English, Finnish