Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED F/Pi
Date of Decision: 2024-04-15
Effective: 2024-05-08
Depth of study relative to the degree requirements: Second cycle, in-depth level of the course cannot be classified
Elective for: F5, F5-tf, F5-bs, F5-ss, MMSR2, Pi4-bs, Pi4-ssr
Language of instruction: The course will be given in English on demand
Functional analysis and harmonic analysis are fundamental tools in many mathematical applications, e.g., in field theory, solid mechanics, control theory, signal processing and in mathematical statistics and numerical analysis. The aim of the course is to convey knowledge about basic concepts and methods in the subject, and to give the ability, both to follow discussions where these are used and to independently solve mathematical problems which arise in the applications. An important goal of the course is also to develop a power of abstraction which makes it easier to see analogies between problems from apparently different fields.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Functional analysis: norms and approximation, completeness, compactness, function spaces, Hilbert spaces, orthogonality and orthogonal systems. Linear operators, compact operators and self-adjoint operators. Spectral theory. Dual spaces and Hahn-Banach's theorem.
Harmonic analysis: The Fourier transform. Sobolev spaces and the Sobolev embedding theorem.
Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: Take-home exam followed by an oral exam.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Modules
Code: 0117. Name: Functional Analysis and Harmonic Analysis.
Credits: 7.5. Grading scale: TH - (U, 3, 4, 5).
Assumed prior knowledge:
FMAN55 Applied Mathematics and FMAN70/FMAN71 Matrix Theory.
The number of participants is limited to: No
Kursen överlappar följande kurser:
FMA260
Course coordinator: Studierektor Anders Holst,
Studierektor@math.lth.se
Teacher: Jacob Stordal Christiansen,
jacob_stordal.christiansen@math.lth.se
Course homepage: https://canvas.education.lu.se/courses/20321