Undergraduate Course: Fourier Analysis (MATH10051)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Year 4 Undergraduate)
||Availability||Available to all students
|Summary||This is a course in the rigorous treatment of Fourier series and related topics.
- Fourier series, fourier coefficients, trigonometric polynomials and orthogonality.
- Properties of fourier coefficients; Bessel¿s inequality, Parseval's identity and the Riemann-Lebesgue lemma.
- Various notions of convergence of Fourier series, including pointwise, uniform and mean square convergence. Summability methods, convolution and Young's inequality.
- Fourier Analysis in broader contexts; for example, fourier integrals, fourier expansions in groups, Schwartz spaces and tempered distributions.
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
Honours Analysis (MATH10068)
|Prohibited Combinations|| Students MUST NOT also be taking
Linear and Fourier Analysis (MATH10081)
||Other requirements|| Students might find it useful to have taken, or be taking, MATH10047 Essentials in Analysis and Probability.
Students wishing to take both MATH10082 Linear Analysis and MATH10051 Fourier Analysis in the same academic session should register for the 20 credit course MATH10081 Linear and Fourier Analysis.
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2017/18, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Coursework 5%, Examination 95%
||Hours & Minutes
|Main Exam Diet S2 (April/May)||Fourier Analysis (MATH10051)||2:00|
| 1. Facility with Fourier series and their coefficients.
2. Ability to use the main ideas of Fourier Analysis, in both the proof of structural properties and in concrete situations.
3. Capacity to work with theoretical and concrete concepts related to Fourier series and their coefficients.
4. Be able to produce examples and counterexamples illustrating the mathematical concepts presented in the course.
5. Understand the statements and proofs of important theorems and be able to explain the key steps in proofs, sometimes with variation.
|1. Fourier Analysis: An Introduction, by E.M. Stein and R. Shakarchi, Princeton University Press.|
2. Fourier Series and Integrals, by H. Dym and H. McKean, Academic Press.
3. Fourier Analysis, by T.W. Korner, Cambridge University Press
|Course organiser||Dr Aram Karakhanyan
Tel: (0131 6)50 5056
|Course secretary||Mrs Alison Fairgrieve
Tel: (0131 6)50 5045