- Department: Mathematics
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
Pre-requisite information: MSc students should have taken a first course in complex analysis, going as far as the residue calculus.
Occurrence | Teaching period |
---|---|
A | Autumn Term 2022-23 |
This module develops Complex Analytic methods beyond the level of a first course in complex analysis and provides techniques that can be used to evaluate nontrivial integrals (including examples with branch cuts). It also introduces and develops asymptotic methods which give useful estimates of the growth of functions and can also be used to give accurate estimates of various functions and integrals. These techniques are used in many areas of pure and applied mathematics. Some “special functions” such as the Gamma and Beta functions are studied in detail using the methods of the module. Finally, the module develops techniques to solve differential equations by complex analytic means (integral representation).
Syllabus
Residue calculus, stressing practical computations. Classification of singularities (removable, pole, essential). Calculation of residues of higher order poles. Contour integrals. Using Cauchy’s theorem to evaluate contour integrals. Laurent series, residue at infinity. Examples, including evaluation of nontrivial Fourier and Laplace transforms.
Improper integrals. Convergence and analyticity criteria. Analytic continuation. Examples: Gamma and Beta functions
Multivalued functions, branch points. Notion of Riemann surface, cuts. Practical evaluation of contour integrals on the complex plane with cuts. Examples, including Gamma and Beta functions
Elements of asymptotic analysis. The symbols O, o , ~. Asymptotic expansions. Laplace’s (stationary point) method. Examples, including Stirling’s formula for the Gamma function; Airy function.
Academic and graduate skills
Academic skills: the techniques taught are used in many areas of pure and applied mathematics.
Graduate skills: through lectures, examples, classes, students will develop their ability to assimilate, process and engage with new material quickly and efficiently. They develop problem solving-skills and learn how to apply techniques to unseen problems. Students on this module will learn to work more independently and assimilate advanced material at a greater rate than those on the H-level variant.
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 100 |
None
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 100 |
Current Department policy on feedback is available in the student handbook. Coursework and examinations will be marked and returned in accordance with this policy.