Skip to main content
 

MATH2791: Complex Analysis II

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box, and this may change from year to year, due to, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback.

Type Open
Level 2
Credits 20
Availability Available in 2025/2026
Module Cap
Location Durham
Department Mathematical Sciences

Prerequisites

  • One of:
  • Calculus I (Maths Hons) (MATH1081) OR Calculus I (MATH1061)
  • AND:
  • Linear Algebra I (Maths Hons) (MATH1091) OR Linear Algebra I (MATH1071)
  • AND:
  • Analysis I (MATH1051) [may be taken as a co-requisite]

Corequisites

  • Analysis 1 (MATH1051) if not taken at Level 1.

Excluded Combinations of Modules

  • Mathematical Methods in Physics (PHYS2611)

Aims

  • To introduce the student to the theory of complex analysis.

Content

  • The Complex Plane and Riemann Sphere: Complex functions, exponential & logarithm functions (cuts and branches), the Riemann Sphere and extended complex plane.
  • Metric spaces: Examples of metric spaces, open/closed sets, convergence, continuity, (path)-connectedness. (Sequential) compactness, Heine-Borel theorem, compactness and continuity.
  • Complex differentiation: Complex differentiation, Cauchy-Riemann equations. Connected sets. Conformal maps, holomorphic functions.
  • Mbius transformations: Mbius transformations, group law, point at infinity, geometry, circles/lines to circles/lines, preservation of cross ratio, Mbius transformations of unit circle to itself, Riemann sphere and stereographic projection. Mbius transformations as isometries. Biholomorphisms.
  • Convergence and Power series: Pointwise and uniform convergence of sequences and series, locally uniform convergence, continuity of the limit, Weierstrass M-test for continuous functions. Power series: Review from Analysis I of disk of (locally uniform) convergence and ratio/root test, term by term differentiation and integration, Taylor series.
  • Contour integrals: Curves in the complex plane, line/contour integrals in . Primitives and integrability, the Complex Fundamental Theorem of Calculus, Cauchy's theorem, Cauchy's integral formula, (Cauchy-)Taylor theorem, Morera's theorem.
  • Fundamental theorems for holomorphic functions: Liouville's theorem, max mod principle, analytic continuation, the Identity Theorem, harmonic functions.
  • Algebraic Topology: Winding numbers, simply connected sets, cycles, Jordan Curve Theorem, general forms of Cauchys Theorem and Cauchys integral formula.
  • Singularities and meromorphic functions: Laurent series, singularities, Casorati-Weierstrass, Big Picard Theorem. Cauchys Residue Theorem, Argument Principle, Rouch's Theorem, Open Mapping Theorem.
  • Calculus of residues - applications: Evaluation of integrals by calculus of residues, rational functions, rational functions of sine and cosine, indented contours and branch cuts.

Learning Outcomes

Subject-specific Knowledge:

  • By the end of the module students will:
  • Be able to solve seen and unseen problems on the given topics.
  • Be able to reproduce theoretical mathematics in the field of Complex Analysis.
  • Have a knowledge and understanding of fundamental theories of these subjects demonstrated through one or more of the following topic areas: Complex Differentiation. Conformal Mappings. Metric Spaces. Contour integrals, calculus of residues. Series, Uniform Convergence. Applications of Complex analysis.

Subject-specific Skills:

  • In addition students will have the ability to undertake and defend the use of alternative mathematical skills in the following areas with minimal guidance: Abstract reasoning.

Key Skills:

  • Students will have basic mathematical skills in the following areas: abstract reasoning, problem solving.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures demonstrate what is required to be learned and the application of the theory to practical examples.
  • Problem classes show how to solve example problems in an ideal way, revealing also the thought processes behind such solutions.
  • Tutorials provide active problem-solving engagement and immediate feedback to the learning process.
  • Formative assessments provide feedback to guide students in the correct development of their knowledge and skills in preparation for the summative assessment.
  • Summative assignments test achievement of learning outcomes and provide feedback to students about their mastery of the topics.
  • The end-of-year examination assesses the knowledge acquired and the ability to solve predictable and unpredictable problems.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures424 per week in Epiphany; 2 in Easter1 Hour42 
Tutorials6Weeks 12, 14, 16, 18, 20 (Epiphany), 22 (Easter)1 Hour6Yes
Problem Classes101 per week in Epiphany1 Hour10 
Preparation and Reading142 
Total200 

Summative Assessment

Component: ExaminationComponent Weighting: 80%
ElementLength / DurationElement WeightingResit Opportunity
On Campus Written Examination2 hours100
Component: Summative AssignmentsComponent Weighting: 20%
ElementLength / DurationElement WeightingResit Opportunity
Assignment100

Formative Assessment

There will be at most one formative or summative assignment each week.

More information

If you have a question about Durham's modular degree programmes, please visit our FAQ webpages, Help page or our glossary of terms. If you have a question about modular programmes that is not covered by the FAQ, or a query about the on-line Undergraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.