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MA4M7-15 Complex Dynamics

Department
Warwick Mathematics Institute
Level
Undergraduate Level 4
Module leader
John Smillie
Credit value
15
Module duration
10 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry

Introductory description

Complex Dynamics is a very active area of the field of Dynamical Systems. This course will be an introduction to the subject focusing on the dynamics of complex quadratic polynomials. This family of examples will be studied using a variety of tools coming from classical and modern techniques in complex analysis, topology, geometry and dynamical systems.

Module web page

Module aims

The course will have three main themes. Firstly, to understand the local behaviour of holomorphic transformations in one complex variable. Second, to understand the global behaviour of holomorphic maps focussing on complex quadratic polynomials. These exhibit dynamically important features such as chaotic behaviour. Third, we explore the parameter space of quadratic polynomials and the Mandelbrot set. Here we see examples of structural stability, structural instability and renormalisation behaviour.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

We will cover some of the following topics:

  1. Local dynamics of holomorphic maps
  2. Expanding maps, shadowing, closing lemmas.
  3. The theory of external rays
  4. Global dynamical behaviour of hyperbolic Julia sets, Markov partitions and symbolic dynamics.
  5. Global behaviour of arbitrary Julia sets.
  6. Structural stability, shadowing, closing lemmas,
  7. Global properties of parameter space, the Mandelbrot set and renormalisation

Learning outcomes

By the end of the module, students should be able to:

  • Use a variety of techniques to analyse complex dynamical systems
  • Understand the role of structural stability in dynamical systems.
  • Understand the role of renormalisation in dynamical systems.
  • Understand how Markov partitions can be used to understand the behaviour of orbits in dynamical systems.

Subject specific skills

Students will have an in depth knowledge of the behaviour of a beautiful family of dynamical systems. They will be equipped to use a variety of analytic and dynamical techniques to investigate and understand a range of dynamical systems exhibiting chaotic behaviour. They will have the background to study in the area, at graduate level, and to apply the techniques they have learned to various areas of applications where dynamical systems appear.

Transferable skills

Students will be equipped to understand a range of dynamical systems exhibiting complex behaviour. They will have the background to study various areas of applications where dynamical systems appear, such as control systems, engineering and meteorology. More generally, they will have had the opportunity to develop their analytic skills through the study of complex and abstract systems.

Study time

Type Required
Lectures 30 sessions of 1 hour (20%)
Seminars 9 sessions of 1 hour (6%)
Tutorials 9 sessions of 1 hour (6%)
Private study 59 hours (39%)
Assessment 43 hours (29%)
Total 150 hours

Private study description

Review lectured material and work on set exercises.

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group B
Weighting Study time Eligible for self-certification
In-person Examination 100% 43 hours No

3 hour exam, no books allowed


  • Answerbook Pink (12 page)
Assessment group R
Weighting Study time Eligible for self-certification
In-person Examination - Resit 100% No
  • Answerbook Pink (12 page)
Feedback on assessment

Marked assignments and exam feedback.

Past exam papers for MA4M7

Courses

This module is Optional for:

  • Year 1 of TMAA-G1PE Master of Advanced Study in Mathematical Sciences
  • Year 1 of TMAA-G1PD Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc)
  • Year 1 of TMAA-G1P0 Postgraduate Taught Mathematics
  • Year 1 of TMAA-G1PC Postgraduate Taught Mathematics (Diploma plus MSc)

This module is Option list A for:

  • Year 2 of TMAA-G1PC Postgraduate Taught Mathematics (Diploma plus MSc)
  • Year 4 of UPXA-FG31 Undergraduate Mathematics and Physics (MMathPhys)
  • Year 4 of USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
  • Year 5 of USTA-G1G4 Undergraduate Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)

This module is Option list B for:

  • Year 2 of TMAA-G1PD Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc)
  • Year 4 of UCSA-G4G3 Undergraduate Discrete Mathematics
  • Year 3 of USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
  • Year 4 of USTA-G1G4 Undergraduate Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)

This module is Option list C for:

  • UMAA-G105 Undergraduate Master of Mathematics (with Intercalated Year)
    • Year 4 of G105 Mathematics (MMath) with Intercalated Year
    • Year 5 of G105 Mathematics (MMath) with Intercalated Year
  • UMAA-G103 Undergraduate Mathematics (MMath)
    • Year 3 of G103 Mathematics (MMath)
    • Year 4 of G103 Mathematics (MMath)
  • Year 4 of UMAA-G106 Undergraduate Mathematics (MMath) with Study in Europe