MA303 Half Unit
Chaos in Dynamical Systems
This information is for the 2018/19 session.
Teacher responsible
Prof Graham Brightwell
Availability
This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc in Mathematics, Statistics, and Business and BSc in Statistics with Finance. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.
Pre-requisites
Mathematical Methods (MA100) and Introduction to Abstract Mathematics (MA103) are pre-requisites. It is highly desirable to have also taken the course Real Analysis (MA203).
Course content
Given a function f:X->X, what is the (iterative) behaviour of fn (x)=f(f(...(f(x)) )) (f applied n times). What do 'orbits' of f look like - an orbit has the form x, f(x), f(f(x)).,,, Particular emphasis is given to long-term evolution and stability analysis of such systems f:X->X. We explore connections with so-called fractal sets, which are roughly sets that look the same at any degree of magnification, and may have a dimension which is not an integer. We also discuss chaotic maps f, where fn (x) cannot be determined if there is any small uncertainty about x. Topics covered: Iteration of discrete maps. Orbit analysis. Contraction mapping theorem. Quadratic maps. Bifurcations. Definition of chaos. Sarkovskii's theorem. Fractal sets.
Teaching
21 hours of lectures and 10 hours of classes in the LT. 1 hour of lectures in the ST.
.
Formative coursework
Written answers to set problems will be expected on a weekly basis.
Indicative reading
Full lecture notes will be provided. The following may prove useful, R Devaney, A First Course in Chaotic Dynamical Systems; R Devaney, An Introduction to Chaotic Dynamical Systems; E Scheinerman, Invitation to Dynamical Systems. A fun and interesting read might be Glieck, J.,Chaos: Making a New Science.
Assessment
Exam (100%, duration: 2 hours) in the summer exam period.
Key facts
Department: Mathematics
Total students 2017/18: 15
Average class size 2017/18: 15
Capped 2017/18: No
Value: Half Unit
PDAM skills
- Self-management
- Problem solving
- Application of information skills
- Communication
- Application of numeracy skills
- Specialist skills