NMAA13031U Dynamical Systems (DynSys)

Volume 2013/2014
Education
MSc programme in Mathematics
MSc programme in Statistics
MSc programme in Mathematics-Economics
Content
A dynamical system is a system which evolves as times goes by.
If the evolution law is fixed and deterministic,  we are dealing with iterations of a transformation from a space into itself  (discrete time) or an ordinary differential equation whose solution is a flow (continuous time). Many interesting examples arise in physics  (mechanics - in particular the solar system -  and statistical mechanics)  but also number theory, computer science, chemistry, biology... The long time evolution  is often unpredictable in practice ("chaos", "butterfly effect"), but  a qualitative description is possible for many interesting classes of systems, using e.g. methods from  probability theory  and functional analysis. Topics which will be presented include:
-Topological dynamics (coding, topological entropy...).
-Ergodic theory (Poincaré theorem, Birkhoff theorem, Kolmogorov  entropy, mixing, Shannon-McMillan-Breiman theorem, central limit  theorem and correlations functions...)
-Differentiable dynamics (one-dimensional real dynamics,  including  use of the Perron-Frobenius transfer operator;  hyperbolic dynamics in dimension two: stable and unstable manifolds, Hartman-Grobman theorem ...).
-Without proofs: Lyapunov exponents (Oseledec theorem, Ruelle inequality).
Learning Outcome
*Knowledge:
Know the fundamental  concepts of the course in topological, differentiable, and ergodic  dynamics,

*Skills:
Be able to analyse simple examples of topological or  differentiable dynamical systems, such as  determining transitiveness and mixing; invariance and ergodicity/mixing of a measure;  computing the topological and Kolmogorov entropies or analysing the  transfer operator in simple cases.

*Competences
Be able to exploit the main theorems of the course to  solve dynamically formulated  problems from physics, chemistry, or number theory.
Top, An2. Also MI, KomAn can be useful. Prior knowledge about manifold theory is not needed.
2 x 2 hours lecture and 1x 3 hours exercises (teaching assistant) per week for 7 weeks.
  • Category
  • Hours
  • Exam
  • 24
  • Guidance
  • 26
  • Lectures
  • 28
  • Preparation
  • 107
  • Theory exercises
  • 21
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Continuous assessment, assignment
Written examination, 3 hours under invigilation
Continuous assessment based on two assignments, each counting for 20% of the grade and a 3-hour written exam, counting for the final 60% of the grade.
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
One internal examiner.
Re-exam
Same as ordinary exam but notice that the assignments may be redone or the original assignments may count.
Criteria for exam assesment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome.