![[The University of Leicester]](http://www.le.ac.uk/corporateid/departmentresource/000066/unilogo.gif) | Department of Mathematics & Computer Science |
 |
Next: MC480 Mathematics Project
Up: Year 4
Previous: MC450 Finite Element Methods for Partial
MC451 Dynamical Systems
| Credits: 20 |
Convenor: Dr. R. L. Davidchack |
Semester: 1 |
| Prerequisites: |
essential: MC126, MC127, MC147, MC224, MC241 |
desirable: MC160, MC240 |
| Assessment: |
Coursework: 10% |
Three hour exam: 90% |
| Lectures: |
36 |
Problem Classes: |
10 |
| Tutorials: |
none |
Private Study: |
104 |
| Labs: |
none |
Seminars: |
none |
| Project: |
none |
Other: |
none |
| Surgeries: |
none |
Total: |
150 |
Explanation of Pre-requisites
The study of nonlinear dynamical systems requires basic knowledge of several
branches of mathematics: calculus (MC126), ordinary differential equations
(MC127), linear algebra (MC147, MC241), vector calculus (MC224).
Understanding of some essential consepts of chaos will be easier for those who
studied abstract analysis (MC240) and are familiar with the basics of
probability and statistics (MC160).
Course Description
This is an introduction into the subject that captures imagination
with words like 'chaos', 'fractals', 'strange attractors', 'devil's staircase',
etc. The main focus will be on providing an overall view of the subject,
without dwelling too much on specific areas or mathematical details.
The subject of dynamical systems is truly interdisciplinary, and its
concepts and methods are currently used in all fields of science, such as
physics, engineering, chemistry, biology,
physiology, economics, and sociology.
Therefore, the module should be interesting not only to mathematicians,
but also to physicists, engineers, chemists and everybody interested in the
subject.
Aims
To learn fundamentals and basic tools of the science of chaotic dynamics.
Objectives
By the end of the course students should have a general understanding of
the language and concepts in the theory of chaos, which will allow them
to explore further and understand the new developments in the rapidly
changing field.
Transferable Skills
Within the past two decades workers in many disciplines have realized that
a large variety of systems exhibit complicated evolution with time, which
can be studied within the context of nonlinear dynamics. Therefore, the
knowledge of the properties of nonlinear dynamical systems
becomes essential for further progress in almost every branch of science and
technology.
Syllabus
Dynamical systems, continuous and discrete. Poincaré surface of section.
Limit sets, attractors. Basin of attraction. Sensitive dependence on
initial conditions.
One-dimensional maps. Tent map. Fixed points, periodic orbits and their
stability. Bifurcations. Logistic map. Universal scaling of period doubling
bifurcations in quadratic maps. Other types of bifurcations in one-dimensional
maps. Measure, ergodicity and Lyapunov exponents for one-dimensional maps.
Strange attractors and fractal sets. Cantor set. Lebesgue measure.
Box-counting dimension. Natural measure and dimension spectrum.
Linear stability analysis. Invariant subspaces and manifolds. Homoclinic
and heteroclinic intersections. Lyapunov spectrum. Metric and topological
entropies.
Hamiltonian systems. Symplectic structure. Canonical transformations.
Integrable systems. Perturbation of integrable systems. The KAM theorem.
Resonant tori. Strongly chaotic systems. Classification of increasingly
random systems.
Chaotic transitions. Intermittency. Crises.
Reading list
Recommended:
E. Ott,
Chaos in Dynamical Systems,
Cambridge University Press.
R. L. Devaney,
An Introduction to Chaotic Dynamical Systems,
Addison-Wesley.
D. Ruelle,
Chaotic Evolution and Strange Attractors,
Cambridge University Press.
R. Z. Sagdeev, D. A. Usikov, and G. M. Zaslavsky,
Nonlinear Physics,
Harwood Academic Publishers.
Details of Assessment
The final assessment of this module will consist of 10% coursework
and 90% from a three hour examination during the January exam
period. The 10% coursework contribution will be determined by students'
solutions to coursework problems. The examination paper will contain
6 questions with full marks on the paper obtainable from 4 complete answers.
Next: MC480 Mathematics Project
Up: Year 4
Previous: MC450 Finite Element Methods for Partial
Author: S. J. Ambler, tel: +44 (0)116 252 3884
Last updated: 10/4/2000
MCS Web Maintainer
This document has been approved by the Head of Department.
© University of Leicester.