Winter 2014 - 2015
Classical Complex Systems
(MSc. Advanced Theory, Lecturer: David Gross, Johan Aberg, Jens Timmer)
Announcements
Due to a traffic accident, the original lecturer will unfortunately not be able to teach this term. Additional information is available from the original course website.
Time & Venue
Lecture:
Tuesdays 10 - 12, SR 1, physics high rise
Thursdays 12 - 2, SR 1, physics high rise
Exercise:
Wednesdays 2 - 4 CIP pool
Contents
- Deterministic Dynamical Systems
- Logistics map, Bernoulli shift, tent map
- Orbits, stability, Lyapunov exponents
- Bifurcation mechanisms
- Invariant measures
- Feigenbaum universality
- Fractal dimension: box counting dimension, Koch curve, Cantor sets
- Stochastic Processes
- Probability theory recap: random variables, conditional probabilities, distribution functions
- Markov chains
- Transition matrices
- Stationary and limit distributions
- Time averages
- Recurrence times
- Reversibility, detailed balance
- Markov chain Monte Carlo simulations
- Random walks on graphs
- Continuous time, discrete space Markov chains: Gillespie algorithm
Prerequisites
Classical mechanics, differential equations, statistical physics
Literature
E. Ott, Chaos in Dynamical Systems
More to be added.
Lecture Notes
Inofficial lecture notes. All topics relevant for the exam are included. The last lectures will not be included. Some solutions of the last exercise are included to show an application of the Gillespie algorithm. If relevant errors are found they will be corrected. (last update: 10.02.15)
Computer Code
The Mathematica Notebook used to explore the logistics map.