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I set up a Wiki for
- announcements
- notes
- publishing and discussing exercises
- providing solutions
Probabilities. distributions, moments, cumulants
characteristic functions, Laplace-Legendre transformationsRandom Processes. random walks, Lévy walks, anomalous transport
central limit theorem, Lévy distribution, large deviation theoryMarkov processes. master equation, Kramers-Moyal expansion, Fokker-Planck equation
ergodicity, transport theory, first passage problemsLangevin dynamics. stochastic differential equations, Stratonovic and Ito calculus
Kramers problem, reactions coordinates, path of least action
stochastic thermodynamics, fluctuation relations, linear-response theoryStochastic Thermodynamics. fluctuation relations, thermodynamic efficiency, linear-response theory
I will use Python and Sage for numerical studies and visualization. The script files are notebooks that run interactively in Jupyter. Please store them on your computer, start Jupyter, and then open the notebook. The files contain fairly minimalistic explanations and comments. Feel free to add more comments and explanations, and return them to me.
As introductions to Python and Sage I recommend the books Steward: "Python for Scientists" and Zimmermann u.a.: "Computational Mathematics with SageMath".
I am working on a skript with more information on the course. The PDF-version of the first draft can be downloaded here. A gzip-compressed tar bundle that contains the PDF-file and Sage-Skripts with further illustrations and first homework assignments is available here.
There will be a introductory session will meet an discuss about time slots for the lectures and the seminar.
where we discuss about the course, and time slots for the lectures and the seminar.
There will be oral exams at the earliest opportunity after the end of the term.
H. Haken Synergetics. An Introduction Springer 1983. an excellent introduction to key ideas from a physics perspective
Feller An Introduction to Probability Theory and its Applications, Vol 1 Wiley 1968. an excellent introduction to key ideas from a mathematics perspective
van Kampen Stochastic Processes in Physics and Chemistry Elsevier 1981 a rich source for applications in physics, in particular of Master equations
specialized sources worth considering: Risken The Fokker-Planck Equation Springer 1989 Gardiner Handbook of Stochastic Methods Springer 1985 Redner A Guide to First-Passage Processes Cambridge 2001
visionary classical texts: Einstein Investigations on the Theory of the Brownian Motion Dover 1956 Hill Free Energy Transduction and Biochemical Cycle Kinetics Dover 2005
U. Behn Literature List (PDF) Links of Interest