Tilman Enss | Teaching — Advanced Statistical Physics
as of 22 July 2019
2019-04-26: Written exam will be on Friday, 26 July 2019, 11:15–12:00h in Großer Hörsaal (Philosophenweg 12).
Advanced Statistical Physics (MVSpec)
Summer term 2019
This advanced theory course introduces paradigmatic models of statistical physics and their critical properties near phase transitions. In particular, we shall discuss the Heisenberg and O(N) vector models, the nonlinear sigma model, the XY model, the Sine-Gordon model, and the spherical model, as time permits. By computing their critical behavior, one can understand the phase transitions in many different systems in statistical physics, condensed matter physics and beyond, which belong to the same universality classes. We will use field theoretic methods and introduce renormalization, epsilon and 1/N expansions, and duality transformation.
- Landau theory and O(N) vector model
- Renormalization group and universality
- Nonlinear sigma model and epsilon expansion
- Topological excitations in the XY and Sine-Gordon models and the Kosterlitz-Thouless transition
- Spherical model and quantum phase transitions
Dates and Location
- Theoretical Statistical Physics (MKTP1)
- working knowlegde of phase transitions and field theoretical language
As an introduction, the lecture notes by Mudry are recommended; Mudry chapter 1 introduces the field theoretical language.
- Altland and Simons, Condensed Matter Field Theory, Cambridge University Press (2010)
- Cardy, Scaling and Renormalization in Statistical Physics, Cambridge University Press (1996)
- Mudry, Lecture Notes on Field Theory in Condensed Matter Physics, World Scientific (2014)
- Negele and Orland, Quantum Many-Particle Systems, Addison-Wesley (1988)
- Zinn-Justin, Phase Transitions and Renormalization Group, Oxford University Press (2007)
The written exam will be held on Friday, 26 July 2019, from 11:15-12:00h in Großer Hörsaal Phil12. Those who pass will get 4 credit points. In order to participate in the exam you need to register for the course; you may unregister yourself before July 19.