Advanced Statistical Physics
Module version of WS 2019/20
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions|
|WS 2021/2||WS 2020/1||WS 2019/20||WS 2017/8|
PH2260 is a semester module in German or English language at which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Specific catalogue of special courses for Biophysics
- Complementary catalogue of special courses for condensed matter physics
- Complementary catalogue of special courses for nuclear, particle, and astrophysics
- Complementary catalogue of special courses for Applied and Engineering Physics
- Specialization Modules in Elite-Master Program Theoretical and Mathematical Physics (TMP)
If not stated otherwise for export to a non-physics program the student workload is given in the following table.
|Total workload||Contact hours||Credits (ECTS)|
|300 h||90 h||10 CP|
Responsible coordinator of the module PH2260 in the version of WS 2019/20 was Ulrich Gerland.
Content, Learning Outcome and Preconditions
- Phase Transitions and Critical Phenomena
- Landau-Ginzburg Theory
- Renormalization Group (Basics)
- Irreversible Processes and Non-Equilibrium Phenomena
- Pattern Formation
After successful completion of the module the students are able to:
- Explain the concept of critical phenomena and analyse them with the help of critical exponents
- Understand the use and methodology of the renormalisation group approach
- Analyse a given system using the renormalisation group approach
- Explain the Ginzburg-Landau theory and apply the renormalisation group approach to it
- Explain and compare different approaches of non-equilibrium physics
- Understand the basic principles underlying pattern formation processes
Familiarity with the basic concepts of statistical physics on bachelor level (PH0008) is required.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||4||Advanced Statistical Physics||Knolle, J.||
Tue, 08:00–10:00, virtuell
Fri, 10:00–12:00, virtuell
|UE||2||Exercise to Advanced Statistical Physics||
Responsible/Coordination: Knolle, J.
|dates in groups|
Learning and Teaching Methods
This module consists of a lecture and an exercise class.
In the thematically structured lecture the theoretical contents are presented and discussed. The relevant experimental results for phase transitions, non-equilibrium phenomena and pattern formation processes are presented. Building on that the theoretical models for their description are developed on the blackboard together with the students. Solution- and approximation methods like the renormalization group approach for phase transitions are presented and discussed. A dialogical structure of the lecture is emphasized to advance the analytic-physics intellectual power of the students and to encourage a critical scrutinization of the chosen approaches.
In the problem sets the students have the opportunity to apply the presented techniques to concrete problem examples and to analyze the results. In the course of this analytic calculation exercises, simple numerical simulations and conceptual questions with answers in the form of continuous text are chosen as task form. The solution proposals of the students are corrected to give the students feedback for their modeling and solution abilities and to detect and correct misconceptions as early as possible.
In the exercises the solutions of the problem sets are presented as well as common misconceptions. Furthermore, specific topics of the lecture are discussed in-depth and relevant aspects are reviewed in regular intervals. Questions of students are given a large space.
Blackboard Presentations, PowerPoint Presentations, Problem Sets
- M. Le Bellac, F. Mortessagne, G.G. Batrouni: Equilibrium and Non-Equilibrium Statistical Thermodynamics, Cambridge University Press, (2004)
- M. Kardar: Statistical Physics of Particles, Cambridge University Press, (2007)
- M. Kardar: Statistical Physics of Fields, Cambridge University Press, (2007)
- S.R. de Groot & P. Mazur: Non-Equilibrium Thermodynamics, Dover Publications, (2011)
Description of exams and course work
There will be an oral exam of 30 minutes duration. Therein the achievement of the competencies given in section learning outcome is tested exemplarily at least to the given cognition level using comprehension questions and sample calculations.
For example an assignment in the exam might be:
- Analyse the Ginzburg-Landau theory with the renormalisation group approach.
- Explain the concept of a critical exponent.
Participation in the tutorials is strongly recommended since the exercises prepare for the problems of the exam and rehearse the specific competencies.
There will be a bonus (one intermediate stepping of "0,3" to the better grade) on passed module exams (4,3 is not upgraded to 4,0). The bonus is applicable to the exam period directly following the lecture period (not to the exam repetition) and subject to the condition that the student passes the mid-term of solving at least 70% of the homework problems.
The exam may be repeated at the end of the semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Exam to Advanced Statistical Physics|
|Thu, 2022-06-30||Dummy-Termin. Wenden Sie sich zur individuellen Terminvereinbarung an die/den Prüfer(in). Anmeldung für Prüfungstermin zwischen Mo, 04.04.2022 und Sa, 30.04.2022. Melden Sie sich bitte nur an, wenn Sie die Prüfung verbindlich auch nach Lektüre der Informationen unter https://www.tum.de/die-tum/aktuelles/coronavirus/pruefungen/ ablegen werden. // Dummy date. Contact examiner for individual appointment. Registration for exam date between Mon, 2022-04-04 and Sat, 2022-04-30. See https://www.tum.de/en/about-tum/news/coronavirus/coronavirus-exams/ for further information and only register after reading!||till 2022-06-23|