# Archived: WS 17/18: Advanced Statistical Physics

**Lecture**

(from 17.10 to 08.02)

To facilitate the planning of the lecture please register in the TUM-Online Portal

No lecture on:

- Tuesday, 31.10.2017 ('Reformationstag')
- Tuesday 26.12.2017 ('Christmas Holidays')
- Thursday 28.12.2017 ('Christmas Holidays')
- Tuesday 02.01.2018 ('Christmas Holidays')
- Thursday 04.01.2018 ('Christmas Holidays')

**Tutorials**

- Thursday, 16:00-18:00 ZEI-Seminarraum (5414.EG.001)

On Thursday, 14.12.2017, the tutorial is shifted to ZEI Room 1002 (first floor right next to the staircase)

On Thursday, 01.02.2018, the tutorial is shifted to Tuesday, 30.01.2018 14:15-15:45 PH3344 (instead of the lecture). In the Tutorial slot on Thursday a revision of the course / question session will be offered.

**Preliminary Content**

- Phase Transitions and Critical Phenomena
- Landau-Ginzburg Theory
- Renormalization Group (Basics)
- Irreversible Processes and Non-Equilibrium Phenomena
- Pattern Formation

See also the module description

**Preconditions**

Familiarity with the basic concepts of statistical physics (approximately on the level of PH0008) is required.

**Literature**

- Michel LeBellac, Fabrice Mortessagne, G. George Batrouni: Equilibrium and Non-Equilibrium Statistical Thermodynamics (Cambridge University Press)
- Mehran Kardar: Statistical Physics of Particles (Cambridge University Press)
- Mehran Kardar: Statistical Physics of Fields (Cambridge University Press)
- Sybren Ruurds de Groot, Peter Mazur: Non-Equilibrium Thermodynamics (Dover Books on Physics)
- Simulating Physics with Computers (Feynman)
- Cellular Automata Matlab Program
- Cellular Automta as Models of Complexity (Wolfram, Nature)
- Universality and Complexity in Cellular Automata (Wolfram, Physica D)
- More Is Different (Anderson, Science)
- Chaos and Diffusion in Deterministic Cellular Automata (Grassberger, Physica D)
- Cellular Automata Slides
- further literature will be announced during the lecture

**Exam**

- In a written exam of 90 minutes the learning outcome is tested using comprehension questions and sample problems.
- In accordance with §12 (8) APSO the exam can be done as an oral exam. In this case the time duration is 45 minutes.

Registration:

- Register for the exam until 15.01.2018 in TUM-Online. The appointment shown there is just a dummy-appointment - please contact Prof. Gerland for an individual appointment.

**Exercises and Bonus**

Every week on Monday a problem set containing problems to be solved solely during the tutorial sessions and as homework is published on this website. Both types of problem will be discussed and solved during the tutorial sessions. The problems marked with homework additionally are to be solved at home prior to the tutorial and handed in on Monday at 10:00 in the following week (e.g. if the problem set is handed out on Monday, 30.10.2017, it needs to be handed in until Monday, 06.11.2017; the corresponding tutorial is then on Wednesday, 08.11.2017). They will then be corrected and marked by the tutor and handed back to you. Please write your name and your matriculation number on top of your homework. Further, please make sure that the sheets you hand in are thoroughly attached together. The homework can be handed in in the boxes in the cabinet between room 3218 and 3216.

There will be the possibility to obtain a bonus. It is subject to the following conditions:

- For at least 70% of the homework problems a resonable attempt to solve the question has to be made.
- A question counts as resonable attempted if your handed in homework shows that you made a substantial effort to solve the problem by using the theory presented in the lecture.
- The decision if a homework problem is resonable attempted is made by the corrector of the homework.
- You have to keep the returned homeworks and show them on demand.

Fulfilling these conditions at the end of the semester has the following consequences:

- The grade of a passed exam is improved by one step in the grading scale (0.3 or 0.4 respectively), e.g. a grade of 2.0 in the exam will be improved to 1.7, a grade of 1.7 to 1.3.
- A grade of 1.0 can not be improved.
- A grade on a failed exam can not be improved.
- The bonus is applicable to the exam period directly following the lecture period