ICFP Stat Physics 2017
From Werner KRAUTH
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* [http://www.lps.ens.fr/~krauth/images/6/6d/TD01_ICFP_2016.pdf Tutorial 01: Characteristic functions / Stable distributions] | * [http://www.lps.ens.fr/~krauth/images/6/6d/TD01_ICFP_2016.pdf Tutorial 01: Characteristic functions / Stable distributions] | ||
* [http://www.lps.ens.fr/~krauth/images/b/b4/HW01_ICFP_2016.pdf Homework 01: Chebychev inequality / Rényi formula / Lévy distribution] | * [http://www.lps.ens.fr/~krauth/images/b/b4/HW01_ICFP_2016.pdf Homework 01: Chebychev inequality / Rényi formula / Lévy distribution] | ||
- | ** NB: Homework 01 will be corrected, but does not count for the final grade ("dry run"). Due on 14 September 2016, return of corrected copies: 21 September 2016. | ||
** Useful program: [[renyi_problem_HW01_ICFP_2016.py| Renyi.py: Probability distribution of a sum of uniform random numbers]] | ** Useful program: [[renyi_problem_HW01_ICFP_2016.py| Renyi.py: Probability distribution of a sum of uniform random numbers]] | ||
** Useful program: [[levy_problem_HW01_ICFP_2016.py| Levy.py: Probability distribution of a sum of random variables that may (or may not) have an infinite variance]] | ** Useful program: [[levy_problem_HW01_ICFP_2016.py| Levy.py: Probability distribution of a sum of random variables that may (or may not) have an infinite variance]] | ||
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==Week 12 (20 November 2017): Phases and phase transitions: Van der Waals theory== | ==Week 12 (20 November 2017): Phases and phase transitions: Van der Waals theory== | ||
==Week 13 (27 November 2017): Quantum statistics 1/2: Ideal Bosons== | ==Week 13 (27 November 2017): Quantum statistics 1/2: Ideal Bosons== | ||
- | ==Week 14 (04 December 2017): Quantum statistics 2/2: 4He and the 3D Heisenberg model, Non- | + | ==Week 14 (04 December 2017): Quantum statistics 2/2: 4He and the 3D Heisenberg model, Non-classical rotational inertia== |
==Week 15 (11 December 2017): The Fluctuation-Dissipation theorem (an introduction)== | ==Week 15 (11 December 2017): The Fluctuation-Dissipation theorem (an introduction)== | ||
Revision as of 10:31, 30 August 2017
This is the homepage for the ICFP course: Statistical Physics: Concepts and Applications that is running from 2 September 2017 through 11 December 2017.
Lectures: Werner KRAUTH
Practicals & Homeworks: Jacopo De Nardis, Olga PETROVA
Look here for practical information
Week 1 (4 September 2017): Probability theory
- Tutorial 01: Characteristic functions / Stable distributions
- Homework 01: Chebychev inequality / Rényi formula / Lévy distribution
Week 2 (11 September 2017): Statistical inference
Week 3 (18 September 2017): Statistical mechanics and Thermodynamics
Week 4 (25 September 2017): Physics in one dimension - Hard spheres and the Ising model
Week 5 (02 October 2017): Two-dimensional Ising model: From Ising to Onsager
Week 6 (09 October 2017): Two-dimensional Ising model: From Kramers & Wannier to Kac & Ward
Week 7 (16 October 2017): Kosterlitz-Thouless physics (physics in two dimensions) 1/2: The XY (planar rotor) model
Week 8 (23 October 2017): Kosterlitz-Thouless physics (physics in two dimensions) 2/2: Melting theory in two dimensions (KTHNY theory)
Week 9 (30 October 2017): Mean-Field theory 1/2 - The three pillars: Self-consistency, absence of fluctuations, infinite-dimensional limit
Week 10 (06 November 2017): Mean-Field theory 2/2 - Landau theory (definite formulation of MFT (1937), Ginzburg criterium (validity of MFT (1960))
Week 11 (13 November 2017): The renormalization group - an introduction
Week 12 (20 November 2017): Phases and phase transitions: Van der Waals theory
Week 13 (27 November 2017): Quantum statistics 1/2: Ideal Bosons
Week 14 (04 December 2017): Quantum statistics 2/2: 4He and the 3D Heisenberg model, Non-classical rotational inertia
Week 15 (11 December 2017): The Fluctuation-Dissipation theorem (an introduction)
References
Lecture notes are not yet available. A few essential references are given each week. ICFP students can access these references from within the Department (you may for example connect to Web of Science, and download them from there). You may also ask the library staff at 29 rue d'Ulm.
Books
- L. Wasserman, "All of Statistics, A Concise Course in Statistical Inference" (Springer, 2005)
- W. Krauth, "Statistical Mechanics: Algorithms and Computations" (Oxford, 2006)
- M Plischke, B Bergersen, "Equilibrium Statistical Physics" (World Scientific)
- L. D. Landau, E. M. Lifshitz, "Statistical Physics" (Pergamon)