702811 VU Weiterführende Fachkompetenzen 2: Selected topics in statistical mechanics

Sommersemester 2019 | Stand: 08.04.2019 LV auf Merkliste setzen
702811
VU Weiterführende Fachkompetenzen 2: Selected topics in statistical mechanics
VU 4
7,5
wöch.
jährlich
Englisch

Absolvents should acquire the abilities to understand and express the contents of the course.

Statistical mechanics is a branch of physics that study systems with large number of elements. Classical examples, among others, are a glass of water (more than 10^23 molecules),  pice of iron (more than 10^23 atoms), population dynamics (around 10^9 people), cars on highway or  a porous stone. Giving an exact description of such systems is a very hard (e.g.  for water one needs to understand, at least 10^23 equations). Instead, one can provide a probabilistic description. Each elements has a random behaviour and the system is describe by very few parameters. We are interested in a large-scale behaviour of such systems (e.g. for water we are interested whether it is solid, liquid or gas). Often, for such systems we observe a phase transition, where a small change of a parameter leads to completely different macroscopic behaviour (e.g. think of a water around 0°C)

During this course, we will present and study some basic mathematical models from the statistical mechanics. One of the most important such model is an Ising model. Initially, introduce as a model for ferromagnetism, it has become one of the most important model in statistical physics with many applications (e.g. thermodynamics, neuroscience, study melt ponds on Artic sea ice, etc.). We will also describe the relation of the Ising model with other models (e.g. FK-percolation, etc.)

The aim of this course is to provide a mathematical background and then a rigours study of the models mentioned above. In particular, we will show the existence of the phase transition in the 2D Ising model.

Hausaufgaben, Vortrag, Beurteilung aufgrund eines einzigen Prüfungsaktes am Ende der Lehrveranstaltung. 

 

Stochastics 1, Stochastics 2, Complex Analysis

No prior knowledge in physics is required

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Datum Uhrzeit Ort
Di 05.03.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 07.03.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 12.03.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 14.03.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 19.03.2019
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Do 21.03.2019
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Di 26.03.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 28.03.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 02.04.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 04.04.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 09.04.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 11.04.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 30.04.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 02.05.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 07.05.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 09.05.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 14.05.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 16.05.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 21.05.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 23.05.2019
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Di 28.05.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Di 04.06.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 06.06.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 11.06.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 13.06.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei
Di 18.06.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Di 25.06.2019
16.15 - 18.00 HS 11 HS 11 Barrierefrei
Do 27.06.2019
08.15 - 10.00 SR 13 SR 13 Barrierefrei