## Admission requirements

Classical Mechanics a, Optics, Diffusion, Analysis1na, Linear Algebra1na, Analysis2na

## Description

Statistical Physics builds a bridge between the microscopic world of, for instance, atoms and molecules and the resulting collective behavior at the macroscopic level, that is described by thermodynamics, The concept of temperature and the fact that a very large number of particles is involved play crucial roles in making this work. Using probability theory and the Gibbs theory of ensembles the statistical physics of

systems in equilibrium is developed and applied to gases and other examples, such as rubber and magnetic systems.

## Course objectives

After finishing the course one has gained insight and one is able to perform calculations and short derivations concerning the following topics in statistical physics:

Thermal equilibrium, principle of equal probability

Entropy, temperature, microcanonical ensemble

Free energy, canonical ensemble, partition function, Maxwell relations

Ideal gases, pressure, phase space, degrees of freedom

Elasticity of rubber, Hooke’s Law

Magnetic systems, magnetisation and susceptibility, heat capacity, Ising model, mean-field approximation

Grand canonical ensemble

## Timetable

## Mode of instruction

Lectures, problem sessions

## Course Load

## Assessment method

Written exam with open questions (closed book).

## Blackboard

Material and communication concerning the course is provided via Blackboard.

To access Blackboard you need your ULCN-account Blackboard UL

## Reading list

Statistical Physics – An Introduction, D. Yoshioka (Springer Verlag Berlin, 2007).

ISBN 978-3-540-28605-9 (mandatory)

## Contact

Contactgegevens Docent:Dr.P. Denteneer (Peter)