IF2692 Statistical Physics 7.5 credits
This course has been cancelled.
This course is no longer offered.
A suitable replacement course is:
SI2510 Statistical mechanics
Education cycleSecond cycle
Main field of studyPhysics
Grading scaleA, B, C, D, E, FX, F
Last planned examination: autumn 19.
At present this course is not scheduled to be offered.
Intended learning outcomes
State the principal assumptions behind the statistical mechanical description.
- Derive Bolzman’s law from the above assumptions.
- Use knowledge from probability theory and quantum mechanics to calculate the relevant partition function for a given system model.
- Motivate the second law of thermodynamics starting from Bolzman’s law.
- Calculate thermodynamic functions from the partition function for a given system.
- Chose the appropriate (calculable) ensemble for a given system.
- Chose and minimize the adequate thermodynamic function in order to find the equilibrium state of a system.
- Starting from a real life situation and using knowledge in quantum mechanics, mechanics, solid state physics etc. create a system model whose partition function can be calculated.
- Critically evaluate the relevance and applicability of a system model.
Course main content
- The microscopic foundations of thermodynamics
- Identical particles and distributions
- Quantum liquids
- Phase transitions
- Applications in economics (on request)
Introductory statistical mechanics, R. Bowley and M. SánchezUpplaga: 2a Förlag: Oxford science publications År: 1999ISBN: 0198505760
- ANN1 - Exercise, 7.5, grading scale: A, B, C, D, E, FX, F
The examination of the course is done through home work problems.
Oscar Tjernberg <firstname.lastname@example.org>
The course is evaluated and developed according to the KTH policy for Course Analysis (see KTH-Handbok 2, Tab 14.1)
The course is replaced by SK2752 as from autumn term 2017.
Course syllabus valid from: Autumn 2008.
Examination information valid from: Spring 2008.