SubjectsSubjects(version: 955)
Course, academic year 2023/2024
Statistical Thermodynamics - P403002
Title: Statistická termodynamika
Guaranteed by: Department of Physical Chemistry (403)
Faculty: Faculty of Chemical Engineering
Actual: from 2023 to 2023
Semester: summer
Points: summer s.:0
E-Credits: summer s.:0
Examination process: summer s.:
Hours per week, examination: summer s.:3/0, other [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Note: course is intended for doctoral students only
can be fulfilled in the future
Guarantor: Malijevský Alexandr prof. Mgr. Ph.D., DSc.
Heyda Jan doc. RNDr. Mgr. Ph.D.
Bendová Magdalena Ing. Ph.D.
Is interchangeable with: AP403002
Annotation -
The purpose of the Ph.D. student course is to present the key chapters of statistical mechanics and to illustrate its advanced application on a description of thermodynamics and structure properties of model many-body interacting systems.
Last update: Matějka Pavel (03.09.2019)
Aim of the course -

Students will understand fundamentals of statistical mechanics and will be able to predict a macroscopic behaviour of thermodynamic systems from the knowledge of interaction properties of the microscopic constituents.

Last update: Malijevský Alexandr (04.10.2018)
Literature -

R: B. Widom: Statistical Mechanics (A concise introduction for chemists), Cambridge university press, Cambridge 2002.

A: J.-P. Hansen a I.R. McDonald: Theory of simple liquids, 3rd Edition, Elsevier, Amsterdam 2006.

Last update: Řehák Karel (17.10.2018)
Learning resources -


Last update: Malijevský Alexandr (04.10.2018)
Teaching methods -

Lecture or consultations.

Last update: Malijevský Alexandr (04.10.2018)
Syllabus -

1) Statistical mathematics, fundamentals. Mean, fluctuation, correlation.

2) Statistical distributions. Binomial, Poisson, normal.

3) The fundamental theorem of statistical mechanics. Ergodic hypothesis. Time average versus ensemble average.

4) Microcanonical ensemble. Statistical entropy. Conditions of phase equilibrium.

5) Canonical ensemble. Boltzmann factor. Partition function.

6) Virial and equipartition theorem.

7) Grand-canonical ensemble.

8) Ideal crystal.

9) Non-interacting molecules. Vibration and rotation.

10) Non-ideal gas. Correlation functions.

11) Integral theory.

Last update: Matějka Pavel (04.09.2019)
Entry requirements -

Physical chemistry (bachelor courses)

Last update: Řehák Karel (24.10.2018)
Course completion requirements -

Oral exam.

Last update: Malijevský Alexandr (04.10.2018)