Inhalt

[ 461GTPHSPIU23 ] UE Statistical Physics I

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M1 - Master's programme 1. year Physics Frank Müh 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Physics 2025W
Learning Outcomes
Competences
Upon successful completion of the course, students are able to demonstrate a comprehensive understanding of the fundamental principles and established concepts of the statistical physics of equilibrium systems. They can solve problems in the area of statistical physics of equilibrium systems.

This exercise is methodologically complemented by the lecture Statistical Physics I.

Skills Knowledge
Upon completing the course, students will possess the following skills. They are able to

  • understand and explain basic concepts of probability calculus and their application to physical problems (k2/k3);
  • apply their mathematical and physical knowledge for deriving key equations and quantities in the statistical physics of equilibrium systems (k3);
  • link concepts from classical and quantum mechanics to the statistical description of macroscopic physical systems in equilibrium (k2-k4);
  • apply key methods of statistical physics to model systems and physical problems (k3/k4).
During the course, students will acquire knowledge in the following areas and concepts of statistical physics:

  • mathematical treatment of probability;
  • random experiments and random variables;
  • moments, cumulants, and characteristic functions;
  • concept of missing information and its maximization under constraints;
  • link of statistical concepts to thermodynamics;
  • statistical ensembles;
  • Hamilton formalism of classical mechanics;
  • phase space statistics;
  • foundations of quantum mechanics;
  • mixed quantum states and density matrix;
  • basics of quantum many-particle physics;
  • fermions and bosons;
  • ideal quantum gases.
Criteria for evaluation Evaluation will be based on the number of successfully solved exercises, quality of the presentation, active participation in the exercise class and written exams when necessary.
Details are announced at the beginning of the semester.
Methods solving assignments (alone or in small groups) and presenting the results in class
Language English
Study material Students are expected to solve exercise questions. The solutions are then presented and discussed in class.
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
TPMPTUESTPH: UE Statistical Physics (2010S-2023S)
On-site course
Maximum number of participants 25
Assignment procedure Assignment according to priority