Statistical Physics - A0M02SF

Credits 4
Semesters Summer
Completion Assessment + Examination
Language of teaching undefined
Extent of teaching 3+1s
Annotation
The lecture is devoted to the fundamentals of statistical physics. It is the third part of four-part lecture cycle.
Course outlines
1. Basic principles: distribution function, mean value, mean quadratic fluctuation.
2. Liouvill theorem. Gibbs distributions.
3. Thermodynamic potentials: enthalpy, free energy, grandcanonical potential.
4. Chemical potential, entropy and probability.
5. Statistical distributions: Boltzmann and Maxwell distribution.
6. Fermi-Dirac and Bose-Einstein distribution.
7. Distributions behaviour and simple examples (black body radiation, ideal gas).
8. Metals, neutron stars.
9. Ferromagnetics a antiferromagnetics: Ising and Heisenberg model.
10. Superconductivity.
11. Degenerative fermion systems, boson condensation.
12. Monte Carlo methods. Metropolis method.
13. Nonequilibrium statistics, Boltzmann equation.
14. Momentum equation, transition to continuum.
Exercises outlines
thermodynamic potentials
EOS - ideal gas
other EOSs
rotational and vibrational spectra
Planck law, Stefan-Boltzmann law, Wien law
EOS - fermion gas
Monte Carlo calculation, various exapmles
Literature
[1] P. Kulhánek: Statistická fyzika, ČVUT, 2004, http://www.aldebaran.cz/studium/statistika.pdf
[2] E. M. Lifshitz, L. D. Landau. Course in theoretical Physics 5: Statistical Physics, Elsewier Science, 2003
Requirements
Theoretical Physics 1