Gurantor department | Department of Physics | Credits | 5 |

Subject guarantor | doc. RNDr. Dalibor Ciprian, Ph.D. | Subject version guarantor | doc. RNDr. Dalibor Ciprian, Ph.D. |

Study level | undergraduate or graduate | Requirement | Compulsory |

Year | 1 | Semester | summer |

Study language | Czech | ||

Year of introduction | 2018/2019 | Year of cancellation | |

Intended for the faculties | FEI | Intended for study types | Follow-up Master |

Instruction secured by | |||
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Login | Name | Tuitor | Teacher giving lectures |

CIP10 | doc. RNDr. Dalibor Ciprian, Ph.D. | ||

GRY0091 | Ing. Michal Gryga |

Extent of instruction for forms of study | ||
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Form of study | Way of compl. | Extent |

Full-time | Credit and Examination | 2+2 |

The aim of the course is to present basic ideas and methods od statistical physics. After the course, the students are able to analyse and understand the behavior of simple systems described statistical physics models, and interconnect it to thermodynamics.

Lectures

Seminars

Tutorials

The content of the course is focused on basic ideas and methods of physical system description using mathematical statistics. The basic classical and quantum distributions are derived, and the interconnection with thermodynamics is presented. The applications of statistical physics methods are demonstrated on simple systems.

Reif, F., Fundamentals of Statistical and Thermal Physics, Waveland Pr Inc., 2008, ISBN-13 978-1577666127
Hill, T., L., An Introduction to Statistical Thermodynamics, Dover Publications, 1987, ISBN 978-0486652429

Chandler, D., Introduction to Modern Statistical Mechanics, Oxford University Press, 1987, ISBN 978-0195042771
Pathria, R., K., Statistical Mechanics, 3rd Ed., Academic Press, 2011, ISBN 978-0123821881

Discussion with students during the lessons, final written test.

no e-learning available

systematic out-of-class study required

Subject has no prerequisities.

Subject has no co-requisities.

1. Combinatorics and probability calculus essentials
2. Basic definitions and principles od statistical physics and classical mechanics
3. Statistical ensembles - micro and macrostates, mean values and fluctuations
4. Probability density, Liouville's theorem, ergodic hypothesis
5. Microcanonic ensemble, thermodynamic probability and entropy
6. Canonical ensemble and its properties, distribution and partition functions
7. Relationship of partition function and thermodynamic quantities
8. Applications - Maxwell-Boltzmann distribution, classical and quantum harmonic oscillator
9. Grandcanonical ensemble and its partition function, chemical potential
10. Quantum statistics - Fermi-Dirac and Bose-Einstein distributions
11. Applications - phonons, free electron and photon gas
12. Statistical physics of magnetism, lattice systems
13. Computer models in statistical mechanics

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points |
---|---|---|---|

Credit and Examination | Credit and Examination | 100 (100) | 51 |

Credit | Credit | 30 | 16 |

Examination | Examination | 70 | 35 |

Show history

Academic year | Programme | Field of study | Spec. | Zaměření | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
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2021/2022 | (N0533A110006) Applied Physics | P | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2020/2021 | (N0533A110006) Applied Physics | P | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2019/2020 | (N0533A110006) Applied Physics | P | Czech | Ostrava | 1 | Compulsory | study plan |

Block name | Academic year | Form of study | Study language | Year | W | S | Type of block | Block owner |
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