717-2972/04 – Thermodynamics and Statistical Physics (TSF)

Gurantor departmentDepartment of PhysicsCredits4
Subject guarantordoc. RNDr. Dalibor Ciprian, Ph.D.Subject version guarantordoc. RNDr. Dalibor Ciprian, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year1Semestersummer
Study languageEnglish
Year of introduction2016/2017Year of cancellation2017/2018
Intended for the facultiesUSP, FEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
CIP10 doc. RNDr. Dalibor Ciprian, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

Collect the basic principles of thermodynamics and statistical physics Define the physical quantities for describing statistical ensembles with great numer of particles Apply the simple mathematical methods for describing of the thermodynamic phenomene Interpret the knowlidges from the mathematical statistics for solving of statistical physical problems

Teaching methods

Lectures
Seminars
Tutorials

Summary

The course is oriented on classical thrmodynamics and statistical physics.

Compulsory literature:

SONNTAG, R. E., BORGNAKKE, C., VAN WYLEN, G. J. Fundamentals of Thermodynamics. John Wiley&Sons, USA, 2003. ISBN 0-471-15232-3;

Recommended literature:

BEISER, A.: Concepts of Modern Physics, McGraw-Hill 2002

Way of continuous check of knowledge in the course of semester

Discussion with students during the lessons.

E-learning

No e-learinig available.

Other requirements

Systematic individual off-classroom study is assumed.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Basic concepts of thermodynamics, the state of thermodynamic equilibrium, the first and second postulate of thermodynamics. Reversible and irreversible processes, the criterion of reversibility of the process. 2. The first law of thermodynamics, heat capacity. The second law of thermodynamics. Entropy, entropy associated with the heat capacities of the system. 3. Thermodynamic potentials: internal energy, free energy, enthalpy, Gibbs potential. Gibbs - Helmholtz equation. Dependence of thermodynamic potentials of the number of particles in the system. Grandkanonical potential. The second law of thermodynamics for irreversible processes. Conditions of equilibrium thermodynamic system expressed by potentials. 4. Concepts of probability theory and mathematical statistics in statistical physics. Basic concepts and ideas of statistical physics. Microstates, macrostates, ensemble of systems. Ergodic hypothesis. Time evolution of probability density. 5. The mikrocanonical ensemble. Entropy and thermodynamic probability. 6. The canonical (Gibbs) ensemble. The partition function, partition sum (integral). Relationships between partition functions and thermodynamic quantities. Maxwell – Boltzmann´s distribution of velocities of gas molecules. Classical and quantum harmonic oscillator. 7. Grand canonical ensemble. Grand canonical partition function. The transition to quantum statistics. Fermi – Dirac´s distribution. Bose - Einsteinś distribution. Thermodynamic properties of photons file. Thermodynamic properties of a file of free electrons in the metal.

Conditions for subject completion

Full-time form (validity from: 2016/2017 Winter semester, validity until: 2017/2018 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 30 (30) 15 2
                written test (problem solution) Written test 30  15 2
        Examination Examination 70 (70) 30 3
                Written part Written test 30  15 3
                Oral part Oral examination 40  15 3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2017/2018 (N2658) Computational Sciences (2612T078) Computational Sciences P English Ostrava 1 Choice-compulsory study plan
2016/2017 (N2658) Computational Sciences (2612T078) Computational Sciences P English Ostrava 1 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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