Course title
熱統計力学演習   [Exercises in Statistical Thermodynamics Ⅱ]
Course category technology speciality courses,ets.  Requirement   Credit 1 
Department   Year 34  Semester 1st 
Course type 1st  Course code 023654
Instructor(s)
箕田 弘喜   [MINODA Hiroki]
Facility affiliation Faculty of Engineering Office   Email address

Course description
This class goes together with the lecture of “thermodynamics and statistical mechanics”. Each student is required to calculate a plenty of exercises by his or her hand in order to deepen the understanding and the way of thinking of statistical thermodynamics. This class is also to learn the basic mathematical techniques of statistical physics for solving the typical exercises and also for application to actual physics.
Expected Learning
Course schedule
Week 1 Probability and multiplicity
Week 2 Multiplicity function, average and sharpness and mean of the multiplicity function
Week 3 Entropy and the temperature
Week 4 Boltzmann factor
Week 5 Partition function and Hermholtz free energy
Week 6 Calculation using partition function, pressure
Week 7 Thermodynamic identity
Week 8 Classical statistical mechanics, equipartition law of energy
Week 9 Thermal radiation and Planck distribution
Week 10 Specific heat and the Debye theory for lattice vibration
Week 11 Chemical potential
Week 12 Gibbs factor and Gibbs sum
Week 13 Fermi-Dirac distribution and Bose-Einstein distribution
Week 14 Ideal gas and indistinguishability for identical particles
Week 15 Heat and work
There are possibilities that the schedule may change more or less due to the progress of the lecture.
Prerequisites
Mechanics I, II, Electromagnetics I, II, Introduction to quantum mechanics, Quantum mechanics I, Mathematical Physics I, II
Required Text(s) and Materials
Charles Kittel, “Thermal Physics” (W. H. Freeman and Company)
References
Assessment/Grading
contribution to the class (50%), midterm exam (25%), final exam (25%)
Message from instructor(s)
Course keywords
Entropy, Temperature, Boltzmann factor, Partition function, Helmholtz free energy, Planck distribution, Fermi-Dirac distribution, Bose-Einstein distribution, Gibbs factor, Gibbs sun, Gibbs free energy, Heat and work, Carnot cycle
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
Language Subject
Last update
6/8/2022 1:54:47 PM