Statistical Physics II (PHYS*4240)
Code and section: PHYS*4240*01
Term: Fall 2011
Instructor: Elisabeth Nicol
A continuation of PHYS*3240 including a discussion of the grand canonical distribution, quantum statistics, and transport theory.
Prerequisites: PHYS*3240 (Statistical Physics I) and PHYS*3230 (Quantum Mechanics I). It is assumed that the student has a good knowledge of thermodynamics and some notions of statistical mechanics. The course relies also on a working knowledge of classical mechanics, quantum mechanics, and electromagnetism.
This course is a continuation of the study of the laws of statistical mechanics and thermodynamics begun in PHYS*3240, Statistical Physics I. Statistical Physics is the study of the physical properties of systems consisting of a very large number of atoms, molecules, or other particles. In spite of the enormous complexity of macroscopic bodies
when viewed from an atomistic viewpoint these bodies obey quite definite laws. Macroscopic observable quantities such as temperature and pressure are averages over microscopic properties and the macroscopic laws which these quantities obey are of a statistical nature. The objectives of this course are to develop an understanding of the statistical nature of the laws of thermodynamics, to examine the basic theory of statistical mechanics and to
apply this theory to a wide variety of interesting problems.
There is no course text. Lecture notes will be posted on Courselink. These are taken from a typed set of notes by Eric Poisson which can be found on his web site (see faculty link on the departmental web site).
A Previous Course Text: Roger Bowley and Mariana S´anchez, Introductory Statistical Mechanics, 2nd ed. (Oxford University Press, 1999, Oxford).
Some of the Classic References
- F. Reif, Fundamentals of Statistical and Thermal Physics (McGraw-Hill, 1965, QC 175.R43).
- F. Mandl, Statistical Physics, Second Edition (Wiley, 1988, QC 174.8.M27).
- D.L. Goodstein, States of Matter (Prentice Hall, 1975; Dover, 1985, QC 173.3.G66).
- K. Huang, Statistical Mechanics, Second Edition (Wiley, 1987, QC 174.8.H83).
- C. Kittel and H. Kroemer, Thermal Physics, Second Edition (Freeman, 1980, QC 311.5.K52).
- L.D. Landau and E.M. Lifshitz, Statistical Physics, Third Edition, Part 1 (Pergamon, 1980, QC 175.L32).
- P.K. Pathria, Statistical Mechanics (Pergamon, 1972, QC 175.P35).
At this stage of your education, you should be consulting more than one text to enhance your learning and understanding of the material. No particular book is perfect in all respects and scientists regularly refer to several books and papers to understand a concept.
- Review of thermodynamics
- Statistical mechanics of isolated systems
- Statistical mechanics of interacting systems
- Quantum statistics of ideal gases
- Black-body radiation
- Heat capacity of solids
- Bose-Einstein Condensation
Method of Evaluation
|Quizzes (best 9 out of 11)||15%|
The final examination has been set for Tuesday, December 6 from 7:00-9:00pm (location to be announced). The midterm test is tentatively scheduled for Thursday, October 27 from 7:00-9:00pm. If the midterm test is missed because of illness or for compassionate reasons, the student should obtain a medical certificate or similar documentation and consult me. There will be eleven ten-minute quizzes. Each will have about 10 multiple choice or short answer questions which will test the material covered in the previous week’s lectures, assignment work, and the Monday lecture before the quiz. The quizzes will be given in the last ten minutes of the Wednesday class starting in week 2 of the course. The best 9 marks out of 11 quizzes will be used to determine the quiz grade out of 15 for the
final mark. Therefore, up to two quizzes may be missed without penalty and no make-up quizzes will be offered for missed quizzes. Assignments will be due approximately every two weeks on the Friday, at beginning of class (no late assignments accepted). High
presentation standards are expected.
At present, I do not have fixed office hours for consultation, however, should it become necessary, I will post office hours outside my door and inform you in class of these hours. You can, of course, always make an appointment to see me.
Collaboration versus Copying
Scientists work alone or in groups, very often consulting fellow scientists and discussing their research problems with peers. Collaboration is a feature of scientific activity and there are many benefits to working with others. However, no ethical scientist would ever publish or claim the work of others as his or her own and generally scientists give reference to the appropriate source of ideas or techniques which are not their own.
You are a young scientist and, in this spirit, I encourage you to discuss with others as you learn the material and work on the problem assignments. However, the work that you submit as your assignment must be your own and not a copy of someone else’s work.
Identical scripts will be given a mark of zero and plagiarism will be dealt with severely. I encourage you to cite your references, citing books and other articles when they are used and acknowledging discussions with those who have helped you in your understanding and
completion of the problem. This is good scientific practice.
The University of Guelph takes a serious view of academic misconduct and will severely penalize those who are found guilty of offenses associated with misappropriation of others’ work, misrepresentation of personal performance and fraud, improper access to
scholarly resources, and obstructing others in pursuit of their academic endeavours. Each student is assumed to be familiar with the regulations surrounding academic misconducts, as spelled out in the Undergraduate Calendar.