Statistical mechanics: mathematical preparation?

In summary: I would recommend that you have a strong background in calculus (especially Gaussian integrals), as quantum statistics will require a good understanding of probability theory. Additionally, you'll need some understanding of the basic concepts of quantum mechanics, such as wave-particle duality and the Heisenberg Uncertainty Principle.
  • #1
vincebs
148
1
Hey everyone,

I'm about to take a senior-level undergraduate course in statistical mechanics

What preparation in terms of mathematics and statistics knowledge do you think I'll need?

Is there any material in math/stats you would recommend for reading before the course starts?

Thanks,
Vince
 
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  • #2
I don't think you need much preparation. In my experience, most topics in statistical mechanics come sort of naturally from the physics. If you really want to prepare you might want to read up on general statistics (mean value, standard deviation) and some calculus (integration, especially Gaussian - though I doubt you'll really need that much and if you do, it won't be thoroughly repeated in the first lectures).
(Disclaimer: Note however, that this is my personal experience at my own university, and your experience or your course may differ. :smile:)

Is there no information page for the course which lists the prerequisites?
 
  • #3
No, the course information page ( http://www.physics.utoronto.ca/undergraduate/courses/fourth-year/PHY480S.html ) is very vague, plus there is not going to be a textbook for the course, though the prof did list a bunch of recommended books:

Recommended: R. K. Pathria, Statistical Mechanics. K. Huang, Statistical Mechanics. L. D. Landau and E. M. Lifshitz, Statistical Physics, Part 1.

I'm assuming that the course will be taught at almost a graduate level since we had to take a statistical mechanics course in our sophomore year with Kittel & Kroemer's "Thermal Physics" book.
 
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  • #4
Jeez, Pathria as recommended reading. Pathria IS very comprehensive, I'll give it that. . . but my final judgment on the book was it was just a horrible text for me at the time, and not a great text for anyone at any time. We used it in the grad level class, and I had never had either an undergrad stat mech nor thermo class before. If all I'd had was Pathria I wouldn't have learned much.

I found an old Kittel book from the library, "Elementary Statistical Mechanics" and that helped quite a bit. If you had a really good modern physics course maybe pathria is a good place to start, but it wouldn't hurt to look at the Kittel book first to see if it helps your foundation any.
 
  • #5
If I quickly scan the topic list at the bottom of that link, I don't think there is anything of which you won't find at least the basics covered in Kittel (the Thermal Physics book). Since I understand from your post that you had already bought that, I'd just try and see how far that gets you at first. I think maybe on quantum statistics it may not be entirely sufficient, but that also depends on how far the course will go. Also, maybe there are course notes that you can buy / will be handed out in class?
 
  • #6
Hmm he hasn't said anything about course notes, everything he's said is on the page.

What would I need to know for quantum statistics in terms of math and statistics?
 

Related to Statistical mechanics: mathematical preparation?

What is statistical mechanics?

Statistical mechanics is a branch of physics that uses statistical methods to explain and predict the behavior of a large number of particles, such as molecules, atoms, or subatomic particles. It aims to understand the macroscopic properties of a system by studying the microscopic behavior of its individual components.

What is the mathematical foundation of statistical mechanics?

The mathematical foundation of statistical mechanics is based on probability theory and statistical methods. It uses concepts such as entropy, partition function, and statistical ensembles to describe the behavior of a system at the microscopic level.

What are the main applications of statistical mechanics?

Statistical mechanics has many applications in various fields, including physics, chemistry, biology, and materials science. It is used to study the properties of gases, liquids, solids, and other complex systems. It also plays a crucial role in understanding phase transitions and critical phenomena.

What are the key concepts in statistical mechanics?

The key concepts in statistical mechanics include entropy, energy, temperature, partition function, statistical ensembles, and fluctuations. These concepts allow us to describe and understand the behavior of a system at the microscopic level and make predictions about its macroscopic properties.

What are the different approaches to statistical mechanics?

There are two main approaches to statistical mechanics: equilibrium and non-equilibrium. Equilibrium statistical mechanics deals with systems that are in thermal equilibrium, while non-equilibrium statistical mechanics studies systems that are not in equilibrium and are undergoing dynamic processes. Both approaches use different mathematical methods and techniques to describe the behavior of a system.

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