Reading course in statistical physics

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SUMMARY

The forum discussion centers on an online reading course of "Statistical Physics" by Reif, specifically focusing on Chapter 3. Participants explore the differences between quantum and classical descriptions of systems, particularly regarding the number of quantum numbers required for an ideal gas. The conversation highlights the necessity of understanding indistinguishable particles in quantum mechanics, emphasizing the use of occupation numbers and the implications of bosonic and fermionic statistics. Key equations and concepts, such as the maximum-entropy principle and the relationship between microstates and probabilities, are also examined.

PREREQUISITES
  • Understanding of quantum mechanics and classical mechanics
  • Familiarity with statistical mechanics concepts
  • Knowledge of bosons and fermions
  • Basic grasp of entropy and probability distributions
NEXT STEPS
  • Study the maximum-entropy principle in statistical mechanics
  • Learn about the differences between bosonic and fermionic systems
  • Explore the implications of indistinguishable particles in quantum mechanics
  • Investigate the Hamiltonian formulation in classical mechanics
USEFUL FOR

Students and researchers in physics, particularly those focusing on statistical mechanics, quantum mechanics, and thermodynamics. This discussion is beneficial for anyone seeking to deepen their understanding of the principles governing ideal gases and particle statistics.

  • #31
vanhees71 said:
From this
$$Y' \partial_x \sigma = X' \partial_y \sigma,$$
and this is a function of ##(x,y)##, which I can write in the Form ##X' Y'/\tau##. This shows that for functions with 2 independent variables for any inexact differential there's always an integrating factor, ##\tau##, such that
$$\mathrm{d} G/\tau=\mathrm{d} \sigma$$
is an exact differential.
Got it. The two expressions are the same so I can replace both with a 3rd expression.
The integration factor τ, which depends on x and y in general, is used to make the replacement correct. Something like that.

It will be interesting to read in the next chapter how this is applied to dS = d-Q / T.
(Couldn't find a crossed-out d.)
Somehow one also has to realize that this equation is only valid for a d-Q in a reversible process.
 
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  • #32
I have a rather general question about the definition of entropy used in chapter 5:
S = k ln Ω, where Ω is the number of available microstates.
Boltzmann wrote W rather than Ω, and I believe this stood for probability (Wahrscheinlichkeit).
Obviously this is not a number between 0 and 1, so it's more like something proportional to probability.

Probability would be number of available microstates divided by total number of microstates (including those that are not available).
Now for distinguishable particles both these numbers are bigger than for indistinguishable particles, by a factor N!, where N is the number of particles, in the case of low occupancy.

Would it make sense therefore to use the following definition of entropy for distinguishable particles to make sure that this "probability" W is calculated correctly?
S = k ln (Ω / N!) for distinguishable particles at low occupancy.
 
  • #33
Philip Koeck said:
I have a rather general question about the definition of entropy used in chapter 5:
S = k ln Ω, where Ω is the number of available microstates.
Boltzmann wrote W rather than Ω, and I believe this stood for probability (Wahrscheinlichkeit).
Obviously this is not a number between 0 and 1, so it's more like something proportional to probability.

Probability would be number of available microstates divided by total number of microstates (including those that are not available).
Now for distinguishable particles both these numbers are bigger than for indistinguishable particles, by a factor N!, where N is the number of particles, in the case of low occupancy.

Would it make sense therefore to use the following definition of entropy for distinguishable particles to make sure that this "probability" W is calculated correctly?
S = k ln (Ω / N!) for distinguishable particles at low occupancy.
Maybe I should move this to a new post.
 

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