Stirling's approximation in Fermi Statistics derivation

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Discussion Overview

The discussion revolves around the derivation of Fermi-Dirac Statistics, specifically focusing on the use of Stirling's approximation and the treatment of occupation numbers in the context of quantum mechanics. Participants explore the implications of using factorials in the derivation and the assumptions regarding occupation probabilities.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant questions the validity of using Stirling's approximation for factorials of occupation numbers, arguing that since occupation numbers must be less than 1 due to Pauli's principle, the approximation "log(n_i!) ~ n_i * log(n_i) - n_i" is not appropriate.
  • Another participant notes that they do not recall factorials of occupation probabilities being used in the derivation, emphasizing that the multiplicity involves g_i states and probabilities f_i, which are less than one.
  • Concerns are raised about the size of g_i values, with one participant suggesting that for systems like an electron gas, g_i may not be large enough to justify Stirling's approximation.
  • Some participants acknowledge that while g_i values can vary, there are systems where justifying the use of Stirling's approximation is more complex, referencing literature on the topic.
  • A participant admits to a misunderstanding regarding the degeneracy factor in the context of electron gas, recognizing that their previous statement was incorrect.
  • Another participant introduces the concept of considering multiple copies of the same system to address the occupancy of states.

Areas of Agreement / Disagreement

Participants express differing views on the appropriateness of using Stirling's approximation in the derivation of Fermi-Dirac Statistics. There is no consensus on the validity of the factorial treatment or the implications of the degeneracy factors involved.

Contextual Notes

Participants highlight limitations in their understanding of the derivation, including the treatment of factorials and the assumptions regarding the size of g_i values. The discussion reflects a range of interpretations and uncertainties regarding the application of Stirling's approximation.

daktari
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Hi People.

I was looking at the derivation(s) of Fermi-Dirac Statistics by means of the "most probable distribution" (I know the correct way is to use ensembles, but my point is related to this derivation) and it usually employs Lagrange multipliers and Stirling's approximation on the factorials of the ocupation numbers "n_i".

So I would say that this is not correct since, even if you assume n_i to be continuous, the value for "n_i" has to be lower than 1 because of Pauli's principle. Then to make the approximation that "log(n_i!) ~ n_i * log(n_i) - n_i" can not be right!

However it is ussualy done that way in most textbooks. What would you suggest as an alternative to derive Fermi-Dirac Statistics most probable distribution?

thanks,
 
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Ehm, maybe my basic QM course has just been too long ago, but I do not remember any factorials of occupation probabilities in the derivation of the Fermi-Dirac statistics.

You have g_i states and f_i is the probability that a state with energy E_i is occupied, so in total you have g_i f_i occupied states.
Then the multiplicity is given by:

W=\Pi \frac{g_i!}{(g_i -g_i f_i)! (g_i f_i)!}

The f_i are indeed smaller than one, but there are no bare f_i! in the multiplicity.
 
Cthugha said:
Ehm, maybe my basic QM course has just been too long ago, but I do not remember any factorials of occupation probabilities in the derivation of the Fermi-Dirac statistics.

You have g_i states and f_i is the probability that a state with energy E_i is occupied, so in total you have g_i f_i occupied states.
Then the multiplicity is given by:

W=\Pi \frac{g_i!}{(g_i -g_i f_i)! (g_i f_i)!}

The f_i are indeed smaller than one, but there are no bare f_i! in the multiplicity.

Yes, but those g_i values are not large numbers. Just think on an electron gas, the value of g_i=2, which is not large enough to support the use of Stirling's approximation.
 
daktari said:
Yes, but those g_i values are not large numbers. Just think on an electron gas, the value of g_i=2, which is not large enough to support the use of Stirling's approximation.

BTW, I was assuming "g_i" was the degeneracy of each energy state.
 
Well, depending on the system these factors can be large (or it is at least justifiable to group nearly degenerate levels). However, there are also systems, where justifying this method is more complicated. See for example:
"on most probable distributions" PT Landsberg - Proceedings of the National Academy of Sciences, 1954
 
Cthugha said:
Well, depending on the system these factors can be large (or it is at least justifiable to group nearly degenerate levels). However, there are also systems, where justifying this method is more complicated. See for example:
"on most probable distributions" PT Landsberg - Proceedings of the National Academy of Sciences, 1954

Thanks. In fact I downloaded that article before posting on this forum, but the fact is that I don't find it very easy to follow. Thanks anyway!
 
daktari said:
Thanks. In fact I downloaded that article before posting on this forum, but the fact is that I don't find it very easy to follow. Thanks anyway!

Also I have just realized that my previous statement "electron gas, the value of g_i=2" is plainly wrong as that is only the degenerate factor due to spin but not the whole degeneracy factor on 6D phase space. Thanks.
 
Wat you do is you consider M copies of the same system. In each separate system (consisting of, say, N electrons) there can only be one electron in each state.
 

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