Partition Function: 2 Approaches & Questions Answered

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Discussion Overview

The discussion revolves around the concept of the partition function in statistical mechanics, specifically comparing two approaches: the canonical partition function and a method involving an isolated system. Participants explore the definitions, implications, and conditions under which these approaches are applied, raising questions about their differences and the treatment of distinguishable versus indistinguishable particles.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • One participant describes the canonical partition function for a closed system in thermal equilibrium with a heat bath, presenting the formula and its implications.
  • Another participant suggests that the second approach relates to the Boltzmann distribution for individual classical particles, linking it to the Gibbs distribution.
  • There is a proposal to refer to the second approach's partition function as the "molecular partition function," with questions about calculating the total partition function for a system of distinguishable particles.
  • Participants discuss the distinction between distinguishable and indistinguishable particles in calculating the total partition function, noting the need for a correction factor for indistinguishable particles.
  • Concerns are raised about the applicability of the canonical ensemble when no heat bath is present, leading to confusion about the proper use of ensembles in statistical physics.
  • One participant notes that the thermodynamics of small systems can complicate the equivalence of different ensembles, particularly in the limit of large systems.
  • Another participant expresses confusion over the inconsistent treatment of canonical ensembles in various texts, highlighting a lack of clarity in the criteria for their application.
  • A later reply suggests that the choice of ensemble is a technical detail that may not significantly impact the overall understanding of the subject.

Areas of Agreement / Disagreement

Participants express a range of views on the definitions and applications of the partition function, with no consensus reached on the conditions under which different ensembles should be applied. Confusion persists regarding the treatment of systems without heat baths and the implications for the canonical ensemble.

Contextual Notes

Participants highlight limitations in the clarity of definitions and the criteria for using different statistical ensembles, particularly in the context of small systems versus large systems.

amjad-sh
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I was reading about partition function. I noticed that there are two approaches toward partition function.

The first approach:
Suppose we are dealing with a closed system where the system is composed of heat bath (R) and inside it there is a very small system (E), the two systems are in thermal equilibrium with temperature T.
This is called the canonical partition function. I will not write the derivation but the canonical partition function obtained is Z=\sum_{l=0}^{Ω_{s}} e^{-E_{l}/k_{B}T} Where E_{l} is the energy of the system (E) and Ω_{s} is the total number of microstates for system (E).
p(E_l)=e^{-E_l/k_BT}/Z
The system (E) +(R) is isolated.
To emphasis here the system is composed of a heat reservoir (R), which is a huge system and a very small system (E).
The second approach:
we have here a big isolated system (G), the number of microstates at thermal equilibrium is approximately equal to t{nj*}, where t{nj*} is the number of microstates corresponding to the distribution{nj*} which is the average distribution. The average distribution is the thermal distribution.
So Ω\approx t{n_j*} ( when N the number of particles is very large). This means that the thermal distribution is the most probable distribution.

We have that t{nj}=N!/nj! then ln(t)=lnN!-∑ln(nj!)⇒lnt=(NlnN-N)-∑(njln(nj)-nj) Note : nj is the number of particles in the state j.

The most probable distribution correspond to the maximum t, which satisfies the equation d(lnt )=-∑dnjln(nj)=0.
As N and U are fixed then d(N)=∑d(nj)=0 and d(U)=∑εjdnj=0 where εj is the energy corresponding to the state j.

Using Lagrange multiplier method, we will get ∑(-ln(nj*)+α+βεj)dnj=0 for any values of α and β.
then -ln(nj*)+α+βεj=0 then"" nj*=exp(α+βεj)"" which is the Boltzmann distribution.
the partition function is defined here by Z=∑exp(βεj) where β=-1/kT where k is the Boltzmann constant.Now let's divide the isolated system (G) into two systems "p" and "q".
where the system "p" has energy Up and number of particles Np,and "q" has energy Uq and number of particles Nq.
At thermal equilibrium, we have for system "p" nj=exp(αp+βεj) and for system "q" nj'=exp(αq+βεj') Where nj and nj' are the number of particles that have energies εj and εj' respectively at thermal equilibrium.

For system"p" Zp=Σexp(βεj) and for "q" Zq=∑exp(βεj').

My question: why the partition function is defined differently in the second case( where I divided the isolated system into two systems p and q),as εj here does not represent the energy of the system but the energy of specific particles in the system ? Is it because it is not considered an canonical ensemble as there is no heat bath?
How the partition function can be different from case to case and why?Thanks!
 
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I think the second approach you mention is the boltzmann-distribution function for the energies of individual classical particles. (as in the Maxwell-Boltzmann distribution for velocities)

Because particles are indistinguishable according to QM, you need an ensemble description for statistical physics, which means you are looking at the distribution of the whole system. This is the first approach, commonly called the Gibbs distribution.
 
thephystudent said:
I think the second approach you mention is the boltzmann-distribution function for the energies of individual classical particles.
and it is the partition function I mentioned in the next approach. Can we name it the molecular partition function?
So for the system "p" in the next approach, the partition function Z is the partition function of a single particle. As "p" contains Np particles, can we obtain the partition function of the whole system by multiplying the partition functions, such that Ztotal=Z^N?If No, is it because the system here is not canonical?
 
amjad-sh said:
and it is the partition function I mentioned in the next approach. Can we name it the molecular partition function?
So for the system "p" in the next approach, the partition function Z is the partition function of a single particle. As "p" contains Np particles, can we obtain the partition function of the whole system by multiplying the partition functions, such that Ztotal=Z^N?If No, is it because the system here is not canonical?

You can for particles that are considered distinguishable, for indistinguishable particles Ztotal=Z^N/(N!)
 
thephystudent said:
You can for particles that are considered distinguishable, for indistinguishable particles Ztotal=Z^N/(N!)
Ok.
Suppose that the particles in system "p" are distinguishable, does Ztotal here is the same of the Z that is related to the Gibbs approach?
 
amjad-sh said:
Ok.
Suppose that the particles in system "p" are distinguishable, does Ztotal here is the same of the Z that is related to the Gibbs approach?

Yes, the Gibbs approach works everytime if you use the proper set of states. If there are two particles that can either be in state A or B, the ##\Omega_s## contains four elements in the distinguishable case (AA, AB, BA, BB) and three in the indistinguishable case (AA,AB=BA,BB). Other constraints on the allowed states such as pauli exclusion, can be added as well.
 
thephystudent said:
Yes, the Gibbs approach works everytime if you use the proper set of states. If there are two particles that can either be in state A or B, the ##\Omega_s## contains four elements in the distinguishable case (AA, AB, BA, BB) and three in the indistinguishable case (AA,AB=BA,BB). Other constraints on the allowed states such as pauli exclusion, can be added as well.
But the system I mentioned in the original post("p" and"q") can't be treated in canonical ensemble, since there is no heat bath, the systems "p" and "q" have the same dimensions, so I think the partition function related to "p" is not canonical.
So ( I think) that's why we go to the molecular partition function, where we treated every particle by its own(correct me if I'm wrong). So how comes in this case that Ztotal^N =Z(canonical)?
 
amjad-sh said:
But the system I mentioned in the original post("p" and"q") can't be treated in canonical ensemble, since there is no heat bath, the systems "p" and "q" have the same dimensions, so I think the partition function related to "p" is not canonical.
So ( I think) that's why we go to the molecular partition function, where we treated every particle by its own(correct me if I'm wrong). So how comes in this case that Ztotal^N =Z(canonical)?

Might be, thermodynamics of small systems is always a bit tricky. In the limit of big systems, canonical, microcanonical and grandcanonical become equivalent.
 
The problem in statistical physics is that the concepts are missed up together.
There is no a clear method where we can use canonical ensemble and where we can't.
Some texts books emphasize that a heat bath must exist to consider canonical ensemble, while others deals with systems that do not exchange energy with a heat bath,but with normal systems, and although treat it as an canonical ensemble!
I'm really confused!
 
  • #10
I would say that the proper choice of the ensemble is rather a technical detail, it doesn't really matter for viewing the big picture, so you shouldn't focus too much on it.
 

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