Thermodynamic Limit: V/N = $\upsilon_0$ $\neq$ 0

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Discussion Overview

The discussion revolves around the thermodynamic limit where the ratio of volume (V) to the number of particles (N) approaches a non-zero constant (\(\upsilon_0\)). Participants explore the implications of this limit in statistical physics and its relevance to various physical systems.

Discussion Character

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

Main Points Raised

  • Some participants inquire about the mathematical correctness and context of the limit \(\lim_{N\rightarrow \infty}\frac{V}{N}=\upsilon_0\neq 0\), questioning whether it should also include \(\lim_{N\rightarrow \infty V\rightarrow \infty}\frac{V}{N}=\upsilon_0\neq 0\).
  • One participant critiques the first expression as mathematically incorrect and suggests that the second expression is not useful, as it implies two quantities tend to infinity at the same rate.
  • Another participant notes that the distance between particles is much less than the dimensions of the domain, implying that \(V\rightarrow \infty\) is a necessary assumption.
  • A participant explains that the thermodynamic limit is used in statistical physics to allow for integrals to replace sums, emphasizing that this is valid only when adding particles does not alter the system's characteristics significantly.
  • One participant discusses the implications of the average energy \(\left\langle H \right\rangle\) being proportional to \(N\) and presents a mathematical expression related to fluctuations, seeking examples where this proportionality does not hold.

Areas of Agreement / Disagreement

Participants express differing views on the mathematical formulation of the limit and its implications. There is no consensus on the correctness of the expressions presented, nor on the conditions under which the thermodynamic limit is applicable.

Contextual Notes

Participants highlight the importance of context in applying the thermodynamic limit, noting that certain physical realities may invalidate the assumptions made in statistical physics.

Who May Find This Useful

This discussion may be of interest to those studying statistical physics, thermodynamics, or related fields, particularly in understanding the implications of the thermodynamic limit and its applications in various physical systems.

Petar Mali
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lim_{N\rightarrow \infty}\frac{V}{N}=\upsilon_0\neq 0

Can you tell me something more about this limit? Maybe some book where can I read more?


Must I write?

lim_{N\rightarrow \infty V\rightarrow \infty}\frac{V}{N}=\upsilon_0\neq 0?

Thanks for your help!
 
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Petar Mali said:
lim_{N\rightarrow \infty}\frac{V}{N}=\upsilon_0\neq 0

Can you tell me something more about this limit? Maybe some book where can I read more?


Must I write?

lim_{N\rightarrow \infty V\rightarrow \infty}\frac{V}{N}=\upsilon_0\neq 0?

Thanks for your help!
The first expression is mathematically incorrect while the other is not useful at all : you're saying that 2 quantities tends to infinite more or less at the same rate.

Where did you see this formula? Can you please explain the context. Thanks.
 
The distance between the particles is much less than the dimensions of the domain. So I think that we suppose that V\rightarrow \infty.
 
I don't think there's much written on this idea. It's used in statistical physics when you want your argument to be independent of having a discrete collection of matter, so integrals can replace clumsy sums and stuff like that. You can only apply it when doing that is a physical reality. For instance, in systems where adding more particles would change the charge distribution, it wouldn't leave your problem unchanged if you added more particles.

For example if you were trying to figure out the probability of a transcription factor binding to a certain place on a genome, it would be okay, in your reasoning, to assume that the number of binding sites was very large and that as the genome got infinitely long so did the number of TF binding sites. However, if these binding sites could maybe attract each other and form bonds, this would obviously change the whole problem. The network of connections made by the binding sites with each other may not scale with adding more sites.
 
Thanks!

If we say \left\langle H \right\rangle \propto N. For example I get that square of mean quadratic fluctuation is

\varphi_{H}=\frac{\theta^2}{\left\langle H \right\rangle^2}\frac{\partial \left\langle H \right\rangle}{\partial \theta} \propto \frac{1}{N}

where \theta=k_BT

So when N\rightarrow \infty, \varphi_{H}\rightarrow 0.

So I can say microcanonical and canonical enseble are equivalent. But can you give me I don't know three examples when \left\langle H \right\rangle \propto N is not correct. Because from this I can say that if and only if \left\langle H \right\rangle \propto N transition from statistical physics to thermodynamics is possible?
 
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