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

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The discussion centers around the limit expression lim_{N\rightarrow \infty}\frac{V}{N}=\upsilon_0\neq 0, which raises questions about its mathematical validity and context. It is noted that the first expression is incorrect, while the second lacks utility, as it suggests two quantities approach infinity at the same rate. The concept is relevant in statistical physics, particularly when transitioning from discrete to continuous models, where volume V is assumed to approach infinity. Examples are provided to illustrate situations where the assumption \left\langle H \right\rangle \propto N may not hold, indicating the complexities in applying statistical principles to thermodynamic transitions. The discussion emphasizes the importance of context and physical realities in these mathematical formulations.
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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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