Calculating the "mean values" in the thermodynamic limit

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Discussion Overview

The discussion revolves around the calculation of mean values in the thermodynamic limit, particularly examining whether the mean of a function of several physical quantities equals the function of the mean values of those quantities. The conversation includes theoretical considerations, examples, and counterexamples, as well as implications for classical and statistical mechanics.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant questions if the mean of a function of many mean values equals the mean value of the function of the values, suggesting that this holds only for linear functions.
  • Another participant provides a counterexample using a non-linear function, indicating that the equality does not generally hold.
  • There is a discussion about the mean free path in thermodynamics, questioning if it can be derived as the product of mean speed and mean collision time.
  • References to a textbook are provided to support the discussion on mean free path calculations.
  • Some participants express uncertainty about the linearity of the relationships involved in these calculations.
  • Concerns are raised about the independence of the mean speed and mean time, with one participant asserting they are not independent.
  • Another participant emphasizes that the derivation of the mean free path is an estimate and that the distribution of values must be considered.
  • There is a broader inquiry into the validity of using mean values in classical statistical mechanics and whether errors can be neglected.
  • One participant asserts that the idea of averaging functions of variables is incorrect, providing an example from the Maxwell-Boltzmann distribution.
  • A final question is posed about the conditions under which the mean value of a function of variables equals the function of the mean values, specifically in the context of positive physical values.

Areas of Agreement / Disagreement

Participants express multiple competing views regarding the relationship between mean values and functions of those values. There is no consensus on whether the mean of a function equals the function of the mean, and the discussion remains unresolved on several key points.

Contextual Notes

Participants note that the derivations discussed are estimates and that the independence of variables is a critical assumption that may not hold in all cases. The implications of these assumptions on the validity of mean value calculations in different contexts are not fully resolved.

Who May Find This Useful

This discussion may be of interest to those studying thermodynamics, statistical mechanics, or anyone exploring the implications of mean value calculations in physical systems.

fxdung
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In thermodynamics limit, does function of many mean values(of some physical quantities) equal mean value of the function of the values?
 
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Only if the function is linear.

Simple counter-example: if ##x \in (-1,0,1) ## then ##<x>=0## and if then ##f(x) = x^2 ## you see that ##<f> \ne f(<x>)##
 
Why in Thermodynamics we calculate the mean free path(of molecules of gas) equal product of mean speed and mean time of collision? It would be wrong?
 
Any reference ? (So we can look at the expressions)
 
It is in Concepts in Thermal Physics of Blundell page 73:
8.3 The mean free path
Having derived the mean collision time, it is tempting to derive the mean free path as
λ=<v><τ>=<v>/nσv (8.15)
 
Don't have the book. But it looks linear ?
However, 'Tempting' begs for a context ...
 
Reality one substitute v=squaroot(2)*<v>(because v is relative speed) but the formula is not changed.Here we have product of two mean value.
 
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Ah, the 'tempting' refers to the need of relative speed, same as in hyperpyhsics link.

And the side note (eq 7.23) doesn't throw a tantrum over an error of some 8%, so not much reason to worry
 
But what I like to ask is why can we write mean lamda=product of mean speed and mean time?
 
  • #10
Because the free path is the distance covered between collisions, and the time between collisions is worked out in 8.1.
Distance = ## v ## times ##t##...

Note that the derivation is an estimate: just like ##v## has a distribution, so will ##\lambda##
 
  • #11
If v and t are independent values then the mean value of the product equals product of the mean values, But why we know that they are independent value(Why probability of product equals product of probabilities of v and t)?
 
  • #12
They are clearly not independent ##t\propto {1\over v}##

Note that the derivation is an estimate: Main takeaway is to show that ##\lambda >> d##
 
  • #13
In Classical Physics we calculate all mean values as calculating the values!Why?
 
  • #14
Maybe because it's good enough ?
 
  • #15
It seems clear for the transition from Quantum Mechanics to Classical Physics(the uncertainty is able to omit in Classical Physics).But how about Classical Statistics Mechanics?Can we omit the error deviating from the mean values?
 
  • #16
That's so general a question I don't feel qualified to answer. @vela ? @vanhees71 ?
 
  • #17
The idea that always ##\langle f(\vec{x},\vec{p}) \rangle=f(\langle \vec{x} \rangle,\langle \vec{p}##, \rangle) is obviously WRONG.

Take an ideal gas in the classical limit. Then the phase-space distribution function is given by the Maxwell-Boltzmann distribution,
$$\frac{\mathrm{d} N}{\mathrm{d}^3 x \mathrm{d}^3 p}=\frac{1}{(2 \pi \hbar)^3} \exp\left (-\frac{\vec{p}^2}{2m k T} \right)=f(\vec{x},\vec{p}).$$
The average momentum is obviously
$$\langle \vec{p} \rangle=\frac{1}{Z} V \int_{\mathbb{R}^3} \mathrm{d}^3 p \vec{p} f(\vec{p})=0$$
but
$$\langle \vec{p}^2 \rangle=2m \langle E \rangle=3m k T \neq \langle \vec{p} \rangle^2.$$
 
  • #18
If all physical values >0, then in thermodynamic limit,the mean value of function of variables is equal the function of mean values of the variables?
 

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