Question about the Boltzmann distribution

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Discussion Overview

The discussion revolves around the application of the Boltzmann distribution in calculating charge density in electrolyte solutions, specifically in the context of the Debye-Hückel theory. Participants explore the formulation of the distribution and its implications for ion number density.

Discussion Character

  • Technical explanation, Debate/contested, Conceptual clarification

Main Points Raised

  • One participant questions the absence of a normalization factor in the Boltzmann distribution equation for charge density, suggesting it should include a term ##1/Z##.
  • Another participant argues that the Boltzmann distribution is not a probability distribution but rather a number density of ions, explaining the relationship between energy differences and the distribution of ions in a potential field.
  • A further contribution clarifies that the mean number of particles in a state is represented by the equation $$n(r) = \frac N Z e^{-\beta z_i e \psi(r)}$$, linking it to the total number of particles in the system.
  • One participant seeks clarification on the meaning of the capital ##Z## in the context of their analysis, indicating a potential misunderstanding or lack of clarity in its application.
  • Another participant identifies ##Z## as the partition function, which is relevant to the discussion of statistical mechanics.
  • A participant expresses uncertainty about the correctness of their reasoning regarding the density distribution derived from the Boltzmann distribution.

Areas of Agreement / Disagreement

Participants express differing views on the necessity of the normalization factor in the Boltzmann distribution and the interpretation of the equations presented. The discussion remains unresolved regarding the implications of these differing interpretations.

Contextual Notes

There are unresolved aspects regarding the definitions and roles of the normalization factor and the partition function in the context of the Boltzmann distribution. The discussion also highlights the dependence on the specific conditions of the system being analyzed.

dRic2
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I was reading about the Debye-Huckle theory for electrolytes solutions (https://en.wikipedia.org/wiki/Debye–Hückel_theory). In all the books, notes, and in the wikipedia age too, there is this statement that troubles me:

"Wikipedia" said:
calculate the charge density by means of a Boltzmann distribution:
$$n(r) = \bar n exp( \frac {-z_i e \psi(r)} {k_B T})$$

Shouldn't I have the "normalization factor" (i.e ##1/Z##) in the above equation?

Thanks Ric
 
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No. It is not a probability distribution but a number density of ions.
Peter Atkins (Physical Chemistry) writes:
The difference in energy of an ion j of charge ##z_je## at a position where the central ion i is giving rise to a potential ##\phi_i## relative to its energy at infinity (where the potential is zero) is ##\Delta E = z_je\phi_i##.
The Boltzmann distribution then gives the proportion of of ions at this location relative to the proportion in the bulk solution (effectively at infinity: $${{\mathcal N}_j\over {\mathcal N}_j^\circ}={ \text {
number of }{\sf j}\text{ ions per unit volume where the potential is }\phi_i \over \text {
number of }{\sf j}\text { ions per unit volume where the potential is zero}} \\ \mathstrut \\
=e^{-\Delta E/kT}\ , \ \ {\sf with} \quad \Delta E = z_je\phi_i\ .
$$This means that $$
{\mathcal N}_j/ {\mathcal N}_j^\circ =e^{- z_j e\phi_i/kT}\ . $$
 
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Ahhh. So basically
$$n(r) = \frac N Z e^{-\beta z_i e \psi(r)}$$
is the mean number of particles in the state with energy ##z_i e \psi(r)## (where ##N## is the total number of particles in the system). Also
$$\bar n( \infty) = \frac N Z e^{- \beta z_i e \psi( \infty )} = \frac N Z$$
since ## \psi( \infty ) = 0##. Then:
$$ \frac {n(r)} {\bar n} = e^{-\beta z_i e \psi(r)}$$
The multiplying by ##\frac V V## I get the density distribution. Am I right ?
 
:rolleyes: Remind us what your capital ##Z## is in this context. I don't see it appear in the analysis
 
the partition function
 
Do you think my reasoning is correct ?
 

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