The Two-Particle Density function

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  • #1
MalleusScientiarum

Main Question or Discussion Point

I have a question regarding the two-particle density function, in particular its Fourier transform. I know that in a liquid or gas the function [tex]n_2(\mathbf{R}_1, \mathbf{R}_2)[/tex] is the probability that two particles will be found at [tex]\mathbf{R}_1[/tex] and [tex]\mathbf{R}_2[/tex]. But what is the significance of its Fourier transform,
[tex]G(\mathbf{k}) = \frac{1}{2} \int d^{3N}\mathbf{R}_1 d^{3N}\mathbf{R}_2 e^{\imath \mathbf{k}\cdot(\mathbf{R}_1 - \mathbf{R}_2)} n_2(\mathbf{R}_1, \mathbf{R}_2) [/tex]

My guess is that it is some sort of momentum distribution, but that's only a guess.
 

Answers and Replies

  • #2
893
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It seems to me that, in the classical context, where there is no de Broglie relation between position and momentum, this formalism is not expected to yield any significative result concerning what we classically call as linear momentum probability distribution.
I would interpretate this calculation as purely a description in terms of weights of wave vectors of plane waves such that, when accordingly superposed yield the surface you transformed.

Another point: With no uncertanty principle, deltas of Dirac in position representation have no reason to yield plane wave in "momentum space" and therefore, minimum knowledge about momentum.
 
  • #3
alien308
In the general case:
[tex]G(\mathbf{k}_1,\mathbf{k}_2 ) = \int d^{3N}\mathbf{R}_1 d^{3N}\mathbf{R}_2 e^{\imath \cdot(\mathbf{k}_1 \mathbf{R}_1+\mathbf{k}_2 \mathbf{R}_2)} n_2(\mathbf{R}_1, \mathbf{R}_2) [/tex]
 
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  • #4
MalleusScientiarum
Well obviously, but not if the interaction potential is a central force.
 
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