Gibbs ensemble
Here we have the N-particle distribution function (Ref. 1 Eq. 2.2)
where Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle \Gamma _{(N)}^{(0)}} is a normalized constant with the dimensions of the phase space Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle \left.\Gamma _{(N)}\right.} .
Normalization condition (Ref. 1 Eq. 2.3):
- Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle {\frac {1}{\Gamma _{(N)}^{(0)}}}\int _{\Gamma _{(N)}}{\mathcal {G}}_{(N)}{\rm {d}}{\mathcal {N}}=1}
it is convenient to set (Ref. 1 Eq. 2.4)
where is the volume of the system and Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle {\mathcal {P}}} is the characteristic momentum of the particles (Ref. 1 Eq. 3.26),
- Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle {\mathcal {P}}={\sqrt {2\pi m\Theta }}}
Macroscopic mean values are given by (Ref. 1 Eq. 2.5)
- Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle \langle \psi ({\mathbf {r} },t)\rangle ={\frac {1}{\Gamma _{(N)}^{(0)}}}\int _{\Gamma _{(N)}}\psi ({\mathbf {X} }_{(N)}){\mathcal {G}}_{(N)}({\mathbf {X} }_{(N)},t){\rm {d}}\Gamma _{(N)}}
Ergodic theory[edit]
Ref. 1 Eq. 2.6
Entropy[edit]
Ref. 1 Eq. 2.70
where is the N-particle thermal potential (Ref. 1 Eq. 2.12)
- Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle \Omega _{(N)}({\mathbf {X} }_{(N)},t)=\ln {\mathcal {G}}_{(N)}({\mathbf {X} }_{(N)},t)}
References[edit]
- G. A. Martynov "Fundamental Theory of Liquids. Method of Distribution Functions", Adam Hilger (out of print)