1148 27 Equilibrium Statistical Mechanics. III. Ensembles
wheref(2)(r 1 ,r 2 ) is the two-bodyreduced coordinate distribution functionf(2)(r 1 ,r 2 )1
ζ∫
exp⎡
⎣−
N∑− 1
j 1∑N
ij+ 1u(rij)
kBT⎤
⎦d^3 r 3 ...d^3 rN (27.6-5)The one-body reduced coordinate distribution function is defined similarly:f(1)(r 1 )1
ζ∫
exp⎡
⎣−
N∑− 1
j 1∑N
ij+ 1u(rij)
kBT⎤
⎦d^3 r 2 d^3 r 3 ...d^3 rN (27.6-6)Mayer showed that the two-body reduced coordinate distribution function can be
expressed as a series of powers and logarithms of the density, with a second type
of cluster integrals as coefficients.^3
The radial distribution function, or pair correlation function,g(r), is defined byg(r 12 )f(2)(1, 2)
f(1)(1)f(1)(2)(27.6-7)
The radial distribution function,g(r), is the probability of finding a second molecule at
a location at a distancerfrom a given molecule divided by the probability of finding
a molecule far from the given molecule. For a system of particles without intermolec-
ular forces, it is equal to unity for all values ofr. For a dense gas or a liquid with
intermolecular forces, it is equal to zero forr0 and goes through one or more max-
ima and minima and approaches unity for large values ofr.^4
The pressure can be expressed in terms of the radial distribution function^5P
NkBT
V[
1 −
N
6 VkBT∫
r(
du
dr)
g(r)d^3 r]
(27.6-8)
Exercise 27.9
Show that Eq. (27.6-8) gives the correct pressure of an ideal gas, for whichu(r)0.The pressure of a nonideal gas can also be described by thevirial equation of state,
which is a power series in the reciprocal of the molar volume,Vm:
PVm
RTB 1 +
B 2
Vm+
B 3
Vm^2+
B 4
Vm^3+ ··· (27.6-9)
where the first virial coefficient,B 1 , is equal to unity. The virial coefficients can be
expressed as sums of cluster integrals of a third type.^6 The second virial coefficient,
B 2 , is given byB 2 −
NAV
2
∞∫
0[e−u(r)/kBT−1]4πr^2 dr (27.6-10)whereris the distance between the particles andNAvis Avogadro’s constant.(^3) J. E. Mayer and M. G. Mayer,op. cit. (note 2).
(^4) The radial distribution function unfortunately has the same name as the probability density for finding
an electron at a specified distance from the nucleus in an atom, defined in Chapter 17.
(^5) P. A. Egelstaff,An Introduction to the Liquid State, Academic Press, New York, 1967, p. 20.
(^6) J. E. Mayer and M. G. Mayer,op. cit. (note 2).