Percus–Yevick approximation

From Wikipedia, the free encyclopedia

In statistical mechanics the Percus–Yevick approximation[1] is a closure relation to solve the Ornstein–Zernike equation. It is also referred to as the Percus–Yevick equation. It is commonly used in fluid theory to obtain e.g. expressions for the radial distribution function.

Derivation

The direct correlation function represents the direct correlation between two particles in a system containing N  2 other particles. It can be represented by

c(r)=g_{{{\rm {total}}}}(r)-g_{{{\rm {indirect}}}}(r)\,

where g_{{{\rm {total}}}}(r) is the radial distribution function, i.e. g(r)=\exp[-\beta w(r)] (with w(r) the potential of mean force) and g_{{{\rm {indirect}}}}(r) is the radial distribution function without the direct interaction between pairs u(r) included; i.e. we write g_{{{\rm {indirect}}}}(r)=\exp ^{{-\beta [w(r)-u(r)]}}. Thus we approximate c(r) by

c(r)=e^{{-\beta w(r)}}-e^{{-\beta [w(r)-u(r)]}}.\,

If we introduce the function y(r)=e^{{\beta u(r)}}g(r) into the approximation for c(r) one obtains

c(r)=g(r)-y(r)=e^{{-\beta u}}y(r)-y(r)=f(r)y(r).\,

This is the essence of the Percus–Yevick approximation for if we substitute this result in the Ornstein–Zernike equation, one obtains the Percus–Yevick equation:

y(r_{{12}})=1+\rho \int f(r_{{13}})y(r_{{13}})h(r_{{23}})d{\mathbf  {r_{{3}}}}.\,

The approximation was defined by Percus and Yevick in 1958. For hard spheres, the equation has an analytical solution.[2]

See also

  • Hypernetted chain equation another closure relation

References

  1. Percus, Jerome K. and Yevick, George J. Analysis of Classical Statistical Mechanics by Means of Collective Coordinates. Phys. Rev. 1958, 110, 1, DOI: 10.1103/PhysRev.110.1
  2. Wertheim, M. S. Exact Solution of the Percus-Yevick Integral Equation for Hard Spheres. Phys. Rev. Lett. 1963, 10, 321-323, DOI: 10.1103/PhysRevLett.10.321

External links

This article is issued from Wikipedia. The text is available under the Creative Commons Attribution/Share Alike; additional terms may apply for the media files.