Ordering principle for cluster expansions in the theory of quantum fluids, dense gases, and simple classical liquids
- 1 March 1982
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review A
- Vol. 25 (3) , 1710-1730
- https://doi.org/10.1103/physreva.25.1710
Abstract
A study is made of a series-expansion procedure which gives the leading terms of the -particle distribution function as explicit functionals in the radial distribution function . The development of the series is based on the cluster-expansion formalism applied to the Abe form for expressed as a product of the generalized Kirkwood superposition approximation and a correction factor . An ordering parameter is introduced to determine and in the form of infinite power series in , and the postulate of minimal complexity is employed to eliminate an infinite number of possible classes of solutions in a sequential relation connecting and . Derivation of the series for and many other algebraic manipulations involving a large number of cluster integrals are greatly simplified by the use of a scheme which groups together all cluster terms having, in a certain way, the same source term. In particular, the scheme is useful in demonstrating that the nature of the series structure of is such that its three-point Fourier transform has as a factor the product of the three liquid-structure functions . The results obtained to order for , and agree with those derived earlier in a more straightforward but tedious approach. The result for shows that the convolution approximation , which contains terms, must be supplemented by a correction of in order to be accurate through third order. The -expansion approach is also examined for the cluster expansion of the correlation function in the Bijl-Dingle-Jastrow description of a manyboson system, and then compared with the number-density expansion formula by using the Gaussian model for to evaluate cluster integrals. A testing procedure based on the requirement is developed to study accuracy of the -ordered approximations for . Numerical results obtained to orders , and with the Gaussian model indicate substantial improvements with each increase in the order of truncation in the power series of . A brief discussion is presented concerning the asymptotic behavior of in the context of equilibrium statistical mechanics.
Keywords
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