Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-sh8wx Total loading time: 0 Render date: 2024-07-18T13:33:58.911Z Has data issue: false hasContentIssue false

CHAPTER 3 - Numerical solution of the integral equations

Published online by Cambridge University Press:  06 August 2010

Get access

Summary

Introduction

Numerical evaluation and comparison of the various integrodifferential equations developed in chapter 2 may be conveniently divided into three sections. First the low density solutions will be discussed. In this case comparison is not made in terms of the form of the pair distribution function but rather by evaluating the equation of state, based on the pressure and compressibility relations, and comparing the virial coefficients so determined with the exact results of chapter I. Of course, if the theory were self-consistent the equation of state and virial coefficients would be independent of the method of approach-the pressure and compressibility equations would yield the same results. Some effort has gone into forcing self-consistency by choosing a form for c(r) which ensures identical results regardless of the approach (the self-consistent approximation: SCA). This device of enforcing thermodynamic consistency cannot be regarded as an advance of physical understanding; nevertheless, the results are excellent at least to the sixth virial coefficient for hard spheres.

At liquid densities direct comparison of the radial distribution function may be made. It will be seen that all the theories discussed in the previous chapter agree in the qualitative form of the pair distribution, but the quantitative discrepancy is large. Again, appeal to the equation of state is made. The extreme sensitivity of the pressure equation to the precise form of g(2)(r) (and, indeed, to the assumed form of the pair potential) provides a severe test of the theory. It is computationally convenient to work in terms of an idealized potential such as the hard sphere or square-well interactions- these models have the important advantage that the resulting equation of state may be compared directly with machine simulations.

Type
Chapter
Information
Liquid State Physics
A Statistical Mechanical Introduction
, pp. 97 - 139
Publisher: Cambridge University Press
Print publication year: 1974

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×