Using Relative Entropy to Find Optimal Approximations: an Application to Simple Fluids

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dc.creatorTseng, Chih-Yuan
dc.creatorCaticha, Ariel
dc.date2008-08-29
dc.date.accessioned2026-07-07T10:10:32Z
dc.date.available2026-07-07T10:10:32Z
dc.descriptionWe develop a maximum relative entropy formalism to generate optimal approximations to probability distributions. The central results consist in (a) justifying the use of relative entropy as the uniquely natural criterion to select a preferred approximation from within a family of trial parameterized distributions, and (b) to obtain the optimal approximation by marginalizing over parameters using the method of maximum entropy and information geometry. As an illustration we apply our method to simple fluids. The "exact" canonical distribution is approximated by that of a fluid of hard spheres. The proposed method first determines the preferred value of the hard-sphere diameter, and then obtains an optimal hard-sphere approximation by a suitably weighed average over different hard-sphere diameters. This leads to a considerable improvement in accounting for the soft-core nature of the interatomic potential. As a numerical demonstration, the radial distribution function and the equation of state for a Lennard-Jones fluid (argon) are compared with results from molecular dynamics simulations.
dc.description5 figures, accepted for publication in Physica A, 2008
dc.identifierhttps://arxiv.org/abs/0808.4160
dc.identifierhttp://arxiv.org/abs/0808.4160
dc.identifierPhysica A387, 6759 (2008)
dc.identifierdoi:10.1016/j.physa.2008.08.035
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/171626
dc.subjectStatistical Mechanics
dc.subjectInformation Theory
dc.subjectProbability
dc.subjectData Analysis, Statistics and Probability
dc.titleUsing Relative Entropy to Find Optimal Approximations: an Application to Simple Fluids
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