Convergence of Fine-lattice Discretization for Near-critical Fluids
arXiv:cond-mat/0502169
Abstract
In simulating continuum model fluids that undergo phase separation and criticality, significant gains in computational efficiency may be had by confining the particles to the sites of a lattice of sufficiently fine spacing, (relative to the particle size, say ). But a cardinal question, investigated here, then arises, namely: How does the choice of the lattice discretization parameter, , affect the values of interesting parameters, specifically, critical temperature and density, and ? Indeed, for small - the underlying lattice can strongly influence the thermodynamic properties. A heuristic argument, essentially exact in and dimensions, indicates that for models with hard-core potentials, both and should converge to their continuum limits as for when ; but the behavior of the error is highly erratic for . For smoother interaction potentials, the convergence is faster. Exact results for models of van der Waals character confirm this; however, an optimal choice of can improve the rate of convergence by a factor . For models, the convergence of the {\em second virial coefficients} to their continuum limits likewise exhibit erratic behavior which is seen to transfer similarly to and ; but this can be used in various ways to enhance convergence and improve extrapolation to as is illustrated using data for the restricted primitive model electrolyte.
To appear in J. Phys. Chem. in honor of David Chandler