Physics – Condensed Matter – Statistical Mechanics
Scientific paper
1997-10-10
Phys.Rev. E57 (1998) 3784-3796
Physics
Condensed Matter
Statistical Mechanics
18 pages REVTeX, 4 postscript figures included
Scientific paper
10.1103/PhysRevE.57.3784
A typical problem with Monte Carlo simulations in statistical physics is that they do not allow for a direct calculation of the free energy. For systems at criticality, this means that one cannot calculate the central charge in a Monte Carlo simulation. We present a novel finite size scaling technique for two-dimensional systems on a geometry of LxM, and focus on the scaling behavior in M/L. We show that the finite size scaling behavior of the stress tensor, the operator that governs the anisotropy of the system, allows for a determination of the central charge and critical exponents. The expectation value of the stress tensor can be calculated using Monte Carlo simulations. Unexpectedly, it turns out that the stress tensor is remarkably insensitive for critical slowing down, rendering it an easy quantity to simulate. We test the method for the Ising model (with central charge c=1/2), the Ashkin-Teller model (c=1), and the F-model (also c=1).
Bastiaansen Paul J. M.
Knops Hubert J. F.
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