Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 1998 · 15 citations · 25 references
Natural SciencesComputer SciencePhysicsComputational PhysicsCondensed Matter PhysicsScientific ComputingCritical PhenomenaMonte Carlo MethodsMonte Carlo SimulationPhase TransitionsSimulation MethodsStatistical MechanicsConformal InvarianceCritical ExponentsFinite-size ScalingIsing ModelLattice ModelsMetropolis AlgorithmMetropolis-hastings AlgorithmStress Tensor
We present a finite size scaling technique to calculate the central charge and some critical exponents of two-dimensional critical models with a Monte Carlo simulation. We use systems with dimensions $L\ifmmode\times\else\texttimes\fi{}M,$ and focus on the scaling behavior in $M/L.$ The finite size scaling relation that we use is the universal expression for the stress tensor on the torus. The stress tensor is the operator that governs the anisotropy of the system, and stems for the theory of conformal invariance. We show that a lattice representation of the stress tensor can easily be constructed, such that its expectation value on the torus can be calculated in a Monte Carlo simulation. In doing so, we observe that the stress tensor turns out to be remarkably insensitive to critical slowing down. We show that the typical simulation time scales with the linear system dimension $L$ roughly as ${L}^{4},$ and that this scaling holds for the ordinary Metropolis algorithm as well as for more sophisticated cluster algorithms, such that it is fruitless to invoke the latter. We test the method for the Ising model (with central charge $c=$$\frac{1}{2}$), the Ashkin-Teller model $(c=1),$ and the F model (also $c=1$).
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