Search results for "Potts model"

showing 10 items of 34 documents

Canonical versus microcanonical analysis of first-order phase transitions

1998

Abstract I discuss the relation between canonical and microcanonical analyses of first-order phase transitions. In particular it is shown that the microcanonical Maxwell construction is equivalent to the equal-peak-height criterion often employed in canonical simulations. As a consequence the microcanonical finite-size estimators for the transition point, latent heat and interface tension are identical to standard estimators in the canonical ensemble. Special emphasis is placed on various ways for estimating interface tensions. The theoretical considerations are illustrated with numerical data for the two-dimensional 10-state Potts model.

Canonical ensembleNuclear and High Energy PhysicsPhase transitionMicrocanonical ensembleTransition pointCritical phenomenaMaxwell constructionEstimatorStatistical physicsAtomic and Molecular Physics and OpticsPotts modelMathematicsNuclear Physics B - Proceedings Supplements
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Efficient simulation of the random-cluster model

2013

The simulation of spin models close to critical points of continuous phase transitions is heavily impeded by the occurrence of critical slowing down. A number of cluster algorithms, usually based on the Fortuin-Kasteleyn representation of the Potts model, and suitable generalizations for continuous-spin models have been used to increase simulation efficiency. The first algorithm making use of this representation, suggested by Sweeny in 1983, has not found widespread adoption due to problems in its implementation. However, it has been recently shown that it is indeed more efficient in reducing critical slowing down than the more well-known algorithm due to Swendsen and Wang. Here, we present…

Continuous phase modulationRandom clusterStatistical Mechanics (cond-mat.stat-mech)Critical phenomenaMonte Carlo methodHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesComputational Physics (physics.comp-ph)CombinatoricsHigh Energy Physics - LatticeCluster (physics)Representation (mathematics)Physics - Computational PhysicsAlgorithmCondensed Matter - Statistical MechanicsMathematicsPotts model
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Critical behavior of short range Potts glasses

1993

We study by means of Monte Carlo simulations and the numerical transfer matrix technique the critical behavior of the short rangep=3 state Potts glass model in dimensionsd=2,3,4 with both Gaussian and bimodal (±J) nearest neighbor interactions on hypercubic lattices employing finite size scaling ideas. Ind=2 in addition the degeneracy of the glass ground state is computed as a function of the number of Potts states forp=3, 4, 5 and compared to that of the antiferromagnetic ground state. Our data indicate a transition into a glass phase atT=0 ind=2 with an algebraic singularity, aT=0 transition ind=3 with an essential singularity of the form χ∼exp(const.T−2), and an algebraic singularity atT…

Essential singularityPhysicsSpin glassSingularityGeneral Materials ScienceStatistical physicsCondensed Matter PhysicsGround stateTransfer matrixCritical dimensionCritical exponentElectronic Optical and Magnetic MaterialsPotts modelZeitschrift f�r Physik B Condensed Matter
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INTERFACE TENSION AND CORRELATION LENGTH OF 2D POTTS MODELS: NUMERICAL VERSUS EXACT RESULTS

1994

I briefly review new analytical formulas for the correlation length and interface tension of two-dimensional q-state Potts models and compare them with numerical results from recent Monte Carlo simulation studies.

Exact resultsComputational Theory and MathematicsTension (physics)Interface (Java)Monte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsStatistical physicsMathematical PhysicsComputer Science ApplicationsMathematicsPotts modelInternational Journal of Modern Physics C
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Critical and tricritical singularities of the three-dimensional random-bond Potts model for large $q$

2005

We study the effect of varying strength, $\delta$, of bond randomness on the phase transition of the three-dimensional Potts model for large $q$. The cooperative behavior of the system is determined by large correlated domains in which the spins points into the same direction. These domains have a finite extent in the disordered phase. In the ordered phase there is a percolating cluster of correlated spins. For a sufficiently large disorder $\delta>\delta_t$ this percolating cluster coexists with a percolating cluster of non-correlated spins. Such a co-existence is only possible in more than two dimensions. We argue and check numerically that $\delta_t$ is the tricritical disorder, which se…

Phase transitionCondensed matter physicsSpinsStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter::Disordered Systems and Neural NetworksPhase (matter)Cluster (physics)Gravitational singularityCritical exponentRandomnessCondensed Matter - Statistical MechanicsPotts modelMathematics
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MONTE CARLO METHODS FOR FIRST ORDER PHASE TRANSITIONS: SOME RECENT PROGRESS

1992

This brief review discusses methods to locate and characterize first order phase transitions, paying particular attention to finite size effects. In the first part, the order parameter probability distribution and its fourth-order cumulant is discussed for thermally driven first-order transitions (the 3-state Potts model in d=3 dimensions is treated as an example). First-order transitions are characterized by a minimum of the cumulant, which gets very deep for large enough systems. In the second part, we discuss how to locate first order phase boundaries ending in a critical point in a large parameter space. As an example, the study of the unmixing transition of asymmetric polymer mixtures…

Phase transitionMonte Carlo methodGeneral Physics and AstronomyThermodynamic integrationStatistical and Nonlinear PhysicsParameter spaceCritical point (mathematics)Computer Science ApplicationsComputational Theory and MathematicsWetting transitionStatistical physicsScalingMathematical PhysicsMathematicsPotts modelInternational Journal of Modern Physics C
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Generalized-ensemble simulations and cluster algorithms

2010

The importance-sampling Monte Carlo algorithm appears to be the universally optimal solution to the problem of sampling the state space of statistical mechanical systems according to the relative importance of configurations for the partition function or thermal averages of interest. While this is true in terms of its simplicity and universal applicability, the resulting approach suffers from the presence of temporal correlations of successive samples naturally implied by the Markov chain underlying the importance-sampling simulation. In many situations, these autocorrelations are moderate and can be easily accounted for by an appropriately adapted analysis of simulation data. They turn out…

Phase transitionPartition function (statistical mechanics)Statistical Mechanics (cond-mat.stat-mech)Markov chainComputer scienceErgodicityFOS: Physical sciencesPhysics and Astronomy(all)Cluster (physics)State spaceAlgorithmCondensed Matter - Statistical MechanicsMonte Carlo algorithmPotts modelPhysics Procedia
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Monte Carlo studies of finite-size effects at first-order transitions

1990

Abstract First-order phase transitions are ubiquitous in nature but their presence is often uncertain because of the effects which finite size has on all transitions. In this article we consider a general treatment of size effects on lattice systems with discrete degrees of freedom and which undergo a first-order transition in the thermodynamic limit. We review recent work involving studies of the distribution functions of the magnetization and energy at a first-order transition in a finite sample of size N connected to a bath of size N′. Two cases: N′ = ∞ and N′ = finite are considered. In the former (canonical ensemble) case, the distributions are approximated by a superposition of Gaussi…

PhysicsCanonical ensemblePhase transitionMonte Carlo methodsymbols.namesakeDistribution functionThermodynamic limitsymbolsGeneral Materials ScienceIsing modelStatistical physicsvan der Waals forceInstrumentationPotts modelPhase Transitions
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Monte-Carlo Study of Pure-Phase Cumulants of 2D q-State Potts Models

1997

We performed Monte Carlo simulations of the two-dimensional q-state Potts model with q=10, 15, and 20 to study the energy and magnetization cumulants in the ordered and disordered phase at the first-order transition point $\beta_t$. By using very large systems of size 300 x 300, 120 x 120, and 80 x 80 for q=10, 15, and 20, respectively, our numerical estimates provide practically (up to unavoidable, but very small statistical errors) exact results which can serve as a useful test of recent resummed large-q expansions for the energy cumulants by Bhattacharya `et al.' [J. Phys. I (France) 7 (1997) 81]. Up to the third order cumulant and down to q=10 we obtain very good agreement, and also the…

PhysicsComputer simulationHigh Energy Physics - Lattice (hep-lat)Monte Carlo methodGeneral EngineeringPhase (waves)FOS: Physical sciencesStatistical and Nonlinear PhysicsState (functional analysis)MagnetizationHigh Energy Physics - LatticeTransition pointStatistical physicsCumulantPotts modelJournal de Physique I
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Softening Transitions with Quenched 2D Gravity

1996

We perform extensive Monte Carlo simulations of the 10-state Potts model on quenched two-dimensional $\Phi^3$ gravity graphs to study the effect of quenched connectivity disorder on the phase transition, which is strongly first order on regular lattices. The numerical data provides strong evidence that, due to the quenched randomness, the discontinuous first-order phase transition of the pure model is softened to a continuous transition.

PhysicsNuclear and High Energy PhysicsGravity (chemistry)Phase transitionContinuous transitionHigh Energy Physics::LatticeMonte Carlo methodHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesFirst orderAtomic and Molecular Physics and OpticsHigh Energy Physics - LatticeStatistical physicsSofteningRandomnessPotts model
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