311 research outputs found

    The Magnetization of the 3D Ising Model

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    We present highly accurate Monte Carlo results for simple cubic Ising lattices containing up to 2563256^3 spins. These results were obtained by means of the Cluster Processor, a newly built special-purpose computer for the Wolff cluster simulation of the 3D Ising model. We find that the magnetization M(t)M(t) is perfectly described by M(t)=(a0a1tθa2t)tβM(t)=(a_0-a_1 t^{\theta} - a_2 t) t^{\beta} , where t=(TcT)/Tct=(T_{\rm c}-T)/T_{\rm c}, in a wide temperature range 0.0005<t<0.260.0005 < t < 0.26 . If there exist corrections to scaling with higher powers of tt, they are very small. The magnetization exponent is determined as β=0.3269\beta=0.3269 (6). An analysis of the magnetization distribution near criticality yields a new determination of the critical point: Kc=J/kBTc=0.2216544K_{\rm c}=J/k_B T_{\rm c}=0.2216544, with a standard deviation of 31073\cdot 10^{-7}.Comment: 7 pages, 5 Postscript figure

    The Cluster Processor: New Results

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    We present a progress report on the Cluster Processor, a special-purpose computer system for the Wolff simulation of the three-dimensional Ising model, including an analysis of simulation results obtained thus far. These results allow, within narrow error margins, a determination of the parameters describing the phase transition of the simple-cubic Ising model and its universality class. For an improved determination of the correction-to-scaling exponent, we include Monte Carlo data for systems with nearest-neighbor and third-neighbor interactions in the analysis.Comment: 14 pages, latex2

    Exact characterization of O(n) tricriticality in two dimensions

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    We propose exact expressions for the conformal anomaly and for three critical exponents of the tricritical O(n) loop model as a function of n in the range 2n3/2-2 \leq n \leq 3/2. These findings are based on an analogy with known relations between Potts and O(n) models, and on an exact solution of a 'tri-tricritical' Potts model described in the literature. We verify the exact expressions for the tricritical O(n) model by means of a finite-size scaling analysis based on numerical transfer-matrix calculations.Comment: submitted to Phys. Rev. Let

    Geometric properties of two-dimensional O(n) loop configurations

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    We study the fractal geometry of O(nn) loop configurations in two dimensions by means of scaling and a Monte Carlo method, and compare the results with predictions based on the Coulomb gas technique. The Monte Carlo algorithm is applicable to models with noninteger nn and uses local updates. Although these updates typically lead to nonlocal modifications of loop connectivities, the number of operations required per update is only of order one. The Monte Carlo algorithm is applied to the O(nn) model for several values of nn, including noninteger ones. We thus determine scaling exponents that describe the fractal nature of O(nn) loops at criticality. The results of the numerical analysis agree with the theoretical predictions.Comment: 18 pages, 6 figure

    Monte Carlo Renormalization of the 3-D Ising model: Analyticity and Convergence

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    We review the assumptions on which the Monte Carlo renormalization technique is based, in particular the analyticity of the block spin transformations. On this basis, we select an optimized Kadanoff blocking rule in combination with the simulation of a d=3 Ising model with reduced corrections to scaling. This is achieved by including interactions with second and third neighbors. As a consequence of the improved analyticity properties, this Monte Carlo renormalization method yields a fast convergence and a high accuracy. The results for the critical exponents are y_H=2.481(1) and y_T=1.585(3).Comment: RevTeX, 4 PostScript file

    Finite-size scaling and conformal anomaly of the Ising model in curved space

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    We study the finite-size scaling of the free energy of the Ising model on lattices with the topology of the tetrahedron and the octahedron. Our construction allows to perform changes in the length scale of the model without altering the distribution of the curvature in the space. We show that the subleading contribution to the free energy follows a logarithmic dependence, in agreement with the conformal field theory prediction. The conformal anomaly is given by the sum of the contributions computed at each of the conical singularities of the space, except when perfect order of the spins is precluded by frustration in the model.Comment: 4 pages, 4 Postscript figure

    Extended surface disorder in the quantum Ising chain

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    We consider random extended surface perturbations in the transverse field Ising model decaying as a power of the distance from the surface towards a pure bulk system. The decay may be linked either to the evolution of the couplings or to their probabilities. Using scaling arguments, we develop a relevance-irrelevance criterion for such perturbations. We study the probability distribution of the surface magnetization, its average and typical critical behaviour for marginal and relevant perturbations. According to analytical results, the surface magnetization follows a log-normal distribution and both the average and typical critical behaviours are characterized by power-law singularities with continuously varying exponents in the marginal case and essential singularities in the relevant case. For enhanced average local couplings, the transition becomes first order with a nonvanishing critical surface magnetization. This occurs above a positive threshold value of the perturbation amplitude in the marginal case.Comment: 15 pages, 10 figures, Plain TeX. J. Phys. A (accepted

    Field-induced Ordering in Critical Antiferromagnets

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    Transfer-matrix scaling methods have been used to study critical properties of field-induced phase transitions of two distinct two-dimensional antiferromagnets with discrete-symmetry order parameters: triangular-lattice Ising systems (TIAF) and the square-lattice three-state Potts model (SPAF-3). Our main findings are summarised as follows. For TIAF, we have shown that the critical line leaves the zero-temperature, zero -field fixed point at a finite angle. Our best estimate of the slope at the origin is (dTc/dH)T=H=0=4.74±0.15(dT_c/dH)_{T=H=0} = 4.74 \pm 0.15. For SPAF-3 we provided evidence that the zero-field correlation length diverges as ξ(T0,H=0)exp(a/Tx)\xi(T \to 0, H=0) \simeq \exp (a/T^{x}), with x=1.08±0.13x=1.08 \pm 0.13, through analysis of the critical curve at H0H \neq 0 plus crossover arguments. For SPAF-3 we have also ascertained that the conformal anomaly and decay-of-correlations exponent behave as: (a) H=0: c=1,η=1/3c=1, \eta=1/3; (b) H0:c=1/2,η=1/4H \neq 0: c=1/2, \eta=1/4.Comment: RevTex, 7 pages, 4 eps figures, to be published in Phys. Rev.

    On locations and properties of the multicritical point of Gaussian and +/-J Ising spin glasses

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    We use transfer-matrix and finite-size scaling methods to investigate the location and properties of the multicritical point of two-dimensional Ising spin glasses on square, triangular and honeycomb lattices, with both binary and Gaussian disorder distributions. For square and triangular lattices with binary disorder, the estimated position of the multicritical point is in numerical agreement with recent conjectures regarding its exact location. For the remaining four cases, our results indicate disagreement with the respective versions of the conjecture, though by very small amounts, never exceeding 0.2%. Our results for: (i) the correlation-length exponent ν\nu governing the ferro-paramagnetic transition; (ii) the critical domain-wall energy amplitude η\eta; (iii) the conformal anomaly cc; (iv) the finite-size susceptibility exponent γ/ν\gamma/\nu; and (v) the set of multifractal exponents {ηk}\{\eta_k \} associated to the moments of the probability distribution of spin-spin correlation functions at the multicritical point, are consistent with universality as regards lattice structure and disorder distribution, and in good agreement with existing estimates.Comment: RevTeX 4, 9 pages, 2 .eps figure

    The Dynamic Exponent of the Two-Dimensional Ising Model and Monte Carlo Computation of the Sub-Dominant Eigenvalue of the Stochastic Matrix

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    We introduce a novel variance-reducing Monte Carlo algorithm for accurate determination of autocorrelation times. We apply this method to two-dimensional Ising systems with sizes up to 15×1515 \times 15, using single-spin flip dynamics, random site selection and transition probabilities according to the heat-bath method. From a finite-size scaling analysis of these autocorrelation times, the dynamical critical exponent zz is determined as z=2.1665z=2.1665 (12)
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