arXiv subjects

Stefan Kappler

Publications and source records attributed to Stefan Kappler.

9 recordsLinked to original sources

arXiv1997

Monte Carlo Study of Pure-Phase Cumulants of 2D q-State Potts Models

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 $β_t$. 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 higher-order estimates are found to be compatible.

hep-lat↗

arXiv1996

Monte Carlo Study of Cluster-Diameter Distribution: A New Observable to Estimate Correlation Lengths

We report numerical simulations of two-dimensional $q$-state Potts models with emphasis on a new quantity for the computation of spatial correlation lengths. This quantity is the cluster-diameter distribution function $G_{diam}(x)$, which measures the distribution of the diameter of stochastically defined cluster. Theoretically it is predicted to fall off exponentially for large diameter $x$, $G_{diam} \propto \exp(-x/ξ)$, where $ξ$ is the correlation length as usually defined through the large-distance behavior of two-point correlation functions. The results of our extensive Monte Carlo study in the disordered phase of the models with $q=10$, 15, and $20$ on large square lattices of size $300 \times 300$, $120 \times 120$, and $80 \times 80$, respectively, clearly confirm the theoretically predicted behavior. Moreover, using this observable we are able to verify an exact formula for the correlation length $ξ_d(β_t)$ in the disordered phase at the first-order transition point $β_t$ with an accuracy of about $1%-2%$ for all considered values of $q$. This is a considerable improvement over estimates derived from the large-distance behavior of standard (projected) two-point correlation functions, which are also discussed for comparison.

hep-lat↗

arXiv1995

Correlation Length From Cluster-Diameter Distribution

We report numerical estimates of correlation lengths in 2D Potts models from the asymptotic decay of the cluster-diameter distribution. Using this observable we are able to verify theoretical predictions for the correlation length in the disordered phase at the transition point for $q=10$, 15, and 20 with an accuracy of about $1%-2%$. This is a considerable improvement over previous measurements using the standard (projected) two-point function.

hep-lat↗

arXiv1995

2D Potts Model Correlation Lengths: Numerical Evidence for $ξ_o = ξ_d$ at $β_t$

We have studied spin-spin correlation functions in the ordered phase of the two-dimensional $q$-state Potts model with $q=10$, 15, and 20 at the first-order transition point $β_t$. Through extensive Monte Carlo simulations we obtain strong numerical evidence that the correlation length in the ordered phase agrees with the exactly known and recently numerically confirmed correlation length in the disordered phase: $ξ_o(β_t) = ξ_d(β_t)$. As a byproduct we find the energy moments in the ordered phase at $β_t$ in very good agreement with a recent large $q$-expansion.

hep-lat↗

arXiv1994

Ordered vs Disordered: Correlation Lengths of 2D Potts Models at β_t

We performed Monte Carlo simulations of two-dimensional $q$-state Potts models with $q=10,15$, and $20$ and measured the spin-spin correlation function at the first-order transition point $β_t$ in the disordered and ordered phase. Our results for the correlation length $ξ_d(β_t)$ in the disordered phase are compatible with an analytic formula. Estimates of the correlation length $ξ_o(β_t)$ in the ordered phase yield strong numerical evidence that $R \equiv ξ_o(β_t)/ξ_d(β_t) = 1$.

hep-lat↗

arXiv1994

Multibondic Cluster Algorithm

Inspired by the multicanonical approach to simulations of first-order phase transitions we propose for $q$-state Potts models a combination of cluster updates with reweighting of the bond configurations in the Fortuin-Kastelein-Swendsen-Wang representation of this model. Numerical tests for the two-dimensional models with $q=7, 10$ and $20$ show that the autocorrelation times of this algorithm grow with the system size $V$ as $τ\propto V^α$, where the exponent takes the optimal random walk value of $α\approx 1$.

hep-lat↗

arXiv1994

Correlation Function at $β_t$ in the Disordered Phase of 2D Potts Models

We use Monte Carlo simulations to measure the spin-spin correlation function in the disordered phase of two-dimensional $q$-state Potts models with $q=10,15$, and $20$ at the first-order transition point $β_t$. To extract the correlation length $ξ_d$ from the exponential decay of the correlation function over several decades with the desired accuracy we make extensively use of cluster-update techniques and improved estimators. Our results for $ξ_d$ are compatible with an analytic formula. As a byproduct we also measure the energy moments in the disordered phase and find very good agreement with a recent large $q$ expansion at $β_t$.

hep-lat↗

arXiv1994

Multibondic Cluster Algorithm for Monte Carlo Simulations of First-Order Phase Transitions

hep-lat↗

arXiv1993

The crossover from first to second-order finite size scaling: A numerical study Christian Borgs

We consider a particular case of the two dimensional Blume-Emery-Griffiths model to study the finite-size scaling for a field driven first-order phase transition with two coexisting phases not related by a symmetry. For low temperatures we verify the asymptotic (large volume) predictions of the rigorous theory of Borgs and Kotecky, including the predictions concerning the so-called equal-weight versus equal-height controversy. Near the critical temperature we show that all data fit onto a unique curve, even when the correlation length xi becomes comparable to or larger then the size of the system, provided the linear dimension L of the system is rescaled by xi.

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