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五维随机场伊辛模型中维度约化的恢复

Restoration of dimensional reduction in the random-field Ising model at five dimensions.

作者信息

Fytas Nikolaos G, Martín-Mayor Víctor, Picco Marco, Sourlas Nicolas

机构信息

Applied Mathematics Research Centre, Coventry University, Coventry CV1 5FB, United Kingdom.

Departamento de Física Téorica I, Universidad Complutense, 28040 Madrid, Spain.

出版信息

Phys Rev E. 2017 Apr;95(4-1):042117. doi: 10.1103/PhysRevE.95.042117. Epub 2017 Apr 10.

DOI:10.1103/PhysRevE.95.042117
PMID:28505873
Abstract

The random-field Ising model is one of the few disordered systems where the perturbative renormalization group can be carried out to all orders of perturbation theory. This analysis predicts dimensional reduction, i.e., that the critical properties of the random-field Ising model in D dimensions are identical to those of the pure Ising ferromagnet in D-2 dimensions. It is well known that dimensional reduction is not true in three dimensions, thus invalidating the perturbative renormalization group prediction. Here, we report high-precision numerical simulations of the 5D random-field Ising model at zero temperature. We illustrate universality by comparing different probability distributions for the random fields. We compute all the relevant critical exponents (including the critical slowing down exponent for the ground-state finding algorithm), as well as several other renormalization-group invariants. The estimated values of the critical exponents of the 5D random-field Ising model are statistically compatible to those of the pure 3D Ising ferromagnet. These results support the restoration of dimensional reduction at D=5. We thus conclude that the failure of the perturbative renormalization group is a low-dimensional phenomenon. We close our contribution by comparing universal quantities for the random-field problem at dimensions 3≤D<6 to their values in the pure Ising model at D-2 dimensions, and we provide a clear verification of the Rushbrooke equality at all studied dimensions.

摘要

随机场伊辛模型是少数几种无序系统之一,在该系统中微扰重整化群可以应用于微扰理论的所有阶次。这种分析预测了维数约化,即D维随机场伊辛模型的临界性质与D - 2维纯伊辛铁磁体的临界性质相同。众所周知,在三维中维数约化并不成立,因此微扰重整化群的预测是无效的。在此,我们报告了零温下5维随机场伊辛模型的高精度数值模拟。我们通过比较随机场的不同概率分布来说明普遍性。我们计算了所有相关的临界指数(包括基态寻找算法的临界慢化指数),以及其他几个重整化群不变量。5维随机场伊辛模型临界指数的估计值在统计上与纯3维伊辛铁磁体的临界指数兼容。这些结果支持在D = 5时维数约化的恢复。因此我们得出结论,微扰重整化群的失效是一种低维现象。我们通过比较3≤D<6维随机场问题的普适量与D - 2维纯伊辛模型中相应量的值来结束我们的工作,并在所有研究的维度上对拉什布鲁克等式进行了明确验证。

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