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arXiv 1005.4740cond-mat.dis-nn
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二维随机横场伊辛模型的重整化群研究

Renormalization group study of the two-dimensional random transverse-field Ising model

Istvan A. Kovacs, Ferenc Igloi

摘要:

随机横场伊辛模型的无限无序不动点有望控制一大类具有离散对称性序参量的随机量子和随机系统的临界行为。在这里,我们研究的模型上的正方形晶格的强无序重整化群方法,这使得我们可以处理有限的线性大小的样本$L=2048$一个非常有效的数值实现。我们计算了样品相关的伪临界点,并研究了它们的分布,发现它们具有相同的位移和宽度指数:$ν=1.24(2)$。对于不同类型的障碍的无限无序不动点的特征在于由相同的一组临界指数,我们已经得到了改进的估计:$x=0.982(15)$和$ψ=0.48(2)$。我们还研究了临界点附近磁化强度的标度行为以及有序和无序Griffiths相的动力学标度。

英文摘要:

The infinite disorder fixed point of the random transverse-field Ising model is expected to control the critical behavior of a large class of random quantum and stochastic systems having an order parameter with discrete symmetry. Here we study the model on the square lattice with a very efficient numerical implementation of the strong disorder renormalization group method, which makes us possible to treat finite samples of linear size up to $L=2048$. We have calculated sample dependent pseudo-critical points and studied their distribution, which is found to be characterized by the same shift and width exponent: $ν=1.24(2)$. For different types of disorder the infinite disorder fixed point is shown to be characterized by the same set of critical exponents, for which we have obtained improved estimates: $x=0.982(15)$ and $ψ=0.48(2)$. We have also studied the scaling behavior of the magnetization in the vicinity of the critical point as well as dynamical scaling in the ordered and disordered Griffiths phases.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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