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arXiv 1201.6136cond-mat.dis-nn
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固定胞大小实空间重整化中的强无序RG原理:应用于各种分形格上的随机横场伊辛模型

Strong Disorder RG principles within a fixed cell-size real space renormalization : application to the Random Transverse Field Ising model on various fractal lattices

Cecile Monthus, Thomas Garel

摘要:

强无序重正化是一种基于能量的重正化,它在$d>1$之后立即导致幸存的团簇的复杂的重正化拓扑。在本文中,我们建议包括强无序重整化的想法在更传统的固定细胞大小的真实空间RG框架。我们首先考虑的一维链作为一个测试,这个固定的细胞大小的程序:我们发现,所有确切已知的临界指数正确地再现,除了磁指数$β$(因为它是有关更微妙的持久性的完整RG流)。然后,我们将这种固定的单元大小的过程数值地应用于两种类型的可重整分形晶格:(i)分形维数为$D=\ln 3/\ln 2$的Sierpinski垫片,其中没有潜在的经典铁磁转变,使得有序相中的RG流类似于$d=1$中发生的情况;(ii)分形维数为$D=4/3$的分级金刚石晶格,其中存在潜在的经典铁磁转变,从而有序相中的RG流类似于在尺寸为$d>1$的超立方晶格上发生的情况。在这两种情况下,我们发现,过渡是由一个无限无序不动点:除了激活指数$ψ$的措施,我们分析的RG流的各种观测在无序和有序的阶段,以提取这两个阶段的“典型”的相关长度指数,这是不同的有限大小的相关长度指数。

英文摘要:

Strong Disorder Renormalization is an energy-based renormalization that leads to a complicated renormalized topology for the surviving clusters as soon as $d>1$. In this paper, we propose to include Strong Disorder Renormalization ideas within the more traditional fixed cell-size real space RG framework. We first consider the one-dimensional chain as a test for this fixed cell-size procedure: we find that all exactly known critical exponents are reproduced correctly, except for the magnetic exponent $β$ (because it is related to more subtle persistence properties of the full RG flow). We then apply numerically this fixed cell-size procedure to two types of renormalizable fractal lattices (i) the Sierpinski gasket of fractal dimension $D=\ln 3/\ln 2$, where there is no underlying classical ferromagnetic transition, so that the RG flow in the ordered phase is similar to what happens in $d=1$ (ii) a hierarchical diamond lattice of fractal dimension $D=4/3$, where there is an underlying classical ferromagnetic transition, so that the RG flow in the ordered phase is similar to what happens on hypercubic lattices of dimension $d>1$. In both cases, we find that the transition is governed by an Infinite Disorder Fixed Point : besides the measure of the activated exponent $ψ$, we analyze the RG flow of various observables in the disordered and ordered phases, in order to extract the 'typical' correlation length exponents of these two phases which are different from the finite-size correlation length exponent.

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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