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arXiv 0910.0111cond-mat.dis-nn
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二维自仿射随机势中的随机游动:强无序重整化方法

Random walk in two-dimensional self-affine random potentials : strong disorder renormalization approach

Cecile Monthus, Thomas Garel

摘要:

研究了Hurst指数为$H>0$的二维自仿射猝灭随机势中粒子的连续时间随机游动。利用文献[C]中介绍的强无序重整化方法研究了相应的主方程。Monthus和T. Garel,J. Phys. A:Math. Theor. 41(2008)255002]。我们提出了一个给定的尺寸$L \times L$的无序样品的平衡时间$t_{eq}$的统计数据的数值结果$10 \leq L \leq 80$。我们找到了一个“无限无序不动点”,其中平衡势垒$Γ_{eq} \equiv \ln t_{eq}$缩放为$Γ_{eq}=L^H u $,其中$u$是O(1)阶的随机变量。这对应于颗粒的位置$\vec r(t)$的化学上缓慢的扩散$ | \vec r(t) - \vec r(0) | \sim (\ln t)^{1/H}$。

英文摘要:

We consider the continuous-time random walk of a particle in a two-dimensional self-affine quenched random potential of Hurst exponent $H>0$. The corresponding master equation is studied via the strong disorder renormalization procedure introduced in Ref. [C. Monthus and T. Garel, J. Phys. A: Math. Theor. 41 (2008) 255002]. We present numerical results on the statistics of the equilibrium time $t_{eq}$ over the disordered samples of a given size $L \times L$ for $10 \leq L \leq 80$. We find an 'Infinite disorder fixed point', where the equilibrium barrier $Γ_{eq} \equiv \ln t_{eq}$ scales as $Γ_{eq}=L^H u $ where $u$ is a random variable of order O(1). This corresponds to a logarithmically-slow diffusion $ | \vec r(t) - \vec r(0) | \sim (\ln t)^{1/H}$ for the position $\vec r(t)$ of the particle.

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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