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arXiv 1004.1901cond-mat.stat-mech
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flatIGW --计算格点自回避游动态密度的逆算法

flatIGW - an inverse algorithm to compute the Density of States of lattice Self Avoiding Walks

M. Ponmurugan, V. Sridhar, S. L. Narasimhan, K. P. N. Murthy

摘要:

我们表明,可以使用一个逆算法,称为flatIGW,其步长增长规则的动态调整,要求能量直方图是局部平坦的状态密度(DoS)的格子自回避行走估计。这里,与配置相关联的(吸引)能量被认为与非键合最近邻对(接触)的数量成比例。能量直方图能够显式地指导行走的增长,因为交互式增长行走\cite{IGW}的逐步增长规则根据可用的最近邻站点将进行的接触数对其进行采样。我们已经得到了复杂的Fisher零点对应的DoS,估计正方形晶格行走的各种长度,并定位$θ$温度外推的有限大小的值的实零点到其渐近值,$\sim 1.49$(合理地接近已知值,$\sim 1.50$ \cite{barkema})。

英文摘要:

We show that the Density of States (DoS) for lattice Self Avoiding Walks can be estimated by using an inverse algorithm, called flatIGW, whose step-growth rules are dynamically adjusted by requiring the energy histogram to be locally flat. Here, the (attractive) energy associated with a configuration is taken to be proportional to the number of non-bonded nearest neighbor pairs (contacts). The energy histogram is able to explicitly direct the growth of a walk because the step-growth rule of the Interacting Growth Walk \cite{IGW} samples the available nearest neighbor sites according to the number of contacts they would make. We have obtained the complex Fisher zeros corresponding to the DoS, estimated for square lattice walks of various lengths, and located the $θ$ temperature by extrapolating the finite size values of the real zeros to their asymptotic value, $\sim 1.49$ (reasonably close to the known value, $\sim 1.50$ \cite{barkema}).

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