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arXiv 1003.2909cond-mat.stat-mech
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基于离散Schramm-Loewner演化的自回避路径精确采样

Exact sampling of self-avoiding paths via discrete Schramm-Loewner evolution

Marco Gherardi

摘要:

我们提出了一种算法,基于保角映射的迭代,产生独立的样本的自避免路径在平面上。这是一个离散的过程,近似径向Schramm-Loewner演化增长到无穷大。我们专注于再生的参数化对应的晶格模型,即自我避免行走的晶格上的问题,我们提出了一种策略,产生离散的路径,连续的点位于一个近似恒定的距离彼此分开。这种新的方法使我们能够解决两个非平凡的功能,自我避免行走,严重依赖于参数化:非球面的一部分链和校正标度指数。

英文摘要:

We present an algorithm, based on the iteration of conformal maps, that produces independent samples of self-avoiding paths in the plane. It is a discrete process approximating radial Schramm-Loewner evolution growing to infinity. We focus on the problem of reproducing the parametrization corresponding to that of lattice models, namely self-avoiding walks on the lattice, and we propose a strategy that gives rise to discrete paths where consecutive points lie an approximately constant distance apart from each other. This new method allows us to tackle two non-trivial features of self-avoiding walks that critically depend on the parametrization: the asphericity of a portion of chain and the correction-to-scaling exponent.

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