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Exact enumeration of self-avoiding walks on percolation clusters

机译:在渗透集群上确切的自避免行走

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We study the scaling behavior of self-avoiding walks on critically dilute lattices. To this aim, we have developed a new enumeration technique, which is highly efficient for this particular problem. It makes use of the low connectivity and the self-similar nature of the critical percolation cluster. The problem can thus be factorized, and the exponential complexity that usually afflicts exact enumeration can be avoided. This allowed us to enumerate all conformations of walks of 1000 steps for a large random sample of percolation clusters in two dimensions. The scaling exponents could thus be determined with very high precision.
机译:我们研究了批判性稀释格子的自避免行走的扩展行为。为此目的,我们开发了一种新的枚举技术,这对这种特殊问题具有高效。它利用了临界渗透群的低连接和自我相似性质。因此,问题可以是分解的,并且可以避免通常折磨精确枚举的指数复杂性。这允许我们枚举两个维度的大型随机样品的渗透簇的大量样本的所有构象。因此,可以用非常高精度地确定缩放指数。

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