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arXiv 1012.1070cond-mat.stat-mech
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二维凝聚渗流

Agglomerative Percolation in Two Dimensions

Claire Christensen, Golnoosh Bizhani, Seung-Woo Son, Maya Paczuski, Peter Grassberger

摘要:

我们研究了一个称为“凝聚渗流”(AP)在两个维度的过程。在AP中,随机选择的簇与其所有邻居链接,而不是随机添加站点或键。结果,生长过程涉及临界点附近的发散长度尺度。以与其质量成比例的概率挑选目标集群会导致失控的紧凑集群。同样地选择所有簇导致正方形晶格在一个新的普适类中的连续过渡,而三角形晶格上的过渡具有与普通渗流相同的临界指数。

英文摘要:

We study a process termed "agglomerative percolation" (AP) in two dimensions. Instead of adding sites or bonds at random, in AP randomly chosen clusters are linked to all their neighbors. As a result the growth process involves a diverging length scale near a critical point. Picking target clusters with probability proportional to their mass leads to a runaway compact cluster. Choosing all clusters equally leads to a continuous transition in a new universality class for the square lattice, while the transition on the triangular lattice has the same critical exponents as ordinary percolation.

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