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A Strict Inequality for the Random Triangle Model

机译:随机三角形模型的严格不等式

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The random triangle model on a graph G, is a random graph model where the usual i.i.d. measure is perturbed by a factor q t(ω), where q≥1 is a constant, and t(ω) is the number of triangles in the random subgraph ω. Here we consider the case where G is the usual two-dimensional triangular lattice, for which there exists a percolation threshold p c (q) such that the probability of getting an infinite connected component of retained edges is 0 for p c (q), and 1 for p>p c (q). It has previously been shown that p c (q) is a decreasing function of q. Here we strengthen this by showing that p c (q) is strictly decreasing. This confirms a conjecture by Häggström and Jonasson.
机译:图G上的随机三角形模型是通常的i.i.d.测度受因子q t(ω)扰动,其中q≥1是常数,t(ω)是随机子图ω中的三角形数量。在这里,我们考虑G是通常的二维三角晶格的情况,对于该二维晶格,存在一个渗滤阈值pc (q),使得对于p c,获得保留边的无限连通分量的概率为0 (q),p> pc (q)则为1。先前已证明p c (q)是q的递减函数。在这里,我们通过证明p c (q)严格减小来加强这一点。这证实了哈格斯特伦和乔纳森的猜想。

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