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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(omega)), where q greater than or equal to 1 is a constant, and t(omega) is the number of triangles in the random subgraph omega. 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 < 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 Haggstrom and Jonasson. [References: 9]
机译:图G上的随机三角模型是通常的i.i.d.测度受因子q(t(ω))扰动,其中q大于或等于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p(c)(q),使得对于p ( c)(q),对于p> p(c)(q)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Haggstrom和Jonasson的猜想。 [参考:9]

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