2016
DOI: 10.1088/1742-5468/2016/05/053202
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Local cluster-size statistics in the critical phase of bond percolation on the Cayley tree

Abstract: Abstract. We study bond percolation of the Cayley tree (CT) by focusing on the probability distribution function (PDF) of a local variable, namely, the size of the cluster including a selected vertex. Because the CT does not have a dominant bulk region, which is free from the boundary effect, even in the large-size limit, the phase of the system on it is not well defined. We herein show that local observation is useful to define the phase of such a system in association with the well-defined phase of the syste… Show more

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Cited by 4 publications
(2 citation statements)
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“…Third type is an abrupt singularity, where the order parameter changes discontinuously [22]. Similar discontinuous transition is observed in the numerical simulation of the hyperbolic lattice [23], which has a dual relation to the so-called infinite-order transition known in the Cayley trees [24][25][26][27]. All of these types of singularity are observed in the single system, where the two types of the graph-growth rules are randomly mixed, by tuning the mixing ratio [28].…”
Section: Introductionmentioning
confidence: 73%
See 1 more Smart Citation
“…Third type is an abrupt singularity, where the order parameter changes discontinuously [22]. Similar discontinuous transition is observed in the numerical simulation of the hyperbolic lattice [23], which has a dual relation to the so-called infinite-order transition known in the Cayley trees [24][25][26][27]. All of these types of singularity are observed in the single system, where the two types of the graph-growth rules are randomly mixed, by tuning the mixing ratio [28].…”
Section: Introductionmentioning
confidence: 73%
“…Particularly, lim n→∞ 1 − ψ n = 0 for p > p c2 . Equation (27) gives the relation between ψ n and m. Thus, if we know the relation between ψ n and the RG solution g n , we can understand the relation between the RG behavior and the singularity of the order parameter.…”
Section: Local Fractal Exponentmentioning
confidence: 99%