Phase transition in loop percolation

We are interested in the clusters formed by a Poisson ensemble of Markovian loops on infinite graphs. This model was introduced and studied in [LeJ12] and [LL12]. It is a model with long range correlations with two parameters $α$ and $κ$. The non-negative parameter $α$ measures the amount of loops, and $κ$ plays the role of killing on vertices penalizing ($κ>0$) or favoring ($κ<0$) appearance of large loops. It was shown in [LL12] that for any fixed $κ$ and large enough $α$, there exists an infinite cluster in the loop percolation on $\mathbb{Z}^d$. In the present article, we show a non-trivial phase transition on the integer lattice $\mathbb{Z}^d$ ($d\geq 3$) for $κ=0$. More precisely, we show that there is no loop percolation for $κ=0$ and $α$ small enough. Interestingly, we observe a critical like behavior on the whole sub-critical domain of $α$, namely, for $κ=0$ and any sub-critical value of $α$, the probability of one-arm event decays at most polynomially. For $d\geq 5$, we prove that there exists a non-trivial threshold for the finiteness of the expected cluster size. For $α$ below this threshold, we calculate, up to a constant factor, the decay of the probability of one-arm event, two point function, and the tail distribution of the cluster size. These rates are comparable with the ones obtained from a single large loop and only depend on the dimension. For $d=3$ or $4$, we give better lower bounds on the decay of the probability of one-arm event, which show importance of small loops for long connections. In addition, we show that the one-arm exponent in dimension $3$ depends on the intensity $α$. [LeJ12] Y. Le Jan, Amas de lacets markoviens, C. R. Math. Acad. Sci. Paris 350 (2012), no.13-14, 643-646. [LL12] Y. Le Jan and S. Lemaire, Markovian loop clusters on graphs, arXiv.org:1211.0300

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