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arXiv 2201.08223math.PRmath-phmath.MP

通过耦合证明 Bernoulli 渗流的锐性

Sharpness of Bernoulli percolation via couplings

Hugo Vanneuville

AI总结:

本文利用受 Russo 启发的随机耦合控制,在一般传递无限图上建立 Bernoulli 渗流连接概率估计,无需微分公式即证明相变锐性,并导出次临界指数衰减与超临界平均场下界。

摘要:

本文考虑局部有限、传递且无限的图(例如超立方晶格 $\mathbb{Z}^d$)上的 Bernoulli 渗流。我们证明如下估计,其中 $θ_n(p)$ 表示存在一条由 $p$-开边构成的从 $0$ 到半径为 $n$ 的球面的路径的概率:[公式]。该结果意味着在次临界相中 $θ_n(p)$ 呈指数衰减。它还给出了超临界相中的平均场下界。因此,我们为 Bernoulli 渗流相变的锐性提供了一种新证明。与此前关于锐性的证明不同,我们不依赖任何微分公式。主要创新是一个受 Russo 1982 年工作启发的随机控制结果。我们还讨论了该结果对高维渗流的一个推论,在该情形下它可被视为近临界锐性估计。

英文摘要:

In this paper, we consider Bernoulli percolation on a locally finite, transitive and infinite graph (e.g. the hypercubic lattice $\mathbb{Z}^d$). We prove the following estimate, where $θ_n(p)$ is the probability that there is a path of $p$-open edges from $0$ to the sphere of radius $n$: \[ \forall p\in [0,1],\forall m,n \ge 1, \quad θ_{2n} (p-2θ_m(p))\le C\frac{θ_n(p)}{2^{n/m}}. \] This result implies that $θ_n(p)$ decays exponentially fast in the subcritical phase. It also implies the mean-field lower bound in the supercritical phase. We thus provide a new proof of the sharpness of the phase transition for Bernoulli percolation. Contrary to the previous proofs of sharpness, we do not rely on any differential formula. The main novelty is a stochastic domination result which is inspired by [Russo, 1982]. We also discuss a consequence of our result for percolation in high dimensions, where it can be seen as a near-critical sharpness estimate.

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