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arxiv: 2103.17013 · v1 · pith:6RY4RLFYnew · submitted 2021-03-31 · 🧮 math.PR · math-ph· math.MP

The critical two-point function for long-range percolation on the hierarchical lattice

classification 🧮 math.PR math-phmath.MP
keywords alphacriticalbetafunctiontwo-pointbehaviourhierarchicallattice
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We prove up-to-constants bounds on the two-point function (i.e., point-to-point connection probabilities) for critical long-range percolation on the $d$-dimensional hierarchical lattice. More precisely, we prove that if we connect each pair of points $x$ and $y$ by an edge with probability $1-\exp(-\beta\|x-y\|^{-d-\alpha})$, where $0<\alpha<d$ is fixed and $\beta\geq 0$ is a parameter, then the critical two-point function satisfies \[ \mathbb{P}_{\beta_c}(x\leftrightarrow y) \asymp \|x-y\|^{-d+\alpha} \] for every pair of distinct points $x$ and $y$. We deduce in particular that the model has mean-field critical behaviour when $\alpha<d/3$ and does not have mean-field critical behaviour when $\alpha>d/3$.

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  1. Percolation on hierarchical lattices

    math.PR 2026-06 unverdicted novelty 5.0

    Proves unique phase transition and critical exponents for percolation on hierarchical lattices, with results on the infinite limit graph, noise sensitivity, and a fixed-point condition for monotone Boolean functions.