2015/02/28 by Hugo Duminil-Copin, Vincent Tassion · 1 citation
Mathematics · Physics and Astronomy · #Bernoulli's principle #Directed percolation #Exponential function #Ising model #Markov Chains and Monte Carlo Methods #Percolation (cognitive psychology) #Percolation threshold #Phase transition #Stochastic processes and statistical mechanics #Theoretical and Computational Physics #Upper and lower bounds #math-ph #math.MP #math.PR
paper · pdf · doi:10.1007/s00220-015-2480-z
25 pages, 1 figure, correction in Lemma 2.6
crossref issued 2015/11/05 · crossref published 2015/11/05 · crossref published-online 2015/11/05 · openalex publication_date 2015/11/05 · crossref created 2015/11/05 · crossref published-print 2016/04/01 · openalex created_date 2016/06/24 · arxiv created 2018/01/21 · arxiv updated 2018/01/23 · crossref deposited 2019/09/01 · crossref indexed 2026/07/13 · openalex updated_date 2026/08/05
We provide a new proof of the sharpness of the phase transition for Bernoulli percolation and the Ising model. The proof applies to infinite range models on arbitrary locally finite transitive infinite graphs. For Bernoulli percolation, we prove finiteness of the susceptibility in the subcritical regime β<βc, and the mean-field lower bound ℙβ[0\longleftrightarrow∞]≥ (β-βc)/β for β>βc. For finite-range models, we also prove that for any β<βc, the probability of an open path from the origin to distance n decays exponentially fast in n. For the Ising model, we prove finiteness of the susceptibility for β<βc, and the mean-field lower bound ⟨ σ0⟩β+≥ √((β2-βc2)/β2) for β>βc. For finite-range models, we also prove that the two-point correlations functions decay exponentially fast in the distance for β<βc.