Convergence of limit shapes for 2D near-critical first-passage percolation
Chang-Long Yao

TL;DR
This paper proves that the rescaled limit shape in 2D near-critical first-passage percolation converges to a Euclidean disk as the percolation parameter approaches criticality, using advanced scaling limit techniques.
Contribution
It establishes the convergence of the rescaled limit shape to a Euclidean disk near criticality, improving previous results and employing modern scaling limit methods.
Findings
Rescaled limit shape converges to a Euclidean disk as p approaches p_c.
Utilizes the scaling limit of near-critical percolation by Garban et al.
Builds on the continuum cluster construction by Camia et al.
Abstract
We consider Bernoulli first-passage percolation on the triangular lattice in which sites have 0 and 1 passage times with probability and , respectively. For each , let be the limit shape in the classical "shape theorem", and let be the correlation length. We show that as , the rescaled limit shape converges to a Euclidean disk. This improves a result of Chayes et al. [J. Stat. Phys. 45 (1986) 933--951]. The proof relies on the scaling limit of near-critical percolation established by Garban et al. [J. Eur. Math. Soc. 20 (2018) 1195--1268], and uses the construction of the collection of continuum clusters in the scaling limit introduced by Camia et al. [Springer Proceedings in Mathematics \& Statistics, 299 (2019) 44--89].
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
