Higher order corrections for anisotropic bootstrap percolation
Hugo Duminil-Copin, Aernout C. D. van Enter, Tim Hulshof

TL;DR
This paper refines the asymptotic estimates of the critical probability for a specific anisotropic bootstrap percolation model, revealing that higher order terms significantly impact the approximation even for extremely large lattices.
Contribution
The authors derive sharp second and third order asymptotics for the critical probability in anisotropic bootstrap percolation, improving upon previous first order results.
Findings
Second and third order asymptotics explicitly derived
Higher order terms dominate first order approximation for large lattices
First order asymptotics are inadequate even for unimaginably large sizes
Abstract
We study the critical probability for the metastable phase transition of the two-dimensional anisotropic bootstrap percolation model with -neighbourhood and threshold . The first order asymptotics for the critical probability were recently determined by the first and second authors. Here we determine the following sharp second and third order asymptotics: \[ p_c\big( [L]^2,\mathcal{N}_{(1,2)},3 \big) \; = \; \frac{(\log \log L)^2}{12\log L} \, - \, \frac{\log \log L \, \log \log \log L}{ 3\log L} + \frac{\left(\log \frac{9}{2} + 1 \pm o(1) \right)\log \log L}{6\log L}. \] We note that the second and third order terms are so large that the first order asymptotics fail to approximate even for lattices of size well beyond .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
