On the time constant of high dimensional first passage percolation
Antonio Auffinger, Si Tang

TL;DR
This paper investigates how the time constant in high-dimensional first passage percolation behaves as the dimension grows, revealing a precise asymptotic relation and the shape of the limit set.
Contribution
It establishes the asymptotic behavior of the time constant in high dimensions and characterizes the limit shape for a broad class of passage time distributions.
Findings
The time constant scaled by dimension and log d converges to 1/(2a).
The limit shape is not Euclidean ball, cube, or diamond in high dimensions.
The asymptotic behavior depends only on the distribution's behavior at zero.
Abstract
We study the time constant in first passage percolation on as a function of the dimension. We prove that if the passage times have finite mean, where is a constant that depends only on the behavior of the distribution of the passage times at . For the same class of distributions, we also prove that the limit shape is not an Euclidean ball, nor a -dimensional cube or diamond, provided that is large enough.
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.
Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
