pith. sign in

arxiv: 1306.1197 · v2 · pith:RRWJ2RTKnew · submitted 2013-06-05 · 🧮 math.PR

Sublinear variance in first-passage percolation for general distributions

classification 🧮 math.PR
keywords continuousdistributionsfirst-passagepercolationsublinearvarianceabsolutelyapplies
0
0 comments X
read the original abstract

We prove that the variance of the passage time from the origin to a point x in first-passage percolation on Z^d is sublinear in the distance to x when d \geq 2, obeying the bound Cx/(log x), under minimal assumptions on the edge-weight distribution. The proof applies equally to absolutely continuous, discrete and singular continuous distributions and mixtures thereof, and requires only 2+log moments. The main result extends work of Benjamini-Kalai-Schramm and Benaim-Rossignol.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.