On the number of pioneers in high-dimensional critical percolation

We prove that for critical percolation in high dimension the expected number of pioneers on any set containing the origin is of the same order as the probability that a simple random walk starting from the origin exits the set. Our proof works in all dimensions $d>6$, under the usual assumption that the two-point function is of the same order as the Green's function. As an application we obtain a sharp uniform quantitative bound on the probability that the cluster of the origin intersects any given ball.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-26
DOI
https://doi.org/10.48550/arxiv.2610.35553
Primary Topic
Stochastic processes and statistical mechanics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

On the number of pioneers in high-dimensional critical percolation

Bruno Schapira, Amine Asselah
arXiv (Cornell University)
Stochastic processes and statistical mechanics
preprint

On the number of pioneers in high-dimensional critical percolation

Bruno Schapira, Amine Asselah
preprint en

Abstract

We prove that for critical percolation in high dimension the expected number of pioneers on any set containing the origin is of the same order as the probability that a simple random walk starting from the origin exits the set. Our proof works in all dimensions $d>6$, under the usual assumption that the two-point function is of the same order as the Green's function. As an application we obtain a sharp uniform quantitative bound on the probability that the cluster of the origin intersects any given ball.

arXiv (Cornell University)
Stochastic processes and statistical mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
On the number of pioneers in high-dimensional critical percolation — Bruno Schapira, Amine Asselah · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS