PreprintCC BY 4.0HAL
High-dimensional critical percolation and critical Branching random walks are intersection equivalent
Abstract
We prove that on Z^d , with d> 6, and under the usual assumption that the two-point function and the Green's function are of the same order, the probabilities to hit any finite set for a critical Branching random walk starting from the origin and the critical percolation cluster of the origin are within a positive multiplicative constant one from each other, as long as the set is sufficiently far away from the origin comparatively to its diameter. The proof relies on the introduction of a truncated equilibrium measure in percolation and the derivation of an approximate last passage formula.
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BibTeX
@misc{schapira2026highdimensional,
title = {{High-dimensional critical percolation and critical Branching random walks are intersection equivalent}},
author = {Bruno Schapira},
howpublished = {HAL},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.37133},
eprint = {2610.37133},
archivePrefix = {arXiv},
url = {https://hal.science/hal-05838269v1},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - High-dimensional critical percolation and critical Branching random walks are intersection equivalent
AU - Bruno Schapira
PY - 2026
DA - 2026/10/25
PB - HAL
DO - 10.48550/arxiv.2610.37133
UR - https://hal.science/hal-05838269v1
AB - We prove that on Z^d , with d> 6, and under the usual assumption that the two-point function and the Green's function are of the same order, the probabilities to hit any finite set for a critical Branching random walk starting from the origin and the critical percolation cluster of the origin are within a positive multiplicative constant one from each other, as long as the set is sufficiently far away from the origin comparatively to its diameter. The proof relies on the introduction of a truncated equilibrium measure in percolation and the derivation of an approximate last passage formula.
ER -