The scaling limit of critical hypercube percolation

We study the connected components in critical percolation on the Hamming hypercube \{0,1\}^{m} . We show that their sizes rescaled by 2^{-2m/3} converge in distribution, and that, considered as metric measure spaces with the graph distance rescaled by 2^{-m/3} and the uniform measure, they converge in distribution with respect to the Gromov–Hausdorff–Prokhorov topology. The two corresponding limits are as in critical Erdős–Rényi graphs.

Authors

Institutions

Publication Details

Journal
Journal of the European Mathematical Society
Published
2026-07-28
DOI
https://doi.org/10.4171/jems/1805
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The scaling limit of critical hypercube percolation

Arthur Blanc-Renaudie, Asaf Nachmias, Nicolas Broutin
1 citations
Journal of the European Mathematical Society
Stochastic processes and statistical mechanics
article

The scaling limit of critical hypercube percolation

Arthur Blanc-Renaudie, Asaf Nachmias, Nicolas Broutin
article en
1 citations

Abstract

We study the connected components in critical percolation on the Hamming hypercube \{0,1\}^{m} . We show that their sizes rescaled by 2^{-2m/3} converge in distribution, and that, considered as metric measure spaces with the graph distance rescaled by 2^{-m/3} and the uniform measure, they converge in distribution with respect to the Gromov–Hausdorff–Prokhorov topology. The two corresponding limits are as in critical Erdős–Rényi graphs.

Journal of the European Mathematical Society
Tel Aviv University (IL), Sorbonne Université (FR), Université de Rouen Normandie (FR)
Israel Science Foundation, Tel Aviv University, Division of Mathematical Sciences
Openalex Percentile: Top 96%
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.