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pith:576XC73F

pith:2026:576XC73FFTOSK4EXQXEFQNHCLL
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The critical activation density in graph bootstrap percolation

Brett Kolesnik, Maksim Zhukovskii, Pawe{\l} Pra{\l}at, Rajko Nenadov, Tam\'as Makai, Xavier P\'erez-Gim\'enez

For every graph H the critical H-percolation threshold p_c(n,H) is located in terms of the limiting density ρ(H) of the graphs that activate an edge most efficiently.

arxiv:2605.15066 v1 · 2026-05-14 · math.PR · math.CO

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Claims

C1strongest claim

for every graph H, we locate the critical H-percolation threshold p_c(n,H)

C2weakest assumption

That the critical limiting density ρ(H) of graphs that most efficiently activate a given edge is well-defined and finite for every H, and that the threshold is determined by this quantity.

C3one line summary

For any fixed graph H the critical percolation threshold p_c(n,H) equals the value determined by the minimal activation density ρ(H) of graphs that efficiently activate an edge.

References

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[1] M. Aizenman and J. L. Lebowitz,Metastability effects in bootstrap percolation, J. Phys. A21(1988), no. 19, 3801–3813 1988
[2] N. Alon,An extremal problem for sets with applications to graph theory, J. Combin. Theory Ser. A40(1985), no. 1, 82–89 1985
[3] N. Alon and J. H. Spencer,The probabilistic method, fourth ed., Wiley Series in Discrete Mathematics and Optimization, John Wiley & Sons, Inc., Hoboken, NJ, 2016 2016
[4] O. Angel and B. Kolesnik,Sharp thresholds for contagious sets in random graphs, Ann. Appl. Probab.28(2018), no. 2, 1052–1098 2018
[5] ,Large deviations for subcritical bootstrap percolation on the Erd˝ os–Rényi graph, J. Stat. Phys.185(2021), no. 2, Paper No. 8, 16 2021
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First computed 2026-05-17T23:38:54.229160Z
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effd717f652cdd25709785c85834e25ad6da6f7d926ee6c1cf4cc2ab25bea2d4

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arxiv: 2605.15066 · arxiv_version: 2605.15066v1 · doi: 10.48550/arxiv.2605.15066 · pith_short_12: 576XC73FFTOS · pith_short_16: 576XC73FFTOSK4EX · pith_short_8: 576XC73F
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/576XC73FFTOSK4EXQXEFQNHCLL \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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    "submitted_at": "2026-05-14T16:56:35Z",
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