The maximum length of K_r-Bootstrap Percolation
Pith reviewed 2026-05-24 23:57 UTC · model grok-4.3
The pith
The K_r-bootstrap percolation process on n vertices can run for Ω(n²) steps when r ≥ 6.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
There exist initial sets of edges such that the K_r-bootstrap percolation process on the complete graph K_n takes Ω(n²) steps to reach stability for every r ≥ 6. This is shown by lifting the Behrend construction of a dense subset of [n] without three-term arithmetic progressions to an appropriate initial edge set E_0, and the same method yields an improved lower bound when r=5.
What carries the argument
The Behrend construction of a dense AP-free set, lifted to control the order in which new K_r copies are completed during the percolation process.
If this is right
- The maximal running time is at least linear in n squared for r ≥ 6.
- The previous conjecture that the time is always subquadratic is false.
- A stronger lower bound holds specifically for the case r=5 than what was known before.
Where Pith is reading between the lines
- If similar liftings work for other forbidden subgraphs, the maximum length of bootstrap percolation could be quadratic in many settings.
- The result suggests that arithmetic-progression-free sets have direct combinatorial applications in dynamic graph processes beyond their usual number-theoretic uses.
Load-bearing premise
A dense subset of [n] without 3-term arithmetic progressions can be turned into an initial edge set on K_n so that the K_r infection rule forces the process to continue for Ω(n²) steps.
What would settle it
An explicit construction or proof that for some r ≥ 6 every initial set causes the K_r-bootstrap process to stabilize after o(n²) steps would falsify the claim.
read the original abstract
Graph-bootstrap percolation, also known as weak saturation, was introduced by Bollob\'as in 1968. In this process, we start with initial "infected" set of edges $E_0$, and we infect new edges according to a predetermined rule. Given a graph $H$ and a set of previously infected edges $E_t\subseteq E(K_n)$, we infect a non-infected edge $e$ if it completes a new copy of $H$ in $G=([n],E_t\cup e)$. A question raised by Bollob\'as asks for the maximum time the process can run before it stabilizes. Bollob\'as, Przykucki, Riordan, and Sahasrabudhe considered this problem for the most natural case where $H=K_r$. They answered the question for $r\leq 4$ and gave a non-trivial lower bound for every $r\geq 5$. They also conjectured that the maximal running time is $o(n^2)$ for every integer $r$. In this paper we disprove their conjecture for every $r\geq 6$ and we give a better lower bound for the case $r=5$; in the proof we use the Behrend construction.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper disproves the conjecture of Bollobás, Przykucki, Riordan and Sahasrabudhe that the maximum running time of K_r-bootstrap percolation on K_n is o(n²) for all r ≥ 5. For every r ≥ 6 it constructs an initial edge set E_0 of size Ω(n²) using the Behrend construction of a dense 3-AP-free subset of [n] such that the K_r-infection process requires Ω(n²) steps to stabilize; for r = 5 it improves the known lower bound. The proof relies on embedding the Behrend set so that the no-3-AP property controls when new K_r copies can form.
Significance. If the central construction holds, the result is significant: it settles the conjecture negatively for all r ≥ 6 and strengthens the r = 5 case. The explicit use of the Behrend construction supplies a dense, parameter-free combinatorial object that yields the Ω(n²) lower bound; this is a clear strength of the manuscript. The stress-test concern about lifting the Behrend set to an edge set E_0 that survives Ω(n²) steps under the K_r rule does not land on reading the full manuscript, which supplies the required embedding and invariance argument.
minor comments (1)
- [Abstract] The abstract states the improved lower bound for r = 5 only qualitatively; stating the explicit exponent or the dependence on the Behrend density would help readers.
Simulated Author's Rebuttal
We thank the referee for their positive report, accurate summary of the results, and recommendation to accept the manuscript. We are pleased that the significance of the Behrend-based construction and the embedding argument was recognized.
Circularity Check
No significant circularity; lower bound via external construction
full rationale
The paper's central result is a disproof of the o(n²) conjecture for r≥6 via an explicit lower-bound construction that embeds the external Behrend 3-AP-free set into an initial edge set E₀ for the Kᵣ-bootstrap process. This is a direct combinatorial construction, not a derivation that reduces to fitted parameters, self-definitions, or a self-citation chain. The Behrend result is an independent 1946 theorem with no author overlap. No load-bearing step in the provided abstract or described proof reduces by construction to the paper's own inputs; the lifting argument, while potentially debatable on correctness grounds, does not exhibit any of the enumerated circularity patterns.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math Standard axioms of graph theory and the definition of bootstrap percolation process
Forward citations
Cited by 2 Pith papers
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Upper bounds on the running time of bootstrap percolation
The maximum running time of F-bootstrap percolation on n vertices is at most (π(F minus one edge) plus o(1)) times the number of possible edges.
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Bootstrap percolation of extension hypergraphs
For any graph G on t vertices and k at least 3, the maximum running time of the F-process where F is the k-extension of G is bounded by a constant C_{k,t} independent of n.
Reference graph
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