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arxiv: 1907.04559 · v1 · pith:GN2H3V7Znew · submitted 2019-07-10 · 🧮 math.CO

The maximum length of K_r-Bootstrap Percolation

Pith reviewed 2026-05-24 23:57 UTC · model grok-4.3

classification 🧮 math.CO
keywords bootstrap percolationweak saturationK_rBehrend constructionarithmetic progressionsextremal graph theorygraph processes
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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.

This paper disproves the conjecture that the K_r-bootstrap percolation process always stabilizes after o(n²) steps for any fixed r. It constructs initial edge sets that force the process to add Ω(n²) edges before no more can be added, for all r at least 6, and improves the lower bound for r=5. The construction relies on embedding a dense set without 3-term arithmetic progressions into the edges of the complete graph so that the infection rule adds edges gradually. A reader would care because the length of this process measures how slowly a clique-based infection can spread in the densest possible host graph.

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

These are editorial extensions of the paper, not claims the author makes directly.

  • 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.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 1 minor

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)
  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

0 responses · 0 unresolved

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

0 steps flagged

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

0 free parameters · 1 axioms · 0 invented entities

Based solely on the abstract; the paper is a combinatorial construction whose background assumptions are standard graph theory and the known properties of the Behrend set. No free parameters or invented entities are mentioned.

axioms (1)
  • standard math Standard axioms of graph theory and the definition of bootstrap percolation process
    Invoked implicitly when defining the infection rule and the length of the process.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Upper bounds on the running time of bootstrap percolation

    math.CO 2026-04 unverdicted novelty 7.0

    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.

  2. Bootstrap percolation of extension hypergraphs

    math.CO 2026-04 unverdicted novelty 6.0

    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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