The maximum length of K_r-Bootstrap Percolation
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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.
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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.
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