2022
DOI: 10.1002/jgt.22811
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On the extremal function for graph minors

Abstract: , where G H ≻ means that H is a minor of G. We

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Cited by 4 publications
(4 citation statements)
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“…Improving on results of [25,28], Thomason and Wales [36] recently extended the upper bound from (1.1) to general graphs, by showing that for every graph H,…”
Section: Introductionmentioning
confidence: 94%
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“…Improving on results of [25,28], Thomason and Wales [36] recently extended the upper bound from (1.1) to general graphs, by showing that for every graph H,…”
Section: Introductionmentioning
confidence: 94%
“…Let G = G(n, 1 2 ) be the Erdős-Renyi random graph with vertex set [n], where each pair of distinct vertices are adjacent with probability 1 2 . We upper bound the probability that a fixed map µ : V (H) → P( Lemma 9.10 combined with the upper bound of Thomason and Wales [36] implies that for every ε > 0 and every graph d-regular graph G with d log 1+ε v(H), c(H) = Θ ε v(H) log d .…”
Section: General Boundsmentioning
confidence: 99%
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“…implicitly using (in the language of [6]) two subsets P (the projector) to project subsets to logarithmically smaller sets, and a C (the connector) to connect small sets. However, we do not know that H ′ has suitable connectivity, and so instead use the reserved set S to serve these roles.…”
Section: Theorem 42 ([5]mentioning
confidence: 99%