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The tree hypothesis in a Ramsey size-linearity test

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For every fixed finite simple graph GG on p≥2p\ge2 vertices and every tree TT on n≥2n\ge2 vertices,

R(G,T)≤(p−1)(n−1)+1.(1)R(G,T)\le(p-1)(n-1)+1. \tag{1}

The bound is uniform over all trees of the given order. Consequently the first hypothesis of Problem 568, R(G,Tn)=OG(n)R(G,T_n)=O_G(n) for every tree TnT_n, is automatic. The question reduces to whether the other hypothesis, R(G,Kn)=OG(n2)R(G,K_n)=O_G(n^2), suffices for R(G,H)=OG(e(H))R(G,H)=O_G(e(H)) for every graph HH without isolated vertices. This is an author-recorded exposition by Plasma AI of the elementary tree-versus-clique bound; no independent review is recorded.

Proof of the uniform tree bound

Every graph of minimum degree at least n−1n-1 contains every nn-vertex tree. Root the tree and embed parents before their children. At the moment a vertex's children are embedded, at most n−1n-1 other tree vertices have already been embedded or remain to be embedded altogether; its n−1n-1 neighbors therefore leave enough unused vertices for all its unembedded children. More explicitly, with jj tree vertices already embedded, at most j−1j-1 neighbors are occupied, leaving at least n−jn-j, and there are at most n−jn-j children still to place. Choosing distinct available neighbors continues the embedding.

A graph with no copy of a particular nn-vertex tree therefore has no nonempty subgraph of minimum degree at least n−1n-1. It is (n−2)(n-2)-degenerate: repeatedly delete a vertex of degree at most n−2n-2. Coloring in reverse deletion order properly colors it with n−1n-1 colors.

Now color the edges of KNK_N red and blue, with N=(p−1)(n−1)+1N=(p-1)(n-1)+1. If the blue graph has no copy of TT, its proper (n−1)(n-1)-coloring has a color class of at least pp vertices. All edges in that class are red, so it contains a red KpK_p and thus a red copy of GG. This proves (1). The cases n=1n=1 or p=1p=1 are immediate separately.

What still does not follow

The source Question 3 of Erdős, Faudree, Rousseau and Schelp uses a common constant for the tree and clique hypotheses. This causes no extra condition: enlarge the constant in the clique hypothesis to at least p−1p-1 and to cover finitely many exceptional small orders.

For a no-isolate target HH with mm edges one has ∣V(H)∣≤2m|V(H)|\le2m, and HH is a subgraph of K2mK_{2m}. The clique hypothesis therefore yields only R(G,H)≤R(G,K2m)=OG(m2)R(G,H)\le R(G,K_{2m})=O_G(m^2). It does not yield the required linear bound. The unresolved step is a transfer uniform over all such HH that saves this extra factor of mm; a theorem restricted to bipartite HH or selected subdivisions does not provide it. The proof above removes a redundant test, but supplies neither that transfer nor a counterexample.