Probabilistic intuition holds for a class of small subgraph games

preprint2022arXivOpen access

Abstract

Consider the following two-player game on the edges of KnK_n, the complete graph with nn vertices: Starting with an empty graph GG on the vertex set of KnK_n, in each round the first player chooses b∈Nb \in \mathbb{N} edges from KnK_n which have not previously been chosen, and the second player immediately and irrevocably picks one of these edges and adds it to GG. We show that for any graph HH with at least one edge, if b<cn1/m(H)b < c n^{1/m(H)}, where c=c(H)>0c = c(H) > 0 only depends on HH and m(H)m(H) is the usual density function, then the first player can ensure the resulting graph GG contains Ω(nv(H)/be(H))Ω(n^{v(H)} / b^{e(H)}) copies of HH. The bound on bb is the best possible apart from the constant cc and shows that the density of the resulting graph for which it is possible to enforce the appearance of HH coincides with a threshold for the appearance in the Erdős-Rényi random graph. This resolves a conjecture by Bednarska-Bzdȩga, Hefetz, and Luczak and provides a prominent class of games for which probabilistic intuition accurately predicts the outcome. The strategy of the first player is deterministic with polynomial running time, with the degree depending on the size of HH.

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