English

An Upper Bound on the Hat Guessing Number of Graphs

Combinatorics 2026-07-08 v1 Discrete Mathematics

Abstract

The hat guessing number HG(G)HG(G) of a graph is defined by the following game: each player is placed on a vertex and assigned a hat with one of kk colors. Each vertex can see only the hat color of the other vertices it is connected to in GG. All vertices guess, simultaneously, the color of their own hat. The hat guessing number HG(G)HG(G) is the largest kk such that the players can guarantee that at least one of them guesses correctly. In this paper, we show a general bound on the hat guessing number of a graph GG as a function of its order nn and its maximum degree Δ\Delta. This is the first nontrivial upper bound on HG(G)HG(G) as a function of Δ\Delta and nn when Δne\Delta \geq \frac{n}{e}. From this result we also obtain that the hat guessing number of the random graph Gn,1/2G_{n,1/2} is at most asymptotically cncn for c0.809c\sim 0.809, and that graphs with maximum degrees of (1ε)n (1-\varepsilon )n for fixed ε>0\varepsilon>0 cannot have HG(G)=(1o(1))nHG(G)=(1-o(1))n.

Keywords

Cite

@article{arxiv.2607.07994,
  title  = {An Upper Bound on the Hat Guessing Number of Graphs},
  author = {Mason Shurman and Scott Albert Sibley},
  journal= {arXiv preprint arXiv:2607.07994},
  year   = {2026}
}