# Hat chromatic number of graphs

## TL;DR

This paper investigates the hat chromatic number of graphs, determining its value for various classes, establishing bounds, and exploring variants of the game to deepen understanding of strategic color guessing.

## Contribution

It introduces the concept of the hat chromatic number, computes it for several graph classes, and explores variants to connect it with classical graph coloring parameters.

## Key findings

- Computed $(G)$ for multiple graph classes
- Established bounds relating $(G)$ to chromatic and coloring numbers
- Explored game variants to derive new insights

## Abstract

We study the hat chromatic number of a graph defined in the following way: there is one player at each vertex of a loopless graph $G$, an adversary places a hat of one of $K$ colors on the head of each player, two players can see each other's hats if and only if they are at adjacent vertices. All players simultaneously try to guess the color of their hat. The players cannot communicate but collectively determine a strategy before the hats are placed. The hat chromatic number, $\mu(G)$, is the largest number $K$ of colors such that the players are able to fix a strategy that will ensure that for every possible placement of hats at least one of the guesses correctly. We compute $\mu(G)$ for several classes of graphs, for others we establish some bounds. We establish connections between the hat chromatic number, the chromatic number and the coloring number. We also introduce several variants of the game: with multiple guesses, restrictions on allowed strategies or restrictions on colorings. We show examples how the modified games can be used to obtain interesting results for the original game.