Online Ramsey Numbers and the Subgraph Query Problem

TL;DR

This paper investigates the online Ramsey game, providing exponential lower bounds for the online Ramsey numbers and analyzing the subgraph query problem in random graphs, with specific results for small complete graphs.

Contribution

It introduces improved exponential lower bounds for the diagonal and off-diagonal online Ramsey numbers and analyzes the subgraph query problem in Erdős–Rényi graphs for small complete graphs.

Findings

Exponential lower bounds for online Ramsey numbers in the diagonal case.

Determination of the order of queries needed for small complete graphs in the subgraph query problem.

Polylogarithmic approximation for the online Ramsey number or m=3 and large n.

Abstract

The $(m,n)$-online Ramsey game is a combinatorial game between two players, Builder and Painter. Starting from an infinite set of isolated vertices, Builder draws an edge on each turn and Painter immediately paints it red or blue. Builder's goal is to force Painter to create either a red $K_m$ or a blue $K_n$ using as few turns as possible. The online Ramsey number $\tilde{r}(m,n)$ is the minimum number of edges Builder needs to guarantee a win in the $(m,n)$-online Ramsey game. By analyzing the special case where Painter plays randomly, we obtain an exponential improvement \[ \tilde{r}(n,n) \ge 2^{(2-\sqrt{2})n + O(1)} \] for the lower bound on the diagonal online Ramsey number, as well as a corresponding improvement \[ \tilde{r}(m,n) \ge n^{(2-\sqrt{2})m + O(1)} \] for the off-diagonal case, where $m\ge 3$ is fixed and $n\rightarrow\infty$. Using a different randomized Painter strategy, we prove that $\tilde{r}(3,n)=\tilde{\Theta}(n^3)$, determining this function up to a polylogarithmic factor. We also improve the upper bound in the off-diagonal case for $m \geq 4$. In connection with the online Ramsey game with a random Painter, we study the problem of finding a copy of a target graph $H$ in a sufficiently large unknown Erd\H{o}s--R\'{e}nyi random graph $G(N,p)$ using as few queries as possible, where each query reveals whether or not a particular pair of vertices are adjacent. We call this problem the Subgraph Query Problem. We determine the order of the number of queries needed for complete graphs up to five vertices and prove general bounds for this problem.