The early evolution of the H-free process

TL;DR

This paper analyzes the early evolution of the H-free process, revealing new bounds on degrees, Turán numbers, and Ramsey numbers for various graphs, using differential equations to understand the process's structure.

Contribution

It provides new probabilistic bounds and structural insights for the H-free process, especially for bipartite and complete graphs, advancing understanding of extremal graph properties.

Findings

Lower bounds for minimum degree in H-free graphs.

New bounds for Turán numbers of bipartite graphs.

Improved estimates for Ramsey numbers R(s,t).

Abstract

The H-free process, for some fixed graph H, is the random graph process defined by starting with an empty graph on n vertices and then adding edges one at a time, chosen uniformly at random subject to the constraint that no H subgraph is formed. Let G be the random maximal H-free graph obtained at the end of the process. When H is strictly 2-balanced, we show that for some c>0, with high probability as $n \to \infty$, the minimum degree in G is at least $cn^{1-(v_H-2)/(e_H-1)}(\log n)^{1/(e_H-1)}$. This gives new lower bounds for the Tur\'an numbers of certain bipartite graphs, such as the complete bipartite graphs $K_{r,r}$ with $r \ge 5$. When H is a complete graph $K_s$ with $s \ge 5$ we show that for some C>0, with high probability the independence number of G is at most $Cn^{2/(s+1)}(\log n)^{1-1/(e_H-1)}$. This gives new lower bounds for Ramsey numbers R(s,t) for fixed $s \ge 5$ and t large. We also obtain new bounds for the independence number of G for other graphs H, including the case when H is a cycle. Our proofs use the differential equations method for random graph processes to analyse the evolution of the process, and give further information about the structure of the graphs obtained, including asymptotic formulae for a broad class of subgraph extension variables.