The largest subgraph without a forbidden induced subgraph

TL;DR

This paper studies the maximum size of subgraphs avoiding a fixed bipartite induced subgraph within graphs that have certain density and randomness properties, providing bounds and applications in extremal graph theory.

Contribution

It introduces a generalized Turán-type problem for hereditary properties in dense and pseudo-random graphs, with new bounds for bipartite forbidden subgraphs and applications to string subgraphs.

Findings

Bounds match for trees and certain bipartite graphs

Answers a question on hereditary properties missing bipartite subgraphs

Determines maximum edges in string subgraphs of pseudo-random graphs

Abstract

We initiate the systematic study of the following Tur\'an-type question. Suppose $\Gamma$ is a graph with $n$ vertices such that the edge density between any pair of subsets of vertices of size at least $t$ is at most $1 - c$, for some $t$ and $c > 0$. What is the largest number of edges in a subgraph $G \subseteq \Gamma$ which does not contain a fixed graph $H$ as an induced subgraph or, more generally, which belongs to a hereditary property $\mathcal{P}$? This provides a common generalization of two recently studied cases, namely $\Gamma$ being a (pseudo-)random graph and a graph without a large complete bipartite subgraph. We focus on the interesting case where $H$ is a bipartite graph. We determine the answer up to a constant factor with respect to $n$ and $t$, for certain bipartite $H$ and for $\Gamma$ either a dense random graph or a Paley graph with a square number of vertices. In particular, our bounds match if $H$ is a tree, or if one part of $H$ has $d$ vertices complete to the other part, all other vertices in that part have degree at most $d$, and the other part has sufficiently many vertices. As applications of the latter result, we answer a question of Alon, Krivelevich, and Samotij on the largest subgraph with a hereditary property which misses a bipartite graph, and determine up to a constant factor the largest number of edges in a string subgraph of $\Gamma$. The proofs are based on a variant of the dependent random choice and a novel approach for finding induced copies by inductively defining probability distributions supported on induced copies of smaller subgraphs.