On H-Intersecting Graph Families and Counting of Homomorphisms

TL;DR

This paper establishes new upper bounds on the size of H-intersecting graph families and explores bounds on graph homomorphisms using combinatorial and information-theoretic methods.

Contribution

It extends previous bounds for triangle-intersecting families to general graphs H, using Shearer's lemma and entropy techniques, and introduces computationally simpler bounds via the Lovász theta function.

Findings

Derived upper bounds for H-intersecting graph families.

Connected bounds on graph homomorphism enumeration.

Extended classical results to general graphs H.

Abstract

This work derives an upper bound on the maximum cardinality of a family of graphs on a fixed number of vertices, in which the intersection of every two graphs in that family contains a subgraph that is isomorphic to a specified graph H. Such families are referred to as H-intersecting graph families. The bound is derived using the combinatorial version of Shearer's lemma, and it forms a nontrivial extension of the bound derived by Chung, Graham, Frankl, and Shearer (1986), where H is specialized to a triangle. The derived bound is expressed in terms of the chromatic number of H, while a relaxed version, formulated using the Lov\'{a}sz $\vartheta$-function of the complement of H, offers reduced computational complexity. Additionally, a probabilistic version of Shearer's lemma, combined with properties of the Shannon entropy, are employed to establish bounds related to the enumeration of graph homomorphisms, providing further insights into the interplay between combinatorial structures and information-theoretic principles.