An asymmetric container lemma and the structure of graphs with no induced $4$-cycle
Robert Morris, Wojciech Samotij, David Saxton

TL;DR
This paper refines the hypergraph container method to analyze the structure of graphs with no induced 4-cycle, revealing they are typically partitioned into almost-independent and almost-clique parts, with phase transitions in random models.
Contribution
It introduces an asymmetric container lemma tailored for hereditary properties, enabling the characterization of typical graphs avoiding induced 4-cycles and identifying phase transitions in conditioned random graphs.
Findings
Almost all such graphs have a partition into an almost-independent set and an almost-clique.
The structure result applies for m satisfying n^{4/3} (log n)^4 ≤ m ≪ n^2.
Phase transitions in G(n,p) conditioned on no induced 4-cycle occur at p = n^{-2/3+o(1)} and p = n^{-1/3+o(1)}.
Abstract
The method of hypergraph containers, introduced recently by Balogh, Morris, and Samotij, and independently by Saxton and Thomason, has proved to be an extremely useful tool in the study of various monotone graph properties. In particular, a fairly straightforward application of this technique allows one to locate, for each non-bipartite graph , the threshold at which the distribution of edges in a typical -free graph with a given number of edges undergoes a transition from 'random-like' to 'structured'. On the other hand, for non-monotone hereditary graph properties the standard version of this method does not allow one to establish even the existence of such a threshold. In this paper we introduce a refinement of the container method that takes into account the asymmetry between edges and non-edges in a sparse member of a hereditary graph property. As an application, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics · Limits and Structures in Graph Theory
