Local convergence and stability of tight bridge-addable graph classes
Abstract
A class of graphs is bridge-addable if given a graph G in the class, any graph obtained by adding an edge between two connected components of G is also in the class. The authors recently proved a conjecture of McDiarmid, Steger, and Welsh stating that if G is bridge-addable and Gn is a uniform n-vertex graph from G, then Gn is connected with probability at least (1+on(1))e-1/2. The constant e-1/2 is best possible since it is reached for the class of all forests. In this paper we prove a form of uniqueness in this statement: if G is a bridge-addable class and the random graph Gn is connected with probability close to e-1/2, then Gn is asymptotically close to a uniform n-vertex random forest in some local sense. For example, if the probability converges to e-1/2, then Gn converges in the sense of Benjamini-Schramm to the uniform infinite random forest F∞. This result is reminiscent of so-called "stability results" in extremal graph theory, with the difference that here the stable extremum is not a graph but a graph class.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.