Component behaviour and excess of random bipartite graphs near the critical point

Tuan Anh Do, Joshua Erde, Mihyun Kang, Michael Missethan

Research output: Contribution to journalArticlepeer-review

Abstract

The binomial random bipartite graph G(n, n, p) is the random graph formed by taking two partition classes of size n and including each edge between them independently with probability p. It is known that this model exhibits a similar phase transition as that of the binomial random graph G(n, p) as p passes the critical point of 1n. We study the component structure of this model near to the critical point. We show that, as with G(n, p), for an appropriate range of p there is a unique ‘giant’ component and we determine asymptotically its order and excess. We also give more precise results for the distribution of the number of components of a fixed order in this range of p. These results rely on new bounds for the number of bipartite graphs with a fixed number of vertices and edges, which we also derive.

Original languageEnglish
Article numberP3.7
Number of pages35
JournalElectronic Journal of Combinatorics
Volume30
Issue number3
DOIs
Publication statusPublished - 14 Jul 2023

Keywords

  • random bipartite graph
  • giant component
  • excess

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Applied Mathematics
  • Discrete Mathematics and Combinatorics
  • Geometry and Topology
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'Component behaviour and excess of random bipartite graphs near the critical point'. Together they form a unique fingerprint.

Cite this