Barak-Erdos graphs and the infinite-bin model
Abstract
A Barak-Erdos graph is a directed acyclic version of the Erdos-R\'enyi random graph. It is obtained by performing independent bond percolation with parameter p on the complete graph with vertices \1,...,n\, in which the edge between two vertices i<j is directed from i to j. The length of the longest path in this graph grows linearly with the number of vertices, at rate C(p). In this article, we use a coupling between Barak-Erdos graphs and infinite-bin models to provide explicit estimates on C(p). More precisely, we prove that the front of an infinite-bin model grows at linear speed, and that this speed can be obtained as the sum of a series. Using these results, we prove the analyticity of C for p >1/2, and compute its power series expansion. We also obtain the first two terms of the asymptotic expansion of C as p 0, using a coupling with branching random walks.
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.