Critical random forests
Abstract
Let F(N,m) denote a random forest on a set of N vertices, chosen uniformly from all forests with m edges. Let F(N,p) denote the forest obtained by conditioning the Erdos-Renyi graph G(N,p) to be acyclic. We describe scaling limits for the largest components of F(N,p) and F(N,m), in the critical window p=N-1+O(N-4/3) or m=N/2+O(N2/3). Aldous described a scaling limit for the largest components of G(N,p) within the critical window in terms of the excursion lengths of a reflected Brownian motion with time-dependent drift. Our scaling limit for critical random forests is of a similar nature, but now based on a reflected diffusion whose drift depends on space as well as on time.
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.