Uncovering a graph
Abstract
Uncover the vertices of a given graph, deterministic or random, in random order; we consider both a discrete-time and a continuous-time version. We study the evolution of the number of visible edges, and show convergence after normalization to a Gaussian process. This problem was studied by Hackl, Panholzer, and Wagner for the case when the graph is a random labelled tree; we generalize their result to more general graphs, including both other classes of random and non-random trees, and denser graphs. The results are similar in all cases, but some differences can be seen depending on the size of the average degree and of the variance of the vertex degrees.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.