English

The Total Acquisition Number of Random Graphs

Combinatorics 2015-06-12 v2

Abstract

Let GG be a graph in which each vertex initially has weight 1. In each step, the weight from a vertex uu can be moved to a neighbouring vertex vv, provided that the weight on vv is at least as large as the weight on uu. The total acquisition number of GG, denoted by at(G)a_t(G), is the minimum possible size of the set of vertices with positive weight at the end of the process. LeSaulnier, Prince, Wenger, West, and Worah asked for the minimum value of p=p(n)p=p(n) such that at(G(n,p))=1a_t(\mathcal{G}(n,p)) = 1 with high probability, where G(n,p)\mathcal{G}(n,p) is a binomial random graph. We show that p=log2nn1.4427 lognnp = \frac{\log_2 n}{n} \approx 1.4427 \ \frac{\log n}{n} is a sharp threshold for this property. We also show that almost all trees TT satisfy at(T)=Θ(n)a_t(T) = \Theta(n), confirming a conjecture of West.

Keywords

Cite

@article{arxiv.1402.2854,
  title  = {The Total Acquisition Number of Random Graphs},
  author = {Deepak Bal and Patrick Bennett and Andrzej Dudek and Paweł Prałat},
  journal= {arXiv preprint arXiv:1402.2854},
  year   = {2015}
}

Comments

18 pages, 1 figure

R2 v1 2026-06-22T03:06:48.462Z