Title
The Total Acquisition Number of Random Graphs
Abstract
Let $G$ be a graph in which each vertex initially has weight 1. In each step, the weight from a vertex $u$ can be moved to a neighbouring vertex $v$, provided that the weight on $v$ is at least as large as the weight on $u$. The total acquisition number of $G$, denoted by $a_t(G)$, 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 $p=p(n)$ such that $a_t(\mathcal{G}(n,p)) = 1$ with high probability, where $\mathcal{G}(n,p)$ is a binomial random graph. We show that $p = \frac{\log_2 n}{n} \approx 1.4427 \ \frac{\log n}{n}$ is a sharp threshold for this property. We also show that almost all trees $T$ satisfy $a_t(T) = \Theta(n)$, confirming a conjecture of West.
Year
Venue
Field
2016
Electronic Journal of Combinatorics
Discrete mathematics,Binary logarithm,Graph,Combinatorics,Random graph,Vertex (geometry),Approx,Binomial,Conjecture,Mathematics
DocType
Volume
Issue
Journal
23
2
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Deepak Bal1357.32
Patrick Bennett251.89
Andrzej Dudek3113.41
Pawel Pralat423448.16