Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Limit theory for the random on-line nearest-neighbor graph.

Penrose, Mathew D. and Wade, Andrew R. (2008) 'Limit theory for the random on-line nearest-neighbor graph.', Random structures and algorithms., 32 (2). pp. 125-156.

Abstract

In the on-line nearest-neighbor graph (ONG), each point after the first in a sequence of points in ℝd is joined by an edge to its nearest neighbor amongst those points that precede it in the sequence. We study the large-sample asymptotic behavior of the total power-weighted length of the ONG on uniform random points in (0,1)d. In particular, for d = 1 and weight exponent α > 1/2, the limiting distribution of the centered total weight is characterized by a distributional fixed-point equation. As an ancillary result, we give exact expressions for the expectation and variance of the standard nearest-neighbor (directed) graph on uniform random points in the unit interval.

Item Type:Article
Keywords:Nearest-neighbor graph,Spatial network evolution, Weak convergence, Fixed-point equation, Divide-and-conquer.
Full text:Full text not available from this repository.
Publisher Web site:http://dx.doi.org/10.1002/rsa.20185
Date accepted:No date available
Date deposited:No date available
Date of first online publication:March 2008
Date first made open access:No date available

Save or Share this output

Export:
Export
Look up in GoogleScholar