New results for the random nearest neighbor tree
Lyuben Lichev, Dieter Mitsche

TL;DR
This paper investigates the properties of the random nearest neighbor tree on a torus, providing new bounds on degrees, height, diameter, and establishing the local limit and recurrence of an infinite analog.
Contribution
It introduces new concentration inequalities, bounds on degrees, and characterizes the local limit of the random nearest neighbor tree in high dimensions.
Findings
Degree sequence decreases exponentially with k
Maximum degree is logarithmic in size
The height and diameter grow logarithmically with n
Abstract
In this paper, we study the online nearest neighbor random tree in dimension (called -NN tree for short) defined as follows. We fix the torus of dimension and area and equip it with the metric inherited from the Euclidean metric in . Then, embed consecutively vertices in uniformly at random and independently, and let each vertex but the first one connect to its (already embedded) nearest neighbor. Call the resulting graph . We show multiple results concerning the degree sequence of . First, we prove that typically the number of vertices of degree at least in the -NN tree decreases exponentially with and is tightly concentrated by a new Lipschitz-type concentration inequality that may be of independent interest. Second, we obtain that the maximum degree of is of…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Geometry and complex manifolds · Point processes and geometric inequalities
