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Advances in Applied Probability
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Advances in Applied Probability
Article . 1997 . Peer-reviewed
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The Minimum Vertex Degree of a Graph on Uniform Points in [0, 1] d

The minimum vertex degree of a graph on uniform points in \([0,1]^d\)
Authors: Appel, Martin J. B.; Russo, Ralph P.;

The Minimum Vertex Degree of a Graph on Uniform Points in [0, 1] d

Abstract

This article continues an investigation begun in [2]. A random graph G n ( x ) is constructed on independent random points U 1 , · ··, U n distributed uniformly on [0, 1] d , d ≧ 1, in which two distinct such points are joined by an edge if the l ∞ -distance between them is at most some prescribed value 0 < x < 1. Almost-sure asymptotic results are obtained for the convergence/divergence of the minimum vertex degree of the random graph, as the number n of points becomes large and the edge distance x is allowed to vary with n. The largest nearest neighbor link d n , the smallest x such that G n ( x ) has no vertices of degree zero, is shown to satisfy Series and sequence criteria on edge distances {x n } are provided which guarantee the random graph to be complete, a.s. These criteria imply a.s. limiting behavior of the diameter of the vertex set.

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Keywords

random distribution, Combinatorial probability, largest nearest-neighbor distance, minimum vertex degree, Random graphs (graph-theoretic aspects), Geometric probability and stochastic geometry, maximum vertex degree, random graph

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 1%
Top 10%
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