The Mean Distance to the n-th Neighbour in a Uniform Distribution of Random Points: An Application of Probability Theory

dc.creatorBhattacharyya, Pratip
dc.creatorChakrabarti, Bikas K.
dc.date2002-12-17
dc.date2003-09-17
dc.date.accessioned2026-07-07T04:53:51Z
dc.date.available2026-07-07T04:53:51Z
dc.descriptionWe study different ways of determining the mean distance $ < r_n >$ between a reference point and its $n$-th neighbour among random points distributed with uniform density in a $D$-dimensional Euclidean space. First we present a heuristic method; though this method provides only a crude mathematical result, it shows a simple way of estimating $ < r_n >$. Next we describe two alternative means of deriving the exact expression of $<r_n>$: we review the method using absolute probability and develop an alternative method using conditional probability. Finally we obtain an approximation to $ < r_n >$ from the mean volume between the reference point and its $n$-th neighbour and compare it with the heuristic and exact results.
dc.description6 pages (REVTex4), minor changes in content, typing errors corrected, references added
dc.identifierhttps://arxiv.org/abs/math/0212230
dc.identifierhttp://arxiv.org/abs/math/0212230
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/66014
dc.subjectProbability
dc.subjectData Analysis, Statistics and Probability
dc.titleThe Mean Distance to the n-th Neighbour in a Uniform Distribution of Random Points: An Application of Probability Theory
dc.typetext

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