English

N-sphere chord length distribution

Probability 2014-11-21 v1 Machine Learning

Abstract

This work studies the chord length distribution, in the case where both ends lie on a NN-dimensional hypersphere (N2N \geq 2). Actually, after connecting this distribution to the recently estimated surface of a hyperspherical cap \cite{SLi11}, closed-form expressions of both the probability density function and the cumulative distribution function are straightforwardly extracted, which are followed by a discussion on its basic properties, among which its dependence from the hypersphere dimension. Additionally, the distribution of the dot product of unitary vectors is estimated, a problem that is related to the chord length.

Keywords

Cite

@article{arxiv.1411.5639,
  title  = {N-sphere chord length distribution},
  author = {Panagiotis Sidiropoulos},
  journal= {arXiv preprint arXiv:1411.5639},
  year   = {2014}
}
R2 v1 2026-06-22T07:06:18.533Z