Sampling by Intersections with Random Geodesics
Functional Analysis
2018-09-25 v1 Probability
Abstract
In this paper we compare the different phenomena that occur when intersecting geometric objects with random geodesics on the unit sphere and inside convex bodies. On the high dimensional sphere we see that with probability bounded away from zero, the observed length will deviate from the actual measure by at most a fixed error for any subset, while in convex bodies we can always choose a subset for which the behavior would be close to a zero-one law, as the dimension grows. The result for the sphere is based on an analysis of the Radon transform. Using similar tools we analyze the variance of intersections on the sphere by higher dimensional random subspaces, and on the discrete torus by random arithmetic progressions.
Cite
@article{arxiv.1809.08961,
title = {Sampling by Intersections with Random Geodesics},
author = {Uri Grupel},
journal= {arXiv preprint arXiv:1809.08961},
year = {2018}
}
Comments
16 pages, 5 figures