Small-Size Relative (p,Epsilon)-Approximations for Well-Behaved Range Spaces

TL;DR

This paper introduces improved bounds for small-size relative (p,Epsilon)-approximations in well-behaved range spaces, with efficient construction methods and applications to geometric scenarios, enhancing previous theoretical limits.

Contribution

It provides tighter bounds and construction algorithms for relative (p,Epsilon)-approximations in well-behaved range spaces, extending the understanding of p-nets and geometric applications.

Findings

Improved upper bounds for relative (p,Epsilon)-approximations in well-behaved range spaces.

Construction of small size approximations in expected polynomial time.

Application of bounds to geometric scenarios like points with axis-parallel boxes and fat triangles.

Abstract

We present improved upper bounds for the size of relative (p,Epsilon)-approximation for range spaces with the following property: For any (finite) range space projected onto (that is, restricted to) a ground set of size n and for any parameter 1 <= k <= n, the number of ranges of size at most k is only nearly-linear in n and polynomial in k. Such range spaces are called "well behaved". Our bound is an improvement over the bound O(\log{(1/p)/\eps^2 p) introduced by Li etal. for the general case (where this bound has been shown to be tight in the worst case), when p << Epsilon. We also show that such small size relative (p,Epsilon)-approximations can be constructed in expected polynomial time. Our bound also has an interesting interpretation in the context of "p-nets": As observed by Har-Peled and Sharir, p-nets are special cases of relative (p,Epsilon)-approximations. Specifically, when Epsilon is a constant smaller than 1, their analysis implies that there are p-nets of size O(\log{(1/p)}/p) that are \emph{also} relative approximations. In this context our construction significantly improves this bound for well-behaved range spaces. Despite the progress in the theory of p-nets and the existence of improved bounds corresponding to the cases that we study, these bounds do not necessarily guarantee a bounded relative error. Lastly, we present several geometric scenarios of well-behaved range spaces, and show the resulting bound for each of these cases obtained as a consequence of our analysis. In particular, when Epsilon is a constant smaller than 1, our bound for points and axis-parallel boxes in two and three dimensions, as well as points and "fat" triangles in the plane, matches the optimal bound for p-nets.