Abstract

Let $$T=\{\triangle _1,\ldots ,\triangle _n\}$$ be a set of n triangles in $$\mathbb {R}^3$$ with pairwise-disjoint interiors, and let B be a convex polytope in $$\mathbb {R}^3$$ with a constant number of faces. For each i, let $$C_i = \triangle _i \oplus r_i B$$ denote the Minkowski sum of $$\triangle _i$$ with a copy of B scaled by $$r_i>0$$ . We show that if the scaling factors $$r_1, \ldots , r_n$$ are chosen randomly then the expected complexity of the union of $$C_1, \ldots , C_n$$ is $$O(n^{2+{\varepsilon }})$$ , for any $${\varepsilon }> 0$$ ; the constant of proportionality depends on $${\varepsilon }$$ and on the complexity of B. The worst-case bound can be $$\Theta (n^3)$$ . We also consider a special case of this problem in which T is a set of points in $$\mathbb {R}^3$$ and B is a unit cube in $$\mathbb {R}^3$$ , i.e., each $$C_i$$ is a cube of side-length $$2r_i$$ . We show that if the scaling factors are chosen randomly then the expected complexity of the union of the cubes is $$O(n\log ^2n)$$ , and it improves to $$O(n\log n)$$ if the scaling factors are chosen randomly from a “well-behaved” probability density function (pdf). We also extend the latter results to higher dimensions. For any fixed odd value of $$d>3$$ , we show that the expected complexity of the union of the hypercubes is $$O(n^{{\lfloor d/2\rfloor }}\log n)$$ and the bound improves to $$O(n^{{\lfloor d/2\rfloor }})$$ if the scaling factors are chosen from a “well-behaved” pdf. The worst-case bounds are $$\Theta (n^2)$$ in $$\mathbb {R}^3$$ , and $$\Theta (n^{\lceil d/2\rceil })$$ in higher odd dimensions.

Highlights

  • We advance the state of the art regarding the complexity of the union of combinatorial objects in dimensions d ≥ 3 beyond worst-case analysis

  • We show that if the scaling factors are chosen randomly the expected complexity of the union of the cubes is O(n log2 n), and it improves to O(n log n) if the scaling factors are chosen randomly from a “well-behaved” probability density function

  • For any fixed odd value of d, we show that the expected complexity of the union of the hypercubes is O(n d/2 log n) and the bound improves to O(n d/2 ) if the scaling factors are chosen from a “well-behaved” pdf

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Summary

Introduction

We advance the state of the art regarding the complexity of the union of combinatorial objects in dimensions d ≥ 3 beyond worst-case analysis. S is a collection of arbitrary pairwise-disjoint convex sets (of constant complexity) in the plane, and the expected complexity of the union of the corresponding random Minkowski sums (again, with randomly scaled copies of the unit disk) is shown in [2] to be O(n1+ε), for any ε > 0. In both cases, the bounds are a significant improvement over the worst case quadratic bound, and almost match the linear upper bound when all scaling factors are equal—the Minkowski sums form a collection of pseudo-disks. For a bad layout of the triangles of T and a bad (non-random) choice of sizes, the complexity of U can be Θ(n3); see Section 3 for a lower-bound construction.

Union of Hypercubes
Outer vertices in 3D
Outer vertices in higher odd dimensions
Inner vertices
Findings
Union of Stochastic Minkowski Sums
Full Text
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