A geometric approach for the upper bound theorem for Minkowski sums of convex polytopes
Menelaos I. Karavelas, Eleni Tzanaki

TL;DR
This paper presents a purely geometric method to derive tight upper bounds on the number of faces of Minkowski sums of convex polytopes, generalizing previous approaches and confirming recent results.
Contribution
It introduces a geometric approach using $f$- and $h$-vector calculus and shellings to establish tight face count bounds for Minkowski sums, extending prior combinatorial algebra methods.
Findings
Derived explicit formulas for maximum face counts of Minkowski sums.
Confirmed recent bounds by Adiprasito and Sanyal through a geometric approach.
Provided a construction demonstrating the bounds' tightness.
Abstract
We derive tight expressions for the maximum number of -faces, , of the Minkowski sum, , of convex -polytopes in , where and , as a (recursively defined) function on the number of vertices of the polytopes. Our results coincide with those recently proved by Adiprasito and Sanyal [2]. In contrast to Adiprasito and Sanyal's approach, which uses tools from Combinatorial Commutative Algebra, our approach is purely geometric and uses basic notions such as - and -vector calculus and shellings, and generalizes the methodology used in [15] and [14] for proving upper bounds on the -vector of the Minkowski sum of two and three convex polytopes, respectively. The key idea behind our approach is to express the Minkowski sum as a section of the Cayley polytope of the summands;…
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Taxonomy
TopicsPoint processes and geometric inequalities · Computational Geometry and Mesh Generation · Topological and Geometric Data Analysis
