Random Shadows of Fixed Polytopes

Abstract Estimating the number of vertices of a two dimensional projection, called a shadow, of a polytope is a fundamental tool appearing in several applications through connections to linear programming and parametric optimization. We prove multiple upper bounds on the expected number of vertices of a random shadow of a fixed polytope. Our bounds are in terms of various parameters in the literature including geometric diameter and edge lengths, minimal and maximal slack, maximal coordinates for lattice polytopes, and maximum absolute values of subdeterminants. For the case of geometric diameter and edge lengths, we prove lower bounds and argue that our upper and lower bounds are both tight for zonotopes.

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Publication Details

Journal
Discrete & Computational Geometry
Published
2026-10-31
DOI
https://doi.org/10.1007/s00454-026-00880-4
Primary Topic
Complexity and Algorithms in Graphs
Type
article
Field-Weighted Citation Impact
0.00

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article

Random Shadows of Fixed Polytopes

Alexander E. Black
Discrete & Computational Geometry
Complexity and Algorithms in Graphs
article

Random Shadows of Fixed Polytopes

Alexander E. Black
article en

Abstract

Abstract Estimating the number of vertices of a two dimensional projection, called a shadow, of a polytope is a fundamental tool appearing in several applications through connections to linear programming and parametric optimization. We prove multiple upper bounds on the expected number of vertices of a random shadow of a fixed polytope. Our bounds are in terms of various parameters in the literature including geometric diameter and edge lengths, minimal and maximal slack, maximal coordinates for lattice polytopes, and maximum absolute values of subdeterminants. For the case of geometric diameter and edge lengths, we prove lower bounds and argue that our upper and lower bounds are both tight for zonotopes.

Discrete & Computational Geometry
Bowdoin College (US), CUNEF Universidad (ES)
National Science Foundation
Openalex Percentile: Top 99%
Complexity and Algorithms in Graphs
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