The Best Ways to Slice a Polytope

Fuente: arXiv
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Autores principales: Brandenburg, Marie-Charlotte, De Loera, Jesús A., Meroni, Chiara
Formato: Preprint
Publicado: 2023
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author Brandenburg, Marie-Charlotte
De Loera, Jesús A.
Meroni, Chiara
author_facet Brandenburg, Marie-Charlotte
De Loera, Jesús A.
Meroni, Chiara
contents We study the structure of the set of all possible affine hyperplane sections of a convex polytope. We present two different cell decompositions of this set, induced by hyperplane arrangements. Using our decomposition, we bound the number of possible combinatorial types of sections and craft algorithms that compute optimal sections of the polytope according to various combinatorial and metric criteria, including sections that maximize the number of $k$-dimensional faces, maximize the volume, and maximize the integral of a polynomial. Our optimization algorithms run in polynomial time in fixed dimension, but the same problems show hardness otherwise. Our tools can be extended to intersection with halfspaces and projections onto hyperplanes. Finally, we present several experiments illustrating our theorems and algorithms on famous polytopes.
format Preprint
id arxiv_https___arxiv_org_abs_2304_14239
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The Best Ways to Slice a Polytope
Brandenburg, Marie-Charlotte
De Loera, Jesús A.
Meroni, Chiara
Combinatorics
Metric Geometry
Optimization and Control
52B55, 52C35, 52A38, 52A40, 52B11, 90C27, 52C45, 14P10
We study the structure of the set of all possible affine hyperplane sections of a convex polytope. We present two different cell decompositions of this set, induced by hyperplane arrangements. Using our decomposition, we bound the number of possible combinatorial types of sections and craft algorithms that compute optimal sections of the polytope according to various combinatorial and metric criteria, including sections that maximize the number of $k$-dimensional faces, maximize the volume, and maximize the integral of a polynomial. Our optimization algorithms run in polynomial time in fixed dimension, but the same problems show hardness otherwise. Our tools can be extended to intersection with halfspaces and projections onto hyperplanes. Finally, we present several experiments illustrating our theorems and algorithms on famous polytopes.
title The Best Ways to Slice a Polytope
topic Combinatorics
Metric Geometry
Optimization and Control
52B55, 52C35, 52A38, 52A40, 52B11, 90C27, 52C45, 14P10
url https://arxiv.org/abs/2304.14239