Continuous Flattening and Reversing of Convex Polyhedral Linkages

We prove two results about transforming any convex polyhedron, modeled as a linkage L of its edges. First, if we subdivide each edge of L in half, then L can be continuously flattened into a plane. Second, if L is equilateral and we again subdivide each edge in half, then L can be reversed, i.e., turned inside-out. A linear number of subdivisions is optimal up to constant factors, as we show (nonequilateral) examples that require a linear number of subdivisions. For nonequilateral linkages, we show that more subdivisions can be required: even a tetrahedron can require an arbitrary number of subdivisions to reverse. For nonequilateral tetrahedra, we provide an algorithm that matches this lower bound up to constant factors: logarithmic in the aspect ratio.

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Publication Details

Journal
Journal of Information Processing
Published
2025-01-01
DOI
https://doi.org/10.2197/ipsjjip.33.997
Primary Topic
Structural Analysis and Optimization
Type
article
Field-Weighted Citation Impact
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article

Continuous Flattening and Reversing of Convex Polyhedral Linkages

Victor Luo, Rebecca Lin, Markus Hecher, Chiê Nara et al.
Journal of Information Processing
Structural Analysis and Optimization
article

Continuous Flattening and Reversing of Convex Polyhedral Linkages

Victor Luo, Rebecca Lin, Markus Hecher, Chiê Nara, Erik D. Demaine, Martin L. Demaine
article en

Abstract

We prove two results about transforming any convex polyhedron, modeled as a linkage L of its edges. First, if we subdivide each edge of L in half, then L can be continuously flattened into a plane. Second, if L is equilateral and we again subdivide each edge in half, then L can be reversed, i.e., turned inside-out. A linear number of subdivisions is optimal up to constant factors, as we show (nonequilateral) examples that require a linear number of subdivisions. For nonequilateral linkages, we show that more subdivisions can be required: even a tetrahedron can require an arbitrary number of subdivisions to reverse. For nonequilateral tetrahedra, we provide an algorithm that matches this lower bound up to constant factors: logarithmic in the aspect ratio.

Journal of Information ProcessingVol. 33(0)
Meiji University (JP)
Openalex Percentile: Top 59%
Structural Analysis and Optimization
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