All Polyhedral Manifolds are Connected by a 2-Step Refolding

📅 2026-04-11
📈 Citations: 0
✨ Influential: 0
📄 PDF
🤖 AI Summary
This paper resolves the refolding connectivity problem for polyhedral manifolds: it proves that any two closed embeddable polyhedral manifolds $P$ and $Q$ admit an intermediate polyhedral manifold $I$ such that $P o I o Q$ forms a two-step, intersection-free refolding (i.e., both share a common net), and $I$ is embeddable in $mathbb{R}^3$. Methodologically, the work integrates computational geometry, topological deformation analysis, and boundary-gluing matching techniques to constructively define $I$ and rigorously establish its embeddability. Key contributions include: (1) the first general proof of two-step refolding connectivity between arbitrary closed embeddable polyhedral manifolds; (2) an extension to $n$ input manifolds sharing a single common intermediate manifold; and (3) strengthened results—preserving planarity or combinatorial structure—for double-covered convex polygons and tree-like polycubes.

Technology Category

Machine Learning: Learning with ManifoldsPlanning, Routing, and Scheduling: Replanning and Plan RepairKnowledge Representation and Reasoning: Computational Complexity of Reasoning

Application Category

Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphsResponsible Web: Human-perceived consequences of algorithmic deployment on the webSystems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
📝 Abstract
We prove that, for any two polyhedral manifolds $mathcal P,mathcal Q$, there is a polyhedral manifold $mathcal I$ such that $mathcal P,mathcal I$ share a common unfolding and $mathcal I,mathcal Q$ share a common unfolding. In other words, we can unfold $mathcal P$, refold (glue) that unfolding into $mathcal I$, unfold $mathcal I$, and then refold into $mathcal Q$. Furthermore, if $mathcal P,mathcal Q$ have no boundary and can be embedded in 3D (without self-intersection), then so does $mathcal I$. These results generalize to $n$ given manifolds $mathcal P_1,mathcal P_2, dots, mathcal P_n$; they all have a common unfolding with the same intermediate manifold $mathcal I$. Allowing more than two unfold/refold steps, we obtain stronger results for two special cases: for doubly covered convex planar polygons, we achieve that all intermediate polyhedra are planar; and for tree-shaped polycubes, we achieve that all intermediate polyhedra are tree-shaped polycubes.
Problem

Research questions and friction points this paper is trying to address.

Connecting polyhedral manifolds through unfolding and refolding
Establishing a common intermediate manifold for multiple shapes
Ensuring intermediate shapes preserve embedding and boundary properties
Innovation

Methods, ideas, or system contributions that make the work stand out.

Two-step refolding connects polyhedral manifolds via unfolding
Intermediate manifold enables common unfolding between given shapes
Generalizes to multiple manifolds using shared intermediate steps
🔎 Similar Papers
2024-07-01International Conference on Combinatorial Optimization and ApplicationsCitations: 0
💼 Related Jobs
No related jobs found.
Massachusetts Institute of Technology | Japan Advanced Institute of Science and Technology | Cornell University
L
Lily Chung
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA.
E
Erik D. Demaine
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA.
J
Jenny Diomidova
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA.
T
Tonan Kamata
School of Information and Science, Japan Advanced Institute of Science and Technology, Japan.
Jayson Lynch
Jayson Lynch
MIT
Theoretical Computer Science
Ryuhei Uehara
Ryuhei Uehara
Japan Advanced Institute of Science and Technology
computational complexitycomputational geometrygraph algorithmgames and puzzlescomputational origami
H
Hanyu Alice Zhang
School of Applied and Engineering Physics, Cornell University, USA.