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December 21, 20250 citationsOpen Access

Design Principles for Realizable Discrete Surface Embeddings in Physical Systems

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KKK.S. KimCSChristian D. Santangelo

Key Points

  • This research focuses on developing design principles for discrete surface embeddings in physical systems.
  • Analyzed relationships between mesh connectivity and embedding multiplicity using rigidity theory.
  • Developed computational methods based on local matrix operations and trilateration techniques.
  • Conducted numerical simulations to validate the approach.
  • Established criteria for designing meshes that minimize solution multiplicity.
  • Demonstrated comparable accuracy to traditional minimization methods with computational advantages.
  • Showed that local fluctuations indicate insufficient geometric constraints in unique solutions.

Abstract

The isometric embedding of surfaces in three-dimensional space is fundamental to various physical systems, from elastic sheets to programmable materials. While continuous surfaces typically admit unique solutions under suitable boundary conditions, their discrete counterparts-represented as networks of vertices connected by edges-can exhibit multiple distinct embeddings for identical edge lengths. We present a systematic approach to constructing discrete meshes that yield a controlled number of embeddings. By analyzing the relationship between mesh connectivity and embedding multiplicity through rigidity theory, we develop criteria for designing meshes that minimize solution multiplicity. We demonstrate computational methods based on local matrix operations and trilateration techniques, enabling practical implementation for meshes with approximately a thousand vertices. Our analysis provides both theoretical bounds on the number of possible embeddings based on B\'ezout's theorem and practical guidelines for mesh construction in physical applications. Through numerical simulations, we show that this approach achieves comparable accuracy to traditional minimization methods while offering computational advantages through sequential computation. Importantly, we demonstrate that in cases where a unique smooth solution exists, local fluctuations in reconstructed shapes derived from the computational grid can serve as indicators of insufficient geometric constraints. This work bridges the gap between discrete and continuous embedding problems, providing insights for applications in 4D printing, mechanical meta-materials, and deployable structures.

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Cite This Study

Kim et al. (2025) studied this question.

synapsesocial.com/papers/69473b64db9c958d0dfcaa01https://doi.org/10.48550/arxiv.2505.07696
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