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February 12, 20260 citationsOpen Access

Intrinsic-Flatness Admissibility: A Deterministic Collapse Framework for Vertex-Minimal Polyhedral Tori

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JVJorge Vasconcelos

Key Points

  • This framework aims to define conditions for admissibility in constructing and classifying intrinsically flat polyhedral tori.
  • Establishes a deterministic admissibility framework for intrinsic flatness.
  • Formalizes flatness as a binary admissibility condition.
  • Uses replayable collapse witnesses to certify infeasibility and minimality.
  • Eliminates impossible construction routes before execution.
  • Introduced a non-constructive approach to specify admissibility conditions.
  • Supported certification without detailing construction procedures.
  • Highlighted collapse criteria as a framework for classification.

Abstract

Description (Abstract) This document establishes a deterministic admissibility framework for the construction and classification of intrinsically flat polyhedral tori embedded in three-dimensional Euclidean space. Rather than treating the problem as a search or optimization task over continuous parameters, the framework formalizes intrinsic flatness as a binary admissibility condition governed by constraint-induced collapse. The approach emphasizes the elimination of impossible construction routes prior to execution and supports certification of infeasibility and minimality through replayable collapse witnesses. The analysis is non-constructive and intentionally non-enabling: it specifies admissibility conditions and collapse criteria without disclosing ordering rules, propagation mechanics, or realization procedures.

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Cite This Study

Jorge Vasconcelos (2026) studied this question.

synapsesocial.com/papers/698d6e7b5be6419ac0d54403https://doi.org/10.5281/zenodo.18599574
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