Geometric Rigidity and Phase Evolution in Graphene as Evidence for the 2D ≡ 3D Hypothesis in the GIGL Framework

Graphene provides one of the clearest experimental demonstrations that a purely two- dimensional structure can exhibit extreme mechanical rigidity, ultra-fast information trans- port, and emergent three-dimensional physical behavior. Motivated by these properties, this work explores whether graphene-like geometric constraints support the central hypothesis of the Geometric Invariant Grid Layer (GIGL): that a constrained discrete 2D geometry can be functionally equivalent to a 3D physical system (2D ≡ 3D). Rather than relying solely on abstract mathematical formalism, this study emphasizes indirect physical validation through materials science analogies, discrete geometry, and min- imal toy models. The results suggest that geometric constraint, rather than material com- plexity, may be the primary origin of structural stability across scales.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-05
DOI
https://doi.org/10.5281/zenodo.18153088
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
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article

Geometric Rigidity and Phase Evolution in Graphene as Evidence for the 2D ≡ 3D Hypothesis in the GIGL Framework

tak chung terence yeung
Zenodo (CERN European Organization for Nuclear Research)
Graphene research and applications
article

Geometric Rigidity and Phase Evolution in Graphene as Evidence for the 2D ≡ 3D Hypothesis in the GIGL Framework

tak chung terence yeung
article en

Abstract

Graphene provides one of the clearest experimental demonstrations that a purely two- dimensional structure can exhibit extreme mechanical rigidity, ultra-fast information trans- port, and emergent three-dimensional physical behavior. Motivated by these properties, this work explores whether graphene-like geometric constraints support the central hypothesis of the Geometric Invariant Grid Layer (GIGL): that a constrained discrete 2D geometry can be functionally equivalent to a 3D physical system (2D ≡ 3D). Rather than relying solely on abstract mathematical formalism, this study emphasizes indirect physical validation through materials science analogies, discrete geometry, and min- imal toy models. The results suggest that geometric constraint, rather than material com- plexity, may be the primary origin of structural stability across scales.

Zenodo (CERN European Organization for Nuclear Research)
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Graphene research and applications
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