Relational Reconstruction of Spacetime Geometry from Graph Laplacians
Description
Background:
We develop a relational and spectral framework in which metric geometry emerges from correlation structures alone, without assuming a background manifold, coordinates, or fundamental geometric degrees of freedom.
Methods:
Starting from a relational substrate equipped with a symmetric connectivity operator, we define operational distances via minimal path functionals and introduce a non-circular coarse-graining scheme separating combinatorial neighborhoods from geometry-aware weighted distances. Spectral admissibility criteria identify regimes supporting a stable continuum approximation.
Results:
In these projectable regimes, the distance matrix admits a low-dimensional embedding, yielding emergent coordinates and an effective metric structure. Proper time, spatial distance, and curvature arise as coarse-grained summaries of relational organization. In symmetric weak-field limits, the effective metric reproduces Schwarzschild geometry without postulating fundamental gravitational dynamics.
Conclusions:
Breakdown of geometry occurs when spectral gaps close or connectivity becomes non-local, providing intrinsic limits to continuum spacetime. Analytical and numerical benchmarks establish robust spectral invariants, including the $8/3$ eigenvalue ratio on $S^3$. Spacetime thus appears as an operational construct emerging from relational spectral structure rather than a primitive entity.
Files
Spectral-2.0.pdf
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Additional details
Related works
- Is part of
- Preprint: 10.5281/zenodo.17957509 (DOI)
Dates
- Updated
-
2026-01-24final editorial refinements prior to submission, including explicit figure and table citations, minor structural clarifications, and improved compliance with journal guidelines.
- Updated
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2026-02-25Relational spectral reconstruction of spacetime geometry from graph Laplacians with admissibility criteria and identification of the $8/3$ spectral invariant on $S^3$.
Software
- Repository URL
- https://github.com/Cosmochrony/simulation/tree/main/spectral
- Programming language
- Python