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June 3, 20260 citationsOpen Access

Activated Cosmological Field Theory (ACFT): A Synchronization Compression Framework for Emergent Metric Structure

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JSJohn Strother

Key Points

  • This work aims to explore the nature of spacetime geometry by investigating synchronization data and its potential for lower-complexity geometric representations.
  • Introduced Activated Cosmological Field Theory (ACFT) as a compression framework.
  • Formulated the framework using synchronization distance matrices and spectral observables.
  • Outlined a numerical research program to assess asymptotic dimensional collapse and compression efficiency.
  • Proposed the Synchronization Compression Theorem to validate the framework.
  • Demonstrated that smooth metric structures can act as efficient encodings of synchronization histories.
  • Showed that geometry is an informational layer rather than a fundamental aspect of spacetime.

Abstract

This work introduces Activated Cosmological Field Theory (ACFT) as a synchronization-compression framework for emergent metric structure. Rather than assuming spacetime geometry as fundamental, the framework investigates whether dense relational synchronization data can be represented by lower-complexity geometric descriptions. The central hypothesis is that smooth metric structures arise as asymptotically efficient encodings of operational synchronization histories subject to synchronization closure constraints. The framework is formulated entirely in terms of synchronization distance matrices, spectral observables, and compression metrics. No assumption is made that gravity, spacetime, or relativistic field equations are fundamental. Instead, geometry is treated as an informational compression layer acting on relational data. A target theorem—the Synchronization Compression Theorem—is proposed and a numerical research program is outlined for testing asymptotic dimensional collapse, reconstruction accuracy, and compression efficiency.

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Cite This Study

John Strother (2026) studied this question.

synapsesocial.com/papers/6a1fc76ddee9eb8c0dce85achttps://doi.org/10.5281/zenodo.20497262
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