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Emergence of Spacetime and Gravitation from Reverberative Electromagnetic Structuration: A Tensorial Framework for Mass, Curvature, and Time

Publié
Serveur de preprints
Preprints.org
DOI
10.20944/preprints202507.1860.v2

This paper introduces a predictive framework in which mass, gravitational acceleration, curvature, and time emerge from recursive photonic structuring. Unlike existing theories that treat gravity as a postulate or statistical outcome, the Grand Computational System (GCS) derives gravitational behavior directly from phase-locked electromagnetic energy interacting with entropy-scaled delay. By starting with a single photon of 3.0 nanometer wavelength, the model builds voxel-like energy structures through recursive reflection and temporal compression. Each voxel acts as a unit of confined standing-wave energy, and their accumulation yields gravitational acceleration consistent with Earth's observed value. Six equations are introduced to describe energy accumulation, entropy evolution, force emergence, phase coherence, curvature tensor formation, and recursive timing intervals. All are derived from measurable constants, including Planck’s constant, the speed of light, and entropy density based on radiative power. No free parameters or fitting functions are required. The curvature calculated from the photonic stress-energy matches the Einstein tensor near Earth's surface, and the total recursive encoding time aligns with Earth’s geological emergence timeline. The framework provides a closed-loop, testable model in which light recursively interacting with itself under boundary constraints gives rise to mass, geometry, and time. This model is compatible with known physics but offers a constructive mechanism absent from general relativity and quantum gravity. The voxel is proposed as a computational unit of reality whose structure is governed by temporal delay, entropic symmetry, and geometric confinement. Together, these domains generate the macroscopic features of spacetime from a single coherent origin.

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