Emergent Gravity from Finite Information Density in Bounded Systems

Title: Gravity as an Emergent Limit of Information: Curvature from Bekenstein Bounds and Effective Bit Density Description: This paper presents an information-theoretic model in which gravitational curvature emerges from finite informational bounds. Using only gravitational mass as input, a scalar–tensor mapping is constructed that yields an emergent radius from a system’s bit capacity, without requiring spatial or acceleration data as priors. The core relation is rooted in a re-expression of the Bekenstein bound, modulated by a fixed 67% rendering fraction interpreted as gravitationally effective information. The model is empirically validated across a wide spectrum of physical systems, including planets, stars, compact objects, black holes, and galaxies. For each class, model-derived radii closely match observed values, confirming the viability of the mapping. A taxonomy of mass plateaus (67/x) is introduced to characterize distinct informational regimes, with denominators x \in \{45, 15, 1\} reflecting stable coupling states. The work proposes a fundamentally informational basis for gravitational geometry and opens a new path toward entropic interpretations of spacetime without assuming the Einstein field equations or geometric curvature as axiomatic. A detailed thermodynamic derivation of the rendering constant is deferred to future work.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-26
DOI
https://doi.org/10.5281/zenodo.18378130
Primary Topic
Statistical Mechanics and Entropy
Type
article
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Emergent Gravity from Finite Information Density in Bounded Systems

Gaver R. M.
Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
article

Emergent Gravity from Finite Information Density in Bounded Systems

Gaver R. M.
article en

Abstract

Title: Gravity as an Emergent Limit of Information: Curvature from Bekenstein Bounds and Effective Bit Density Description: This paper presents an information-theoretic model in which gravitational curvature emerges from finite informational bounds. Using only gravitational mass as input, a scalar–tensor mapping is constructed that yields an emergent radius from a system’s bit capacity, without requiring spatial or acceleration data as priors. The core relation is rooted in a re-expression of the Bekenstein bound, modulated by a fixed 67% rendering fraction interpreted as gravitationally effective information. The model is empirically validated across a wide spectrum of physical systems, including planets, stars, compact objects, black holes, and galaxies. For each class, model-derived radii closely match observed values, confirming the viability of the mapping. A taxonomy of mass plateaus (67/x) is introduced to characterize distinct informational regimes, with denominators x \in \{45, 15, 1\} reflecting stable coupling states. The work proposes a fundamentally informational basis for gravitational geometry and opens a new path toward entropic interpretations of spacetime without assuming the Einstein field equations or geometric curvature as axiomatic. A detailed thermodynamic derivation of the rendering constant is deferred to future work.

Zenodo (CERN European Organization for Nuclear Research)
Northgate Hospital (GB)
Openalex Percentile: Top 76%
Statistical Mechanics and Entropy
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Emergent Gravity from Finite Information Density in Bounded Systems — Gaver R. M. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS