The Information Geometry of the Universe - Evolution in Discrete ln 2 Steps

This work presents the complete formulation of the ln 2 Information Geometry: a unified framework in which information theory, geometry, and physics all arise from the same discrete logarithmic structure. At the physical scale, the framework shows that black holes and the universe all evolve through fixed powers of ln 2. Compression, expansion, curvature, rotation, entropy, information, and cosmic time each scale as integer powers of ln 2, forming a single discrete ladder that governs all physical change. Particle identity, weak‑force transitions, black‑hole accretion, jet emission, and cosmic expansion are revealed as different manifestations of the same ln 2 stepping behaviour.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-28
DOI
https://doi.org/10.5281/zenodo.20044692
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
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article

The Information Geometry of the Universe - Evolution in Discrete ln 2 Steps

Craig Suffers
Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
article

The Information Geometry of the Universe - Evolution in Discrete ln 2 Steps

Craig Suffers
article en

Abstract

This work presents the complete formulation of the ln 2 Information Geometry: a unified framework in which information theory, geometry, and physics all arise from the same discrete logarithmic structure. At the physical scale, the framework shows that black holes and the universe all evolve through fixed powers of ln 2. Compression, expansion, curvature, rotation, entropy, information, and cosmic time each scale as integer powers of ln 2, forming a single discrete ladder that governs all physical change. Particle identity, weak‑force transitions, black‑hole accretion, jet emission, and cosmic expansion are revealed as different manifestations of the same ln 2 stepping behaviour.

Zenodo (CERN European Organization for Nuclear Research)
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