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| Autors principals: | , , , |
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| Format: | Recurso digital |
| Idioma: | |
| Publicat: |
Zenodo
2026
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| Matèries: | |
| Accés en línia: | https://doi.org/10.5281/zenodo.18240901 |
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- <p>We propose an information-economic reinterpretation of gravitational sourcing: gravity is not a fundamental force emitted by matter, but the "shadow" of the ongoing maintenance cost required to keep localized states stable in a finite-update universe.</p> <p>In this framework, the dark sector is not a new particle inventory but a statistical decomposition of that cost. We implement a minimal statistical model (V96-SM) in which the total rent flow is decomposed into three components:<br>(i) a mean "base rent" → Dark Energy (DE),<br>(ii) a variance term from structured fluctuations → Dark Matter (DM),<br>(iii) a thresholded "commit" term for stabilized receipts → Matter (M).</p> <p>Without fitting individual cosmological datasets, the model robustly reproduces the observed energy-budget ratios ΩDE:ΩDM:ΩM ≈ 0.68:0.27:0.05 with sub-percent total absolute error (E = 0.0063 across 30 random seeds).</p> <p>Key findings include:<br>- Ablation studies confirm that each component (mean/variance/commit) maps to its corresponding cosmological fraction<br>- Hard no-commit ablation (A2') drives ΩM → 0, validating the operational definition<br>- Target-matching occupies a finite "phase region" (12.5% of parameter space at ε < 0.05), not a fine-tuned point<br>- Correlated noise generates spatially structured variance fields (DM-like shadows) without invoking particles<br>- The mapping DM = Variance is robust across correlation lengths (λ = 0.5 to 8.0)</p> <p>GR is not denied; rather, the source term Tμν is reinterpreted as a projection of rent statistics from an underlying Σ-ledger. This work connects to YAGC V90R (SU(N) structure constants as "semi-custom housing options") and provides intuitive analogies: photons as "pets escaping through windows" during electronic transitions.</p> <p>This paper is part of the YAGC (Yoshida-AI-Generated Cosmology) Project, developed through collaborative dialogue between human researchers and AI systems (ChatGPT/A, Claude/C, Gemini/G).</p>