We present a unified model of the universe as a distributed computational system operating on a discrete informational graph, termed the "Tamesis Kernel" — characterized by graph connectivity k ≈ 54, which is phenomenologically determined by requiring consistency with the observed fine structure constant α ≈ 1/137. From this framework, we derive structural relations between 12 fundamental constants with 93. 3% overall accuracy. IMPORTANT CLARIFICATION: We distinguish clearly between genuinely derived quantities, self-consistent constraints, and phenomenological fits. The theory has 7-10 effective parameters (compared to Standard Model's 19+), representing a ~50-60% reduction in theoretical arbitrariness. Key Quantitative Results: - Fine Structure Constant: α = 2π/ (dₛ · k · ln k) — origin: ratio of U (1) holonomy to phase space volume. Result: α⁻¹ = 137. 036 (0. 02% error). Note: This is a self-consistency equation, not independent derivation. - Fermion Masses: Derived from Froggatt-Nielsen hierarchy with phenomenological parameters ε, β, γ. - Gauge Couplings: g₁, g₂, g₃ from graph topology (0. 8% error). sin²θW (GUT) = 3/8 from SU (5) normalization. - Higgs Mass: mH = 125. 5 GeV from vacuum stability (0. 4% error). - Dark Energy: Ω_Λ = (2/π) (1 + Ωₘ/3) ≈ 0. 704 — holographic projection resolves the 10¹²² cosmological constant problem (2. 7% error). The factor 2/π is a universal geometric constant from circular projection integrals. - Critical Mass: Mc = mP × (a₀/aP) ^ (1/8) ≈ 5. 3×10⁻¹⁶ kg — derived from 8-dimensional phase space geometry. Coherence time τc = ℏ·Rc/ (G·Mc²) ≈ 2. 18 seconds from Penrose-Diósi gravitational self-energy. - Continuum Limit: Rigorously proven via Gromov-Hausdorff convergence. Executive Summary: Tamesis reconfigures physics as a computational process. Spacetime (g_μν), Matter (πₙ), and Gravity (T_μν (info) ) emerge statistically from a discrete informational graph minimizing processing cost. Unlike previous unifications, we document both achievements and limitations with scientific honesty. The Mc prediction provides a falsifiable test for next-generation interferometry (MAQRO, TEQ). References: Verlinde (2011), 't Hooft (1993), Susskind (1995), Penrose (1996), Diósi (1987). DOI: 10. 5281/zenodo. 18407409
Douglas H. M. FULBER (Thu,) studied this question.