I am writing to formally deposit and publish my independent research paper, which introduces a comprehensive, logically minimal alternative to traditional continuous spacetime models and quantum field theories. For the past century, theoretical physics has grappled with profound mathematical crises: infinite field integrations down to zero distance, arbitrary fine-tuned constants, the "dark sector" paradoxes, and the fundamental incompatibility between General Relativity and Quantum Mechanics. This paper approaches these challenges from a completely new paradigm: Information First. By abandoning continuous calculus, wave functions, and abstract fields, this thesis models the cosmos as a finite, self-executing 13-dimensional informational matrix. Macro-space is treated as a discrete directed graph complex governed by Discrete Exterior Calculus (DEC) and neighbor-state probability sums. The primary breakthrough of this model is its predictive, arithmetic rigor. Operating completely without "fudge factors" or manual tuning, the paper derives the universe’s most critical, hyper-precise constants natively from the whole-number combinatorics of its 3 extrinsic, 4 spin, and 6 charge dimensions. The paper outlines the exact, integer-driven factorial ratios that compute: The Fine-Structure Constant (1/α = 137) as a pure geometric combination. The Cosmic Microwave Background Baseline (30/11 ≈ 2.727 K) as a system-idle vacuum latency. The Proton-to-Electron Mass Ratio (220339/120 ≈ 1836.158) as a structural processing overhead. The Proton-to-Neutron Mass Ratio (0.99862347) as an axial-skew transformation gradient. The Gravitational Constant (G ≈ 6.6743 × 10⁻¹¹) as a macro-space network dilution factor (137⁵). The Higgs Boson Mass (125.116 GeV/c²) as the global symmetry-breaking synchronization overhead. Furthermore, this model resolves longstanding cosmological anomalies—natively explaining the mature galaxies discovered at extreme redshifts by the James Webb Space Telescope, replacing Dark Matter through discrete sampling thresholds (MOND), and re-explaining the Black Hole Shadow as a region of 100% data saturation where relational time stops. As an independent researcher, I am depositing this manuscript to permanently timestamp my ownership of this model, establish clear public priority, and offer a transparent, executable mathematical blueprint to the broader scientific community. Thank you for providing an open-access platform that ensures independent, foundational discoveries can be archived and disseminated globally without institutional gatekeeping. Sincerely, Glenn S. Maitzglennmaitz@comcast.net
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Glenn S. Maitz (2026) studied this question.
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