Substrate Logistics: Addendum
Theoretical physics has been paralyzed by the irreconcilable differences between the deterministic equations of General Relativity and the probabilistic assertions of Quantum Mechanics. This Addendum formalizes the absolute axioms of Substrate Logistics framework. By redefining physical reality as a discrete, finite-capacity κ=50 topological processor, I permanently banish mathematical infinities, singularities, and the arbitrariness of empirically tuned free parameters. Here, I present the foundational principles of this paradigm shift: The Principle of Finitum: Direct proof that nature cannot process zero (empty space) or infinity (singularities). Every physical metric is bounded by a strict discrete hardware floor and ceiling. The Absolute Bandwidth Invariant (Ω ≤ 1.0): Defining the speed of light (c) as the physical limit of 1-dimensional uncompiled data routing across a pre-tensioned Poincaré 120-cell grid. Phase States of Information: The clean division between uncompiled propagating instruction sets (Light/I-phase) and compiled 3D closed-loop geometric knots (Mass/Γ-phase). Kinematic Bandwidth Throttling: Deriving time dilation directly from CPU-resource allocation, proving that physical acceleration throttles internal state updates to preserve the system bandwidth invariant (c² = v² + u²). Algorithmic Spatial Deletion: Revealing gravity not as spacetime curvature, but as the master processor's optimization protocol to resolve network congestion. This document includes a comprehensive architectural comparison between Substrate Logistics, General Relativity, and Quantum Mechanics, demonstrating how a hardware-first approach resolves the historic paradoxes of modern physics without requiring arbitrary tuning constants.
Authors
- Marco Lindenbeck (ORCID: https://orcid.org/0009-0003-8413-6027)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-17
- DOI
- https://doi.org/10.5281/zenodo.21402879
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00