Geometrical Framework of Knowledge: Relational Big Bang Simulation

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Authors: John Drayton
Cited by: 0

Abstract

This upload provides the mathematical engine and 3D visualization of a Big Bang event, generated entirely through the discrete mechanics of the Geometrical Framework of Knowledge (GFK). Operating strictly off a mathematical geometric model, this simulation relies on pure relational graph topology rather than standard textbook physics (incorporating no predefined gravitational constants, speed of light limits, or Newtonian kinematics). The framework neither assumes nor discounts a background lattice. Instead, physical phenomena such as expanding causal horizons, thermodynamic cooling, phase transitions, and emergent orbital limit-cycles arise natively from discrete adjacency updates. Included are the MATLAB core engine (GFK_BigBang.m) for calculating the matrix data and live 2D diagnostic graphs, alongside a high-fidelity 3D projection (GFK_BigBang_Blender.mp4) demonstrating the manifold's geometric expansion, cooling plasma epoch, and delayed topological condensation of stable composites.

Fields of Study & Subjects

Cosmology and Gravitation Theories Noncommutative and Quantum Gravity Theories Relativity and Gravitational Theory

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
15 March 2026
Language
EN
Document type
Preprint