A Unified Maxwell Equation Derived from Cognitional Mechanics: A Practical Foundation for Engineering Electromagnetics
Abstract
Note on versioning:This record corresponds to an earlier version of this study.The current version, with a revised title and updated content, is available at:https://zenodo.org/records/18439269 This work presents a unified formulation of classical electromagnetism derived from Cognitional Mechanics (CM), an axiomatic framework that formalizes intelligence as a system of non-commutative, finite-depth operations. The core result is Unified Maxwell Equation derived from CM: ( (1/c) * ∂/∂t + ∇· ) F = J, where the electromagnetic field is embedded as an su(3)-valued matrix operator F ∈ M₃(ℂ), and J is a conserved operational current. Despite its abstract origin, the equation reproduces all four Maxwell equations, energy conservation, and the Poynting theorem in standard SI units—requiring no modification to engineering practice, simulation tools, or pedagogical materials. The derivation demonstrates that the structure of electromagnetism (including c = 1/√(ε₀ μ₀), gauge symmetry, and energy positivity) emerges as a stability condition of non-commutative algebraic dynamics under the CM axioms. Crucially, this approach does not alter classical electrodynamics; it explains why it takes the form it does. All physical quantities—including the fine-structure constant (α⁻¹ ≈ 137.036)—are derived as invariant ratios from the geometry of M₃(ℂ), with numerical agreement at the 0.004% level. The framework is fully compatible with Griffiths- and Jackson-level electrodynamics while offering a structural foundation for the unification with gravity and particle physics within the CM-GUT program. This paper is intended for physicists, electrical engineers, and applied mathematicians seeking a deeper origin of classical field theory without sacrificing practical utility.
Fields of Study & Subjects
Quantum and Classical Electrodynamics
Relativity and Gravitational Theory
Advanced Mathematical Theories and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint