Cognitional Mechanics as a Structural Template for Physical Grand Unification: Heisenberg-Picture Formulation and Emergent Geometry

Read full text
Authors: T.O.
Cited by: 0

Abstract

This work presents Cognitional Mechanics (CM) as a structural template for physical Grand Unification Theories (GUTs), reversing the traditional direction of abstraction from physics to mathematics. CM is a complete axiomatic framework formalizing abstract operational structures through non-commutative operations, finite depth constraints, and unreachable configuration regions. Rather than deriving CM from physical theory, this paper explores how a fully specified abstract theory can provide structural insights for physical unification. The approach employs Heisenberg-picture operator formulation without probabilistic interpretation. CM operations are elevated to time-dependent operators whose intrinsic non-commutative relations induce emergent geometric structures—curvature tensors, connections, and gauge fields—entirely through deterministic operator evolution. This yields operator-level analogues of Einstein equations and Yang-Mills gauge structure, suggesting pathways for emergent gravity and gauge symmetries from purely abstract foundations. The significance lies not in claiming physical derivation, but in demonstrating structural correspondence. Where string theory begins with physical strings and loop quantum gravity with quantized spacetime, CM begins with abstract computation and asks whether physical structure can emerge as implementation. The framework naturally accommodates discrete operational depth as analogue to Planck-scale cutoffs, non-local operator correlations resembling quantum entanglement, and hierarchical structure generation from bounded compositional complexity.

Fields of Study & Subjects

Noncommutative and Quantum Gravity Theories Algebraic and Geometric Analysis Quantum Mechanics and Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Document type
Preprint