DIFFRACTION Abstract Asymmetrical Systems Modeling

DIFFRACTION: Abstract Asymmetrical Systems Modeling is the third manuscript in the DIFFRACTION research program. This work formalizes a framework for modeling asymmetrical systems whose state identity is preserved through reversible, admissibility-constrained transformations. The manuscript organizes the underlying source artifacts into a unified presentation centered on stepwise transforms, hidden-pair complex embeddings, spectral unfolding, coherence-aware constrained superposition, and three admissibility axioms: State Validity, Operator Closure, and Representation Fidelity. Rather than introducing new mathematics, this preprint consolidates and refines the existing theoretical framework into an IEEE-style manuscript. The discussion connects the preserved mathematical structure across signal processing, cryptographic transformations, runtime systems, quantum-inspired representations, complex vector embeddings, and abstract asymmetrical systems while maintaining a conservative interpretation of the underlying source material. Supporting computational appendices illustrate recurrence behavior and manifold construction used during development.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-03
DOI
https://doi.org/10.5281/zenodo.21342631
Primary Topic
Control Systems and Identification
Type
preprint
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preprint

DIFFRACTION Abstract Asymmetrical Systems Modeling

Jesse Lowe, Jeffery Kimbrow
Zenodo (CERN European Organization for Nuclear Research)
Control Systems and Identification
preprint

DIFFRACTION Abstract Asymmetrical Systems Modeling

Jesse Lowe, Jeffery Kimbrow
preprint en

Abstract

DIFFRACTION: Abstract Asymmetrical Systems Modeling is the third manuscript in the DIFFRACTION research program. This work formalizes a framework for modeling asymmetrical systems whose state identity is preserved through reversible, admissibility-constrained transformations. The manuscript organizes the underlying source artifacts into a unified presentation centered on stepwise transforms, hidden-pair complex embeddings, spectral unfolding, coherence-aware constrained superposition, and three admissibility axioms: State Validity, Operator Closure, and Representation Fidelity. Rather than introducing new mathematics, this preprint consolidates and refines the existing theoretical framework into an IEEE-style manuscript. The discussion connects the preserved mathematical structure across signal processing, cryptographic transformations, runtime systems, quantum-inspired representations, complex vector embeddings, and abstract asymmetrical systems while maintaining a conservative interpretation of the underlying source material. Supporting computational appendices illustrate recurrence behavior and manifold construction used during development.

Zenodo (CERN European Organization for Nuclear Research)
University of Missouri–Kansas City (US)
Control Systems and Identification
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