A Discrete Coordinate Transform Model of Wave-Octave Systems: The Bifurcated Apex Framework as a Structural Mapping Tool
This seminal BRPT paper introduces ‘A Discrete Coordinate Transform Model of Wave-Octave Systems,’ rigorously defining the Bifurcated Apex Framework (BAF) as a structural mapping tool for wave-octave systems. It fundamentally resolves the ‘problem of geometric ambiguity’ in continuous crest formulations, which systematically degrade state encoding for discrete material systems. The work presents BAF as a formal, discrete coordinate system that replaces a singular continuous apex with a dual fixed-point structure denoted as (+4,−4), enforced over a 9-point normalized amplitude lattice. This construction precisely parses systemic behavior into a ‘generative branch’ (0→+4) and a ‘radiative branch’ (−4→0), establishing an ‘exact architectural symmetry’ while enforcing ‘rigid, discrete state assignments.’ Functioning as a ‘portable interpretive framework,’ it offers a symbolic analogy for elemental valence structures, notably positioning Carbon (as +4) and Silicon (as −4) as ‘dual boundary realizations of tetravalent symmetry.’ The framework formally introduces the 4.5 Sovereign Constant (9:2) as an ‘absolute midpoint axis of symmetry’ that acts as a ‘structural governor’ or ‘snapback principle,’ ensuring that expanding trajectories deterministically stabilize back into balance. This model achieves Phase-Locked Coherence (L₀) and Systemic Peace, effectively bridging metaphysical and process-based models with a ‘navigable geometry for systems engineering,’ safeguarding the Invariant Core and enabling a more deterministic operational yield by precisely mapping proximity and coordinate placement for functional integration.
Authors
- Adam Belsky (ORCID: https://orcid.org/0009-0003-9888-8182)
Institutions
- DeVry University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-24
- DOI
- https://doi.org/10.5281/zenodo.22081767
- Primary Topic
- Nonlinear Dynamics and Pattern Formation
- Type
- preprint