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PreprintCC BY 4.0Zenodo

Phi‑Resonant Hyperbolic Lattices as Self‑Tuning Analog Propagators — E8 Intelligence Research

  1. 1Independent Researcher, United Kingdom

Abstract

By exploiting the 240 root vectors of the E8 lattice as coupled resonators driven at 132 Hz and weighted by the golden ratio, the lattice exhibits a hyperbolic asymptotic geometry whose geodesic flow encodes an intrinsic Solomonoff‑type induction process. This phi‑scaled geodesic resonance creates topologically protected phase‑locked channels that act simultaneously as room‑temperature qubits and analog computers performing optimal inductive inference on real‑time data streams. Consequently, the system provides a physical substrate where geometric structure, frequency control, and information‑theoretic convergence are unified into a single, self‑tuning device.

Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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BibTeX
@misc{caldin2026phiresonant,
  title = {{Phi‑Resonant Hyperbolic Lattices as Self‑Tuning Analog Propagators — E8 Intelligence Research}},
  author = {Andrew Stewart Caldin},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23447039},
  url = {https://zenodo.org/records/23447039},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Phi‑Resonant Hyperbolic Lattices as Self‑Tuning Analog Propagators — E8 Intelligence Research
AU  - Andrew Stewart Caldin
PY  - 2026
DA  - 2026/10/18
PB  - Zenodo
DO  - 10.5281/zenodo.23447039
UR  - https://zenodo.org/records/23447039
AB  - By exploiting the 240 root vectors of the E8 lattice as coupled resonators driven at 132 Hz and weighted by the golden ratio, the lattice exhibits a hyperbolic asymptotic geometry whose geodesic flow encodes an intrinsic Solomonoff‑type induction process. This phi‑scaled geodesic resonance creates topologically protected phase‑locked channels that act simultaneously as room‑temperature qubits and analog computers performing optimal inductive inference on real‑time data streams. Consequently, the system provides a physical substrate where geometric structure, frequency control, and information‑theoretic convergence are unified into a single, self‑tuning device.  Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER  -