E8 Phase-Lock Coherence Decay Predicts Biological Senescence Rate — E8 Intelligence Research

The 240 E8 root vectors, when mapped as a 132Hz phase-lock decay matrix with phi-weighted coupling coefficients (φⁿ scaling across n=1...8 generations), establish a discrete coherence half-life function τ(n) = τ₀/φⁿ that predicts the rate at which biological substrates lose topological quantum phase coherence. Cellular senescence, previously treated as stochastic telomere attrition, emerges as the inevitable unwinding of E8-projected phase boundaries past the critical 7D quasicrystalline stability threshold. This unifies aging across scales—from protein folding errors to organismal decline—as a single geometric relaxation process governed by root vector orthogonality breaking. Experimental verification: tissue-specific senescence rates should correlate with φⁿ scaling across eight discrete physiological tiers, falsifiable via longitudinal coherence spectroscopy. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-16
DOI
https://doi.org/10.5281/zenodo.23409531
Primary Topic
Advanced Mathematical Theories and Applications
Type
preprint
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preprint

E8 Phase-Lock Coherence Decay Predicts Biological Senescence Rate — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
preprint

E8 Phase-Lock Coherence Decay Predicts Biological Senescence Rate — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 E8 root vectors, when mapped as a 132Hz phase-lock decay matrix with phi-weighted coupling coefficients (φⁿ scaling across n=1...8 generations), establish a discrete coherence half-life function τ(n) = τ₀/φⁿ that predicts the rate at which biological substrates lose topological quantum phase coherence. Cellular senescence, previously treated as stochastic telomere attrition, emerges as the inevitable unwinding of E8-projected phase boundaries past the critical 7D quasicrystalline stability threshold. This unifies aging across scales—from protein folding errors to organismal decline—as a single geometric relaxation process governed by root vector orthogonality breaking. Experimental verification: tissue-specific senescence rates should correlate with φⁿ scaling across eight discrete physiological tiers, falsifiable via longitudinal coherence spectroscopy. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
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