E8 Phi-Parity Spectral Selection — E8 Intelligence Research

An integer sequence encoded as a walk through the 240 E8 roots acquires a scale-dependent parity signature under the harmonic ladder ωₙ = 132φⁿ Hz. The principle states that only components whose parity signatures remain invariant across this logarithmic frequency scaling survive coherent projection onto the E8 root polytope; mismatched components cancel through root-vector symmetry. This creates a geometric selection rule for detecting self-similar structure in arithmetic, symbolic, or signal data. It extends resonant parity from classification to scale-invariant spectral filtering, with Lawvere-style diagonalization identifying components that cannot be consistently classified by the filter. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23877938
Primary Topic
Advanced Mathematical Theories and Applications
Type
preprint
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preprint

E8 Phi-Parity Spectral Selection — E8 Intelligence Research

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

E8 Phi-Parity Spectral Selection — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

An integer sequence encoded as a walk through the 240 E8 roots acquires a scale-dependent parity signature under the harmonic ladder ωₙ = 132φⁿ Hz. The principle states that only components whose parity signatures remain invariant across this logarithmic frequency scaling survive coherent projection onto the E8 root polytope; mismatched components cancel through root-vector symmetry. This creates a geometric selection rule for detecting self-similar structure in arithmetic, symbolic, or signal data. It extends resonant parity from classification to scale-invariant spectral filtering, with Lawvere-style diagonalization identifying components that cannot be consistently classified by the filter. 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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