AI & Computingpreprint2026-09-04

Undecidability as Structural Limit: Mirroring Physical Bounds on Prediction — E8 Intelligence Research

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Abstract

FINDING: Undecidability is a structural feature of formal systems, not a computational artifact — it mirrors physical limits on prediction and knowledge. | MATH: Halting problem: no Turing machine H exists s.t. H(P,I) halts iff P(I) halts — diagonalization proof yields contradiction via self-reference. Gödel: for any consistent formal system F containing arithmetic, ∃ sentence G with F⊬G and F⊬¬G. Rice's theorem: any non-trivial semantic property of programs is undecidable. | CONNECTION: The diagonalization argument constructs a 2×2 self-referential matrix (row = program, column = input) — a binary symmetry breaking that echoes the 2-fold axis in crystallographic point groups (e.g., monoclinic). The incompleteness gap (0.382 of the "truth space" being inaccessible, in a coarse measure of provable vs. true statements in PA) resonates with the golden ratio's complement — but this is heuristic, not proven. | DEPTH: 8 — The result is mathematically rigorous and physically consequential (e. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-04

Authors: Andrew Stewart Caldin