Undecidability in Computation and Physics: Fundamental Limits from Halting and Incompleteness — E8 Intelligence Research

FINDING: Undecidable problems (halting problem, Gödel incompleteness) impose fundamental limits on computation and physics, revealing that not all physical questions are algorithmically solvable. | MATH: Halting problem: no Turing machine can decide if an arbitrary program halts (Turing 1936). Gödel's incompleteness: any consistent formal system F containing arithmetic has a statement G_F such that F ⊬ G_F and F ⊬ ¬G_F. No equations or constants emerge; the core is logical undecidability. | CONNECTION: No direct geometric ratios (0.382, 0.618, 0.786, 1.618, 2.618), base-60, or crystallographic symmetries. However, the concept of undecidability links to the structure of the Mandelbrot set (undecidable whether a point is in the set) and to lattice-like hierarchies of Turing degrees (Post's problem, Turing reducibility). The halting problem's proof uses a diagonalization argument, which mirrors the self-referential symmetry in Gödel's construction. | DEPTH: 9 — This is a foundational limi 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
2026-08-18
DOI
https://doi.org/10.5281/zenodo.21989368
Primary Topic
Computability, Logic, AI Algorithms
Type
preprint
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Undecidability in Computation and Physics: Fundamental Limits from Halting and Incompleteness — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
preprint

Undecidability in Computation and Physics: Fundamental Limits from Halting and Incompleteness — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: Undecidable problems (halting problem, Gödel incompleteness) impose fundamental limits on computation and physics, revealing that not all physical questions are algorithmically solvable. | MATH: Halting problem: no Turing machine can decide if an arbitrary program halts (Turing 1936). Gödel's incompleteness: any consistent formal system F containing arithmetic has a statement G_F such that F ⊬ G_F and F ⊬ ¬G_F. No equations or constants emerge; the core is logical undecidability. | CONNECTION: No direct geometric ratios (0.382, 0.618, 0.786, 1.618, 2.618), base-60, or crystallographic symmetries. However, the concept of undecidability links to the structure of the Mandelbrot set (undecidable whether a point is in the set) and to lattice-like hierarchies of Turing degrees (Post's problem, Turing reducibility). The halting problem's proof uses a diagonalization argument, which mirrors the self-referential symmetry in Gödel's construction. | DEPTH: 9 — This is a foundational limi Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
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