The Undecidability Core: Halting Problem's Diagonalization Boundary — E8 Intelligence Research

FINDING: The Halting Problem establishes a fundamental undecidability boundary in formal systems, proving no universal algorithm can decide whether an arbitrary program halts. | MATH: Formalized via diagonalization: assume HALT(P,I) exists; construct D(P) = loop if HALT(P,P) halts, else halt; then D(D) yields contradiction. Core invariant: the set of halting programs is recursively enumerable but not recursive (Σ₁-complete in arithmetical hierarchy). No constants or ratios arise — this is a structural, not quantitative, result. | CONNECTION: The diagonalization argument mirrors the incompleteness of self-referential systems — analogous to the impossibility of a finite lattice capturing all orbits in a root system without fixed points. The undecidability boundary acts like a symmetry-breaking point: below it (decidable problems) forms a countable, well-ordered hierarchy; above it, the space is uncountably dense with undecidable sets. This resembles the gap between rational (computable) 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
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23007052
Primary Topic
Computability, Logic, AI Algorithms
Type
preprint
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The Undecidability Core: Halting Problem's Diagonalization Boundary — E8 Intelligence Research

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

The Undecidability Core: Halting Problem's Diagonalization Boundary — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: The Halting Problem establishes a fundamental undecidability boundary in formal systems, proving no universal algorithm can decide whether an arbitrary program halts. | MATH: Formalized via diagonalization: assume HALT(P,I) exists; construct D(P) = loop if HALT(P,P) halts, else halt; then D(D) yields contradiction. Core invariant: the set of halting programs is recursively enumerable but not recursive (Σ₁-complete in arithmetical hierarchy). No constants or ratios arise — this is a structural, not quantitative, result. | CONNECTION: The diagonalization argument mirrors the incompleteness of self-referential systems — analogous to the impossibility of a finite lattice capturing all orbits in a root system without fixed points. The undecidability boundary acts like a symmetry-breaking point: below it (decidable problems) forms a countable, well-ordered hierarchy; above it, the space is uncountably dense with undecidable sets. This resembles the gap between rational (computable) 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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The Undecidability Core: Halting Problem's Diagonalization Boundary — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS