The Undecidability of Halting: A Diagonal Proof of Computable Limits — E8 Intelligence Research
FINDING: The Halting Problem establishes that no algorithm can decide, for all program-input pairs, whether the program halts — a foundational limit on computable knowledge. | MATH: Formalized via diagonalization: assume decider H(P,I) exists; construct D(P) = loop if H(P,P)=halt, else halt; then D(D) yields contradiction. No equation, but the proof encodes a self-referential fixed-point structure: H(D,D) ⇔ ¬H(D,D). | CONNECTION: The diagonal argument mirrors the structure of Cantor's uncountability and the incompleteness of self-referential systems. In lattice terms, the set of computable functions is countable (ℵ₀), while all functions on ℕ are uncountable (2^ℵ₀) — a cardinality gap, not a ratio. No golden ratio, base-60, or crystallographic symmetry appears; the relevant symmetry is the self-duality of the diagonal (a 180° rotational symmetry in the truth table of H over the diagonal). | DEPTH: 8 — Profound for epistemology and computation, but not directly geometric; it reveals a s Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-15
- DOI
- https://doi.org/10.5281/zenodo.22762580
- Primary Topic
- Computability, Logic, AI Algorithms
- Type
- preprint