AI & Computingpreprint2026-09-08

Entropy and Collatz: No Unified Model Found — E8 Intelligence Research

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Abstract

FINDING: The search results cluster around entropy's logarithmic basis (log2) and the Collatz conjecture's information-theoretic structure, with no direct evidence of a unified entropy-Collatz model in the provided sources. | MATH: Shannon entropy H = −Σ p_i log2(p_i); Collatz map T(n) = n/2 if even, (3n+1)/2 if odd; log2(3) ≈ 1.585 is the asymptotic growth factor of the odd-step multiplier; the "information loss" per Collatz step is bounded by log2(3) − 1 ≈ 0.585 bits per odd step (if modeled as a binary tree). | CONNECTION: log2(3) ≈ 1.585 is not a golden-ratio constant, but note 1/1.585 ≈ 0.631, and 0.618 (golden ratio conjugate) is within 2% — a weak, non-rigorous proximity. The adelic/Langlands framing suggests p-adic structures, which relate to base-p (not base-60) symmetries; no crystallographic or root-system link is evident in these abstracts. | DEPTH: 4 — The findings are informative but fragmented; the entropy-Collatz link is plausible (information loss per iteration) but no 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 2026-09-08

Authors: Andrew Stewart Caldin