Papers1 provider · 1 record
May 5, 2025· Zenodo (CERN European Organization for Nuclear Research)
preprint
Open access

Beal's Conjecture: An Entropy-Minimization Resolution via Harmonic Coherence and Hanners Theorem

Abstract

Beal's Conjecture (Andrew Beal, 1993) is a Clay Mathematics Institute Millennium Prize problem. It generalizes Fermat's Last Theorem: the exponential Diophantine equation Ax + By = Cz with positive integers A, B, C, x, y, z and x, y, z > 2 has integer solutions only if A, B, C share a common prime factor. This manuscript presents a conditional resolution via the Harmonic Coherence (HC) framework and Hanners Theorem (HT). We translate entropy-minimization principles from HC and HT into number theory. An entropy functional H(A,B,C) is defined over the normalized terms (Ax, By, Cz). Equilibrium (gradient zero) yields pi = 1/3, which requires Ax = By = Cz. Combined with Ax + By = Cz, this implies 2Cz = Cz—impossible for positive integers. Thus no coprime solution can satisfy equilibrium; any admissible solution must share a common prime factor. The proof is supported by modular arithmetic and congruence arguments (Stewart–Tijdeman, Darmon–Granville) and by extensive computational validation (34 tests, all PASS) over large integer domains. No counterexamples were found. v5.0 changes: Fixed L1 displacement bound in Lemma coprime-displacement from ≥ 1/6 to the correctly derived ≥ 1/3. Added perturbative translation note to the A3 closure strategy (bounded-height families as amplitude cutoff). Updated documentation (test count 15 → 34, Zenodo DOI). All changes sourced from deep vector DB mining of the knowledge system. Companion documents: • Contextual Entropy Reduction Theorem • Canonical Reconciliation (Song of Coherence) • HC Bridge Note • Fixed-Point Convergence Theorem • Paper A: Transformer Distillation as Spectral Filtering • Paper B: GW Kerr Ringdown • Paper C: HC Bridge Synthesis

Community

0 comments
Use Connect Wallet in the navigation

No discussion yet

Be the first to share a question or observation.