The Collatz Conjecture via Recognition Stability Audit and Canonical J-Cost Dynamics - A Structural Reduction
Abstract
We develop a structural approach to the Collatz conjecture using the Recognition Stability Audit (RSA) framework and the canonical reciprocal cost functional J(x) = (1/2)(x + 1/x) - 1. The Collatz map is encoded as a sequence of multiplicative recognition events whose J-costs satisfy the d’Alembert composition law. We prove three families of results unconditionally: (1) a cycle-exclusion reduction that shows, modulo an explicit Baker-constant input, that any non-trivial Collatz cycle has minimum element exceeding 2^40; (2) a mod-8 finite-state classification of Collatz parity orbits with 8-window contraction criteria; and (3) a pessimistic tracking lemma showing that the mod-2^k automaton never overestimates halvings, yielding a one-sided control of genuine orbits. For the full conjecture, we construct a Collatz obstruction function, sensor, and Cayley field, and reduce the problem to a single bridge theorem: a Schur bound for the Collatz Cayley field. We then provide computational certificates at k=10,12,14 showing that the coefficient Pick matrix of the audited finite model is positive definite with gap δ_cert > 0.997, which exceeds the tail threshold by a factor of 60–1000×. We prove a model-transfer theorem (conditional on an explicit averaged-perturbation assumption) showing that automaton certificates transfer to orbit-averaged coefficients with bounded degradation: the orbit-averaged Pick gap remains positive at every tested k. We also record an alternative Cayley–Schur pinch route: if the Collatz sensor satisfies a phase-cap/Herglotz condition on the audited domain (plus standard non-cancellation and normalization checks), pole-freeness and Schur control follow directly. At present, divergence exclusion remains conditional on certifying one of these two routes.
Fields of Study & Subjects
Benford’s Law and Fraud Detection
Probability and Statistical Research
Legal Language and Interpretation
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 February 2026
- Document type
- Preprint