A Collision-Safe 21-Polynomial Gram Reduction for Defect-Three Collatz Kernels

A low-defect approach to hypothetical Collatz cycles leads, on the boundary branch h3 = s, to a cyclic operator with a seven-term Laurent kernel. After imposing η^−s = 2/3, two cyclic coincidences reduce this kernel to six atoms. Its Gram autocorrelation therefore contains 36 ordered-pair contributions. We prove that these contributions admit an exact grouping into 21 symbolic shift classes and, crucially, that the grouping remains valid when different symbolic classes collide in Z/sZ. Each class mass is then identified with an explicit low-degree polynomial in η, u1 = η^−h1 and u2 = η^−h2. The 21 polynomials are further identified with the 18-monomial integer coefficient table used by an existing compressed certificate checker: after multiplication by 9, their coefficients agree exactly with the stored Kronecker encodings. We also prove injectivity of that signed Kronecker packing for length-18 coefficient rows under the bounds used by the checker. The central algebraic statements are machine-checked in Lean 4.28.0 with Mathlib 4.28.0; the archived proof leaves contain no sorry, admit, or project-specific axioms. An independent exact Python replay gives 378/378 ordinary coefficient matches. This note is deliberately limited in scope. It does not prove the Collatz conjecture, and it does not complete the defect-three exclusion. The remaining step is to connect the per-class compressed transformed-diagonal certificates to the corresponding real cyclic Gram entries and then instantiate the final local determinant capstone.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-21
DOI
https://doi.org/10.5281/zenodo.22036716
Primary Topic
Benford’s Law and Fraud Detection
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

A Collision-Safe 21-Polynomial Gram Reduction for Defect-Three Collatz Kernels

Javier Muñoz Romero
Zenodo (CERN European Organization for Nuclear Research)
Benford’s Law and Fraud Detection
preprint

A Collision-Safe 21-Polynomial Gram Reduction for Defect-Three Collatz Kernels

Javier Muñoz Romero
preprint en

Abstract

A low-defect approach to hypothetical Collatz cycles leads, on the boundary branch h3 = s, to a cyclic operator with a seven-term Laurent kernel. After imposing η^−s = 2/3, two cyclic coincidences reduce this kernel to six atoms. Its Gram autocorrelation therefore contains 36 ordered-pair contributions. We prove that these contributions admit an exact grouping into 21 symbolic shift classes and, crucially, that the grouping remains valid when different symbolic classes collide in Z/sZ. Each class mass is then identified with an explicit low-degree polynomial in η, u1 = η^−h1 and u2 = η^−h2. The 21 polynomials are further identified with the 18-monomial integer coefficient table used by an existing compressed certificate checker: after multiplication by 9, their coefficients agree exactly with the stored Kronecker encodings. We also prove injectivity of that signed Kronecker packing for length-18 coefficient rows under the bounds used by the checker. The central algebraic statements are machine-checked in Lean 4.28.0 with Mathlib 4.28.0; the archived proof leaves contain no sorry, admit, or project-specific axioms. An independent exact Python replay gives 378/378 ordinary coefficient matches. This note is deliberately limited in scope. It does not prove the Collatz conjecture, and it does not complete the defect-three exclusion. The remaining step is to connect the per-class compressed transformed-diagonal certificates to the corresponding real cyclic Gram entries and then instantiate the final local determinant capstone.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Benford’s Law and Fraud Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.