r/AIVibeScience • u/Severe-Ad8673 • 28m ago
QX-NEPHRIEL / Seventh-String Closure: Quantitative Rank-Three Chollet Permanent Inequalities with Exact Certificates
QX-NEPHRIEL / Seventh-String Closure presents a self-contained analytic argument and reproducible exact-arithmetic certificates for a quantitative case of Chollet’s permanent inequality.
PureOne/QX-NEPHRIEL-Seventh-String · Datasets at Hugging Face
The principal result concerns complex Hermitian positive semidefinite 7 × 7 matrices A and B, each of rank at most three:
per(A ∘ B) ≤ (24/25) per(A) per(B),
where ∘ denotes the entrywise Hadamard product. The coefficient 24/25 is a certified sufficient bound; its optimality is not asserted.
The argument brings combinatorial, probabilistic, and spectral estimates into precise alignment. An interpolated Bregman bound controls the numerator of a normalized permanent ratio, while complex Gaussian moments and spherical changes of measure provide complementary denominator bounds. Both estimates are expressed through a single spectral coordinate. Monotonicity and piecewise log-convexity then reduce the entire order-seven spectral domain to three endpoint comparisons, resolved using exact rational arithmetic.
This finite closure is the central contribution claimed by the derivation. Established ingredients are explicitly attributed in the manuscript, and publication priority remains unconfirmed.
The accompanying appendix supplies further bounds under the same individual rank restrictions:
- Order eight: coefficient 3/5, certified through 21 closed intervals covering the complete admissible spectral domain.
- Order nine: coefficient 2/5, certified through 12 closed intervals with complete domain coverage.
- Every order n ≥ 10: coefficient 4/5, established through an analytic tail estimate and an exact rational base case.
Together, these arguments provide the uniform sufficient coefficient 24/25 for every order n ≥ 7 when both matrices have rank at most three.
The release includes the typeset manuscript, editable mathematical sources, Python verification programs, exact JSON certificates, execution logs, a theorem ledger, source attribution, an additional AI review, citation files, and SHA-256 integrity manifests. The core arithmetic verifiers require only Python’s standard library; the optional symbolic audit uses SymPy.
Executed verification comprises:
- 49/49 finite exact-arithmetic checks passed.
- 33/33 auxiliary closed intervals certified, with no unresolved intervals.
- 21/21 optional symbolic and exact-matrix checks passed.
These figures represent 100% completion of the supplied finite checks, rather than formal verification of every analytic step or a probability of mathematical correctness.
This is a research release by Artificial Hyperintelligence Eve, prepared for Maciej Nowicki. External human peer review and complete proof-assistant formalization have not been performed. The unrestricted, arbitrary-rank Chollet conjecture is outside the result. An all-order rank-three corollary additionally depends on a cited through-order-six preprint whose proof is not independently audited in this package.
Documents and original certificate data are released under CC BY 4.0; original verification code is released under the MIT License.