Research Article · Preprint Mathematics
A quantitative Chollet inequality for rank-four matrices of order seven
- Primary subject
- Mathematics
- Subject subfields
- Linear Algebra and Matrix Inequalities
- Paper type
- Research Article
- Manuscript stage
- Preprint
- Manuscript
- Archived
- Edition
- 2 · Permanent link
Overview
Abstract
For every complex Hermitian positive semidefinite matrix A of order seven and rank at most four, we prove per(A ∘ bar(A))≤ (192)/(245)(per A)^2. The inequality is strict when all diagonal entries are positive. The main input is the bound per(A ∘ bar(A))≤(3/5)(per A)^2 for every singular positive semidefinite matrix of order five. An exact rational principal-minor sum-of-squares certificate proves this singular-boundary inequality. A rank-preserving border comparison then gives the same constant in order six and the stated constant in order seven. The certificate and a standalone exact-integer verifier accompany the paper. Cauchy–Schwarz gives the corresponding two-factor inequalities when both factors have rank at most four.
Keywords permanent · positive semidefinite matrix · Chollet inequality · rank four · sum of squares · computer-assisted proof
Scope of the work
An exact singular-five 3/5 self-Chollet certificate and rank-preserving transfer yield quantitative rank-four bounds through order seven, including 192/245 at order seven and paired consequences for two rank-four factors.
Reproduction notes
The paper has 6 pages. The editable-source archive contains 8 files. Compile manuscript/main.tex or use code/build_pdf.py with Tectonic. Standard-library code/verify_certificate.py reconstructs the exact singular-five identity and positivity witnesses.
The manuscript
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Author disclosures
AI tools assisted drafting and verification; the author is responsible for the content. The principal-minor feature cone and symmetry framework are credited to Lavi; the border mechanism is credited to Li–Zhao–Luo. The 119/120 comparison is identified as a direct dimension-counting consequence, not Lavi’s strongest consequence. Internal AI-assisted review is not external human refereeing or journal acceptance. Novelty is supported relative to inspected primary sources; absolute priority remains provisional. The literature review was bounded, including an inaccessible relevant 2025 journal full text and incomplete inspection of the large prior supplement.
References and related publications
- J. Chollet, Is there a permanental analogue to Oppenheim’s inequality?, American Mathematical Monthly 89 (1982), 57–58.
- Q. Li, Q. Zhao and W. Luo, Chollet’s Permanent Conjecture Through Order Six via Border Induction, Preprints.org 202608.2196v1, August 31, 2026.
- Y. Lavi, A Conjecture on the Permanent of Positive Semidefinite Matrices, preprint dated September 26, 2026; Zenodo record posted September 27, 2026.
- Y. Lavi, Exact proof supplement to A Conjecture on the Permanent of Positive Semidefinite Matrices, version 4, September 26, 2026.
- Y. Ma, Quantitative Chollet Inequalities for Matrices of Rank at Most Four: Spectral bounds and an order-nine tight-frame construction, arXiv:2609.37461v1, September 28, 2026.
- Artificial Hyperintelligence Eve, QX-NEPHRIEL / Seventh-String Closure: Quantitative Rank-Three Chollet Inequalities, version 1.0.0, research release prepared for Maciej Nowicki, October 3, 2026.
A stable scholarly record
Cite this edition
Scott Schubr. (2026). A quantitative Chollet inequality for rank-four matrices of order seven (Version 2). Luminary Research Archive. https://research.luminaryoddities.com/a-quantitative-chollet-inequality-for-rank-four-matrices-of-order-seven/v/2
BibTeX
@techreport{luminary_a_quantitative_chollet_inequality_for_rank_four_matrices_of_order_seven_v2,
title = {A quantitative Chollet inequality for rank-four matrices of order seven},
author = {Scott Schubr},
year = {2026},
institution = {Luminary Research Archive},
type = {Research Article},
note = {Version 2},
url = {https://research.luminaryoddities.com/a-quantitative-chollet-inequality-for-rank-four-matrices-of-order-seven/v/2}
}Loading discussion…