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arxiv: 2606.23632 · v1 · pith:PAPBQFXBnew · submitted 2026-06-22 · 🧮 math.MG · cs.IT· math.IT

Sharp Inequalities for Products of Principal Minors of Positive Definite Matrices

Pith reviewed 2026-06-26 05:37 UTC · model grok-4.3

classification 🧮 math.MG cs.ITmath.IT
keywords positive definite matricesprincipal minorsIngleton ratiosharp inequalitiesnonconvex optimizationsemialgebraic sets
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The pith

Closed-form solutions exist for a family of nonconvex optimization problems over the positive definite cone, yielding the exact infimum 16/27 for the Ingleton ratio in dimension 4.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper solves a family of nonconvex optimization problems that seek the greatest lower bounds on ratios of products of principal minors for real positive definite matrices. One direct consequence is an exact value of 16/27 for the infimum of the Ingleton ratio on 4 by 4 matrices, confirming an earlier conjecture. The same technique shows that the cone of all absolutely bounded such ratios fails to be polyhedral when the matrix size reaches 4 and is not semialgebraic over the rationals.

Core claim

Our main result gives a closed-form solution to a family of nonconvex optimization problems over the positive definite cone. As a special case, we prove that the infimum of the Ingleton ratio over 4×4 positive definite matrices is 16/27, confirming a conjecture of Hall and Johnson. We also show that the cone of absolutely bounded ratios of products of principal minors is not polyhedral for n≥4, and that it is not semialgebraic over Q.

What carries the argument

Closed-form solutions to nonconvex optimization problems over the positive definite cone, obtained by exploiting the algebraic structure of principal minors.

If this is right

  • The Ingleton ratio on 4 by 4 positive definite matrices is bounded below by exactly 16/27.
  • The cone of absolutely bounded ratios of principal-minor products is not polyhedral once the dimension is at least 4.
  • The same cone is not semialgebraic over the field of rational numbers.
  • Other members of the family of ratio-optimization problems over the positive definite cone likewise possess closed-form solutions.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The algebraic approach may produce exact bounds for additional families of minor-product ratios in dimensions greater than 4.
  • The demonstrated failure of semialgebraicity over Q indicates that exact descriptions of the cone will generally require transcendental or non-rational coefficients.

Load-bearing premise

The family of nonconvex optimization problems over the positive definite cone admits analytically derivable closed-form solutions based on the algebraic structure of principal minors.

What would settle it

Exhibiting a single 4 by 4 positive definite matrix whose Ingleton ratio is strictly less than 16/27 would falsify the claimed infimum.

Figures

Figures reproduced from arXiv: 2606.23632 by Ludovick Bouthat, Tobias Boege.

Figure 1
Figure 1. Figure 1: The Wings of Ingleton — The gray convex body is the set of all positive definite 4 × 4 matrices of the form (16) in (t α, t, tβ )-space. The colored region consists of all points on which [φ] < 1. Points are colored on a linear gradient according to their value under [φ] from blue (close to 1) to red (close to 16/27). Lemma 4.6. For every Σ ∈ PD4, there exists Σ ′ ∈ PD4 of the form (17) Σ ′ =   1 a b c… view at source ↗
read the original abstract

We study sharp inequalities for ratios of products of principal minors of real positive definite matrices. Our main result gives a closed-form solution to a family of nonconvex optimization problems over the positive definite cone. As a special case, we prove that the infimum of the Ingleton ratio over $4\times 4$ positive definite matrices is $16/27$, confirming a conjecture of Hall and Johnson. We also show that the cone of absolutely bounded ratios of products of principal minors is not polyhedral for $n\ge 4$, and that it is not semialgebraic over $\mathbb{Q}$.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. The manuscript studies sharp inequalities for ratios of products of principal minors of real positive definite matrices. The main result provides closed-form solutions to a family of nonconvex optimization problems over the positive definite cone. As a special case, it proves that the infimum of the Ingleton ratio over 4×4 positive definite matrices is 16/27, confirming a conjecture of Hall and Johnson. It further shows that the cone of absolutely bounded ratios of products of principal minors is not polyhedral for n≥4 and not semialgebraic over Q.

Significance. If the derivations hold, this work resolves an open conjecture with an explicit constant and provides structural results on the geometry of certain cones associated with principal minors. The closed-form solutions to the optimization problems represent a notable achievement in handling nonconvex problems over the PD cone. The demonstration that the cone is not polyhedral or semialgebraic adds to the understanding of its complexity. These results could impact areas like optimization, matrix analysis, and algebraic geometry.

minor comments (2)
  1. [Introduction] The definition of the Ingleton ratio could benefit from an explicit formula early in the paper to aid readers unfamiliar with the term.
  2. [§3] Some equations in the optimization section use notation that is introduced later; consider reordering for clarity.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the careful reading and positive assessment of the manuscript, including the recommendation for minor revision. No specific major comments were listed in the report.

Circularity Check

0 steps flagged

No significant circularity; derivation self-contained against external conjecture

full rationale

The paper's central claim is a closed-form solution to a family of optimization problems over the positive definite cone, with the Ingleton ratio infimum of 16/27 presented as confirmation of an external conjecture by Hall and Johnson. The abstract and available description frame the work as an independent algebraic result without reference to fitted parameters, self-definitional ratios, or load-bearing self-citations. No equations or derivation steps are supplied that reduce the claimed infimum or closed-form solutions to inputs by construction. Per the hard rules, absence of quotable reductions means the finding is no circularity (score 0).

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The work rests on the standard definition and properties of the real positive definite cone and its principal minors; no free parameters, new entities, or ad-hoc axioms are introduced in the abstract.

axioms (1)
  • domain assumption The set of real positive definite matrices is an open convex cone in which all principal minors are positive.
    The optimization domain and the ratio functions are defined using this standard property from linear algebra.

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Works this paper leans on

43 extracted references · 21 canonical work pages

  1. [1]

    Abeer Al Ahmadieh, Felipe Rincón, Cynthia Vinzant, and Josephine Yu.Tropicalizing Principal Minors of Positive Definite Matrices. 2025. arXiv:2410.11220 [math.CO]

  2. [2]

    Saugata Basu, Richard Pollack, and Marie-Françoise Roy.Algorithms in Real Algebraic Geometry. 2nd ed. Vol. 10. Algorithms and Computation in Mathematics. Springer, 2006

  3. [3]

    Positive Definite Completion Problems for Bayesian Networks

    Emanuel Ben-David and Bala Rajaratnam. “Positive Definite Completion Problems for Bayesian Networks”. In:SIAM Journal on Matrix Analysis and Applications33.2 (2012), pp. 617–638.doi: 10.1137/110861051

  4. [4]

    No Eleventh Conditional Ingleton Inequality

    Tobias Boege. “No Eleventh Conditional Ingleton Inequality”. In:Experimental Mathematics33.4 (2024), pp. 808–816.doi: 10.1080/10586458.2023.2294827

  5. [5]

    Determinantal point processes

    Alexei Borodin. “Determinantal point processes”. In:The Oxford handbook of random matrix theory. Ed. by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2011, pp. 231–249

  6. [6]

    Balanced information inequalities

    Terence H. Chan. “Balanced information inequalities”. In:IEEE Trans. Inf. Theory49.12 (2003), pp. 3261–3267.doi: 10.1109/TIT.2003.820037

  7. [7]

    Entropy functions and determinant inequalities

    Terence H. Chan, Dongning Guo, and Raymond W. Yeung. “Entropy functions and determinant inequalities”. In:2012 IEEE International Symposium on Information Theory Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2012, pp. 1251–1255.doi: 10.1109/ISIT.2012. 6283057

  8. [8]

    Determinant inequalities via information theory

    Thomas M. Cover and Joy A. Thomas. “Determinant inequalities via information theory”. In:SIAM J. Matrix Anal. Appl.9.3 (1988), pp. 384–392.doi: 10.1137/0609033

  9. [9]

    Exploring the entropic region

    Laszlo Csirmaz. Exploring the entropic region. 2025. arXiv:2509.12439 [cs.IT]

  10. [10]

    Randall Dougherty, Chris Freiling, and Kenneth Zeger.Non-Shannon Information Inequalities in Four Random Variables. 2011. arXiv:1104.3602 [cs.IT]

  11. [11]

    Sur le septième problème de Hilbert

    A. O. Gel’fond. “Sur le septième problème de Hilbert”. In:Izvestiya Akademii Nauk SSSR7 (1934), pp. 623–630

  12. [12]

    Defining the almost-entropic regions by algebraic inequalities

    Arley Gómez, Carolina Mejía, and Juan Andrés Montoya. “Defining the almost-entropic regions by algebraic inequalities”. In:Int. J. Inf. Coding Theory4.1 (2017), pp. 1–18.doi: 10.1504/IJICOT. 2017.081456

  13. [13]

    How to Use Undiscovered Information Inequalities: Direct Applications of the Copy Lemma

    Emirhan Gürpınar and Andrei Romashchenko. “How to Use Undiscovered Information Inequalities: Direct Applications of the Copy Lemma”. In:2019 IEEE International Symposium on Information Theory (ISIT). Institute of Electrical and Electronics Engineers (IEEE), 2019, pp. 1377–1381.doi: 10.1109/ISIT.2019.8849309

  14. [14]

    Tracy Hall and Charles R

    H. Tracy Hall and Charles R. Johnson.Bounded Ratios of Products of Principal Minors of Positive Definite Matrices. 2008. arXiv:0806.2645 [math.CO]

  15. [15]

    Babak Hassibi and Sormeh Shadbakht.On the entropy region of Gaussian random variables. 2011. arXiv: 1112.0061 [cs.IT]

  16. [16]

    Horn and Charles R

    Roger A. Horn and Charles R. Johnson.Topics in matrix analysis. Cambridge University Press, 1991

  17. [17]

    Horodecki , author P

    Ryszard Horodecki, Paweł Horodecki, Michał Horodecki, and Karol Horodecki. “Quantum entangle- ment”. In:Rev. Mod. Phys.81.2 (2009), pp. 865–942.doi: 10.1103/RevModPhys.81.865

  18. [18]

    Representation of matroids

    Aubrey W. Ingleton. “Representation of matroids”. In:Combinatorial Mathematics and its Applica- tions. Proceedings of a Conference held at the Mathematical Institute, Oxford, from 7–10 July, 1969. Ed. by Dominic J. A. Welsh. 1971, pp. 149–167

  19. [19]

    Determinantal inequalities for positive definite matrices

    Charles R. Johnson and Wayne W. Barrett. “Determinantal inequalities for positive definite matrices”. In: Discrete Math.119.1-3 (1993), pp. 97–106.doi: 10.1016/0012-365X(93)90119-E

  20. [20]

    Conditional information inequalities for entropic and almost entropic points

    Tarik Kaced and Andrei Romashchenko. “Conditional information inequalities for entropic and almost entropic points”. In:IEEE Trans. Inf. Theory59.11 (2013), pp. 7149–7167.issn: 0018-9448. doi: 10.1109/TIT.2013.2274614

  21. [21]

    In: European Confer- enceonComputerVision(ECCV)(2022).https://doi.org/10.1007/978-3-031- 19842- 7_7,https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/ 136990106.pdf

    ToghrulKarimov,JorisNieuwveld,JoëlOuaknine,MihirVahanwala,andJamesWorrell.“Algorithmic Applications of Schanuel’s Conjecture”. In:Principles of Formal Quantitative Analysis: Essays Dedicated to Christel Baier on the Occasion of Her 60th Birthday. Ed. by Nathalie Bertrand, Clemens Dubslaff, and Sascha Klüppelholz. Springer, 2026, pp. 118–138.doi: 10.1007/9...

  22. [22]

    How to use cylindrical algebraic decomposition

    Manuel Kauers. “How to use cylindrical algebraic decomposition”. In:Sémin. Lothar. Comb.65 (2010). REFERENCES 21

  23. [23]

    Apoorva Khare.Matrix analysis and entrywise positivity preservers. Vol. 471. London Mathematical Society Lecture Note Series. With a foreword by Mihai Putinar. Cambridge University Press, Cambridge, 2022, pp. xxii+292.isbn: 978-1-108-79204-2; [9781108867122]

  24. [24]

    On entropic and almost multilinear representability of matroids

    Lukas Kühne and Geva Yashfe. “On entropic and almost multilinear representability of matroids”. In: Duke Math. Journal(2026)

  25. [25]

    From log-determinant inequalities to Gaussian entanglement via recoverability theory

    Ludovico Lami, Christoph Hirche, Gerardo Adesso, and Andreas Winter. “From log-determinant inequalities to Gaussian entanglement via recoverability theory”. In:IEEE Trans. Inf. Theory63.11 (2017), pp. 7553–7568.issn: 0018-9448. doi: 10.1109/TIT.2017.2737546

  26. [26]

    Jean Bernard Lasserre.An introduction to polynomial and semi-algebraic optimization. Camb. Texts Appl. Math. Cambridge University Press, 2015.doi: 10.1017/CBO9781107447226

  27. [27]

    Undecidability of network coding, conditional information inequalities, and con- ditional independence implication

    Cheuk Ting Li. “Undecidability of network coding, conditional information inequalities, and con- ditional independence implication”. In:IEEE Trans. Inf. Theory69.6 (2023), pp. 3493–3510.doi: 10.1109/TIT.2023.3247570

  28. [28]

    On the tightness of the Zhang-Yeung inequality for Gaussian vectors

    Radim Lněnička. “On the tightness of the Zhang-Yeung inequality for Gaussian vectors”. In:Commun. Inf. Syst.3.1 (2003), pp. 41–46.issn: 1526-7555. doi: 10.4310/CIS.2003.v3.n1.a3

  29. [29]

    On the decidability of the real exponential field

    Angus J. Macintyre and Alex J. Wilkie. “On the decidability of the real exponential field”. In: Kreiseliana: About and around Georg Kreisel. Ed. by Piergiorgio Odifreddi. A. K. Peters, 1996, pp. 441–467.isbn: 1-56881-061-X

  30. [30]

    Model theory and exponentiation

    David Marker. “Model theory and exponentiation”. In:Notices Am. Math. Soc.43.7 (1996), pp. 753– 759

  31. [31]

    Infinitely many information inequalities

    František Matúš. “Infinitely many information inequalities”. In:Proceedings of the 2007 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers (IEEE), 2007, pp. 41–44.doi: 10.1109/ISIT.2007.4557201

  32. [32]

    Conditional independences among four random variables. I

    František Matúš and Milan Studený. “Conditional independences among four random variables. I”. In: Combin. Probab. Comput.4.3 (1995), pp. 269–278.doi: 10.1017/S0963548300001644

  33. [33]

    Rostislav Matveev and Andrei Romashchenko.Structural Properties of Entropic Vectors and Stability of the Ingleton Inequality. 2025. arXiv:2512.02767 [cs.IT]

  34. [34]

    G-varieties and the principal minors of symmetric matrices

    Luke Oeding. “G-varieties and the principal minors of symmetric matrices”. PhD thesis. Texas A&M University, 2009

  35. [35]

    Transzendenzuntersuchungen periodischer Funktionen. I. Transzendenz von Potenzen

    Theodor Schneider. “Transzendenzuntersuchungen periodischer Funktionen. I. Transzendenz von Potenzen”. In:Journal für die reine und angewandte Mathematik172 (1935), pp. 65–69

  36. [36]

    Probabilistic conditional independence structures

    Milan Studený. Probabilistic conditional independence structures. Inf. Sci. Stat. Springer, 2005

  37. [37]

    Conditional independence structures over four discrete random variables revisited: conditional ingleton inequalities

    Milan Studený. “Conditional independence structures over four discrete random variables revisited: conditional ingleton inequalities”. In:IEEE Trans. Inf. Theory67.11 (2021), pp. 7030–7049.issn: 0018-9448. doi: 10.1109/TIT.2021.3104250

  38. [38]

    Thorsten Theobald.Real algebraic geometry and optimization. Vol. 241. Grad. Stud. Math. American Mathematical Society (AMS), 2024.doi: 10.1090/gsm/241

  39. [39]

    Mathematica

    Wolfram Research, Inc. Mathematica. Champaign, IL. Version 13.3. 2023

  40. [40]

    Geva Yashfe.On the recognition problem for limits of entropy functions. 2025. arXiv:2509.06302 [math.CO]

  41. [41]

    A primer on energy conditions

    Raymond W. Yeung.A first course in information theory. Information Technology: Transmission, Processing and Storage. Springer, 2005, pp. xxiv + 412.isbn: 0-306-46791-7. doi: 10.1007/978-1- 4419-8608-5

  42. [42]

    On characterization of entropy function via information inequalities

    Zhen Zhang and Raymond W. Yeung. “On characterization of entropy function via information inequalities.” In:IEEE Trans. Inf. Theory44.4 (1998), pp. 1440–1452.issn: 0018-9448. doi: 10. 1109/18.681320

  43. [43]

    Ziegler.Lectures on polytopes

    Günter M. Ziegler.Lectures on polytopes. Vol. 152. Grad. Texts Math. Springer, 1995.isbn: 3-540- 94365-X. doi: 10.1007/978-1-4613-8431-1. Department of Mathematics and Statistics, UiT The Arctic University of Nor w ay, Tromsø, Nor w ay Email address: post@taboege.de Département de mathématiques et statistiques, Université La v al, Québec, Canada Email add...