The generalized Lax conjecture holds for mixed determinants

Contributed by Suvrit Sra ↗

Version 1 / Nov 05, 2026 / CC BY 4.0

Abstract

We prove that the mixed determinant η(⋅)\eta(\cdot) of Borcea and Brändén has a spectrahedral hyperbolicity cone. More precisely, for Hermitian matrices A1,…,AmA_1,\ldots,A_m of order dd, the hyperbolicity cone of η(A1,…,Am)\eta(A_1,\ldots,A_m) is cut out by ∑jΦj(Aj)⪰0\sum_j\Phi_j(A_j)\succeq0, where Φ1,…,Φm\Phi_1,\ldots,\Phi_m are explicit unital completely positive maps. We argue by induction on dd, adding one row and one column to every argument and expressing the logarithmic derivatives of η\eta as extremal eigenvalues. By compressing along polynomial boundary kernels, we reduce the order of the pencil ∑jΦj(Aj)\sum_j\Phi_j(A_j) to exp⁡(O(md3log⁡m))\exp(O(md^3\log m)); for one fixed positive semidefinite n×nn\times n matrix AA a separate pencil yields the order exp⁡(O(n2log⁡n))\exp(O(n^2\log n)). We also answer four problems of Borcea and Brändén negatively.

Provenance statement

The results in this paper were developed through extensive use of AI assistants. None of the claims were obtained zero-shot: they emerged through sustained back-and-forth discussion, including failed attempts, counterexamples, audits, and repairs. Earlier attempts with OpenAI's GPT Astra (Pro) to extend Brändén's matrix–tree argument (Brändén, 2014) to the fixed-matrix polynomial η(z₁A, …, zₙA) did not produce a proof. The investigation then searched for a counterexample, adapting the norm obstruction of OpenAI (2026) to the cubic of Appendix D; restricted Clifford and exceptional-Jordan-algebra ansatzes and a sextic square-domination candidate were also explored. The obstruction proved valid for pure powers but not for cones, and the author's suggestion to regard the mixed determinant as an “overgrown elementary symmetric polynomial” turned the search back to the positive direction, where GPT Astra (Pro) found the construction of Theorem 1.1. The search contributed the decision to permit determinant multipliers, to use extremal eigenvalues rather than traces, and to preserve linear rank-one factorizations at every step of the induction. The counterexamples of Appendix C come from an earlier, separate investigation (Sra, 2026). Those for Problems 35 and 38 were found with GPT-5 Pro in January 2026 and those for Problems 36 and 37 with GPT-5.6 Pro in July 2026; Anthropic's Claude (Opus 5) isolated the Schur-positive witness for Problem 37 in August 2026, and the author formalized and audited all four. For this version, Claude (Opus 5.5) recomputed every expansion, minor, and inequality of Appendix C in exact arithmetic. The finite exact checks mentioned in Section 3.4 and Appendix D were run within the same AI-assisted workflow and were not rerun for this version. Anthropic's Claude (Opus 5.5) prepared the manuscript before the compression bounds were added, and Anthropic's Claude (Fable 5.1) revised the presentation of the whole manuscript in this version. OpenAI's Codex developed and integrated the bounds in Section 4, and the specialization bounds in Appendix B and in the supplement, including the cubic resolvent construction and its decomposable continuation, independent assistant audits, and exact checks of the polynomial-kernel identities, degree bounds, coefficient ranks, and signed Kraus decompositions. A subsequent dimension-optimization package supplied the additional scalar bounds and the sharp constant-compression example in Section 5.1 and in the supplement. Its exact checks of the cubic pencil and of the induction, and its finite-field rank, smoothness, and corank certificates were rerun during integration. Assistant checks are not external peer review or formal verification. The main text has not yet been vetted line by line by the author.

Tools used

OpenAI
GPT Astra (Pro)
OpenAI
GPT-5 Pro and GPT-5.6 Pro
OpenAI
Codex
Anthropic
Claude Opus 5, Opus 5.5 and Fable 5.1

References

  1. Nima Amini. Spectrahedrality of hyperbolicity cones of multivariate matching polynomials. Journal of Algebraic Combinatorics , 50 0 (2): 0 165--190, 2019. 10.1007/s10801-018-0848-9.DOI
  2. Grigoriy Blekherman, Mario Kummer, Raman Sanyal, Kevin Shu, and Shengding Sun. Linear principal minor polynomials: hyperbolic determinantal inequalities and spectral containment. International Mathematics Research Notices , 2023: 0 21346--21380, 2023. 10.1093/imrn/rnac291. Section numbers refer to arXiv:2112.13321v1 (https://arxiv.org/abs/2112.13321v1).arXivDOI
  3. Julius Borcea and Petter Br ä nd é n. Applications of stable polynomials to mixed determinants: J ohnson's conjectures, unimodality, and symmetrized F ischer products. Duke Mathematical Journal , 143 0 (2): 0 205--223, 2008. 10.1215/00127094-2008-018. Theorem numbers refer to arXiv:math/0607755v5 (https://arxiv.org/abs/math/0607755v5).arXivDOI
  4. Julius Borcea, Petter Br ä nd é n, George Csordas, and Victor Vinnikov. P ó lya-- S chur-- L ax problems: hyperbolicity and stability preservers. Workshop summary and problem list, American Institute of Mathematics, 2007. AIM workshop no. 92, https://aimath.org/workshops/polyaschurlax/; the report, formerly at https://www.aimath.org/pastworkshops/polyaschurlaxrep.pdf, is archived at the Internet Archive (https://web.archive.org/web/20260903021424/https://www.aimath.org/pastworkshops/polyaschurlaxrep.pdf).link
  5. Petter Br ä nd é n. Obstructions to determinantal representability. Advances in Mathematics , 226 0 (2): 0 1202--1212, 2011. 10.1016/j.aim.2010.08.003. Theorem numbers refer to arXiv:1004.1382v3 (https://arxiv.org/abs/1004.1382v3).arXivDOI
  6. Petter Br ä nd é n. Hyperbolicity cones of elementary symmetric polynomials are spectrahedral. Optimization Letters , 8 0 (5): 0 1773--1782, 2014. 10.1007/s11590-013-0694-6. arXiv:1204.2997v2 (https://arxiv.org/abs/1204.2997v2).arXivDOI
  7. J William Helton and Victor Vinnikov. Linear matrix inequality representation of sets. Communications on Pure and Applied Mathematics , 60 0 (5): 0 654--674, 2007. 10.1002/cpa.20155. Theorem and section numbers refer to arXiv:math/0306180 (https://arxiv.org/abs/math/0306180).arXivDOI
  8. Charles R. Johnson. The permanent-on-top conjecture: a status report. In Frank Uhlig and Robert Grone, editors, Current Trends in Matrix Theory ( A uburn, A la., 1986) , pages 167--174. North-Holland, New York, 1987.
  9. Charles R. Johnson. Research problem: A characteristic polynomial for matrix pairs. Linear and Multilinear Algebra , 25 0 (4): 0 289--290, 1989. 10.1080/03081088908817954.DOI
  10. Mario Kummer. A note on the hyperbolicity cone of the specialized Vámos polynomial. Acta Applicandae Mathematicae , 144: 0 11--15, 2016. 10.1007/s10440-015-0036-z. Section numbers refer to arXiv:1306.4483v2 (https://arxiv.org/abs/1306.4483v2).arXivDOI
Show all 20 referencesShow fewer references
  1. Mario Kummer. Spectral linear matrix inequalities. Advances in Mathematics , 384: 0 107749, 2021. 10.1016/j.aim.2021.107749. Theorem and section numbers refer to arXiv:2008.13452v2 (https://arxiv.org/abs/2008.13452v2).arXivDOI
  2. Mario Kummer and Tim Netzer. The generalized Lax conjecture for strictly hyperbolic polynomials, 2026. Theorem numbers refer to arXiv:2609.24542v1 (https://arxiv.org/abs/2609.24542v1).arXiv
  3. Mario Kummer, Daniel Plaumann, and Cynthia Vinzant. Hyperbolic polynomials, interlacers, and sums of squares. Mathematical Programming , 153 0 (1): 0 223--245, 2015. 10.1007/s10107-013-0736-y. Theorem and section numbers refer to arXiv:1212.6696v2 (https://arxiv.org/abs/1212.6696v2).arXivDOI
  4. Peter D. Lax. Differential equations, difference equations and matrix theory. Communications on Pure and Applied Mathematics , 11 0 (2): 0 175--194, 1958. 10.1002/cpa.3160110203.DOI
  5. Adrian S. Lewis, Pablo A. Parrilo, and Motakuri V. Ramana. The L ax conjecture is true. Proceedings of the American Mathematical Society , 133 0 (9): 0 2495--2499, 2005. 10.1090/S0002-9939-05-07752-X.DOI
  6. OpenAI . A nonspectrahedral hyperbolicity cone, 2026. Preprint, 24 September 2026. Manuscript in the OpenAI math repository (https://github.com/openai/math/blob/main/preprints/A-Nonspectrahedral-Hyperbolicity-Cone-September-24-2026/nonspectrahedral-hyperbolicity-cone.pdf).link
  7. James Saunderson. A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone. Optimization Letters , 12 0 (7): 0 1475--1486, 2018. 10.1007/s11590-018-1246-x. Theorem and section numbers refer to arXiv:1707.09150v2 (https://arxiv.org/abs/1707.09150v2).arXivDOI
  8. James Saunderson and Pablo A. Parrilo. Polynomial-sized semidefinite representations of derivative relaxations of spectrahedral cones. Mathematical Programming , 153 0 (2): 0 309--331, 2015. 10.1007/s10107-014-0804-y. Theorem numbers refer to arXiv:1208.1443v4 (https://arxiv.org/abs/1208.1443v4).arXivDOI
  9. Suvrit Sra. GPT , the C ounterexample M achine. arXiv:2608.29595, 2026. Code and certificates: https://github.com/suvrit/count-ex-machina.arXiv
  10. Ian M. Wanless. Lieb's permanental dominance conjecture. In Rupert L. Frank, Ari Laptev, Mathieu Lewin, and Robert Seiringer, editors, The Physics and Mathematics of E lliott L ieb, Vol. II , pages 501--516. EMS Press, 2022. 10.4171/90-2/48. Section numbers refer to arXiv:2202.01867v1 (https://arxiv.org/abs/2202.01867v1).arXivDOI

Version history

  1. v1 · 31 pagesSubmitted by Suvrit SraInitial depositCurrentNov 05, 2026