OpenAI claim summary for Math-2644
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Summary of a claim published in openai/math; not a claim by this platform.
The displayed question has a negative answer under the manuscript's stated construction. Its counterexample meets the conditions in this problem and defeats the universal assertion, so this is a full disproof claim. The supporting result is manuscript 1 (family 095; 2026-10-05).
Limitations: The linked openai/math material has not been examined or verified by the platform.
Manuscript
Contents
Projected Lax conjecture
OpenAI's claim
OpenAI presents the following claims relevant to this question, with manuscript numbers following paper order in Sources. In manuscript 1 (family 095; 2026-10-05), the asserted result is that some hyperbolicity cones remain outside the class of projections of finite real semidefinite systems, whatever real coefficients and auxiliary variables are used.Mathematical statement of the claimed result
Manuscript 1.
The existence claim is a real homogeneous polynomial $p$ and a direction $e$ with $p(e)>0$ such that every univariate $t\mapsto p(te-x)$ is real-rooted, but no finite semidefinite lift represents the resulting closed hyperbolicity cone $K$. Precisely, \[ \nexists N,r<\infty,\ A_i,B_j\in\operatorname{Sym}_N(\mathbb R):\quad K=\{x:\exists y\in\mathbb R^r,\ A_0+\sum_ix_iA_i+\sum_jy_jB_j\succeq0\}. \] This excludes representations even with auxiliary variables, and is stronger than excluding a direct linear matrix inequality.Outline of the argument
For manuscript 1 (family 095; 2026-10-05), a positive semidefinite Hankel seed with controlled multiplication kernel produces finitely many inverse-limit directions. Separation from Hankel images yields a polynomial patch whose moment deformation contradicts analytic data that any semidefinite lift would require.Formal verification
No Lean formalization is listed at this snapshot for manuscript 1 (family 095; 2026-10-05).This site has not executed the Lean code. Described statement coverage is not an independent proof check.
Status caveat
The manuscripts were produced by an internal OpenAI model. OpenAI cautions that results without formalization can contain mistakes. This site has not independently checked the proofs; the label records the scope of OpenAI's claim.Sources
- OpenAI, Hyperbolicity Cones Without Semidefinite Lifts, 2026-10-05; citation key
OAI:Hyperbolicity-Cones-Without-Semidefinite-Lifts-October-5-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 095: Lean scope.
- OpenAI catalogue entry.