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The complete Crouzeix theorem: optimal similarity and a common positive boundary representation

OpenAI · September 23, 2026

Lean

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Abstract

We resolve the complete Crouzeix conjecture by proving the sharp constant-two numerical-range inequality for every bounded operator on a complex Hilbert space and every matrix-valued polynomial. No separability assumption is needed. The closure of the numerical range is a complete 2-spectral set, and the bound extends to finite matrix-valued functions holomorphic near that closure. For a finite matrix and a bounded convex domain containing its numerical range with regular real-analytic Jordan boundary, the optimal similarity making its conformal disk image contractive is attained with condition number at most two. For the similar matrix, one continuous positive boundary density of mass the identity represents the evaluation of every matrix-valued function holomorphic near the closed domain.

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Automatically collected notes (unreviewed)

work in progress

Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-21) and not checked by a person. May be wrong or incomplete. Report an error.

Comments and discussion

  • Nic Berkopec, Crouzeix: Folie à Deux (Washington University in St. Louis analysis seminar, 2026-10-19). The seminar abstract notes that the earlier scalar proof methods do not extend directly to the completely bounded case and explicitly associates that case with the OpenAI release. [family-level]
  • trostaft on Hacker News, comment in the thread Sharing AI progress in mathematics (Hacker News, 2026-10-07). Brief comment naming family 325 among the release items of interest; the commenter says they have attended talks on the Crouzeix conjecture and suggests a connection to convergence rates for Krylov methods. [family-level]

Formalization

  • OpenAI / mathcommunity mirror, Lean scope notes for family 325: The complete Crouzeix conjecture (lean/docs/325.md, release of 2026-10-06). The release's own scope document; it lists comparator challenges for the complete polynomial inequality (CompleteCrouzeix.lean), the optimal similarity and boundary representation (StructuralCrouzeix.lean), the Hilbert-space version (CrouzeixHilbert.lean) and supporting numerical-range geometry (HilbertCrouzeix.lean), together with holomorphic and rational extensions. [family-level]
  • Beltran12138, oai-math-recheck (GitHub repository, October 2026). Independent re-run of the release's Lean files for family 325, including rebuilds of the CrouzeixHilbert, CompleteCrouzeix and StructuralCrouzeix statements and a check that the CompleteCrouzeix proof closes the DirectCrouzeix challenge; the README stresses that this is agreement between two OpenAI formalizations and that statement faithfulness remains a human judgement. [family-level]

Possibly relevant literature (found by the agent, not checked)

Digests and expositions

Elsewhere

Independent sites; their content is not reviewed here.

Cite

@misc{OAI:The-complete-Crouzeix-theorem-September-23-2026,
  author = {{OpenAI}},
  title = {{The complete Crouzeix theorem: optimal similarity and a common positive boundary representation}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/The-complete-Crouzeix-theorem-September-23-2026/paper.pdf}{OAI:The-complete-Crouzeix-theorem-September-23-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/325.md. The Lean statements have not been checked by people against the paper's claims.

Family 325: The complete Crouzeix conjecture

Resolves the complete Crouzeix conjecture: for every bounded operator A on a complex Hilbert space and every finite matrix-valued polynomial P, one has $\lVert P[A]\rVert\le2\sup_{z\in W(A)}\lVert P(z)\rVert$, where $W(A)$ is the numerical range. The constant 2 is sharp, independent of the matrix size, and valid in infinite dimensions.

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