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The complete Crouzeix conjecture: the numerical range is a complete 2-spectral set

Shown: for every bounded operator AA on any complex Hilbert space (no separability assumed) and every matrix polynomial PP, ∥P[A]∥≤2sup⁡W(A)∥P∥\|P[A]\|\le2\sup_{W(A)}\|P\|, with 2 sharp; the same bound holds for finite matrix-valued functions holomorphic near W(A)‾\overline{W(A)} and for rational functions with poles outside it. For a matrix and an admissible convex domain containing W(A)W(A), an optimal similarity with condition number at most 2 makes the conformal image contractive, with one positive boundary density representing all matrix-valued analytic evaluations. It contains the scalar Crouzeix theorem as the case m=1m=1.

Exact FrontierDelta

Prior state unknown→proved

Scope and record

Occurred: Sep 23, 2026

Delta type: SOURCE CLAIM

Assumptions: VibeMathed verification: lean-checked. Publication: announcement. AI contribution: ai-discovered. VibeMathed editorial classifications, scores, notes, relations, and dataset structure are CC BY 4.0. Source statements and linked content retain their own rights.

Canonical aliases: The complete Crouzeix conjecture: the numerical range is a complete 2-spectral set · Complete Crouzeix conjecture

Confidence: Not scored

Registry verification: lean checked · announcement · candidate

Open the source record ↗

Attribution

VibeMathed
registry · event recorded by

Unreleased internal OpenAI model
model · ai model contributor · OpenAI

Artifacts and verifiers

Lean proof (OAI.CompleteCrouzeix.main)

lean artifact · pending

Artifact ↗
Comparator statement: CompleteCrouzeix.lean

lean artifact · pending

Artifact ↗
Comparator statement: CrouzeixHilbert.lean (operators on any Hilbert space)

lean artifact · pending

Artifact ↗
Lean proof of the operator version (OAI.CrouzeixHilbert.hilbert)

lean artifact · pending

Artifact ↗

Compute record

No linked compute attempts recorded.

Lineage and corrections

Shown: for every bounded operator AA on any complex Hilbert space (no separability assumed) and every matrix polynomial PP, ∥P[A]∥≤2sup⁡W(A)∥P∥\|P[A]\|\le2\sup_{W(A)}\|P\|, with 2 sharp; the same bound holds for finite matrix-valued functions holomorphic near W(A)‾\overline{W(A)} and for rational functions with poles outside it. For a matrix and an admissible convex domain containing W(A)W(A), an optimal similarity with condition number at most 2 makes the conformal image contractive, with one positive boundary density representing all matrix-valued analytic evaluations. It contains the scalar Crouzeix theorem as the case m=1m=1. parent of this event

Comparator statement: CompleteCrouzeix.lean evidence for this event

This event attributed to Unreleased internal OpenAI model

Companion: A direct proof of the complete Crouzeix inequality (Sept 26) evidence for this event

The complete Crouzeix conjecture: the numerical range is a complete 2-spectral set evidence for this event

Lean proof of the operator version (OAI.CrouzeixHilbert.hilbert) evidence for this event

The complete Crouzeix conjecture: the numerical range is a complete 2-spectral set parent of this event

Lean proof (OAI.CompleteCrouzeix.main) evidence for this event

VibeMathed record: The complete Crouzeix conjecture: the numerical range is a complete 2-spectral set evidence for this event

Comparator statement: CrouzeixHilbert.lean (operators on any Hilbert space) evidence for this event

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