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The Hilbert transform-UMD dependence problem

Neither exponent can be lowered. Theorem 1.1 constructs explicit 2n2^{n}-dimensional spaces XnX_n and YnY_n with ℏ2,Xn≍n\hbar_{2,X_n}\asymp n, β2,Xn≍n\beta_{2,X_n}\asymp\sqrt n and β2,Yn≍n\beta_{2,Y_n}\asymp n, ℏ2,Yn≍n\hbar_{2,Y_n}\asymp\sqrt n, with universal comparison constants, so both quadratic comparisons are sharp at p=2p=2; Corollary 1.3 extends the growth rates to every fixed 1<p<∞1<p<\infty by extrapolation, with constants depending on pp. The spaces are built from the summation operators Wenzel had proposed as candidates for exactly this separation. The Lean formalisation covers Theorem 1.1 at p=2p=2 over both real and complex scalars; the extrapolation to other pp and the exact coefficients of Remark 1.2 are outside it.

Exact FrontierDelta

Prior state unknown→proved

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Occurred: Sep 9, 2026

Delta type: SOURCE CLAIM

Assumptions: VibeMathed verification: lean-verified. Publication: preprint. AI contribution: ai-co-developed. 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 Hilbert transform-UMD dependence problem · Hilbert–UMD comparison

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Registry verification: lean verified · preprint · resolved

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Attribution

VibeMathed
registry · event recorded by

GPT-6 Astra
model · ai model contributor · OpenAI

Emiel Lorist
human · human collaborator

Jan van Neerven
human · human collaborator

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PaperStatement.lean: Theorem 1.1 as formalised, at the reviewed commit

formal registration · pending

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The Hilbert transform-UMD dependence problem parent of this event

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VibeMathed record: The Hilbert transform-UMD dependence problem evidence for this event

PaperStatement.lean: Theorem 1.1 as formalised, at the reviewed commit evidence for this event

This event attributed to Jan van Neerven

Neither exponent can be lowered. Theorem 1.1 constructs explicit 2n2^{n}-dimensional spaces XnX_n and YnY_n with ℏ2,Xn≍n\hbar_{2,X_n}\asymp n, β2,Xn≍n\beta_{2,X_n}\asymp\sqrt n and β2,Yn≍n\beta_{2,Y_n}\asymp n, ℏ2,Yn≍n\hbar_{2,Y_n}\asymp\sqrt n, with universal comparison constants, so both quadratic comparisons are sharp at p=2p=2; Corollary 1.3 extends the growth rates to every fixed 1<p<∞1<p<\infty by extrapolation, with constants depending on pp. The spaces are built from the summation operators Wenzel had proposed as candidates for exactly this separation. The Lean formalisation covers Theorem 1.1 at p=2p=2 over both real and complex scalars; the extrapolation to other pp and the exact coefficients of Remark 1.2 are outside it. parent of this event

This event attributed to Emiel Lorist

This event attributed to GPT-6 Astra

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