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Artifact ↗Almost everywhere convergence of Fourier series in L log L
Theorem 1.1: for every complex-valued there is a null set with for , along the full sequence. The key estimate is a good-set bound for bounded densities of height , summed over height layers. The paper also deduces a weak- maximal inequality in Luxemburg norm. It does not address spaces strictly between and (where Konyagin's divergence results apply below ), nor lacunary or higher-dimensional analogues.
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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: Almost everywhere convergence of Fourier series in L log L · Fourier convergence in L log L
Confidence: Not scored
Registry verification: lean checked · announcement · candidate
Attribution
VibeMathed
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Unreleased internal OpenAI model
model · ai model contributor · OpenAI
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VibeMathed record: Almost everywhere convergence of Fourier series in L log L evidence for this event
Lean Comparator challenge FourierLLogL (OpenAI math release) evidence for this event
This event attributed to Unreleased internal OpenAI model
Almost everywhere convergence of Fourier series in L log L evidence for this event
Almost everywhere convergence of Fourier series in L log L parent of this event
Theorem 1.1: for every complex-valued there is a null set with for , along the full sequence. The key estimate is a good-set bound for bounded densities of height , summed over height layers. The paper also deduces a weak- maximal inequality in Luxemburg norm. It does not address spaces strictly between and (where Konyagin's divergence results apply below ), nor lacunary or higher-dimensional analogues. parent of this event
Lie (2017), Pointwise convergence of Fourier series (I), Conjecture 1 evidence for this event
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