analysis / Harmonic analysis; pointwise convergence of Fourier series

Almost everywhere convergence of Fourier series in L log L

Theorem 1.1: for every complex-valued f∈Llog⁡L(T)f\in L\log L(\mathbb T) there is a null set NfN_f with lim⁡N→∞SNf(x)=f(x)\lim_{N\to\infty}S_Nf(x)=f(x) for x∉Nfx\notin N_f, along the full sequence. The key estimate is a good-set bound ∫{Mρ≤e4h}sup⁡N∣SNρ∣≤Cd\int_{\{M\rho\le e^{4h}\}}\sup_N|S_N\rho|\le Cd for bounded densities of height ede^d, summed over height layers. The paper also deduces a weak-L1L^1 maximal inequality in Luxemburg norm. It does not address spaces strictly between Llog⁡LL\log L and L1L^1 (where Konyagin's divergence results apply below Llog⁡LL\sqrt{\log L}), nor lacunary or higher-dimensional analogues.

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analysisSep 23, 2026Significance 52/100Registry: lean checked

Almost everywhere convergence of Fourier series in L log L

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Theorem 1.1: for every complex-valued f∈Llog⁡L(T)f\in L\log L(\mathbb T) there is a null set NfN_f with lim⁡N→∞SNf(x)=f(x)\lim_{N\to\infty}S_Nf(x)=f(x) for x∉Nfx\notin N_f, along the full sequence. The key estimate is a good-set bound ∫{Mρ≤e4h}sup⁡N∣SNρ∣≤Cd\int_{\{M\rho\le e^{4h}\}}\sup_N|S_N\rho|\le Cd for bounded densities of height ede^d, summed over height layers. The paper also deduces a weak-L1L^1 maximal inequality in Luxemburg norm. It does not address s…

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Theorem 1.1: for every complex-valued f∈Llog⁡L(T)f\in L\log L(\mathbb T) there is a null set NfN_f with lim⁡N→∞SNf(x)=f(x)\lim_{N\to\infty}S_Nf(x)=f(x) for x∉Nfx\notin N_f, along the full sequence. The key estimate is a good-set bound ∫{Mρ≤e4h}sup⁡N∣SNρ∣≤Cd\int_{\{M\rho\le e^{4h}\}}\sup_N|S_N\rho|\le Cd for bounded densities of height ede^d, summed over height layers. The paper also deduces a weak-L1L^1 maximal inequality in Luxemburg norm. It does not address spaces strictly between Llog⁡LL\log L and L1L^1 (where Konyagin's divergence results apply below Llog⁡LL\sqrt{\log L}), nor lacunary or higher-dimensional analogues.

Theorem 1.1: for every complex-valued f∈Llog⁡L(T)f\in L\log L(\mathbb T) there is a null set NfN_f with lim⁡N→∞SNf(x)=f(x)\lim_{N\to\infty}S_Nf(x)=f(x) for x∉Nfx\notin N_f, along the full sequence. The key estimate is a good-set bound ∫{Mρ≤e4h}sup⁡N∣SNρ∣≤Cd\int_{\{M\rho\le e^{4h}\}}\sup_N|S_N\rho|\le Cd for bounded densities of height ede^d, summed over height layers. The paper also deduces a weak-L1L^1 maximal inequality in Luxemburg norm. It does not address spaces strictly between Llog⁡LL\log L and L1L^1 (where Konyagin's divergence results apply below Llog⁡LL\sqrt{\log L}), nor lacunary or higher-dimensional analogues.

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