OAI/Analysis/FourierLLogL/Main.lean

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4 declarations, 0 contain sorry, 0 declared as axioms

Almost everywhere Fourier convergence in L log L

  1. theorem OAI.FourierLLogL.main_of_grid line 17
  2. theorem OAI.FourierLLogL.almost_everywhere_fourier_convergence line 25

    Source documentation

    Almost everywhere convergence in L log L, all symmetric cutoffs.

    theorem almost_everywhere_fourier_convergence (f : Torus → ℂ) (hf : MemLLogL f) :
        ∃ E : Set Torus, MeasurableSet E ∧ circleMeasure E = 0 ∧ ∀ x ∉ E,
          Tendsto (fun N : ℕ ↦ symmetricPartialSum f N x) atTop (𝓝 (f x)) :=
    …

    Mentions: OAI.FourierLLogL.Torus, OAI.FourierLLogL.MemLLogL, OAI.FourierLLogL.circleMeasure, OAI.FourierLLogL.symmetricPartialSum

  3. theorem OAI.FourierLLogL.maximal_good_sets line 30
  4. theorem OAI.FourierLLogL.weak_L1_maximal_bound line 36

    Source documentation

    Cor. "Weak-L^1 maximal bound", in the equivalent all-levels form.

    theorem weak_L1_maximal_bound :
        ∃ C : ℝ, 0 < C ∧ ∀ (f : Torus → ℂ), MemLLogL f →
          ∀ w : ℝ, 0 < w →
            w*circleMeasure.real (cloudSet f w) ≤ C*luxNorm f :=
    …

    Mentions: OAI.FourierLLogL.Torus, OAI.FourierLLogL.MemLLogL, OAI.FourierLLogL.cloudSet, OAI.FourierLLogL.luxNorm