OAI/MathematicalPhysics/DefocusingNLS/Nonlinear/GaussianFourier.lean

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11 declarations, 0 contain sorry, 0 declared as axioms

Almost-sure Sobolev summability of the Gaussian Fourier coefficients

The underlying independent coefficients are constructed using Mathlib's countable product measure. Their weighted square sum is almost surely finite at the exact threshold α > k + 6 from Corollary 1.2.

  1. def OAI.DefocusingNLS.fourierGaussianLaw line 23

    Source documentation

    The standard independent complex Gaussian Fourier coefficients.

    Also declared: ComparatorChallenges/DefocusingNLS.lean:46 (same declaration text).

    noncomputable def fourierGaussianLaw : Measure (frequencyLattice → ℂ) :=
    …

    Mentions: OAI.DefocusingNLS.frequencyLattice

  2. instance OAI.DefocusingNLS.(instance at line 26) line 26
  3. theorem OAI.DefocusingNLS.fourierGaussianLaw_map_eval line 31

    Source documentation

    Every coordinate has the standard complex Gaussian law.

    theorem fourierGaussianLaw_map_eval (n : frequencyLattice) :
        fourierGaussianLaw.map (fun g => g n) = complexGaussian (1 / 2) :=
    …

    Mentions: OAI.DefocusingNLS.frequencyLattice, OAI.DefocusingNLS.complexGaussian

  4. theorem OAI.DefocusingNLS.fourierGaussian_coordinate_second_moment line 35
  5. def OAI.DefocusingNLS.sobolevVariance line 43

    Source documentation

    The deterministic expected energy weight.

    Also declared: ComparatorChallenges/DefocusingNLS.lean:49 (same declaration text).

    noncomputable def sobolevVariance (k α : ℝ) (n : frequencyLattice) : ℝ :=
    …

    Mentions: OAI.DefocusingNLS.frequencyLattice

  6. theorem OAI.DefocusingNLS.sobolevVariance_nonneg line 46
  7. theorem OAI.DefocusingNLS.ae_summable_gaussian_sobolev_energy line 51

    Source documentation

    Almost-sure finite weighted Fourier energy.

    theorem ae_summable_gaussian_sobolev_energy (k α : ℝ) (hα : k + 6 < α) :
        ∀ᵐ g ∂fourierGaussianLaw,
          Summable (fun n => sobolevVariance k α n * Complex.normSq (g n)) := by
    …

    Mentions: OAI.DefocusingNLS.fourierGaussianLaw, OAI.DefocusingNLS.sobolevVariance

  8. def OAI.DefocusingNLS.weightedGaussianCoefficient line 70

    Source documentation

    The normalized H^k coefficients, represented as an ℓ² sequence.

    Distinct definitions of this name: ComparatorChallenges/DefocusingNLS.lean:52 (same statement text; different proof or body). Qualify references as OAI.DefocusingNLS.weightedGaussianCoefficient@path.

    noncomputable def weightedGaussianCoefficient (k α : ℝ)
        (g : frequencyLattice → ℂ) (n : frequencyLattice) : ℂ :=
    …

    Mentions: OAI.DefocusingNLS.frequencyLattice

  9. theorem OAI.DefocusingNLS.weightedGaussianCoefficient_eq_rpow line 75

    Source documentation

    These are exactly the ⟨n⟩^(k-α)-weighted coordinates of the manuscript.

    theorem weightedGaussianCoefficient_eq_rpow (k α : ℝ)
        (g : frequencyLattice → ℂ) (n : frequencyLattice) :
        weightedGaussianCoefficient k α g n =
          (1 + ‖n‖ ^ 2) ^ ((k - α) / 2) • g n := by
    …

    Mentions: OAI.DefocusingNLS.frequencyLattice

  10. theorem OAI.DefocusingNLS.weightedGaussianCoefficient_norm_sq line 84
  11. theorem OAI.DefocusingNLS.ae_mem_l2_gaussian_coefficients line 93

    Source documentation

    The weighted coefficient sequence lies in ℓ² almost surely.

    theorem ae_mem_l2_gaussian_coefficients (k α : ℝ) (hα : k + 6 < α) :
        ∀ᵐ g ∂fourierGaussianLaw, Memℓp (weightedGaussianCoefficient k α g) 2 := by
    …

    Mentions: OAI.DefocusingNLS.fourierGaussianLaw