OAI/Geometry/RCD/Harmonic/RadialQuadraticLimit.lean

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The radial value limit from Poisson height and metric approximation

  1. theorem OAI.RegularPointCoordinates.radial_quadratic_value_error line 19

    Source documentation

    The dimensionless radial value error is the sum of the Poisson height error and the explicitly squared metric approximation error.

    theorem radial_quadratic_value_error {n : ℕ} {p : X} {r S ε D : ℝ}
        (hr : 0 < r) (hS : 0 ≤ S) (hε : 0 ≤ ε) {V : X → Euclidean n}
        (hmetric : IsPointedApproximation p 0 r S ε V) (hcenter : V p = 0)
        {F : X → ℝ} {x : X} (hx : dist x p ≤ S * r)
        (hheight : |r ^ 2 * F x - dist p x ^ 2 / 2| ≤ r ^ 2 * D) :
        |F x - ‖V x‖ ^ 2 / 2| ≤ D + ε * (2 * S + ε) / 2 := by
    …

    Mentions: OAI.RegularPointCoordinates.Euclidean, OAI.RegularPointCoordinates.IsPointedApproximation

  2. theorem OAI.RegularPointCoordinates.radial_quadratic_mean_bound line 37

    Source documentation

    A bounded radial value error controls its normalized mean square. The reference measure need only be finite on the ball.

    theorem radial_quadratic_mean_bound (μ : Measure X) [BorelSpace X]
        {n : ℕ} {p : X} {r S ε D : ℝ} (hr : 0 < r) (hS : 0 ≤ S)
        (hε : 0 ≤ ε) (hD : 0 ≤ D) (hfin : μ (ball p (S * r)) ≠ ∞)
        {V : X → Euclidean n} (hV : Measurable V)
        (hmetric : IsPointedApproximation p 0 r S ε V) (hcenter : V p = 0)
        {F : X → ℝ} (hF : AEStronglyMeasurable F (μ.restrict (ball p (S * r))))
        (hheight : ∀ᵐ x ∂μ.restrict (ball p (S * r)),
          |r ^ 2 * F x - dist p x ^ 2 / 2| ≤ r ^ 2 * D) :
        (μ.real (ball p (S * r)))⁻¹ *
          (∫ x in ball p (S * r), (F x - ‖V x‖ ^ 2 / 2) ^ 2 ∂μ) ≤
            (D + ε * (2 * S + ε) / 2) ^ 2 := by
    …

    Mentions: OAI.RegularPointCoordinates.Euclidean, OAI.RegularPointCoordinates.IsPointedApproximation

  3. theorem OAI.RegularPointCoordinates.radial_quadratic_mean_tendsto_zero line 80

    Source documentation

    Vanishing height error and vanishing metric error imply the exact quadratic value limit needed by local Poisson/harmonic compactness.

    theorem radial_quadratic_mean_tendsto_zero (μ : Measure X) [BorelSpace X]
        {n : ℕ} {S : ℝ} (hS : 0 ≤ S)
        (p : ℕ → X) (r ε D : ℕ → ℝ) (V : ℕ → X → Euclidean n) (F : ℕ → X → ℝ)
        (hr : ∀ i, 0 < r i) (hε : ∀ i, 0 ≤ ε i) (hD : ∀ i, 0 ≤ D i)
        (hfin : ∀ i, μ (ball (p i) (S * r i)) ≠ ∞)
        (hV : ∀ i, Measurable (V i))
        (hmetric : ∀ i, IsPointedApproximation (p i) 0 (r i) S (ε i) (V i))
        (hcenter : ∀ i, V i (p i) = 0)
        (hF : ∀ i, AEStronglyMeasurable (F i) (μ.restrict (ball (p i) (S * r i))))
        (hheight : ∀ i, ∀ᵐ x ∂μ.restrict (ball (p i) (S * r i)),
          |r i ^ 2 * F i x - dist (p i) x ^ 2 / 2| ≤ r i ^ 2 * D i)
        (hε0 : Tendsto ε atTop (𝓝 0)) (hD0 : Tendsto D atTop (𝓝 0)) :
    …

    Mentions: OAI.RegularPointCoordinates.Euclidean, OAI.RegularPointCoordinates.IsPointedApproximation