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LeanPool.AnomalousDiffusion.AVenhance.Infra.Section4.IteratesAmplitude

The actual piecewise amplitude weights in l.V and their squared ratios. The theta base prefactor is handled by a common prefactor outside these weights; the weights themselves are the printed A_i.

noncomputable def AVenhance.Infra.Section4.iterateAmplitude (η : ℝ) (i : ℕ) :

The source amplitude, with eta its smallness parameter.

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    Squaring removes fractional powers from the induction bookkeeping.

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      theorem AVenhance.Infra.Section4.iterateAmplitudeSq_previous {η : ℝ} (hη1 : η ≤ 1) {i : ℕ} (hi : 2 ≤ i) :

      The preceding-increment material term costs one power of eta for i≥2.

      theorem AVenhance.Infra.Section4.iterateAmplitudeSq_two_previous {η : ℝ} (hη : 0 ≤ η) (hη1 : η ≤ 1) {i : ℕ} (hi : 2 ≤ i) :

      Two-increment terms cost two powers of eta; the exceptional early amplitudes are handled explicitly rather than replaced by a uniform power.

      theorem AVenhance.Infra.Section4.iterateAmplitudeSq_scaled_previous_ratio {C₀ ρ : ℝ} (hC : 0 < C₀) (hρ : 0 < ρ) (hsmall : C₀ * ρ ≤ 1) {i : ℕ} (hi : 2 ≤ i) :
      ρ * iterateAmplitudeSq (C₀ * ρ) (i - 1) / iterateAmplitudeSq (C₀ * ρ) i ≤ C₀⁻¹

      Normalization of the one-increment material remainder for eta=C0*rho.

      theorem AVenhance.Infra.Section4.iterateAmplitudeSq_scaled_two_previous_ratio {C₀ ρ : ℝ} (hC : 0 < C₀) (hρ : 0 < ρ) (hsmall : C₀ * ρ ≤ 1) {i : ℕ} (hi : 2 ≤ i) :
      ρ ^ 2 * iterateAmplitudeSq (C₀ * ρ) (i - 2) / iterateAmplitudeSq (C₀ * ρ) i ≤ (C₀ ^ 2)⁻¹

      Normalization of the two-increment material remainder, including i=2.

      theorem AVenhance.Infra.Section4.iterateAmplitudeSq_squared_previous {η : ℝ} (hη : 0 ≤ η) (hη1 : η ≤ 1) {i : ℕ} (hi : 1 ≤ i) :

      A squared gain controls the preceding amplitude even for the exceptional first increment. This is the gain furnished by the material estimates.

      theorem AVenhance.Infra.Section4.iterateAmplitudeSq_scaled_squared_previous_ratio {C₀ ρ : ℝ} (hC : 0 < C₀) (hρ : 0 < ρ) (hsmall : C₀ * ρ ≤ 1) {i : ℕ} (hi : 1 ≤ i) :
      ρ ^ 2 * iterateAmplitudeSq (C₀ * ρ) (i - 1) / iterateAmplitudeSq (C₀ * ρ) i ≤ (C₀ ^ 2)⁻¹

      Squared material smallness normalizes with C^-2 at every positive increment, preserving the exceptional first two source amplitudes.