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LeanPool.AnomalousDiffusion.AVenhance.Infra.Section4.TLemmasMinusTheta

The zeroth spatial-derivative consequence of l.V.m-1.reg.upgrade: the actual iterates telescope to T_{m-1} - θ_{m-1}, and their factorial-weighted amplitudes close to the scale in l.Tm.minus.thetam. The conditional input below is exactly the n = 0, positive-increment slice of the upstream l.V estimate, expressed in the torus norms.

theorem AVenhance.Infra.Section4.TLemmasMinusTheta.classical_spatial_smooth {b : ℝ → Homogenization.Vec 2 → Homogenization.Vec 2} {κ : ℝ} {F : ℝ → Homogenization.Vec 2 → ℝ} {u₀ : Homogenization.Vec 2 → ℝ} {u : ℝ → Homogenization.Vec 2 → ℝ} (hu : IsClassicalSol b κ F u₀ u) {t : ℝ} (ht : 0 ≤ t) :
ContDiff ℝ (↑⊤) (u t)
theorem AVenhance.Infra.Section4.TLemmasMinusTheta.iterateIncrement_value_memL2On {β : ℝ} (I : Ingredients β) {Φ : ℕ → ℝ → Homogenization.Vec 2 → ℝ} (hΦ : IsStreamSeq I Φ) {m : ℕ} {κm κprev : ℝ} {θ₀ : Homogenization.Vec 2 → ℝ} {θprev : ℝ → Homogenization.Vec 2 → ℝ} {T : ℕ → ℝ → Homogenization.Vec 2 → ℝ} (hT : I.IsTIterates hΦ m κm κprev θ₀ θprev T) (hThetaSmooth : ∀ (t : ℝ), 0 ≤ t → ContDiff ℝ (↑⊤) (θprev t)) {i : ℕ} (hi : 1 ≤ i) (hiN : i ≤ Nstar β) {t : ℝ} (ht : 0 ≤ t) :

The pointwise value estimate uses only the positive-increment value part of l.V. Its torus-cell integrability follows from the actual classical iterates, so no spacetime-gradient integrability premise is needed.

theorem AVenhance.Infra.Section4.iterate_Tm_minus_theta_value_bound_of_V_zero {β : ℝ} (I : Ingredients β) {Φ : ℕ → ℝ → Homogenization.Vec 2 → ℝ} (hΦ : IsStreamSeq I Φ) {m : ℕ} {κm κprev : ℝ} {θ₀ : Homogenization.Vec 2 → ℝ} {θprev : ℝ → Homogenization.Vec 2 → ℝ} {T : ℕ → ℝ → Homogenization.Vec 2 → ℝ} (hT : I.IsTIterates hΦ m κm κprev θ₀ θprev T) (hThetaSmooth : ∀ (t : ℝ), 0 ≤ t → ContDiff ℝ (↑⊤) (θprev t)) {S : ℝ} (hS : 0 ≤ S) {η A ρ : ℝ} (hη : 0 ≤ η) (hηsmall : η ≤ 1 / 4) (hscale : η ≤ A * ρ) (hAρ : 0 ≤ A * ρ) (hV : ∀ i ∈ Finset.range (Nstar β), ∀ t ∈ Set.Icc 0 1, √(l2NormSq (iterateIncrement T (i + 1) t)) + √κprev * √(spaceTimeGradNormSq fun (s : ℝ) (x : Homogenization.Vec 2) => spaceGrad (iterateIncrement T (i + 1) s) x) ≤ ↑(2 * (i + 1)).factorial * iterateAmplitude η (i + 1) * S) (t : ℝ) (ht : t ∈ Set.Icc 0 1) :
√(l2NormSq fun (x : Homogenization.Vec 2) => T (Nstar β) t x - θprev t x) ≤ ↑(2 * Nstar β).factorial * (4 * A * ρ) * S

Value-only finite telescope from the positive-increment l.V bound.