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LeanPool.AnomalousDiffusion.AVenhance.Infra.Section5.Contracts.TermSourcesTwistie1Pointwise

Weighted pointwise bound for ∇ ∇·(B ∇T) #

sc_gradDiv_vecNormSq_le loses the factor r² on every term of the Leibniz expansion. Here the coefficient of order p is weighted by L^{|p|} and the corresponding word of T of order 2 - |p| keeps the weight L^{2-|p|}, so that with the T jets at the same rate L the total loss is a single factor L² (the source gets ε_{m-1}^{-2-γ} from ∇³ T, ∇² T ∇B, ∇T ∇²B).

The weighted word sum.

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    theorem AVenhance.Infra.Section5.Contracts.se_flux_term_abs_le {A : Homogenization.Vec 2 → Matrix (Fin 2) (Fin 2) ℝ} {v : Homogenization.Vec 2 → ℝ} (x : Homogenization.Vec 2) {D L : ℝ} (hD : 0 ≤ D) (hL : 0 ≤ L) (hAj : ∀ (p : List (Fin 2)), p.length ≤ 2 → ∀ (j k : Fin 2), |Section4.iterateMatrixWord A p x j k| ≤ D * ↑p.length.factorial * L ^ p.length) (w : List (Fin 2)) (hw : w.length = 2) {p : List (Fin 2) × List (Fin 2)} (hp : p ∈ Section4.iterateSpatialSplits w) (k j : Fin 2) :
    theorem AVenhance.Infra.Section5.Contracts.se_gradDiv_abs_le {A : Homogenization.Vec 2 → Matrix (Fin 2) (Fin 2) ℝ} {v : Homogenization.Vec 2 → ℝ} (hA : ContDiff ℝ (↑⊤) A) (hv : ContDiff ℝ (↑⊤) v) (x : Homogenization.Vec 2) {D L : ℝ} (hD : 0 ≤ D) (hL : 0 ≤ L) (hAj : ∀ (p : List (Fin 2)), p.length ≤ 2 → ∀ (j k : Fin 2), |Section4.iterateMatrixWord A p x j k| ≤ D * ↑p.length.factorial * L ^ p.length) (i : Fin 2) :
    |spaceGrad (vecDiv fun (y : Homogenization.Vec 2) => (A y).mulVec (spaceGrad v y)) x i| ≤ 32 * D * seWordSum L v x
    theorem AVenhance.Infra.Section5.Contracts.se_gradDiv_vecNormSq_le {A : Homogenization.Vec 2 → Matrix (Fin 2) (Fin 2) ℝ} {v : Homogenization.Vec 2 → ℝ} (hA : ContDiff ℝ (↑⊤) A) (hv : ContDiff ℝ (↑⊤) v) (x : Homogenization.Vec 2) {D L : ℝ} (hD : 0 ≤ D) (hL : 0 ≤ L) (hAj : ∀ (p : List (Fin 2)), p.length ≤ 2 → ∀ (j k : Fin 2), |Section4.iterateMatrixWord A p x j k| ≤ D * ↑p.length.factorial * L ^ p.length) :

    Weighted pointwise bound: |∇ ∇·(A ∇v)|² ≤ 14336 D² ∑_{|w| ≤ 2} L^{2(2-|w|)} |∇ ∂^w v|².