Documentation

LeanPool.AnomalousDiffusion.AVenhance.Infra.Section4.IteratesWordFlux

All-order divergence-form forcing with exact coefficient-gradient products.

Ordered spatial derivatives commute with each coordinate gradient.

theorem AVenhance.Infra.Section4.iterateSpatialWord_sum {ι : Type u_1} (s : Finset ι) (f : ι → Homogenization.Vec 2 → ℝ) (hf : ∀ i ∈ s, ContDiff ℝ (↑⊤) (f i)) (w : List (Fin 2)) :
(iterateSpatialWord w fun (x : Homogenization.Vec 2) => ∑ i ∈ s, f i x) = fun (x : Homogenization.Vec 2) => ∑ i ∈ s, iterateSpatialWord w (f i) x

Ordered spatial differentiation commutes with every finite smooth sum.

The differentiated vector flux keeps every coefficient-gradient Leibniz term, including the principal term with no derivative on the coefficient.

Equations
  • One or more equations did not get rendered due to their size.
Instances For
    theorem AVenhance.Infra.Section4.iterateSpatialWord_matrix_flux {A : Homogenization.Vec 2 → Matrix (Fin 2) (Fin 2) ℝ} {v : Homogenization.Vec 2 → ℝ} (hA : ContDiff ℝ (↑⊤) A) (hv : ContDiff ℝ (↑⊤) v) (w : List (Fin 2)) (i : Fin 2) :
    (iterateSpatialWord w fun (x : Homogenization.Vec 2) => (A x).mulVec (spaceGrad v x) i) = fun (x : Homogenization.Vec 2) => iterateWordFlux A v w x i

    Each component of the differentiated actual flux is exactly the expanded flux, with multiplicities supplied by the ordered splits.

    Spatial words commute with divergence of the actual smooth vector flux.

    Exact all-order forcing in divergence form. No differentiated forcing formula is supplied as a hypothesis.