Documentation

LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.AffineAverage

Coarse-graining support: Support.Sobolev.Foundations.AffineAverage #

Imported from the Apache-2.0 CoarseGraining development at commit c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.

theorem HCPolySupport.CorrectionFieldData.average_flux_affine {d : ℕ} {U : Set (Vec d)} (hU : IsSobolevRegularDomain U) (hvol : (MeasureTheory.volume U).toReal ≠ 0) (X : CorrectionFieldData U) (q : Vec d) :
(fun (i : Fin d) => integralAverage U fun (x : Vec d) => (q + X.flux x) i) = q
theorem HCPolySupport.CorrectionFieldData.average_state_affine {d : ℕ} {U : Set (Vec d)} (hU : IsSobolevRegularDomain U) (hvol : (MeasureTheory.volume U).toReal ≠ 0) (X : CorrectionFieldData U) (P : BlockVec d) :
(fun (i : Fin d) => integralAverage U fun (x : Vec d) => (P.1 + X.potential x) i, fun (i : Fin d) => integralAverage U fun (x : Vec d) => (P.2 + X.flux x) i) = P