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LeanPool.HighContrastHomogenization.Provider.PolynomialHomogenization.ConvexFractionalBallDomainMean

High-contrast homogenization: Provider.PolynomialHomogenization.ConvexFractionalBallDomainMean #

Imported from the Apache-2.0 HighContrastHomogenization development at commit 7a13dbcd8d6609264a713373f5c69ceeac870472.

Core-ball and domain mean comparison #

theorem HCPolySupport.HighContrast.ofReal_vecNormSq_coreMean_sub_domainMean_le {d : ℕ} (hd : 1 ≤ d) {U : Set (Vec d)} (hU : IsOpenBoundedConvexDomain U) {c : Vec d} {rho Rad s : ℝ} (hrho : 0 < rho) (hRad : 0 < Rad) (hinner : euclideanBallAt c rho ⊆ U) (houter : U ⊆ euclideanBallAt c Rad) {G : Vec d → Vec d} (hGint : MeasureTheory.Integrable G (MeasureTheory.volume.restrict U)) (hs : 0 ≤ s) :

The core-ball mean differs from the domain mean by a structural multiple of the fractional energy.