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LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.CubeBesovPoincare.W12LocalPoincare

Coarse-graining support: Support.Sobolev.Foundations.CubeBesovPoincare.W12LocalPoincare #

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

Local normalized W^{1,2} Poincare estimate on triadic cubes #

The overlap-cube H^1 estimate is used only at the middle child of a triadic cube. There its overlap is the original cube, so the estimate has a dimension-only constant and the exact normalized open-cube Sobolev carrier.

The dimension-only constant in the local normalized cube Poincare estimate.

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    View a W¹,² function as an H¹ function with the same value and weak gradient.

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    • u.toH1AtTwo = { toFun := u.toFun, grad := u.grad, memL2 := ⋯, gradMemL2 := ⋯, hasWeakGradient := ⋯ }
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      def HCPolySupport.castH1Domain {d : ℕ} {U V : Set (Vec d)} (hUV : U = V) (u : H1Function U) :

      Transport an H¹ function across equality of domains, preserving its value and weak gradient.

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