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.
Equations
Instances For
View a W¹,² function as an H¹ function with the same value and weak gradient.
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Instances For
Transport an H¹ function across equality of domains, preserving its value and weak gradient.
Equations
- HCPolySupport.castH1Domain hUV u = hUV ▸ u
Instances For
theorem
HCPolySupport.cubeBesovOscillation_two_le_cubeScaleFactor_mul_normalizedW1pSeminorm
{d : ℕ}
(Q : TriadicCube d)
(u : W1pFunction (openCubeSet Q) 2)
:
cubeBesovOscillation Q 2 u.toFun ≤ cubeBesovW12LocalPoincareConstant d * cubeScaleFactor Q * BoundedMeasurableDomain.NormalizedW1pKernel.seminorm (⋯.toBoundedMeasurableDomain ⋯) 2
cubeBesovOscillation_two_le_cubeScaleFactor_mul_normalizedW1pSeminorm._proof_1
cubeBesovOscillation_two_le_cubeScaleFactor_mul_normalizedW1pSeminorm._proof_2 u
The local Poincare estimate on a triadic cube in the exact normalized
W^{1,2} carrier used by the Besov embedding.