Coarse-graining support: Support.Sobolev.WeakDerivatives #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
The coordinate basis vector eᵢ, with entry one at i and zero at every other coordinate.
Equations
- HCPolySupport.basisVec i = Pi.single i 1
Instances For
def
HCPolySupport.HasWeakGradientOn
{d : ℕ}
(U : Set (Vec d))
(u : Vec d → ℝ)
(Du : Vec d → Vec d)
:
Each component of Du satisfies the weak partial derivative identity for the corresponding
coordinate of u on U.
Equations
- HCPolySupport.HasWeakGradientOn U u Du = ∀ (i : Fin d), HCPolySupport.HasWeakPartialDerivOn U i u fun (x : HCPolySupport.Vec d) => Du x i
Instances For
theorem
HCPolySupport.HasWeakPartialDerivOn.ae_eq
{d : ℕ}
{U : Set (Vec d)}
(hU : IsOpen U)
{i : Fin d}
{u gi hi : Vec d → ℝ}
(hgiLoc : MeasureTheory.LocallyIntegrableOn gi U MeasureTheory.volume)
(hhiLoc : MeasureTheory.LocallyIntegrableOn hi U MeasureTheory.volume)
(hgi : HasWeakPartialDerivOn U i u gi)
(hhi : HasWeakPartialDerivOn U i u hi)
:
gi =ᵐ[MeasureTheory.volume.restrict U] hi
Weak partial derivatives are unique a.e. on open sets.