OAI/Geometry/RCD/Sobolev/WeakLaplacianMixedSourceL2.lean
3 declarations, 0 contain sorry, 0 declared as axioms
Mixed integration by parts with an arbitrary L2 source
Bounded Sobolev recovery converges strongly. With one bounded-gradient factor, both remaining products are L² pairings, so the product identity passes to an unbounded Sobolev Laplacian.
- theorem
OAI.RegularPointCoordinates.mixed_bounded_source_testline 22 - theorem
OAI.RegularPointCoordinates.weakLaplacian_mixed_source_L2line 59 - theorem
OAI.RegularPointCoordinates.weakLaplacian_local_mixed_source_L2line 110Source documentation
An L² source can be replaced by a Sobolev representative only near the test support. No amplitude bound on that representative is needed.
theorem weakLaplacian_local_mixed_source_L2 {Ω : Set X} (hΩ : MeasurableSet Ω) (f b w : SobolevSpace μ hQ) (d e : Lp ℝ 2 μ) (hd : IsWeakLaplacian μ hQ f d) (he : e =ᵐ[μ.restrict Ω] SobolevSpace.toLp μ hQ b) (C L : ℝ≥0) (hw : ∀ᵐ x ∂μ, |SobolevSpace.toLp μ hQ w x|≤C) (hf : ∀ᵐ x ∂μ, SobolevSpace.minimalSlope μ hQ f x≤L) (q : X → ℝ) (hwr : SobolevSpace.toLp μ hQ w =ᵐ[μ] q) (hq : tsupport q ⊆ Ω) : (∫ x, q x*d x*e x ∂μ)+weightedGamma μ hQ e f w = -(∫ x, q x*localGamma μ hQ f b x ∂μ) := by …Mentions: OAI.RegularPointCoordinates.SobolevSpace, OAI.RegularPointCoordinates.IsWeakLaplacian, OAI.RegularPointCoordinates.SobolevSpace.toLp, OAI.RegularPointCoordinates.SobolevSpace.minimalSlope, OAI.RegularPointCoordinates.weightedGamma, OAI.RegularPointCoordinates.localGamma