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LeanPool.Superdiffusion.Algsuperdiff.StochasticProcess.Common.DivergenceForm.DeGiorgiCutoffTest

DeGiorgiCutoffTest #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

Localized De Giorgi cutoff tests #

This file packages the standard positive-part truncation multiplied by the square of a smooth, compactly supported cutoff. It only combines the existing truncation and H¹₀ product APIs. The localized product itself is recorded separately, since the weighted energy estimates use it without any truncation.

The product of an H¹ function with a smooth compactly supported multiplier supported in the domain, as a zero-trace function.

Equations
Instances For
    theorem DivergenceFormProcess.Form.localizedProductToH10_toFun {d : ℕ} {U : Set (HCPolySupport.Vec d)} (hU : HCPolySupport.IsOpenBoundedConvexDomain U) (v : HCPolySupport.H1Function U) {phi : HCPolySupport.Vec d → ℝ} (hphi : ContDiff ℝ (↑⊤) phi) (hphiCompact : HasCompactSupport phi) (hphiU : tsupport phi ⊆ U) :
    (localizedProductToH10 hU v hphi hphiCompact hphiU).toFun = fun (x : HCPolySupport.Vec d) => phi x * v.toFun x

    The localized product is pointwise the product of the multiplier with the value of the H¹ function.

    The weak gradient of the localized product agrees almost everywhere with the gradient of the pointwise product.