Coarse-graining support: Support.Sobolev.Fractional.EuclideanWsp #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Euclidean fractional Sobolev core #
The exact Chapter 3 Euclidean W^(s,p) kernel and full power norm on a
triadic cube.
The Hilbert-vector difference kernel (F(x) - F(y)) / |x - y|^(s + d/p) using Euclidean
distance.
Equations
- HCPolySupport.cubeEuclideanWspKernel s p F z = HCPolySupport.euclideanDist z.1 z.2 ^ (-(↑s + ↑d / p.exponent.toReal)) • HCPolySupport.HilbertVec.ofVec (F z.1 - F z.2)
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The Euclidean fractional difference kernel of F belongs to Lᵖ for the cube Gagliardo pair
measure.
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The extended Lᵖ norm of the Euclidean fractional difference kernel for the cube Gagliardo pair measure.
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A vector field with cube Euclidean Lᵖ integrability and an Lᵖ fractional difference kernel of
order s.
- euclideanMemLp : MeasureTheory.MemLp (fun (x : Vec d) => HilbertVec.ofVec (self.toField x)) p.exponent (normalizedCubeMeasure Q)
- euclideanMemWsp : MemCubeEuclideanWsp Q s p self.toField
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Equations
- HCPolySupport.CubeEuclideanWspField.instCoeFunForallVec = { coe := fun (F : HCPolySupport.CubeEuclideanWspField Q s p) => F.toField }
The extended nonnegative scale weight given by the cube scale factor to the power -s p.
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The extended full fractional norm: the pth root of the sum of the scale-weighted normalized Lᵖ
norm to power p and the fractional seminorm to power p.
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- One or more equations did not get rendered due to their size.