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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.ExcessDecay.HarmonicityTransferFace

HarmonicityTransferFace #

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

The single-face harmonicity transfer #

Let U be an open bounded convex domain symmetric under the reflection r in the hyperplane {yᵢ = a}, and let H = faceHalf U i a σ be one of the two open halves it cuts. If v is weakly harmonic on H, then its odd extension across the face — w = v - v ∘ r after zero extension off H — is weakly harmonic on all of U.

Scope #

The H¹(U) packaging of the odd extension is an input here: the theorem takes an H1Function U whose recorded gradient is the odd extension of the zero-extended gradient of v, and proves that it is weakly harmonic. Producing that packaging from a localized zero-trace hypothesis on the met face is the separate job of the weak-gradient locality lemma (WeakGradientLocality.lean) — the harmonicity proved here never uses the zero-trace hypothesis, only the harmonicity of v on the half.

References #

1. Reflection algebra #

The coordinates of the face reflection: the normal coordinate is flipped about a, the tangential ones are untouched.

A point of the reflecting hyperplane is fixed.

If U is invariant under the reflection, so is the closed support of any test function supported in U — hence the reflected test is again supported in U.

2. Integrability of the tested pairing #

3. The transfer #

The single-face harmonicity transfer.

U is an open bounded convex domain invariant under the reflection r in {yᵢ = a}; H = faceHalf U i a σ is the open half on the σ-side; v is weakly harmonic on H; and w is an H¹(U) function whose gradient is the odd extension of v's gradient, zero-extended off H. Then w is weakly harmonic on U.

The proof folds the test function oddly, ψ = φ - φ ∘ r, uses to make ψ an admissible H¹₀(H) competitor, and reduces the reflected half of the integral to H by the measure-preserving change of variables.