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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.Schauder.CubeSchauderBoundaryResidue

CubeSchauderBoundaryResidue #

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

Cube Schauder: the harmonic competitor on the reflected window #

CubeSchauderResidue.exists_harmonicCompetitor_residue produces the harmonic competitor of the forced equation on the truncated window (x+□_n) ∩ □_m. The boundary branch's Lipschitz atom (CubeSchauderBoundaryTwin.exists_gradientLipschitz_boundary) instead asks for a competitor that is classically harmonic on the partially reflected window reflectedWindow x m (n-2) — the odd double of the truncated window across every met face of ∂□_m. This module produces it, for the zero-datum cube problem, and prices its residue.

The chain, on the window W = (x + □_{n-2}) ∩ □_m:

  1. freezing at the window's own scale (CubeSchauderResidue.exists_frozenHarmonicReplacement_truncatedWindow, at the base point x and the constant c = G(x)): a corrector w ∈ H¹₀(W) with u - w weakly harmonic on W and Σᵢ ‖∂ᵢw‖_{L²(W)} ≤ d KG √(3^{n-2}|W|);
  2. the zero-trace slot (CubeSchauderBoundaryZeroTrace): u ∈ H¹₀(□_m) and w ∈ H¹₀(W) give the face-only localized zero trace of u - w on W against reflectedWindow x m (n-2) — no extra hypothesis;
  3. the odd reflection (ExcessDecay.exists_h1_oddReflection_reflectedWindow, any met configuration — interior, face, edge or corner): a weakly harmonic H¹(reflectedWindow x m (n-2)) extension pinned to u - w on W;
  4. Weyl on the doubled window (ExcessDecay.Schauder.exists_classicalCompetitor_reflectedWindow): a classically harmonic representative V, so that u - V = w almost everywhere on W;
  5. the Dirichlet Poincaré (CubeSchauderPoincare, at the inscribing cube x + □_{n-2}), exactly as in the interior chain.

Because the freezing runs at the replacement scale n-2 rather than at n, the interior chain's window transfer U_0 → U_2 is not needed and the residue constant loses the √((3⁴)^d) volume-ratio factor: the boundary residue is smaller than the interior one, at boundaryResidueConst d = C_Poincaré(d) · d (the honest value carries a further factor 1/27, discarded here).

What this module does not do #

It supplies the competitor of the boundary one step, not the one step. The step that remains open is the fold of the competitor's excess on the doubled window, E(V, reflectedWindow x m (n-2)), back into E(u, (x+□_n) ∩ □_m): on the interior branch that is one triangle inequality (affineExcess_sub_le_truncatedWindow), but on the doubled window u is not defined on the far side, and the affine competitor must be replaced by its odd part before the far-side leg can be folded back.

References #

1. The constant #

The residue constant of the boundary branch: C_Poincaré(d) · d. No volume-ratio factor, because the freezing runs at the replacement scale.

Equations
Instances For

    2. The competitor and its residue #