MeanFinalCore #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
(A), step 2: the doubled-window transfer for a face-odd function #
⨍_D G² ≤ 3 ⨍_K G² + 8β² , hence ‖G‖_{L²(D)} ≤ 2‖G‖_{L²(K)} + 3|β| .
The β-term is unavoidable and is the reason the final assembly of (A) is an
absorption: G is not odd, only W is, and G ∘ ρ = −(G + 2β). In the
assembly this term is multiplied by the quadratically small Hessian factor, so
it is absorbed rather than iterated.
The proof is a measure-preserving change of variables (ρ is an involutive
measurable embedding preserving Lebesgue measure) plus the observation that the
face hyperplane is null.
1. The face hyperplane is null #
A coordinate hyperplane has Lebesgue measure zero.
2. The doubled-window transfer #
The oscillation on the doubled window, transferred back to the cube.
For W odd about {yᵢ = a} and D covered — up to that hyperplane — by K
and the reflection of K, the normalized seminorm of G = W − β on D is
controlled by the one on K plus a multiple of |β|.