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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.Schauder.CubeSchauderFreezingResidue

CubeSchauderFreezingResidue #

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

Cube Schauder: the freezing residue in coordinate L² form #

The freezing step of CubeSchauderFreezing delivers its harmonic-approximation error as a Dirichlet energy, ∫_□ |∇w|². The consumers of that error — the zero-trace Poincaré inequality and the development's one-step excess contraction — both take the coordinate sum Σᵢ ‖∂ᵢ w‖_{L²(□)} instead. This module supplies the missing dictionary and reads the freezing gain off in that shape.

The dictionary is Cauchy--Schwarz on Fin d applied to the vector of coordinate L² norms:

  Σᵢ ‖∂ᵢ w‖_{L²(U)} ≤ √( d · ∫_U |∇w|² ) .

Combined with the freezing bound ∫_□ |∇w|² ≤ d · KG² · 3^j · |□_j| of exists_frozenHarmonicReplacement_openCubeSet this gives

  Σᵢ ‖∂ᵢ w‖_{L²(□_j)} ≤ d · KG · √( 3^j · |□_j| ) ,

i.e. the freezing gain (3^j)^{1/2}·[G]_{C^{0,1/2}} in the exact slot shape of the proved Dirichlet-Poincaré and one-step machinery.

Main results #

References #

1. The Cauchy--Schwarz dictionary #

The coordinate-sum dictionary.

The sum of the coordinate L² norms of a vector field is at most √d times its Dirichlet-type L² norm. This is Cauchy--Schwarz on Fin d against the vector of ones.

The H¹ instance of the dictionary, driven by a Dirichlet energy bound.

2. The freezing residue at an origin cube #

theorem Algsuperdiff.Section4.Provider.Schauder.sqrt_freezing_budget (D KG s V : ℝ) (hD : 0 ≤ D) (hKG : 0 ≤ KG) :
√(D * (D * (KG ^ 2 * s) * V)) = D * KG * √(s * V)

The square root of the freezing budget factorizes.