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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Stream.TranslatedLargeCubeW1Inf

TranslatedLargeCubeW1Inf #

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

The summed derivative-stream bound on a translated cube #

LargeCubeW1Inf.lean proves local versions of ABK26's e.W1inf.jL.bound.smaller and e.W.1.inf.bound on the centered cube cu_l. The proof of l.bad.event.lemma on the branch n < m needs both displays on the translated cube z + cu_m, since the good local sensitivity event e.good.local.events is stated at z + cu_m.

This module re-runs the covering half of the source proof at an arbitrary base point. Nothing else changes: the covering family subcubeShifts and the maximum lemma l.maximums.Gamma.s are the proved ones, and each translated member of the cover is priced by the proved translated single-shell display isBigOWith_gammaSigma_shellDerivGauge_cube_translate (ABK26's e.nabla.jk.O at a base point, which is available at the same amplitude as at the origin by the one-shell stationarity of TranslatedTransport.lean). The base points compose: covering the translated cube z + cu_l by translates of cu_k is covering cu_l by translates of cu_k and then translating the shell, which is translate_translate below.

The amplitudes are therefore identical to the centered ones; the base point z is a silent parameter throughout.

Main results #

References #

Elementary rewrites #

Composition of the translation action #

The translated covering maximum #

The probabilistic half of e.W1inf.jL.bound.smaller at an arbitrary base point: the covering maximum of the translated own-scale derivative gauges obeys the single-shell Γ₂ estimate e.nabla.jk.O with the same amplitude as at the origin, since each member of the cover is itself a translate.

e.W1inf.jL.bound.smaller at a base point #

ABK26's e.W1inf.jL.bound.smaller on the translated cube z + cu_l: for k < l,

3^k ‖∇j_k‖_{L∞(z+cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(z+cu_l)} ≤ O_{Γ₂}(C (l-k)^{1/2} 3^{γk}),

with the same dimensional constant as the centered display.

The uniform per-shell estimate at a base point #

The per-shell estimate on z + cu_l, uniform in the two regimes of the source proof: for n < k,

3^k ‖∇j_k‖_{L∞(z+cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(z+cu_l)} ≤ O_{Γ₂}(C (1 ∨ (l-n))^{1/2} 3^{γk}).