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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.BoundsEaL.GradSlotMoment

GradSlotMoment #

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

B6, first half: the Γ₂ display of the L-free gradient slot #

What this module does #

ShellSlotBounds.lFreeGradSlot m T R ω is

3^{2j} ( Σ_{i ∈ (j−2, m]} ‖∇ j_i‖_{W^{1,∞}(3^j v + □_j)}  +  T j v ω ) ,

This module produces the Step-4 target shape 𝒪_{Γ₂}(^{γj}) for that object, and isolates exactly one layer that the shape does not yet cover.

References #

1. The layer gauge, and the deep block #

noncomputable def Algsuperdiff.Section4.Provider.BoundsEaL.gradLayerGauge {d : ℕ} (k : ℤ) (v : Fin d → ℤ) (omega : Section3.Cutoff.CutoffSample d) (i : ℤ) :

One layer of the gradient slot: ‖∇ j_i‖_{W^{1,∞}(3^k v + □_k)}.

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    noncomputable def Algsuperdiff.Section4.Provider.BoundsEaL.deepGradTerm {d : ℕ} (k : ℤ) (v : Fin d → ℤ) (omega : Section3.Cutoff.CutoffSample d) (i : ℤ) :

    The layer term of the D block: the layers whose shell index is at least the cube scale, where the proved per-shell display applies.

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      The deep block of the gradient slot, before the cube weight.

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        2. The per-layer Γ₂ display at the cube weight #

        The weighted layer display. For a shell index i at least the cube scale k, the weighted layer 3^{2k} ‖∇ j_i‖_{W^{1,∞}(3^k v + □_k)} has a Γ₂ upper tail at amplitude 3^{k + (γ−1)i}.

        3. The geometric amplitude sum #

        The absolute constant of the deep block. Only γ ≤ 1/4 enters.

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          4. The deep block's Γ₂ display #

          The ℕ-indexed reading of the deep block.

          B6, first half: the deep block of the gradient slot has the Step-4 target shape.

          3^{2j} Σ_{i ≥ j} ‖∇ j_i‖_{W^{1,∞}(3^j v + □_j)} = 𝒪_{Γ₂}(^{γ j}) with the explicit absolute constant C = gammaTriangleConst 2 · (1 − 3^{γ−1})^{-1}. No exponent is moved: the per-layer amplitude is the manuscript's own 3^{(γ−1)i}, the cube weight contributes 3^{k}, and the geometric sum over i ≥ k contributes 3^{γk}(1 − 3^{γ−1})^{-1}.

          5. The slot decomposition: the deep block plus ONE bottom layer #

          theorem Algsuperdiff.Section4.Provider.BoundsEaL.deepGradTerm_eq_add {d : ℕ} (m k : ℤ) (v : Fin d → ℤ) (omega : Section3.Cutoff.CutoffSample d) (hkm : k ≤ m) (i : ℤ) :
          deepGradTerm k v omega i = tailLayerTerm m k v omega i + if k ≤ i ∧ i ≤ m then gradLayerGauge k v omega i else 0

          The layer bookkeeping: below the truncation the deep term splits into the (m, ∞) tail term and a finitely supported middle block.

          theorem Algsuperdiff.Section4.Provider.BoundsEaL.headLayerSum_add_tailSeriesGauge_eq {d : ℕ} (m k : ℤ) (v : Fin d → ℤ) (omega : Section3.Cutoff.CutoffSample d) (hkm : k ≤ m) (hsum : Summable (tailLayerTerm m k v omega)) :
          headLayerSum m k v omega + tailSeriesGauge m k v omega = gradLayerGauge k v omega (k - 1) + deepGradSeries k v omega

          The slot bracket, resolved. Wherever the upper shell series converges, the L-free bracket of the gradient slot is the bottom layer i = k − 1 plus the deep block.

          B6, first half: the gradient slot resolved almost surely.

          At the canonical tail gauge the L-free gradient slot is, almost surely, the weighted bottom layer i = R.scale − 1 plus the weighted deep block.