PerCubeSlotCommon #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Step 5's per-cube evaluation: the shared slot bounds #
What this module supplies #
Four evaluations shared by the three summands of Step 3's display:
- This is the one place where the two random slots become a
γ-power: bullet (B3) at the (B5) index, exactly asSigmaBarLandmarkrecords. bracketMajorant_le— hence the bracket majorant is1 + O(1)on the anchor's own range (√(rγ) ≤ 1, whichp ≤ C^{-1}γ^{-1}sdelivers). This is the step that makes Step 5's bracket harmless at largep, and it is where the printedq³e^{−C^{-1}γ^{-1}}of bullet (B5)'s moment conversion is spent.inv_sigmaBar_le_weight,lambdaSlotMajorant_le_weight— the twoσ-gauges with the3^{γ·}weight moved to the other side, which is how the per-scale factor3^{γ(m−j)}of Step 5's geometric sum is produced.
References #
- ABK26,
l.bounds.mathcal.E.aL, Step 4, Step 5.
1. The product of bullets (B6a) and (B5) #
The constant of the (B6a)·(B5) product: 16 C(2) · fullGradBound · c⋆^{-1/2} · lambdaSlotFactorBound.
Equations
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Instances For
THE (B6a)·(B5) IS O(√r √γ).
The 3^{γj} of bullet (B6a) meets the σ_{j−1}^{-1} of bullet (B5), and (B3)
at that index turns the pair into 16 c⋆^{-1/2} √γ.
2. The bracket majorant is bounded #
The bracket is O(1) at large p.
On the anchor's own range -- 2r ≤ γ^{-1}, which p ≤ C^{-1}γ^{-1}s delivers
at every exponent Step 5 uses -- the bracket majorant is at most 1 + slotProductBound.
3. The two gauges, with the weight inverted #
σ_m^{-1} ≤ 3^{−γm} · 4 c⋆^{-1/2}√γ.
Λ_{(B5)}(r) ≤ 3^{−γj} · 16 c⋆^{-1/2}√γ · lambdaSlotFactorBound.
4. The squared value slot #
The dimensional width of the value slot: the L∞ leg's constant plus the
mean-value tail's.
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The squared value slot.