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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.BoundsEaL.StepFourMoments

StepFourMoments #

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

Step 4's "hence, for every q": the moment reading of the proved bullets #

What this module does #

Step 4 of the proof of l.bounds.mathcal.E.aL lists the inputs of the sensitivity display and converts each into a q-th moment bound.

The bullet table, and where each conversion is:

The three deterministic bullets convert trivially: a probability measure has total mass one, so the q-th moment of a constant is the constant. The four random ones convert through l.moments.gamma.psi, whose q^{1/σ} is √q at σ = 2 (the printed q^{1/2}, and the anchor's √p) and q² at σ = 1/2 (the printed q²).

What is NOT claimed #

The two q-powers are exactly the printed ones and no exponent is moved; the constants are the explicit ones of the proved displays, which the manuscript's C(d, c⋆) convention absorbs.

References #

1. The three deterministic bullets #

2. (B4): the two-term bullet at the literal (2,2) error #

(B4) at every moment q ∈ [1,∞), for the literal (2,2) error.

The printed conversion is E[𝓔_{s,2,2}^q]^{1/q} ≤ C s^{-1} q^{1/2} γ^{1/2} + C q² exp(−C^{-1}γ^{-1}): the √q is the Γ₂ lane's q^{1/σ} at σ = 2 and the q² is the Γ_{1/2} lane's at σ = 1/2. Both are carried verbatim by gammaTwoHalfMomentBound.

3. (B6a): the whole L-free gradient slot #

(B6a) at the slot itself. Almost surely the L-free gradient slot IS the weighted full series, so it inherits the moment bound. This is the form the Step-5 assembly consumes.

4. (B6b): the two legs of the L-free value slot #