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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Multiscale.ConclusionSeam2

ConclusionSeam2 #

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

Seam 2 of Step 3: the cube average over a Whitney layer, and the root #

Step 3's squared three-term wave display is stated at an arbitrary outer-cube scale lout and an arbitrary β„“. Two steps separate it from the printed aggregation:

This module supplies the second of them.

The printed aggregation is; the corrected one is what is proved #

( ⨍_{β–‘ ∈ 𝒲(β–‘_n,k)} Ξ³Β² 3^{-4Ξ³β„“} β€–k_L - k_{n-k-h_k}‖⁴_{L⁴(β–‘)} )^{1/2}
      ≀  ⨍_{β–‘ ∈ 𝒲(β–‘_n,k)} Ξ³ 3^{-2Ξ³β„“} β€–k_L - k_{n-k-h_k}β€–Β²_{L⁴(β–‘)}

is the false inequality √(av XΒ²) ≀ av X for nonnegative X (\avsum is the cardinal average): a payload carried by one of N cubes loses a factor √N, so no dimension-only constant rescues it. Nothing below asserts it.

Ξ³ 3^{-2Ξ³β„“} ( βˆ‘_{β–‘ ∈ 𝒲(β–‘_n,k)} (|β–‘|/|β–‘_n|) ⨍_β–‘ |k_L - k_{n-k-h_k}|⁴ )^{1/2} ,

and dominate it before the root. The domination identity step is exact: the Whitney layer is a sub-family of the depth-(k+h_k) descendants of β–‘_n, the density is nonnegative, and the descendant identity Stream.streamIncrementLpMass_eq_descendantsAverage says the full weighted sum over that depth is the origin-cube mass ⨍_{β–‘_n} |k_L - k_{n-k-h_k}|⁴. Hence

βˆ‘_{β–‘ ∈ 𝒲(β–‘_n,k)} (|β–‘|/|β–‘_n|) ⨍_β–‘ |Β·|⁴  ≀  ⨍_{β–‘_n} |Β·|⁴ ,

sum_cubeMassRatio_mul_cubeAverage_le_streamIncrementLpMass, and its square root is β€–k_L - k_{n-k-h_k}β€–Β²_{L⁴(β–‘_n)} (sqrt_streamIncrementLpMass_four_eq_streamIncrementLpNorm_sq, the identity mass^{1/2} = (mass^{1/4})Β²), which is precisely the left-hand side of the proved squared display. The printed step's defect is the Jensen/ reversal (√(av XΒ²) ≀ av X is false); the volume-weighted normalization is what makes the weighted layer sum a genuine sub-sum of the descendant average.

What this route does cost, stated plainly. Dominating the layer sum by the root mass discards the layer's own mass fraction (β‰ˆ 3^{-k}), so the bound proved below is uniform in the layer index k, not decaying in it. At the time this module proved, the Step-2 chain was defined on the origin cubes only.

There the layer's own mass fraction is kept in the Γ₁ scale and bounded by the proved LayerMass.sum_cubeMassRatio_whitneyLayer_le, so the recovered factor is √(6d) 3^{-k/2} --- and that is all that is recovered.

The two routes are independent and neither implies the other: this module dominates the layer object by the three squared wave terms after collapsing onto the root; the per-cube module prices the same object in Γ₁ at a deterministic shell pair, paying gammaTriangleConst (1/2) for the normalized triangle inequality. The route taken here still collapses to the root: nothing below claims a k-decaying per-layer bound, and the printed 3^{-3k/4} per-layer weight is not derivable in the corrected reading at all --- neither here nor in the per-cube module.

The β„“-instantiation, and why it is not carried here #

The instantiation reads β„“ = m - k - h_k + h_hat_sep with h_k = ⌈b(1-b)⁻¹kβŒ‰ + h_hat_sep + kβ‚€ (e.SW.def's layer sequence). Two arithmetic facts are all it needs: β„“ - h_hat_sep = m - k - h_k, so that the shell index is literally the manuscript's k_{n-k-h_k}; and β„“ ≀ m - 1 < m for k β‰₯ 1, because h_k β‰₯ h_hat_sep + kβ‚€ (add_le_whitneyScaleSeq) makes the h_hat_sep cancel. That is why lout := m is the right outer scale: β„“ < m is exactly the hell : ell < lout binder of the squared display, with no extra hypothesis. Layer 0 is empty, so k β‰₯ 1 is not a restriction.

The instantiation is Ο‰-dependent through h_hat_sep, which is why it is kept apart from the statements below: the pointwise leg of the squared display is quantified over Ο‰ at a fixed β„“ and tolerates it, whereas the three Orlicz legs are statements about the law and need a deterministic β„“. Reconciling the two --- the h_hat_sep-decomposition of the manuscript --- is seam 3 (ConclusionSeam3.lean), and is not performed here. Everything below is stated at a free β„“ and does not mention the layer sequence at all.

What is not proved #

Main results #

References #

The manuscript's β„“ #

The cube average, in the corrected volume-weighted form #

The layer's volume-weighted L^p mass is at most the root cube's ( corrected route). A Whitney layer is a sub-family of the depth-j descendants of β–‘_m, whose full weighted sum is the root mass by the descendant identity Stream.streamIncrementLpMass_eq_descendantsAverage; the density is nonnegative, so dropping the other descendants only decreases the sum.

The root #

(⨍ |Β·|⁴)^{1/2} = β€–Β·β€–Β²_{L⁴}. The L⁴ norm is the fourth root of the mass, so its square is the mass's square root. This is the step that turns the corrected volume-weighted quantity into the left-hand side of the proved squared display.

The seam at the manuscript's own β„“ #

The seam at a deterministic β„“, with the three Orlicz legs #