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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Multiscale.CrudeResponseBound

CrudeResponseBound #

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

The crude response bounds and the J -> Lambda middle of Step 1 #

This module is the cube/descendant precursor for the middle of Step 1 of p.bfA.multiscalebound (ABK26): the passage from the response J(., p, 0; a_L) and J(., 0, q; a_L) at a fine carrier to the multiscale gauges Lambda_{1/4,2}(z + square_j; a_L) and lambda^{-1}_{1/4,2}(z + square_j; a_L) of the containing cube, and then to a_j through the proved Lambda-half e.big.Lambda.sensitivity and the proved lambda-transfer of entry.

The two crude bounds the manuscript uses with an unnamed C are

J(square, p, 0; a) <= C |p|^2 Lambda_{1/4,2}(square'; a) ,
J(square, 0, q; a) <= C |q|^2 lambda^{-1}_{1/4,2}(square'; a) ,

with square the fine carrier and square' a strictly larger cube.

Carrier scope: the cube precursor and its downstream simplex transfer #

The manuscript applies the two crude bounds at square = spx, a simplex of SW(square_n) contained in the Whitney cube z + square_j. Every statement below is at a triadic descendant cube R of the gauge cube Q; this file itself supplies only that cube-carrier stage. The distinction is mathematically substantive:

states that "the tex's step is recovered by supplying that depth bound". This file proves the scale estimate for the local cube problem (the depth of spx inside z + square_j is 1 + h_{k+1} - h_k, a b-only bound) but not the shape half (a simplex is not a triadic descendant). The final section below proves the scale half at the support cube of a cell of SW(square_m), which is a triadic descendant of the Whitney cube at precisely the printed depth (Whitney.mem_whitneySimplexCells_iff, Whitney.toNat_scale_sub_simplexScale). The downstream simplex files provide the shape transfer, without changing the local scope of the theorems here or conferring graph-node status.

What the two assembled legs are #

The remaining two arrows of Step 1 — the not B_loc reduction of the two gauges at a_j to 10 sigmabar_j^{\pm 1} and the running-diffusivity comparison — are outside this module: the second is proved in JResponseApplication.lean (sigmaBar_le_four_mul_rpow_mul_sigmaBar, sigmaBar_le_four_mul_sigmaBar), and the lambda-half of the first is proved in JSmallness.lean (sigmaBar_le_ten_mul_cubeLowerEllipticity_of_notMem_badLoc).

Main results #

References #

The one-cube Rayleigh form of the two pure legs #

The pure-potential leg at one cube. Combining the identity 2 J(U, p, 0; a) = p . b(U; a) p of e.J.by.means.of.bfA with the Euclidean Rayleigh cap gives

J(z + square_k, p, 0; a) <= (1/2) |b(z + square_k; a)| |p|^2 .

No positivity of b is used: the Rayleigh cap is applied through the absolute value.

The crude response bounds at a triadic descendant #

The scale weight 3^{2s(m-k)} of e.bound.one.cube.by.lambdas is nonnegative.

For every triadic descendant R of Q at scale k, every s > 0 and every admissible exponent,

J(R, p, 0; a)  <=  (1/2) . 3^{2 s (Q.scale - k)} . Lambda_{s,q}(Q; a) . |p|^2 .

The constant is explicit and grows by 3^{2s} per triadic generation of depth; it is 1/2 at k = Q.scale. See the module header for the downstream simplex-dissection route that transports this cube estimate to the manuscript's carrier.

The two legs of Step 1 on the bad-event complement #

The depth of a cell of SW(square_m) inside its Whitney cube #