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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.Homogenization.HomCGFinalDuality

HomCGFinalDuality #

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

The Step-4 duality carrier, produced from the smooth dual at the lower order #

What this file supplies #

HomCGFinalTestClass proves the test-class comparison at s′ < s. This file turns it into the Step-4 consumer's carrier and records the numeral compatibility of the two constants.

The numeral check: compatible, and free #

The admissible window of the order-loss route is 0 < (s-s′)·p′ < d. At the spine's own numerals this is satisfied with room to spare, and — the point — it needs NOTHING beyond the bundle's printed guard:

At the pin p = 4d this reads p′ = 4d/(4d-1) ≤ 4/3 and s ≤ 1/4, so the margin is larger still. With s = |log γ|⁻¹ the constraint is vacuous. There is no interaction with s₁ = s/4 or with s < s₂ < 1: the re-cut's choice of s′ is independent of both, because s′ occurs ONLY on the CoarseGraining side of the conversion.

1. The conjugate exponent is at most 2 above 2 #

p ≥ 2 ⟹ p′ ≤ 2, straight from conjExponent p = 1 + (p-1)⁻¹.

The printed guard s + d/p ≤ 1/2 forces 2 ≤ p once 1 ≤ d and 0 < s.

3. The Step-4 carrier from a smooth-dual level #

The Step-4 duality carrier, produced.

D is any real level of the smooth W^{-s′,p} dual of F on Q; the output is the WeakNegDualBoundOn at the DATA order s, level K_test·D. With D = 3^{s′m}·RHS (the display's own level at s′) and K_test = d·3^{m(s-s′)}·(1+C), the produced level is d(1+C)·3^{sm}·RHS — the printed duality level, up to the dimensional constant which the bundle's C_cg absorbs.