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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.CoarseEllipticity.GridDominationEndpoint

GridDominationEndpoint #

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

hgrid at the endpoint q = infinity: the direct, pole-free route #

The frozen display Algsuperdiff.Frozen.Section3.coarse_ellipticity_bounds quantifies over every admissible exponent, and its deterministic lower profile at the endpoint is the bare constant (LowerLegProfile.lowerEllipticityProfile_infinity: lowerEllipticityProfile C gamma s infinity = C) --- no pole. That is not an accident of the print: at q = infinity the coarse-grained ellipticity constant is a supremum, not a series (e.coarse.grained.ellipticity.infty),

lambda_{s,infinity}(cu_m;a)^{-1} = sup_{n >= 0} 3^{-2 s n} max_{z in 3^{m-n} Zd cap cu_m}
|sigma_*^{-1}(z + cu_{m-n}; a)| ,

and a supremum of Cdet + (lane at gap n) is at most Cdet + sup_n (lane): the deterministic constant is not multiplied by the number of scales. This module proves that endpoint at this repository's carriers.

Why this is not the finite-q statement with q sent to infinity #

Provider/CoarseEllipticity/GridDomination.lean (at q = 2) and .../GridDominationAllQ.lean (at finite q >= 2) both end in the consumers' series shape X <= sum_k mass * gridWeight rho k * G k, whose deterministic slot is Cdet * (mass * rho^{-1}). Routing the endpoint through that shape is possible --- the supremum is bounded by the series, since every term of the series is nonnegative --- but it is lossy in exactly the wrong place: it reintroduces the factor (2s)^{-1} that the endpoint profile does not have. The theorems below therefore do not go through gridWeight at all. What they deliver is the endpoint's own domination

lambda_{s,infinity}^{-1}(cu_m; a_L) * scaling <= V(omega)      for every omega, every L >= L0,

from a caller-supplied majorant V of the individual weighted grid maxima. Fed with V = Cdet + (summed lane), this is precisely the two-slot family split that LowerLeg.isLowerIntegerFamilyOrlicz_of_familySplit consumes, with the deterministic slot equal to Cdet --- the frozen endpoint profile, with no pole and no fold.

What is proved here #

What is not claimed here #

No block estimate, no e.maxy.bound lift, no base case; nothing below asserts that either leg's payload is satisfiable. In particular the majorant V is the caller's: this module does not construct it, and the per-scale split that would produce it (p.bfA.multiscalebound at the endpoint) is untouched.

References #

1. A scaled supremum bound #

2. The endpoint constants at the Chapter 4 ambient coefficient field #

The endpoint lower constant is the source's supremum, at the Chapter 4 ambient coefficient field, non-elliptic branch included (there both sides are the supremum of {0}, i.e. 0). Unconditional in s.

The endpoint upper constant is the source's supremum, at the Chapter 4 ambient coefficient field, non-elliptic branch included.

3. The endpoint domination from a majorant of the individual maxima #

The endpoint lower domination. Any bound on the individual weighted grid maxima bounds lambda_{s,infinity}^{-1} itself. No summability, no fold, and no s-pole: the gap-0 scale is one of the elements of the supremum.

4. The endpoint at the Section 3 literal observables #

The endpoint lower domination at the Section 3 literal observable, at the centered cube.

The endpoint upper domination at the Section 3 literal observable.

5. The endpoint at the exported observables, in the legs' own shapes #

theorem Algsuperdiff.Section3.Provider.CoarseEllipticity.cutoffLowerEllipticityInv_infinity_mul_forall_le {d : ℕ} (M : ABKModel d) (m : ℤ) {s : ℝ} (hs : 0 < s) {q : CoarseEllipticityExponent} (hqval : ↑q = HCPolySupport.Book.Ch02.MultiscaleExponent.infinity) {L0 : ℤ} {scaling : ℝ} {V : Cutoff.CutoffSample d → ℝ} (hscaling : 0 ≤ scaling) (hV : ∀ (n : ℕ) (omega : Cutoff.CutoffSample d) (L : ℤ), L0 ≤ L → scaling * (Real.rpow 3 (-2 * s * ↑n) * HCPolySupport.Book.Ch04.maxDescendantSigmaStarInvMatrixNormCoeffFieldAtScale (HCPolySupport.originCube d m) (m - ↑n) (Cutoff.coefficientCutoff M.nu L omega)) ≤ V omega) (omega : Cutoff.CutoffSample d) (L : ℤ) :
L0 ≤ L → Observable.cutoffLowerEllipticityInv M m L s hs q omega * scaling ≤ V omega

The lower leg's endpoint domination. Verbatim the hdom binder of LowerLeg.isLowerIntegerFamilyOrlicz_of_familySplit at X L omega = cutoffLowerEllipticityInv M m L s hs q omega * scaling, once the caller takes V omega = Ydet omega + Y omega.

The deterministic slot the caller then gets is whatever V's deterministic part is: at V = Cdet + (summed lane) it is Cdet itself, which is exactly the frozen endpoint profile lowerEllipticityProfile Clow gamma s infinity = Clow. No (2s)^{-1} appears anywhere, because no series is formed.

theorem Algsuperdiff.Section3.Provider.CoarseEllipticity.cutoffUpperEllipticity_infinity_mul_le {d : ℕ} (M : ABKModel d) (m L : ℤ) {s : ℝ} (hs : 0 < s) {q : CoarseEllipticityExponent} (hqval : ↑q = HCPolySupport.Book.Ch02.MultiscaleExponent.infinity) {scaling : ℝ} {V : Cutoff.CutoffSample d → ℝ} (hscaling : 0 ≤ scaling) (hV : ∀ (n : ℕ) (omega : Cutoff.CutoffSample d), scaling * (Real.rpow 3 (-2 * s * ↑n) * HCPolySupport.Book.Ch04.maxDescendantBMatrixNormCoeffFieldAtScale (HCPolySupport.originCube d m) (m - ↑n) (Cutoff.coefficientCutoff M.nu L omega)) ≤ V omega) (omega : Cutoff.CutoffSample d) :
Observable.cutoffUpperEllipticity M m L s hs q omega * scaling ≤ V omega

The upper leg's endpoint domination, at the single cutoff index the upper leg reads its target at. Verbatim the domination slot of the upper payload once the caller takes V omega = Udet omega + Uone omega + Utail omega.