StepSevenWireCgMatching #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
t.regularity Step 7d: matching l.coarse.graining.RHS to the §4.4 data #
The gap this module closes #
e.cg.Poincare.with.rhs.grad.applied is proved with its first conditional input
named hcg:
besov ≤ Ccg · (√lamInv · gradLoc) + Ccg · (lamInv · dataLoc) .
Here exists_stepSevenCgPoincareInput produces the hcg shape verbatim, and
composing it with hlambda gives the display's first inequality. hcg is
therefore no longer a conditional input of the Step-7d chain.
The carrier match, binder by binder #
scaleNormalizedNegativeBesovVectorNorm Q s (.finite 2) (∇u)
≤ C s^{-3/2} λ_{s/2,2}^{-1/2}(Q;a) ‖∇u‖_{energy}
+ C s^{-3} λ_{s/2,2}^{-1}(Q;a) [𝐠]_{B^s_{2,2}(Q)} ,
which is the printed e.cg.Poincare.with.rhs.grad character for character: the
s^{-3/2} λ^{-1/2} / s^{-3} λ^{-1} pair, the note-normalized
3^{-sm}‖∇u‖_{B^{-s}_{2,2}} on the left, and 3^{sm}[𝐠]_{H^s} on the right.
besov⇝scaleNormalizedNegativeBesovVectorNorm Q s (.finite 2) (∇u).lamInv⇝stepSevenCgLamInv Q a s = λ_{s/2,2}^{-1}(Q;𝐚), defined here as therpow-(-1)power ofCh02.lambdaSq, i.e. literally the second leg's own ellipticity factor.sqrt_stepSevenCgLamInv_eqproves that its square root is literally the first leg'spoincareLowerEllipticityFactor, so the two legs are weighted by one object — the object a future Step-7b theorem (e.lambda.stability.applied) must bound byC σ_{m'}^{-1}. This is the carrier that the Step-7c and Step-7dhlambdaslots both consume, so one Step-7b theorem discharges both.dataLoc⇝scaleNormalizedPositiveBesovVectorSeminormTwo Q s g.Ccg⇝C · s^{-3}: the two printeds-powers are collapsed to the larger one, which is legitimate exactly becauses ≤ 1(rpow_neg_three_halves_le_rpow_neg_three). Nothing else is enlarged.
Off-grid: the §4.4 window z'+□_{m'-1} #
z'+□_{m'-1} is not a TriadicCube — z' is the clamped, off-lattice centre.
The instantiation route is the convention translate the sample, never the
cube: the theorems below are applied at Q := originCube d (m'-1), which is a
TriadicCube, with the translated sample
a ↦ 𝐚_{L,m'}(z'+·) , u ↦ u(z'+·) , g ↦ 𝐠(z'+·) ,
whose forced-equation binder is the
isForcedEquation_fluxCorrectedCoeffFamily_of_isDirichletSolutionOn route and
whose L² carriers transport by normalizedL2SqOnSet_translateSet /
normalizedSetAverage_translateSet. No new analysis is used and no statement
is transported here: the §4.4 scalars are the translated-frame objects, exactly
as the Step-7c matching leaves its own carrier bridge to the caller.
References #
- ABK26,
l.coarse.graining.RHS. - ABK26,
e.cg.Poincare.with.rhs.grad.applied. - CoarseGraining,
Homogenization/Book/Ch03/Theorems/CoarsePoincare.lean.
1. The ellipticity carrier shared by the two legs #
The coarse-grained ellipticity weight of l.coarse.graining.RHS:
λ_{s/2,2}^{-1}(Q;𝐚), the object the printed display carries with a square
root on the gradient leg and in full on the data leg. This is the lamInv
slot's hcg, and the object e.lambda.stability.applied must bound by C σ^{-1}. It is coarse-grained: no bare ellipticity of 𝐚 occurs.
Equations
Instances For
The two legs carry ONE ellipticity object. The gradient leg's
poincareLowerEllipticityFactor Q a (s/2) (.finite 2) = λ_{s/2,2}^{-1/2} is
the square root of the data leg's stepSevenCgLamInv Q a s = λ_{s/2,2}^{-1}.
This is what lets's hlambda be a SINGLE scalar inequality.
2. The s-power collapse #
s^{-3/2} ≤ s^{-3} for 0 < s ≤ 1: the two printed prefactors of
l.coarse.graining.RHS collapse to the larger one, which is what lets the hcg
slot carry a single Ccg.
l.coarse.graining.RHS, matched to the hcg slot.
For every triadic cube Q, every coefficient family 𝐚, every exponent
s ∈ (0,1), every forcing 𝐠 ∈ H^s(Q) and every H¹(Q) solution of
-∇·𝐚∇u = ∇·𝐠,
3^{-sm}‖∇u‖_{B^{-s}_{2,2}(Q)}
≤ (C s^{-3})·(√(λ_{s/2,2}^{-1})·‖∇u‖_{energy})
+ (C s^{-3})·(λ_{s/2,2}^{-1}·3^{sm}[𝐠]_{H^s(Q)}) ,
which is stepSevenCgPoincareApplied's hcg hypothesis verbatim at
Ccg = C s^{-3} and lamInv = stepSevenCgLamInv Q a s. Unconditional beyond
the printed lemma's own binders.
The coarse-graining exponent matched to the first regularity step.
Equations
Instances For
The pin makes the two s-prefactors absolute numerals: s₀^{-3} = 64 (and
s₀^{-3/2} = 8, dominated by it).
l.coarse.graining.RHS at the §4.4 pin s₀ = 1/4. The hcg shape with the
prefactor an absolute numeral 64 C.