CaccioppoliInteriorPrefactor #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Discharging the Caccioppoli prefactor from the good-event ellipticity caps #
CoarseGraining's coarse Caccioppoli with right-hand side carries the prefactor
(C/σ)^{2 + 4s/σ} · s^{-2s/σ} · Θ_{s,t}^{(1-t)/σ} , σ = 1 - s - t ,
with Θ_{s,t} = Λ_{s,1}/λ_{t,1} — the q = 1 coarse-grained ellipticity
constants. The proved good-event caps (GoodEventCaps.lean,
SlotTransportChildCube.lean) bound the q = 2 ratios. This module
supplies the two missing pieces:
- the
q = 1 ← q = 2comparison forΛandλ⁻¹(§1). The weights of the two definitions coincide,w_{u,1} = w_{u/2,2}, and CoarseGraining's own Jensen split then gives
with no constant.Λ_{u,1} ≤ Λ_{u/2,2} , λ_{u,1}^{-1} ≤ λ_{u/2,2}^{-1} - the parameter choice that makes the prefactor a dimensional constant
(§2--§3). The Caccioppoli's first exponent is a free parameter of the
lemma; taking it to be the absolute constant
1/4and the second to bet = s/4gives, for everys ∈ (0,1],
so the prefactor is at mostσ = 3/4 - s/4 ∈ [1/2, 3/4) , 2 + 4·(1/4)/σ ≤ 4 , (1/4)^{-2·(1/4)/σ} ≤ 4 , (1-t)/σ ≤ 2 ,(2 max(1,C))^4 · 4 · Θ_0^2— no transcendental estimate is needed anywhere, and the wholes-dependence of the estimate is pushed into the forcing factort^{-8}(1-2t)^{-1} ≤ 131072 s^{-8}(§3).
The index choice is exactly what the caps admit: the q = 1 ← q = 2 step at
index u needs the q = 2 cap at u/2, and the caps hold for every q = 2
index ≥ s/8; here u = 1/4 gives 1/8 ≥ s/8 (as s ≤ 1) and u = s/4 gives
exactly s/8.
Deviation from print, recorded #
The specialization chosen here is (1/4, s/4); it yields the squared forcing
envelope s^{-8}, i.e. s^{-4} on the un-squared display, which is
stronger than the printed s^{-11/2} on 0 < s ≤ 1 (s^{-8} ≤ s^{-11}
squared). Both forms are delivered: the honest s^{-8} and, by weakening, the
printed s^{-11}.
References #
- ABK26,
l.coarse.grained.Caccioppoli.RHS;e.energy.bound.interior;e.compareEqs. - CoarseGraining,
Ch02.LambdaSq_finite_one_le_tsum_weighted_maxDescendantBMatrixNormAtScale,Ch02.lambdaSq_finite_one_inv_le_tsum_weighted_maxDescendantSigmaStarInvMatrixNormAtScale,Ch02.LambdaSqFinite_rpow_q_div_two_eq_tsum,Ch02.one_le_ThetaRatio_of_pos.
1. The q = 1 ← q = 2 comparison for the ellipticity constants #
Λ_{u,2} is the weighted shell series of the operator norms.
λ_{u,2}⁻¹ is the weighted shell series of the inverse lower norms.
The q = 1 ← q = 2 comparison for the upper constant.
Λ_{u,1}(Q; a) ≤ Λ_{u/2,2}(Q; a)
with no constant: the two weight families coincide and CoarseGraining's Jensen
split turns the q = 1 square root into the q = 2 linear series.
The q = 1 ← q = 2 comparison for the inverse lower constant.
λ_{u,1}(Q; a)⁻¹ ≤ λ_{u/2,2}(Q; a)⁻¹ .
2. From the q = 2 ratio cap to the q = 1 ingredients #
The upper q = 1 cap. A q = 2 ratio cap at index u/2 caps the
q = 1 upper constant at index u.
The lower q = 1 cap. A q = 2 ratio cap at index u/2 caps the
inverse q = 1 lower constant at index u.
The lower constant is dominated by the upper one at any two positive indices
(CoarseGraining's one_le_ThetaRatio_of_pos, read as an inequality).
The contrast Θ is capped by the product of the two q = 1 caps.
3. The prefactor and the forcing factor at the chosen parameters #
The prefactor at (s_c, t_c) = (1/4, s/4) is a constant.
For every s ∈ (0,1], every C ≥ 1 and every cap Θ ≤ Θ₀,
(C/σ)^{2+4·(1/4)/σ} · (1/4)^{-2·(1/4)/σ} · Θ^{(1-s/4)/σ} ≤ (2C)^4 · 4 · Θ₀² ,
σ = 1 - 1/4 - s/4 ∈ [1/2, 3/4). Every step is a rational comparison of rpow
exponents; no transcendental estimate is used.