Amplitude-generic leading-energy estimates on the actual datum and T iterates. The quadratic error has amplitude S squared; the base consumes only integrated gradients.
theorem
AVenhance.Infra.Section5.RelativeError.relative_leading_energy_of_bounds
(β C₀ A : ℝ)
(hA : 1 ≤ A)
:
∃ (C : ℝ),
∀ (I : Ingredients β),
I.Czeta ≤ C₀ →
I.Cxi ≤ C₀ →
I.Chat ≤ C₀ →
C ≤ ↑I.Λ →
∀ (Φ : ℕ → ℝ → Homogenization.Vec 2 → ℝ) (hΦ : IsStreamSeq I Φ),
∀ κ ∈ permissibleSet β I.Λ,
∀ (M : ℕ),
1 ≤ M →
κ ∈ permittedInterval β I.Λ M →
∀ (m : ℕ),
2 ≤ m →
m ≤ M →
∀ (S : ℝ),
0 ≤ S →
∀ (θ₀ : Homogenization.Vec 2 → ℝ) (θprev : ℝ → Homogenization.Vec 2 → ℝ)
(T : ℕ → ℝ → Homogenization.Vec 2 → ℝ),
I.IsTIterates hΦ m (I.kappaSeq κ M m) (I.kappaSeq κ M (m - 1)) θ₀ θprev T →
√(I.kappaSeq κ M (m - 1)) * √(spaceTimeGradNormSq fun (t : ℝ) (x : Homogenization.Vec 2) =>
spaceGrad (T (Nstar β) t) x) ≤ A * S →
√(spaceTimeGradNormSq
(LeftToShow.materialGrad (streamVel (Φ (m - 1))) (T (Nstar β)))) ≤ A * epsilon β I.Λ (m - 1) ^ (3 * delta β) * (√(I.kappaSeq κ M (m - 1)))⁻¹ * S * (tauP β I.Λ m)⁻¹ →
PositiveTemperatureJets A (epsilon β I.Λ (m - 1) ^ (1 + gamma β / 2)) S
(T (Nstar β)) →
(∀ t ∈ Set.Ioo 0 1,
∀ (k : ℤ),
Odd k →
I.xiMK m k t ≠ 0 →
AnalyticBridge.FlowForErgodicBound A (epsilon β I.Λ (m - 1))
(I.xFlow hΦ m (lIdx β I.Λ m k) t)) →
|I.kappaSeq κ M m * spaceTimeGradNormSq
(LeftToShow.leadingGrad I hΦ m (I.kappaSeq κ M m) (T (Nstar β))) - I.kappaSeq κ M (m - 1) * spaceTimeGradNormSq fun (t : ℝ) (x : Homogenization.Vec 2) =>
spaceGrad (T (Nstar β) t) x| ≤ C * epsilon β I.Λ (m - 1) ^ (2 * delta β) * S ^ 2
e.left.to.show (additive), conditional only on source estimates for T_{m-1} and the flows:
e.Tm.reg.upgrade (n = 0 L²_tH¹ part hT0, and all orders L∞_tL²_x hTall), e.barf.cascade
(n = 0, ℓ = 1, hDt) and e.flow.for.ergodic on supp ξ_{m,k} (hFlow), all with one constant
A ≥ 1 (they weaken as A grows).