Documentation

LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.BoundsEaL.PerCubeSlotFirst

PerCubeSlotFirst #

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

Step 5's first summand, evaluated at the anchor's scalar #

What this module does #

PerCubeFirstThird.lintegral_rpow_step3FirstTerm_le supplies the first summand's q-th moment at the symbolic majorant 4C · R_bracket · R_{B4}². This module evaluates it against the anchor's own slot K p γ s^{-2}:

That second point is the only place where the printed Γ_{1/2} lane has to be priced; it costs no p-restriction whatsoever.

References #

1. The squared (2,2)-error majorant #

The constant of the squared (B4) majorant: the Γ₂ lane's 24 C(2)² pen₂² C² c⋆^{-2} plus the Γ_{1/2} lane's, the latter priced by x^5 e^{-x} ≤ 5!.

Equations
  • One or more equations did not get rendered due to their size.
Instances For
    theorem Algsuperdiff.Section4.Provider.BoundsEaL.errSlotSquareBound_pos (d : ℕ) {cst C : ℝ} (hcst : 0 < cst) (hC : 0 < C) :
    theorem Algsuperdiff.Section4.Provider.BoundsEaL.errSlotMajorant_sq_le (d : ℕ) (M : Section3.ABKModel d) {C s q : ℝ} (hC : 0 < C) (hs : 0 < s) (hs1 : s ≤ 1) (hq : 1 ≤ q) (hqg : q ≤ M.gamma⁻¹) :

    The squared (2,2)-error majorant is O(q γ s^{-2}).

    Both printed lanes are evaluated: the Γ₂ lane is the anchor's own (s^{-1}√q√γ)², and the Γ_{1/2} lane's q⁴e^{−2C^{-1}c⋆³γ^{-1}} is at most 5!(2C^{-1}c⋆³)^{-5} γ on the anchor's own range q ≤ γ^{-1}.

    2. The first summand at the anchor's first slot #

    theorem Algsuperdiff.Section4.Provider.BoundsEaL.exists_lintegral_rpow_step3FirstTerm_slot (d : ℕ) (cstar : ℝ) (hcstar : 0 < cstar) :
    ∃ (Creg : ℝ) (A : ℝ), 0 < Creg ∧ 0 < A ∧ ∀ (M : Section3.ABKModel d), Section3.Disorder.cstar M = cstar → M.gamma ≤ Creg⁻¹ ^ 10 → M.gamma ≤ 1 / 8 → ∀ (Cd : ℝ), 0 ≤ Cd → ∀ (s : ℝ), 0 < s → s ≤ 1 / 4 → 8 * M.gamma ≤ s → ∀ (m : ℤ) (R : HCPolySupport.TriadicCube d), R.scale ≤ m → ∀ (q : ℝ), 1 ≤ q → 8 * q ≤ M.gamma⁻¹ → ∫⁻ (omega : Section3.Cutoff.CutoffSample d), ENNReal.ofReal (step3FirstTerm Cd M m R omega s (lFreeGradSlot m (tailSeriesGauge m) R omega)) ^ q ∂↑(Section3.Cutoff.cutoffSampleLaw M) ≤ ENNReal.ofReal (Cd * A * (q * (M.gamma * (s⁻¹ * s⁻¹)))) ^ q

    The first summand, evaluated.

    ∫⁻ (step3FirstTerm)^q ≤ (ofReal (C_d A q γ s^{-2}))^q, uniformly in the descendant scale: this is the anchor's own first slot.