SigmaBarBridge #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Comparing the generator and canonical running diffusivities #
The generator-renormalization theorem introduces a positive scalar through an
existential quantifier, while the localized quantities use
Annealed.sigmaBar. Both scalars satisfy the same relative approximation to
the explicit square-root scale. The triangle inequality therefore compares
the existential scalar directly with the canonical one.
theorem
Algsuperdiff.Section5.Support.generatorSigmaBar_close_to_sigmaBar_of_approx
(d : ℕ)
(cstar : ℝ)
(hcstar : 0 < cstar)
:
∃ (gamma0 : ℝ) (Cind : ℝ),
0 < gamma0 ∧ 0 < Cind ∧ ∀ (M : Section3.ABKModel d),
Section3.Disorder.cstar M = cstar →
M.gamma ≤ gamma0 →
∀ (m : ℤ) (Cgen sigmaBarM : ℝ),
0 < Cgen →
0 < sigmaBarM →
|sigmaBarM - √(M.nu ^ 2 + cstar * M.gamma⁻¹ * Real.rpow 3 (2 * M.gamma * ↑m))| ≤ Cgen * √M.gamma * |Real.log M.gamma| * sigmaBarM →
|sigmaBarM - ↑(Section3.Annealed.sigmaBar M m)| ≤ max Cgen (Cind * cstar⁻¹ ^ 2) * √M.gamma * |Real.log M.gamma| * (sigmaBarM + ↑(Section3.Annealed.sigmaBar M m))
Any positive scalar satisfying the generator approximation is close to the canonical running diffusivity. This form keeps the comparison attached to the same scalar used by a caller's other conclusions.