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LeanPool.Superdiffusion.Algsuperdiff.StochasticProcess.Common.DivergenceForm.WholeSpace.LocalizedBoundaryAsymptotics

LocalizedBoundaryAsymptotics #

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

The elementary asymptotic behind localized conservativity #

An exponential in the inward triadic distance dominates both the volume-order prefactor and one logarithmic loss in the localized decay rate. The proof compares everything with (sqrt 3)^m and keeps exp opaque.

theorem DivergenceFormProcess.Form.tendsto_triadicVolume_mul_exp_neg_triadic_div_linear (d : ℕ) {C c : ℝ} (hC : 0 ≤ C) (hc : 0 < c) :
Filter.Tendsto (fun (m : ℕ) => C * (↑m + 1) * (3 ^ d) ^ m * Real.exp (-(c * 3 ^ m / (↑m + 1)))) Filter.atTop (nhds 0)

A volume-order geometric prefactor times an exponential with one linear loss in the exponent tends to zero along the triadic exhaustion.