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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Percolation.Numerics

Numerics #

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

Elementary numerical facts for the percolation estimates #

The ABK26 percolation estimates of s.percolation.estimate are quantitative: every bound is an explicit exponential in the scale parameters. This module collects the small real-analysis facts that the quantitative modules Induction.lean and DiameterBound.lean share, so that the probabilistic arguments there are not interleaved with numerical bookkeeping.

Three groups of statements appear.

References #

Elementary numerical facts #

theorem Algsuperdiff.Section3.Provider.Percolation.exp_add_exp_le {E₁ E₂ G : ℝ} (h₁ : E₁ + 1 ≤ G) (h₂ : E₂ + 1 ≤ G) :

Two exponentials, each at least one unit below the target exponent, sum to at most the target exponential.

Passing between products and real exponentials #