import Mathlib import OAI.MeasureTheory.Falconer.Model import OAI.MeasureTheory.FalconerCompletion.Graphs.SuffixDescendants import OAI.MeasureTheory.FalconerCompletion.Recursion.RecursiveEnvironment import OAI.MeasureTheory.FalconerCompletion.Recursion.RecursiveUnit namespace OAI /-! Recursive policies and quantitative depth estimates. -/ open _root_.OAI.PlanarFalconer section section open Set MeasureTheory open scoped ComplexConjugate RealInnerProductSpace namespace GraphLiteralSupport.CurrentFalconer.TreeND open Set MeasureTheory Filter PlanarFalconer open scoped ContDiff Classical variable {n : ℕ} noncomputable def recursiveLoss (n : ℕ) (C : ℝ) : ℝ := |C|+100*(n+2:ℝ) lemma recursiveLoss_pos (n : ℕ) (C : ℝ) : 0 (pathIndex X j:ℤ)) (fun j => (pathIndex Y j:ℤ))) : CentreSeparated X Y a K := by unfold CentreSeparated treeCenter rw [hX,hY] change K/8/(2:ℝ)^a≤_ ∧ _≤_ simpa only [Attempt4FullFar.farSeparatedGridND,div_div,ambientGridCenter,Attempt4FullFar.ambientGridCenter] using h lemma RecursiveEnvironmentND.distance_mem (e : RecursiveEnvironmentND n) (K : ℝ) (W : Finset (List (EuclideanSpace ℝ (Fin (n+1)) →L[ℝ] EuclideanSpace ℝ (Fin (n+1))))) (total : ℕ) (Ψ : ℝ → ℝ) (a t i : ℕ) (X Y : CellPath (n+1)) (hX : X∈dyadicPaths a) (hY : Y∈dyadicPaths a) (hox : 0 (pathIndex X j:ℤ)) (fun j => (pathIndex Y j:ℤ))) : e.energies K W total Ψ (.D a t i) ((e.distanceData a t i X Y).coincidence.toReal) := ⟨X,Y,hX,hY,hox,hoy,hsep,rfl⟩ end GraphLiteralSupport.CurrentFalconer.TreeND end end end OAI