import Mathlib import OAI.Probability.SKBarriers.Scalar.ScalarMomentSquare namespace OAI section noncomputable section open scoped BigOperators NNReal Topology open MeasureTheory ProbabilityTheory Filter Set namespace SK.Analytic attribute [local instance 2000] parameterNormedGroup parameterNormedSpace theorem scalarMomentSquare_eq_parameterAverage (n : ℕ) (m v : Fin n → ℝ) (F H : ℝ → ℝ → ℝ) (x a : ℝ) (hf : BoundedDerivs (scalarParameterTerminal n v F x)) (j : Fin (n+1)) : scalarMomentSquare n m v (F a) (H a) j x = hierarchyAverage n m (scalarParameterTerminal n v F x) (fun z => (hierarchyMomentLevel n m (scalarParameterTerminal n v F x) (scalarParameterTerminal n v H x) j z)^2) a := by induction n generalizing F H with | zero => simp [scalarMomentSquare,hierarchyAverage,hierarchyMomentLevel, scalarParameterTerminal,coordinateLinear,parameter] | succ n ih => refine Fin.lastCases ?_ (fun j => ?_) j · simp only [scalarMomentSquare,Fin.lastCases_last,hierarchyMomentLevel] exact (hierarchyAverage_scalarParameterTerminal (n+1) m v F (fun a x => (H a x)^2) x a).symm · simp only [scalarMomentSquare,hierarchyMomentLevel,Fin.lastCases_castSucc,hierarchyAverage] rw [gaussianAverage_const_prefix hf (m (Fin.last n)) (fun z => (hierarchyMomentLevel n (fun i => m i.castSucc) (gaussianStep (m (Fin.last n)) (scalarParameterTerminal (n+1) v F x)) (gaussianAverage (m (Fin.last n)) (scalarParameterTerminal (n+1) v F x) (scalarParameterTerminal (n+1) v H x)) j z)^2)] simp only [gaussianStep_scalarParameterTerminal,gaussianAverage_scalarParameterTerminal] have hf' := hf.gaussianStep (m (Fin.last n)) rw [gaussianStep_scalarParameterTerminal] at hf' exact ih (fun i => m i.castSucc) (fun i => v i.castSucc) (fun a => scalarStep (m (Fin.last n)) (v (Fin.last n)) (F a)) (fun a => scalarStepAverage (m (Fin.last n)) (v (Fin.last n)) (F a) (H a)) hf' j end SK.Analytic end end end OAI