import Mathlib import OAI.Probability.SKBarriers.Calculus.CubeMoments import OAI.Probability.SKBarriers.Calculus.CoordinateBounds namespace OAI section section noncomputable section open scoped BigOperators Topology open MeasureTheory ProbabilityTheory Filter noncomputable section open MeasureTheory Set Filter open scoped Topology Interval noncomputable section open MeasureTheory Set open scoped Interval namespace SK.Analytic theorem stronglyConvex_linear_variance_le (n : ℕ) (V : ParameterSpace n → ℝ) (hV : ContDiff ℝ 2 V) (hV₀ : ∀ z, parameterDerivative n V z = 0) (L : ParameterSpace n →L[ℝ] ℝ) (hL₀ : L (parameterAxis n) = 0) {c A : ℝ} (hc : 0 < c) (hA : 0 ≤ A) (hL : ∀ u, (L u)^2 ≤ A*coordinateSquare n u) (hH : ∀ z u, c*coordinateSquare n u ≤ Hessian V z u u) : let Z := ∫ z, Real.exp (-V z) ∂fiberMeasure n 0 (∫ z, (L z)^2*Real.exp (-V z) ∂fiberMeasure n 0)/Z - ((∫ z, L z*Real.exp (-V z) ∂fiberMeasure n 0)/Z)^2 ≤ A/c := by obtain ⟨hI₀,hIq⟩ := integrable_stronglyConvex_density n V hV hc hH have hI₂ : Integrable (fun z => (L z)^2*Real.exp (-V z)) (fiberMeasure n 0) := by apply (hIq.const_mul A).mono' ((L.continuous.pow 2).mul hV.neg.exp.continuous).aestronglyMeasurable filter_upwards [] with z change ‖(L z)^2*Real.exp (-V z)‖ ≤ _ rw [Real.norm_eq_abs, abs_of_nonneg (mul_nonneg (sq_nonneg _) (Real.exp_pos _).le)] exact (mul_le_mul_of_nonneg_right (hL z) (Real.exp_pos _).le).trans_eq (mul_assoc _ _ _) have hI₁ : Integrable (fun z => L z*Real.exp (-V z)) (fiberMeasure n 0) := by apply (hI₀.add hI₂).mono' (L.continuous.mul hV.neg.exp.continuous).aestronglyMeasurable filter_upwards [] with z change ‖L z*Real.exp (-V z)‖ ≤ Real.exp (-V z)+(L z)^2*Real.exp (-V z) rw [Real.norm_eq_abs, abs_mul, abs_of_pos (Real.exp_pos _)] have hle : |L z| ≤ 1+(L z)^2 := by nlinarith [sq_nonneg (|L z|-1), sq_abs (L z)] nlinarith [mul_le_mul_of_nonneg_right hle (Real.exp_pos (-V z)).le] exact linear_variance_le n V hV hV₀ L hL₀ hc hA hL hH hI₀ hI₁ hI₂ section HessianComposition variable {E F : Type} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] theorem hessian_comp_linear (V : F → ℝ) (hV : ContDiff ℝ 2 V) (T : E →L[ℝ] F) (x u v : E) : Hessian (fun z => V (T z)) x u v = Hessian V (T x) (T u) (T v) := by have hD : fderiv ℝ (fun z => V (T z)) = fun z => (fderiv ℝ V (T z)).comp T := by funext z exact ((hV.differentiable (by norm_num) (T z)).hasFDerivAt.comp z T.hasFDerivAt).fderiv have hdV := (hV.fderiv_right (m := 1) (by norm_num)).differentiable (by norm_num) have hd := ((hdV (T x)).hasFDerivAt.comp x T.hasFDerivAt).clm_comp (hasFDerivAt_const T x) simp only [Function.comp_def] at hd rw [Hessian, hD, hd.fderiv] simp [Hessian] theorem hessian_linear (L : E →L[ℝ] ℝ) (x u v : E) : Hessian L x u v = 0 := by have hD : fderiv ℝ (fun z => L z) = fun _ => L := funext (fun _ => L.hasFDerivAt.fderiv) change Hessian (fun z => L z) x u v = 0 simp [Hessian, hD] end HessianComposition theorem contDiff_coordinateSquare (n : ℕ) : ContDiff ℝ 2 (coordinateSquare n) := by induction n with | zero => exact contDiff_const | succ n ih => exact (ih.comp contDiff_fst).add (contDiff_snd.pow 2) theorem hessian_coordinateSquare (n : ℕ) (x u : ParameterSpace n) : Hessian (coordinateSquare n) x u u = 2*coordinateSquare n u := by induction n with | zero => simp [coordinateSquare, Hessian] | succ n ih => let fst := ContinuousLinearMap.fst ℝ (ParameterSpace n) ℝ let snd := ContinuousLinearMap.snd ℝ (ParameterSpace n) ℝ change Hessian (fun z => coordinateSquare n (fst z)+(snd z)^2) x u u = _ have hf : ContDiff ℝ 2 (fun z => coordinateSquare n (fst z)) := (contDiff_coordinateSquare n).comp fst.contDiff rw [hessian_add hf (snd.contDiff.pow 2), hessian_comp_linear _ (contDiff_coordinateSquare n) fst] have hsq : (fun z => (snd z)^2) = fun z => snd z*snd z := by funext z; ring rw [hsq, hessian_linear_product, ih] change 2*coordinateSquare n u.1 + (u.2*u.2+u.2*u.2) = 2*(coordinateSquare n u.1+u.2^2) ring end SK.Analytic end end end end end end OAI