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Add lean source and binary files (part 125)
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import Mathlib
namespace OAI
section
section
noncomputable section
namespace LogConcaveSampling.CompactIntegral
open Set Function Filter MeasureTheory Metric
open scoped Topology
variable {E F : Type} [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F]
omit [CompleteSpace F] in
lemma parametric_hasFDerivAt {f : E × ℝ → F} (hf : ContDiff ℝ 1 f)
{s : Set ℝ} (hs : IsCompact s) (x : E) :
HasFDerivAt (fun x => ∫t in s,f (x,t))
(∫t in s,(fderiv ℝ f (x,t)).comp (ContinuousLinearMap.inl ℝ E ℝ)) x := by
let D := fun p : E × ℝ => (fderiv ℝ f p).comp (ContinuousLinearMap.inl ℝ E ℝ)
have hD : Continuous D := (hf.continuous_fderiv (by norm_num)).clm_comp continuous_const
obtain ⟨C,hC⟩ := ((isCompact_closedBall x 1).prod hs).exists_bound_of_continuousOn hD.continuousOn
apply hasFDerivAt_integral_of_dominated_of_fderiv_le
(F':=fun y t => D (y,t)) (bound:=fun _ => C) (ball_mem_nhds x zero_lt_one)
· exact Eventually.of_forall fun y => (hf.continuous.comp (continuous_const.prodMk continuous_id)).aestronglyMeasurable
· exact (hf.continuous.comp (continuous_const.prodMk continuous_id)).continuousOn.integrableOn_compact hs
· exact (hD.comp (continuous_const.prodMk continuous_id)).aestronglyMeasurable
· filter_upwards [ae_restrict_mem hs.measurableSet] with t ht y hy
exact hC (y,t) ⟨ball_subset_closedBall hy,ht⟩
· exact integrableOn_const hs.measure_ne_top
· filter_upwards [] with t y _hy
exact ((hf.differentiable (by norm_num) (y,t)).hasFDerivAt).comp y
((hasFDerivAt_id (𝕜:=ℝ) y).prodMk (hasFDerivAt_const (𝕜:=ℝ) t y))
theorem contDiff_parametric {f : E × ℝ → F} (n : ℕ)
(hf : ContDiff ℝ (n:WithTop ℕ∞) f) {s : Set ℝ} (hs : IsCompact s) :
ContDiff ℝ (n:WithTop ℕ∞) (fun x => ∫t in s,f (x,t)) := by
induction n generalizing F with
| zero => exact contDiff_zero.mpr (continuous_parametric_integral_of_continuous (f:=fun x t => f (x,t)) hf.continuous hs)
| succ n ih =>
let D := fun p : E × ℝ => (fderiv ℝ f p).comp (ContinuousLinearMap.inl ℝ E ℝ)
have hD : ContDiff ℝ (n:WithTop ℕ∞) D := (hf.fderiv_right (by simp)).clm_comp contDiff_const
have hd (x : E) := parametric_hasFDerivAt (hf.of_le (by exact_mod_cast Nat.succ_pos n)) hs x
rw [show ((n+1:ℕ):WithTop ℕ∞)=(n:WithTop ℕ∞)+1 by simp,contDiff_succ_iff_fderiv]
refine ⟨fun x => (hd x).differentiableAt,?_⟩
refine ⟨by simp,?_⟩
have he : fderiv ℝ (fun x => ∫t in s,f (x,t))=fun x => ∫t in s,D (x,t) := funext fun x => (hd x).fderiv
rw [he]
exact ih hD
theorem smooth_parametric {f : E × ℝ → F} (hf : ContDiff ℝ (⊤:ℕ∞) f)
{s : Set ℝ} (hs : IsCompact s) :
ContDiff ℝ (⊤:ℕ∞) (fun x => ∫t in s,f (x,t)) := by
apply contDiff_infty.mpr
intro n
exact contDiff_parametric n (hf.of_le (WithTop.coe_le_coe.mpr le_top)) hs
end LogConcaveSampling.CompactIntegral
end
end
end
end OAI