401 lines
13 KiB
Plaintext
401 lines
13 KiB
Plaintext
import Mathlib.Analysis.Calculus.FDeriv.Basic
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import Mathlib.Analysis.Calculus.FDeriv.Symmetric
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import Mathlib.Analysis.Calculus.ContDiff.Basic
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import Mathlib.Topology.Basic
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import Mathlib.Topology.Defs.Filter
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variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
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variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
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variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
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variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
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variable (𝕜)
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noncomputable def partialDeriv : E → (E → F) → (E → F) :=
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fun v ↦ (fun f ↦ (fun w ↦ fderiv 𝕜 f w v))
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theorem partialDeriv_eventuallyEq'
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{f₁ f₂ : E → F}
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{x : E}
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(h : f₁ =ᶠ[nhds x] f₂) :
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∀ v : E, partialDeriv 𝕜 v f₁ =ᶠ[nhds x] partialDeriv 𝕜 v f₂ := by
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unfold partialDeriv
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intro v
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apply Filter.EventuallyEq.comp₂
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exact Filter.EventuallyEq.fderiv h
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simp
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theorem partialDeriv_smul₁ {f : E → F} {a : 𝕜} {v : E} : partialDeriv 𝕜 (a • v) f = a • partialDeriv 𝕜 v f := by
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unfold partialDeriv
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conv =>
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left
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intro w
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rw [map_smul]
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theorem partialDeriv_add₁ {f : E → F} {v₁ v₂ : E} : partialDeriv 𝕜 (v₁ + v₂) f = (partialDeriv 𝕜 v₁ f) + (partialDeriv 𝕜 v₂ f) := by
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unfold partialDeriv
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conv =>
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left
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intro w
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rw [map_add]
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theorem partialDeriv_smul₂ {f : E → F} {a : 𝕜} {v : E} : partialDeriv 𝕜 v (a • f) = a • partialDeriv 𝕜 v f := by
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unfold partialDeriv
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funext w
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have : a • f = fun y ↦ a • f y := by rfl
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rw [this]
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by_cases ha : a = 0
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· rw [ha]
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simp
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· by_cases hf : DifferentiableAt 𝕜 f w
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· rw [fderiv_const_smul hf]
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simp
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· have : ¬DifferentiableAt 𝕜 (fun y => a • f y) w := by
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by_contra contra
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let ZZ := DifferentiableAt.const_smul contra a⁻¹
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have : (fun y => a⁻¹ • a • f y) = f := by
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funext i
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rw [← smul_assoc, smul_eq_mul, mul_comm, mul_inv_cancel ha]
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simp
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rw [this] at ZZ
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exact hf ZZ
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simp
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rw [fderiv_zero_of_not_differentiableAt hf]
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rw [fderiv_zero_of_not_differentiableAt this]
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simp
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theorem partialDeriv_add₂ {f₁ f₂ : E → F} (h₁ : Differentiable 𝕜 f₁) (h₂ : Differentiable 𝕜 f₂) : ∀ v : E, partialDeriv 𝕜 v (f₁ + f₂) = (partialDeriv 𝕜 v f₁) + (partialDeriv 𝕜 v f₂) := by
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unfold partialDeriv
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intro v
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have : f₁ + f₂ = fun y ↦ f₁ y + f₂ y := by rfl
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rw [this]
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conv =>
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left
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intro w
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left
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rw [fderiv_add (h₁ w) (h₂ w)]
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theorem partialDeriv_add₂_differentiableAt
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{f₁ f₂ : E → F}
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{v : E}
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{x : E}
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(h₁ : DifferentiableAt 𝕜 f₁ x)
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(h₂ : DifferentiableAt 𝕜 f₂ x) :
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partialDeriv 𝕜 v (f₁ + f₂) x = (partialDeriv 𝕜 v f₁) x + (partialDeriv 𝕜 v f₂) x := by
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unfold partialDeriv
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have : f₁ + f₂ = fun y ↦ f₁ y + f₂ y := by rfl
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rw [this]
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rw [fderiv_add h₁ h₂]
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rfl
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theorem partialDeriv_add₂_contDiffAt
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{f₁ f₂ : E → F}
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{v : E}
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{x : E}
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(h₁ : ContDiffAt 𝕜 1 f₁ x)
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(h₂ : ContDiffAt 𝕜 1 f₂ x) :
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partialDeriv 𝕜 v (f₁ + f₂) =ᶠ[nhds x] (partialDeriv 𝕜 v f₁) + (partialDeriv 𝕜 v f₂) := by
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obtain ⟨f₁', u₁, hu₁, _, hf₁'⟩ := contDiffAt_one_iff.1 h₁
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obtain ⟨f₂', u₂, hu₂, _, hf₂'⟩ := contDiffAt_one_iff.1 h₂
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apply Filter.eventuallyEq_iff_exists_mem.2
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use u₁ ∩ u₂
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constructor
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· exact Filter.inter_mem hu₁ hu₂
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· intro x hx
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simp
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apply partialDeriv_add₂_differentiableAt 𝕜
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exact (hf₁' x (Set.mem_of_mem_inter_left hx)).differentiableAt
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exact (hf₂' x (Set.mem_of_mem_inter_right hx)).differentiableAt
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theorem partialDeriv_compContLin
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{f : E → F}
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{l : F →L[𝕜] G}
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{v : E}
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(h : Differentiable 𝕜 f) :
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partialDeriv 𝕜 v (l ∘ f) = l ∘ partialDeriv 𝕜 v f := by
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unfold partialDeriv
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conv =>
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left
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intro w
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left
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rw [fderiv.comp w (ContinuousLinearMap.differentiableAt l) (h w)]
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simp
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rfl
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theorem partialDeriv_compContLinAt {f : E → F} {l : F →L[𝕜] G} {v : E} {x : E} (h : DifferentiableAt 𝕜 f x) : (partialDeriv 𝕜 v (l ∘ f)) x = (l ∘ partialDeriv 𝕜 v f) x:= by
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unfold partialDeriv
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rw [fderiv.comp x (ContinuousLinearMap.differentiableAt l) h]
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simp
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theorem partialDeriv_compCLE {f : E → F} {l : F ≃L[𝕜] G} {v : E} : partialDeriv 𝕜 v (l ∘ f) = l ∘ partialDeriv 𝕜 v f := by
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funext x
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by_cases hyp : DifferentiableAt 𝕜 f x
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· let lCLM : F →L[𝕜] G := l
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suffices shyp : partialDeriv 𝕜 v (lCLM ∘ f) x = (lCLM ∘ partialDeriv 𝕜 v f) x from by tauto
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apply partialDeriv_compContLinAt
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exact hyp
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· unfold partialDeriv
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rw [fderiv_zero_of_not_differentiableAt]
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simp
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rw [fderiv_zero_of_not_differentiableAt]
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simp
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exact hyp
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rw [ContinuousLinearEquiv.comp_differentiableAt_iff]
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exact hyp
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theorem partialDeriv_contDiff {n : ℕ} {f : E → F} (h : ContDiff 𝕜 (n + 1) f) : ∀ v : E, ContDiff 𝕜 n (partialDeriv 𝕜 v f) := by
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unfold partialDeriv
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intro v
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let A := (contDiff_succ_iff_fderiv.1 h).right
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simp at A
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have : (fun w => (fderiv 𝕜 f w) v) = (fun f => f v) ∘ (fun w => (fderiv 𝕜 f w)) := by
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rfl
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rw [this]
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refine ContDiff.comp ?hg A
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refine ContDiff.of_succ ?hg.h
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refine ContDiff.clm_apply ?hg.h.hf ?hg.h.hg
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exact contDiff_id
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exact contDiff_const
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theorem partialDeriv_contDiffAt {n : ℕ} {f : E → F} {x : E} (h : ContDiffAt 𝕜 (n + 1) f x) : ∀ v : E, ContDiffAt 𝕜 n (partialDeriv 𝕜 v f) x := by
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unfold partialDeriv
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intro v
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let eval_at_v : (E →L[𝕜] F) →L[𝕜] F :=
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{
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toFun := fun l ↦ l v
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map_add' := by simp
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map_smul' := by simp
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}
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have : (fun w => (fderiv 𝕜 f w) v) = eval_at_v ∘ (fun w => (fderiv 𝕜 f w)) := by
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rfl
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rw [this]
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apply ContDiffAt.continuousLinearMap_comp
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-- ContDiffAt 𝕜 (↑n) (fun w => fderiv 𝕜 f w) x
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apply ContDiffAt.fderiv_right h
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rfl
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lemma partialDeriv_fderiv {f : E → F} (hf : ContDiff 𝕜 2 f) (z a b : E) :
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fderiv 𝕜 (fderiv 𝕜 f) z b a = partialDeriv 𝕜 b (partialDeriv 𝕜 a f) z := by
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unfold partialDeriv
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rw [fderiv_clm_apply]
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· simp
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· exact (contDiff_succ_iff_fderiv.1 hf).2.differentiable le_rfl z
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· simp
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lemma partialDeriv_fderivOn
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{s : Set E}
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{f : E → F}
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(hs : IsOpen s)
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(hf : ContDiffOn 𝕜 2 f s) (a b : E) :
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∀ z ∈ s, fderiv 𝕜 (fderiv 𝕜 f) z b a = partialDeriv 𝕜 b (partialDeriv 𝕜 a f) z := by
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intro z hz
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unfold partialDeriv
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rw [fderiv_clm_apply]
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· simp
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· convert DifferentiableOn.differentiableAt _ (IsOpen.mem_nhds hs hz)
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apply ContDiffOn.differentiableOn _ (Submonoid.oneLE.proof_2 ℕ∞)
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exact ((contDiffOn_succ_iff_fderiv_of_isOpen hs).1 hf).2
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· simp
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lemma partialDeriv_fderivAt
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{z : E}
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{f : E → F}
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(hf : ContDiffAt 𝕜 2 f z)
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(a b : E) :
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fderiv 𝕜 (fderiv 𝕜 f) z b a = partialDeriv 𝕜 b (partialDeriv 𝕜 a f) z := by
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unfold partialDeriv
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rw [fderiv_clm_apply]
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simp
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-- DifferentiableAt 𝕜 (fun w => fderiv 𝕜 f w) z
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obtain ⟨f', ⟨u, h₁u, h₂u⟩, hf' ⟩ := contDiffAt_succ_iff_hasFDerivAt.1 hf
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have t₁ : (fun w ↦ fderiv 𝕜 f w) =ᶠ[nhds z] f' := by
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apply Filter.eventuallyEq_iff_exists_mem.2
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use u
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constructor
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· exact h₁u
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· intro x hx
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exact HasFDerivAt.fderiv (h₂u x hx)
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rw [Filter.EventuallyEq.differentiableAt_iff t₁]
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exact hf'.differentiableAt le_rfl
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-- DifferentiableAt 𝕜 (fun w => a) z
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exact differentiableAt_const a
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theorem partialDeriv_eventuallyEq {f₁ f₂ : E → F} {x : E} (h : f₁ =ᶠ[nhds x] f₂) : ∀ v : E, partialDeriv 𝕜 v f₁ x = partialDeriv 𝕜 v f₂ x := by
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unfold partialDeriv
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rw [Filter.EventuallyEq.fderiv_eq h]
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exact fun v => rfl
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section restrictScalars
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theorem partialDeriv_smul'₂
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(𝕜 : Type*) [NontriviallyNormedField 𝕜]
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{𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜']
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{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
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{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedSpace 𝕜' F]
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[IsScalarTower 𝕜 𝕜' F]
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{f : E → F} {a : 𝕜'} {v : E} :
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partialDeriv 𝕜 v (a • f) = a • partialDeriv 𝕜 v f := by
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funext w
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by_cases ha : a = 0
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· unfold partialDeriv
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have : a • f = fun y ↦ a • f y := by rfl
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rw [this, ha]
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simp
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· -- Now a is not zero. We present scalar multiplication with a as a continuous linear equivalence.
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let smulCLM : F ≃L[𝕜] F :=
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{
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toFun := fun x ↦ a • x
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map_add' := fun x y => DistribSMul.smul_add a x y
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map_smul' := fun m x => (smul_comm ((RingHom.id 𝕜) m) a x).symm
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invFun := fun x ↦ a⁻¹ • x
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left_inv := by
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intro x
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simp
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rw [← smul_assoc, smul_eq_mul, mul_comm, mul_inv_cancel ha, one_smul]
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right_inv := by
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intro x
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simp
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rw [← smul_assoc, smul_eq_mul, mul_inv_cancel ha, one_smul]
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continuous_toFun := continuous_const_smul a
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continuous_invFun := continuous_const_smul a⁻¹
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}
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have : a • f = smulCLM ∘ f := by tauto
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rw [this]
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rw [partialDeriv_compCLE]
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tauto
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theorem partialDeriv_restrictScalars
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(𝕜 : Type*) [NontriviallyNormedField 𝕜]
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{𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜']
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{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedSpace 𝕜' E]
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[IsScalarTower 𝕜 𝕜' E]
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{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedSpace 𝕜' F]
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[IsScalarTower 𝕜 𝕜' F]
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{f : E → F} {v : E} :
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Differentiable 𝕜' f → partialDeriv 𝕜 v f = partialDeriv 𝕜' v f := by
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intro hf
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unfold partialDeriv
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funext x
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rw [(hf x).fderiv_restrictScalars 𝕜]
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simp
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theorem partialDeriv_comm
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{E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
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{F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F]
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{f : E → F} (h : ContDiff ℝ 2 f) :
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∀ v₁ v₂ : E, partialDeriv ℝ v₁ (partialDeriv ℝ v₂ f) = partialDeriv ℝ v₂ (partialDeriv ℝ v₁ f) := by
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intro v₁ v₂
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funext z
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have derivSymm :
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(fderiv ℝ (fun w => fderiv ℝ f w) z) v₁ v₂ = (fderiv ℝ (fun w => fderiv ℝ f w) z) v₂ v₁ := by
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let f' := fderiv ℝ f
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have h₀ : ∀ y, HasFDerivAt f (f' y) y := by
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intro y
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exact DifferentiableAt.hasFDerivAt ((h.differentiable one_le_two) y)
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let f'' := (fderiv ℝ f' z)
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have h₁ : HasFDerivAt f' f'' z := by
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apply DifferentiableAt.hasFDerivAt
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apply (contDiff_succ_iff_fderiv.1 h).right.differentiable (Submonoid.oneLE.proof_2 ℕ∞)
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apply second_derivative_symmetric h₀ h₁ v₁ v₂
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rw [← partialDeriv_fderiv ℝ h z v₂ v₁]
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rw [derivSymm]
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rw [partialDeriv_fderiv ℝ h z v₁ v₂]
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theorem partialDeriv_commOn
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{E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
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{F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F]
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{s : Set E}
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{f : E → F}
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(hs : IsOpen s)
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(h : ContDiffOn ℝ 2 f s) :
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∀ v₁ v₂ : E, ∀ z ∈ s, partialDeriv ℝ v₁ (partialDeriv ℝ v₂ f) z = partialDeriv ℝ v₂ (partialDeriv ℝ v₁ f) z := by
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intro v₁ v₂ z hz
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have derivSymm :
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(fderiv ℝ (fun w => fderiv ℝ f w) z) v₁ v₂ = (fderiv ℝ (fun w => fderiv ℝ f w) z) v₂ v₁ := by
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let f' := fderiv ℝ f
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have h₀1 : ∀ y ∈ s, HasFDerivAt f (f' y) y := by
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intro y hy
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apply DifferentiableAt.hasFDerivAt
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apply DifferentiableOn.differentiableAt _ (IsOpen.mem_nhds hs hy)
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apply h.differentiableOn one_le_two
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let f'' := (fderiv ℝ f' z)
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have h₁ : HasFDerivAt f' f'' z := by
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apply DifferentiableAt.hasFDerivAt
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apply DifferentiableOn.differentiableAt _ (IsOpen.mem_nhds hs hz)
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apply ContDiffOn.differentiableOn _ (Submonoid.oneLE.proof_2 ℕ∞)
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exact ((contDiffOn_succ_iff_fderiv_of_isOpen hs).1 h).2
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have h₀' : ∀ᶠ (y : E) in nhds z, HasFDerivAt f (f' y) y := by
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apply eventually_nhds_iff.mpr
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use s
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exact second_derivative_symmetric_of_eventually h₀' h₁ v₁ v₂
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rw [← partialDeriv_fderivOn ℝ hs h v₂ v₁ z hz]
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rw [derivSymm]
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rw [← partialDeriv_fderivOn ℝ hs h v₁ v₂ z hz]
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theorem partialDeriv_commAt
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{E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
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{F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F]
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{z : E}
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{f : E → F}
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(h : ContDiffAt ℝ 2 f z) :
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∀ v₁ v₂ : E, partialDeriv ℝ v₁ (partialDeriv ℝ v₂ f) z = partialDeriv ℝ v₂ (partialDeriv ℝ v₁ f) z := by
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obtain ⟨u, hu₁, hu₂⟩ := h.contDiffOn le_rfl
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obtain ⟨v, hv₁, hv₂, hv₃⟩ := mem_nhds_iff.1 hu₁
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intro v₁ v₂
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exact partialDeriv_commOn hv₂ (hu₂.mono hv₁) v₁ v₂ z hv₃
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