Download lean/OAI/Geometry/SmoothYau/Estimates/DirectionalLinearComp.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Geometry/SmoothYau/Estimates/DirectionalLinearComp.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Geometry/SmoothYau/Estimates/DirectionalLinearComp.lean
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curl -L -o DirectionalLinearComp.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Geometry/SmoothYau/Estimates/DirectionalLinearComp.lean
2.47 kB
| import Mathlib | |
| namespace OAI | |
| noncomputable section | |
| open Set Filter Function | |
| open scoped Topology ContDiff InnerProductSpace | |
| namespace YauCounterexamples | |
| variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| [NormedAddCommGroup F] [NormedSpace ℝ F] | |
| lemma directional_linear_comp (L : E →L[ℝ] F) {f : F → ℂ} | |
| (hf : Differentiable ℝ f) (x v : E) : | |
| fderiv ℝ (f ∘ L) x v = fderiv ℝ f (L x) (L v) := by | |
| rw [fderiv_comp x (hf _) L.differentiableAt,L.fderiv] | |
| rfl | |
| lemma second_linear_comp (L : E →L[ℝ] F) {f : F → ℂ} | |
| (hf : ContDiff ℝ ∞ f) (x v w : E) : | |
| fderiv ℝ (fun y => fderiv ℝ (f ∘ L) y w) x v = | |
| fderiv ℝ (fun y => fderiv ℝ f y (L w)) (L x) (L v) := by | |
| simp_rw [directional_linear_comp L (hf.differentiable (by simp))] | |
| exact directional_linear_comp L | |
| (((hf.fderiv_right (m:=∞) (by simp)).clm_apply contDiff_const).differentiable (by simp)) x v | |
| lemma directional_mul_complex {f g : E → ℂ} (hf : Differentiable ℝ f) | |
| (hg : Differentiable ℝ g) (x v : E) : | |
| fderiv ℝ (fun y => f y*g y) x v = fderiv ℝ f x v*g x+f x*fderiv ℝ g x v := by | |
| have hh := ((hf x).hasFDerivAt.mul (hg x).hasFDerivAt).fderiv | |
| change fderiv ℝ (f*g) x v = _ | |
| rw [hh] | |
| simp [smul_eq_mul,mul_comm,add_comm] | |
| lemma second_mul_complex {f g : E → ℂ} (hf : ContDiff ℝ ∞ f) | |
| (hg : ContDiff ℝ ∞ g) (x v w : E) : | |
| fderiv ℝ (fun y => fderiv ℝ (fun z => f z*g z) y w) x v = | |
| fderiv ℝ (fun y => fderiv ℝ f y w) x v*g x + | |
| fderiv ℝ f x w*fderiv ℝ g x v + | |
| fderiv ℝ f x v*fderiv ℝ g x w + | |
| f x*fderiv ℝ (fun y => fderiv ℝ g y w) x v := by | |
| have hd := hf.differentiable (by simp) | |
| have he := hg.differentiable (by simp) | |
| have hd' := ((hf.fderiv_right (m:=∞) (by simp)).clm_apply | |
| (contDiff_const : ContDiff ℝ ∞ (fun (_:E) => w))).differentiable (by simp) | |
| have he' := ((hg.fderiv_right (m:=∞) (by simp)).clm_apply | |
| (contDiff_const : ContDiff ℝ ∞ (fun (_:E) => w))).differentiable (by simp) | |
| simp_rw [directional_mul_complex hd he] | |
| change fderiv ℝ ((fun y => fderiv ℝ f y w)*g+f*(fun y => fderiv ℝ g y w)) x v = _ | |
| rw [fderiv_add ((hd' x).mul (he x)) ((hd x).mul (he' x))] | |
| simp only [add_apply] | |
| change fderiv ℝ (fun y => fderiv ℝ f y w*g y) x v + fderiv ℝ (fun y => f y*fderiv ℝ g y w) x v = _ | |
| rw [directional_mul_complex hd' he,directional_mul_complex hd he'] | |
| ring | |
| end YauCounterexamples | |
| end | |
| end OAI | |