Download lean/OAI/Probability/SKBarriers/Calculus/ParameterComposition.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.56 kB
| import Mathlib | |
| import OAI.Probability.SKBarriers.Calculus.ParameterGrowth | |
| namespace OAI | |
| section | |
| section | |
| noncomputable section | |
| open scoped BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| namespace SK.Analytic | |
| section ParameterComposition | |
| variable {P E X Y : Type} [NormedAddCommGroup P] [NormedAddCommGroup E] | |
| [NormedAddCommGroup X] [NormedSpace ℝ X] [NormedAddCommGroup Y] [NormedSpace ℝ Y] | |
| theorem param_fderiv_compCLM_growth (f : Y → ℝ) (L : X →L[ℝ] Y) (ι : P × E → X) | |
| (hf : Differentiable ℝ f) | |
| (h : ParamExpGrowth (fun z => fderiv ℝ f (L (ι z)))) : | |
| ParamExpGrowth (fun z => fderiv ℝ (fun x => f (L x)) (ι z)) := by | |
| apply h.of_norm_le (norm_nonneg L) | |
| intro z | |
| have he : fderiv ℝ (fun x => f (L x)) (ι z) = (fderiv ℝ f (L (ι z))).comp L := | |
| ((hf (L (ι z))).hasFDerivAt.comp (ι z) L.hasFDerivAt).fderiv | |
| rw [he] | |
| exact (ContinuousLinearMap.opNorm_comp_le _ _).trans_eq (mul_comm _ _) | |
| theorem param_second_compCLM_growth (f : Y → ℝ) (L : X →L[ℝ] Y) (ι : P × E → X) | |
| (hf : ContDiff ℝ 2 f) | |
| (h : ParamExpGrowth (fun z => fderiv ℝ (fderiv ℝ f) (L (ι z)))) : | |
| ParamExpGrowth (fun z => fderiv ℝ (fderiv ℝ (fun x => f (L x))) (ι z)) := by | |
| let A : (Y →L[ℝ] ℝ) →L[ℝ] X →L[ℝ] ℝ := (ContinuousLinearMap.compL ℝ X Y ℝ).flip L | |
| have hA (B : Y →L[ℝ] ℝ) : A B = B.comp L := rfl | |
| have hAn : ‖A‖ ≤ ‖L‖ := by | |
| apply ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg _) | |
| intro B | |
| rw [hA] | |
| exact (ContinuousLinearMap.opNorm_comp_le _ _).trans_eq (mul_comm _ _) | |
| have hd := hf.differentiable (by norm_num) | |
| have hdd := (hf.fderiv_right (m := 1) (by norm_num)).differentiable (by norm_num) | |
| have heq : fderiv ℝ (fun x => f (L x)) = fun x => A (fderiv ℝ f (L x)) := by | |
| funext x | |
| exact ((hd (L x)).hasFDerivAt.comp x L.hasFDerivAt).fderiv | |
| apply h.of_norm_le (mul_nonneg (norm_nonneg L) (norm_nonneg L)) | |
| intro z | |
| have hsec := A.hasFDerivAt.comp (ι z) | |
| ((hdd (L (ι z))).hasFDerivAt.comp (ι z) L.hasFDerivAt) | |
| change HasFDerivAt (fun x => A (fderiv ℝ f (L x))) | |
| (A.comp ((fderiv ℝ (fderiv ℝ f) (L (ι z))).comp L)) (ι z) at hsec | |
| rw [heq,hsec.fderiv] | |
| calc | |
| _ ≤ ‖A‖*‖(fderiv ℝ (fderiv ℝ f) (L (ι z))).comp L‖ := ContinuousLinearMap.opNorm_comp_le _ _ | |
| _ ≤ ‖L‖*(‖fderiv ℝ (fderiv ℝ f) (L (ι z))‖*‖L‖) := by | |
| gcongr | |
| exact ContinuousLinearMap.opNorm_comp_le _ _ | |
| _ = _ := by ring | |
| end ParameterComposition | |
| end SK.Analytic | |
| end | |
| end | |
| end | |
| end OAI | |