Download lean/OAI/Probability/SKBarriers/Calculus/ParameterRecursion.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.34 kB
| import Mathlib | |
| import OAI.Probability.SKBarriers.Calculus.ParameterDerivatives | |
| import OAI.Probability.SKBarriers.Calculus.ParameterInverse | |
| import OAI.Probability.SKBarriers.Calculus.ParameterSmooth | |
| namespace OAI | |
| section | |
| section | |
| noncomputable section | |
| open scoped BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| namespace SK.Analytic | |
| section ParameterRecursion | |
| variable {P E : Type} [NormedAddCommGroup P] [NormedSpace ℝ P] | |
| [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| theorem ParamRegular.log_gaussian_exp {f : P × (E × ℝ) → ℝ} (hf : ParamRegular f) : | |
| ParamRegular (fun z : P × E => Real.log | |
| (∫ y, Real.exp (f (z.1,(z.2,y))) ∂gaussianReal 0 1)) := by | |
| have hg : ParamExpGrowth (fun z => Real.exp (f z)) := by | |
| simpa only [one_mul] using hf.2.1.exp_mul 1 | |
| have h₁ := param_fderiv_exp_growth f id (hf.1.differentiable (by norm_num)) hg hf.2.2.1 | |
| have h₂ := param_second_exp_growth f id hf.1 hg hf.2.2.1 hf.2.2.2 | |
| let Z := fun z : P × E => ∫ y, Real.exp (f (z.1,(z.2,y))) ∂gaussianReal 0 1 | |
| have hZ := param_gaussian_smooth (fun z => Real.exp (f z)) hf.1.exp hg h₁ h₂ | |
| have hp (z : P × E) : Z z ≠ 0 := by | |
| apply (integral_exp_pos _).ne' | |
| apply hg.weakLocallyDominated.integrable_section | |
| exact Real.continuous_exp.comp (hf.1.continuous.comp | |
| (continuous_fst.fst.prodMk (continuous_fst.snd.prodMk continuous_snd))) | |
| have hi : ParamExpGrowth (fun z => (Z z)⁻¹) := hf.2.1.inv_gaussian_exp hf.1.continuous | |
| exact ⟨hZ.1.log hp,hf.2.1.log_gaussian_exp hf.1.continuous, | |
| param_fderiv_log_growth Z id (hZ.1.differentiable (by norm_num)) hp hi hZ.2.1, | |
| param_second_log_growth Z id hZ.1 hp hi hZ.2.1 hZ.2.2⟩ | |
| theorem ParamRegular.gaussianStep {f : P × (E × ℝ) → ℝ} (hf : ParamRegular f) (m : ℝ) : | |
| ParamRegular (gaussianStep m (fun z : (P × E) × ℝ => f (z.1.1,(z.1.2,z.2)))) := by | |
| change ParamRegular (fun z : P × E => if m = 0 then | |
| ∫ y, f (z.1,(z.2,y)) ∂gaussianReal 0 1 else | |
| Real.log (∫ y, Real.exp (m*f (z.1,(z.2,y))) ∂gaussianReal 0 1) / m) | |
| by_cases hm : m = 0 | |
| · subst m | |
| simpa only [ite_true] using hf.gaussian_integral | |
| · have H := ((hf.const_mul m).log_gaussian_exp).const_mul m⁻¹ | |
| simpa only [ite_eq_right hm,div_eq_mul_inv,mul_comm] using H | |
| end ParameterRecursion | |
| end SK.Analytic | |
| end | |
| end | |
| end | |
| end OAI | |