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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.Calculus.ParameterAlgebra
namespace OAI
section
section
noncomputable section
open scoped BigOperators
open MeasureTheory ProbabilityTheory Filter
namespace SK.Analytic
theorem ParamExpGrowth.weakSmul {P E F : Type} [NormedAddCommGroup P]
[NormedAddCommGroup E] [Norm F] [SMul ℝ F] {f : P × E → ℝ} {g : P × E → F}
(hf : ParamExpGrowth f) (hg : ParamExpGrowth g)
(hn : ∀ z, 0 ≤ ‖g z‖) (hm : ∀ z, ‖f z • g z‖ ≤ ‖f z‖*‖g z‖) :
ParamExpGrowth (fun z => f z • g z) := by
apply (hf.norm.mul (hg.weakNorm hn)).of_norm_le zero_le_one
intro z
rw [one_mul,Real.norm_eq_abs,abs_mul,abs_of_nonneg (norm_nonneg (f z)),abs_of_nonneg (hn z)]
exact hm z
section ParameterProduct
variable {P E : Type} [NormedAddCommGroup P] [NormedSpace ℝ P]
[NormedAddCommGroup E] [NormedSpace ℝ E]
theorem ParamSmooth.mul {f g : P × E → ℝ} (hf : ParamSmooth f) (hg : ParamSmooth g) :
ParamSmooth (fun z => f z*g z) := by
have hd := hf.1.differentiable (by norm_num)
have he := hg.1.differentiable (by norm_num)
have hdd := (hf.1.fderiv_right (m := 1) (by norm_num)).differentiable (by norm_num)
have hee := (hg.1.fderiv_right (m := 1) (by norm_num)).differentiable (by norm_num)
have h₁ : fderiv ℝ (fun z => f z*g z) = fun z =>
f z • fderiv ℝ g z+g z • fderiv ℝ f z := by
funext z
exact ((hd z).hasFDerivAt.fun_mul (he z).hasFDerivAt).fderiv
have h₂ : fderiv ℝ (fderiv ℝ (fun z => f z*g z)) = fun z =>
(f z • fderiv ℝ (fderiv ℝ g) z+(fderiv ℝ f z).smulRight (fderiv ℝ g z))+
(g z • fderiv ℝ (fderiv ℝ f) z+(fderiv ℝ g z).smulRight (fderiv ℝ f z)) := by
rw [h₁]
funext z
exact (((hd z).hasFDerivAt.fun_smul (hee z).hasFDerivAt).fun_add
((he z).hasFDerivAt.fun_smul (hdd z).hasFDerivAt)).fderiv
refine ⟨hf.1.mul hg.1,hf.2.1.mul hg.2.1,?_,?_⟩
· rw [h₁]
exact (hf.2.1.smul hg.2.2.1).add (hg.2.1.smul hf.2.2.1)
· rw [h₂]
exact ((hf.2.1.weakSmul hg.2.2.2 (fun _ => ContinuousLinearMap.opNorm_nonneg _)
(fun _ => ContinuousLinearMap.opNorm_smul_le _ _)).weakAdd (hf.2.2.1.smulRight hg.2.2.1)
(fun _ => ContinuousLinearMap.opNorm_add_le _ _)).weakAdd
((hg.2.1.weakSmul hf.2.2.2 (fun _ => ContinuousLinearMap.opNorm_nonneg _)
(fun _ => ContinuousLinearMap.opNorm_smul_le _ _)).weakAdd (hg.2.2.1.smulRight hf.2.2.1)
(fun _ => ContinuousLinearMap.opNorm_add_le _ _))
(fun _ => ContinuousLinearMap.opNorm_add_le _ _)
theorem ParamSmooth.const_mul {f : P × E → ℝ} (hf : ParamSmooth f) (c : ℝ) :
ParamSmooth (fun z => c*f z) := (paramSmooth_const c).mul hf
theorem ParamSmooth.gaussian_integral {f : P × (E × ℝ) → ℝ} (hf : ParamSmooth f) :
ParamSmooth (fun z : P × E => ∫ y, f (z.1,(z.2,y)) ∂gaussianReal 0 1) := by
have h := param_gaussian_smooth f hf.1 hf.2.1 hf.2.2.1 hf.2.2.2
exact ⟨h.1,hf.2.1.gaussian_integral,h.2⟩
end ParameterProduct
end SK.Analytic
end
end
end
end OAI