openAI-math-dataset / lean /OAI /Probability /SKBarriers /Gaussian /GaussianIntegration.lean
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Add lean source and binary files (part 127)
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import Mathlib
namespace OAI
section
section
noncomputable section
open scoped BigOperators Topology
open MeasureTheory ProbabilityTheory Filter
noncomputable section
open MeasureTheory Set Filter
open scoped Topology Interval
noncomputable section
open MeasureTheory Set
open scoped Interval
noncomputable section
open MeasureTheory Set Filter ProbabilityTheory
open scoped Topology
noncomputable section
open MeasureTheory Set Filter ProbabilityTheory
open scoped Topology NNReal
namespace SK.Analytic
theorem hasDerivAt_standardGaussianPDF (x : ℝ) :
HasDerivAt (gaussianPDFReal 0 1) (-x * gaussianPDFReal 0 1 x) x := by
have h := (((hasDerivAt_id x).pow 2).neg.div_const 2).exp.const_mul
((Real.sqrt (2*Real.pi))⁻¹)
convert! h using 1
· funext y
simp only [gaussianPDFReal,NNReal.coe_one,sub_zero,mul_one,
Pi.neg_apply,Pi.pow_apply,id_eq]
· simp only [Pi.neg_apply,Pi.pow_apply,id_eq]
simp only [gaussianPDFReal,NNReal.coe_one,sub_zero,mul_one]
norm_num
ring
theorem integrable_standardGaussian_iff (f : ℝ → ℝ) :
Integrable f (gaussianReal 0 1) ↔ Integrable (fun x => f x*gaussianPDFReal 0 1 x) := by
rw [gaussianReal_of_var_ne_zero _ (by norm_num : (1 : ℝ≥0) ≠ 0)]
rw [integrable_withDensity_iff_integrable_smul' (measurable_gaussianPDF _ _)
(ae_of_all _ fun _ => gaussianPDF_lt_top)]
simp only [gaussianPDF,ENNReal.toReal_ofReal (gaussianPDFReal_nonneg _ _ _),smul_eq_mul,mul_comm]
theorem gaussian_integral_mul_eq_integral_deriv (f f' : ℝ → ℝ)
(hd : ∀ x, HasDerivAt f (f' x) x)
(hi : Integrable f (gaussianReal 0 1))
(hi' : Integrable f' (gaussianReal 0 1))
(hix : Integrable (fun x => x*f x) (gaussianReal 0 1)) :
(∫ x, x*f x ∂gaussianReal 0 1) = ∫ x, f' x ∂gaussianReal 0 1 := by
have hi₀ := (integrable_standardGaussian_iff f).mp hi
have hi₁ := (integrable_standardGaussian_iff f').mp hi'
have hi₂ := (integrable_standardGaussian_iff (fun x => x*f x)).mp hix
have hx : Integrable (fun x => f x*(-x*gaussianPDFReal 0 1 x)) := by
convert hi₂.neg using 1
funext x
change _ = -(x*f x*gaussianPDFReal 0 1 x)
ring
have h := integral_mul_deriv_eq_deriv_mul_of_integrable
(fun x _ => hd x) (fun x _ => hasDerivAt_standardGaussianPDF x) hx hi₁ hi₀
have he : (fun x => f x*(-x*gaussianPDFReal 0 1 x)) =
(fun x => -(gaussianPDFReal 0 1 x*(x*f x))) := by funext x; ring
rw [he,integral_neg] at h
have h' := neg_injective h
rw [integral_gaussianReal_eq_integral_smul (by norm_num : (1 : ℝ≥0) ≠ 0),
integral_gaussianReal_eq_integral_smul (by norm_num : (1 : ℝ≥0) ≠ 0)]
simpa only [smul_eq_mul,mul_comm] using h'
theorem integral_tilted_real_eq_div {Ω : Type} [MeasurableSpace Ω]
(μ : Measure Ω) (V g : Ω → ℝ) :
(∫ x, g x ∂μ.tilted V) =
(∫ x, g x*Real.exp (V x) ∂μ) / ∫ x, Real.exp (V x) ∂μ := by
rw [integral_tilted]
simp only [smul_eq_mul]
calc
(∫ x, (Real.exp (V x)/(∫ x, Real.exp (V x) ∂μ))*g x ∂μ) =
∫ x, (g x*Real.exp (V x))/(∫ x, Real.exp (V x) ∂μ) ∂μ := by
apply integral_congr_ae
filter_upwards [] with x
ring
_ = _ := integral_div _ _
theorem gaussian_tilted_stein (V V' g g' : ℝ → ℝ)
(hV : ∀ x, HasDerivAt V (V' x) x) (hg : ∀ x, HasDerivAt g (g' x) x)
(hi : Integrable (fun x => g x*Real.exp (V x)) (gaussianReal 0 1))
(hi' : Integrable (fun x => g' x*Real.exp (V x)) (gaussianReal 0 1))
(hiV : Integrable (fun x => g x*V' x*Real.exp (V x)) (gaussianReal 0 1))
(hix : Integrable (fun x => x*(g x*Real.exp (V x))) (gaussianReal 0 1)) :
(∫ x, x*g x ∂(gaussianReal 0 1).tilted V) =
(∫ x, g' x ∂(gaussianReal 0 1).tilted V) +
∫ x, g x*V' x ∂(gaussianReal 0 1).tilted V := by
have hd (x : ℝ) : HasDerivAt (fun x => g x*Real.exp (V x))
(g' x*Real.exp (V x)+g x*V' x*Real.exp (V x)) x := by
convert! (hg x).mul (hV x).exp using 1
ring
have h := gaussian_integral_mul_eq_integral_deriv _ _ hd hi (hi'.add hiV) hix
simp only [integral_tilted_real_eq_div]
rw [← add_div]
congr 1
rw [← integral_add hi' hiV]
convert! h using 1
apply integral_congr_ae
filter_upwards [] with x
ring
end SK.Analytic
end
end
end
end
end
end
end
end OAI