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| import Mathlib | |
| namespace OAI | |
| /-! Partition Pow Le. -/ | |
| noncomputable section | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped BigOperators Topology ENNReal NNReal BoundedContinuousFunction | |
| namespace IsingPerceptron | |
| lemma partition_pow_le {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} [IsProbabilityMeasure ν] {H : X → ℝ} (p : ℕ) | |
| (h1 : Integrable (fun x => Real.exp (H x)) ν) | |
| (hp : Integrable (fun x => Real.exp ((p:ℝ)*H x)) ν) : | |
| (∫ x, Real.exp (H x) ∂ν)^p ≤ ∫ x, Real.exp ((p:ℝ)*H x) ∂ν := by | |
| simpa only [Function.comp_def, Real.exp_nat_mul] using | |
| (convexOn_pow p).map_integral_le (continuous_pow p).continuousOn isClosed_Ici | |
| (Filter.Eventually.of_forall (fun x => (Real.exp_pos (H x)).le)) h1 | |
| (by simpa only [Function.comp_def, Real.exp_nat_mul] using hp) | |
| lemma exp_integral_le_partition {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} [IsProbabilityMeasure ν] {H : X → ℝ} | |
| (hH : Integrable H ν) (he : Integrable (fun x => Real.exp (H x)) ν) : | |
| Real.exp (∫ x, H x ∂ν) ≤ ∫ x, Real.exp (H x) ∂ν := by | |
| exact convexOn_exp.map_integral_le Real.continuous_exp.continuousOn isClosed_univ | |
| (Filter.Eventually.of_forall (fun _ => mem_univ _)) hH he | |
| lemma partition_inv_pow_le {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} [IsProbabilityMeasure ν] {H : X → ℝ} (p : ℕ) | |
| (hH : Integrable H ν) | |
| (h1 : Integrable (fun x => Real.exp (H x)) ν) | |
| (hp : Integrable (fun x => Real.exp (-(p:ℝ)*H x)) ν) : | |
| ((∫ x, Real.exp (H x) ∂ν)^p)⁻¹ ≤ ∫ x, Real.exp (-(p:ℝ)*H x) ∂ν := by | |
| have hj := exp_integral_le_partition hH h1 | |
| have hz : 0 < ∫ x, Real.exp (H x) ∂ν := (Real.exp_pos _).trans_le hj | |
| calc | |
| _ ≤ (Real.exp (∫ x, H x ∂ν)^p)⁻¹ := | |
| (inv_le_inv₀ (pow_pos hz _) (pow_pos (Real.exp_pos _) _)).mpr | |
| (pow_le_pow_left₀ (Real.exp_pos _).le hj _) | |
| _ = Real.exp (∫ x, -(p:ℝ)*H x ∂ν) := by | |
| rw [integral_const_mul, ← Real.exp_nat_mul, ← Real.exp_neg] | |
| congr 1 | |
| ring | |
| _ ≤ _ := exp_integral_le_partition (hH.const_mul _) hp | |
| lemma gaussian_field_exp_integrable {Ω X : Type*} [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H : Ω × X → ℝ} (hm : Measurable H) {v : X → NNReal} {K : ℝ} | |
| (hg : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) (t : ℝ) : | |
| Integrable (fun z => Real.exp (t*H z)) (μ.prod ν) ∧ | |
| (∫ ω, ∫ x, Real.exp (t*H (ω,x)) ∂ν ∂μ) ≤ Real.exp (t^2*K/2) := by | |
| have he : Measurable (fun z => Real.exp (t*H z)) := hm.const_mul t |>.exp | |
| have hsec : ∀ x, Integrable (fun ω => Real.exp (t*H (ω,x))) μ := by | |
| intro x | |
| have hx : Measurable (fun ω => H (ω,x)) := hm.comp (measurable_id.prodMk measurable_const) | |
| apply (integrable_map_measure (g := fun y : ℝ => Real.exp (t*y)) (μ := μ) (by fun_prop) hx.aemeasurable).mp | |
| rw [hg x] | |
| exact integrable_exp_mul_gaussianReal t | |
| have hb (x : X) : (∫ ω, Real.exp (t*H (ω,x)) ∂μ) ≤ Real.exp (t^2*K/2) := by | |
| have h := mgf_gaussianReal (X := fun ω => H (ω, x)) | |
| ⟨(hm.comp (measurable_id.prodMk measurable_const)).aemeasurable, hg x⟩ t | |
| simp only [mgf, zero_mul, zero_add] at h | |
| rw [h] | |
| apply Real.exp_le_exp.mpr | |
| nlinarith [mul_le_mul_of_nonneg_right (hv x) (sq_nonneg t)] | |
| have hi : Integrable (fun z => Real.exp (t*H z)) (μ.prod ν) := by | |
| apply (integrable_prod_iff' he.aestronglyMeasurable).mpr | |
| refine ⟨Filter.Eventually.of_forall hsec, ?_⟩ | |
| apply Integrable.of_bound he.stronglyMeasurable.norm.integral_prod_left'.aestronglyMeasurable | |
| (Real.exp (t^2*K/2)) | |
| refine Filter.Eventually.of_forall fun x => ?_ | |
| simpa only [Real.norm_eq_abs, abs_of_nonneg (Real.exp_pos _).le, | |
| abs_of_nonneg (integral_nonneg (μ := μ) (f := fun ω : Ω => Real.exp (t*H (ω,x))) (fun ω => (Real.exp_pos _).le))] using hb x | |
| refine ⟨hi, ?_⟩ | |
| rw [integral_integral_swap hi] | |
| calc | |
| _ ≤ ∫ _ : X, Real.exp (t^2*K/2) ∂ν := | |
| integral_mono hi.integral_prod_right (integrable_const _) hb | |
| _ = _ := by simp | |
| lemma abs_le_exp_add_exp_neg (x : ℝ) : |x| ≤ Real.exp x + Real.exp (-x) := by | |
| rcases le_total 0 x with hx | hx | |
| · rw [abs_of_nonneg hx] | |
| linarith [Real.add_one_le_exp x, Real.exp_pos (-x)] | |
| · rw [abs_of_nonpos hx] | |
| linarith [Real.add_one_le_exp (-x), Real.exp_pos x] | |
| lemma gaussian_field_integrable {Ω X : Type*} [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H : Ω × X → ℝ} (hm : Measurable H) {v : X → NNReal} {K : ℝ} | |
| (hg : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) : Integrable H (μ.prod ν) := by | |
| have hp := (gaussian_field_exp_integrable (ν := ν) hm hg hv (1:ℝ)).1 | |
| have hn := (gaussian_field_exp_integrable (ν := ν) hm hg hv (-1:ℝ)).1 | |
| apply (hp.add hn).mono' hm.aestronglyMeasurable | |
| exact Filter.Eventually.of_forall fun z => by | |
| simpa only [Pi.add_apply, Real.norm_eq_abs, one_mul, neg_one_mul] using abs_le_exp_add_exp_neg (H z) | |
| lemma gaussian_partition_moments {Ω X : Type*} [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H : Ω × X → ℝ} (hm : Measurable H) {v : X → NNReal} {K : ℝ} | |
| (hg : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) (p : ℕ) : | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| Integrable (fun ω => Z ω^p) μ ∧ Integrable (fun ω => (Z ω^p)⁻¹) μ ∧ | |
| (∫ ω, Z ω^p ∂μ) ≤ Real.exp ((p:ℝ)^2*K/2) ∧ | |
| (∫ ω, (Z ω^p)⁻¹ ∂μ) ≤ Real.exp ((p:ℝ)^2*K/2) := by | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| change Integrable (fun ω => Z ω^p) μ ∧ Integrable (fun ω => (Z ω^p)⁻¹) μ ∧ _ | |
| have hmZ : Measurable Z := hm.exp.stronglyMeasurable.integral_prod_right'.measurable | |
| have hH := gaussian_field_integrable (ν := ν) hm hg hv | |
| have h1 := (gaussian_field_exp_integrable (ν := ν) hm hg hv (1:ℝ)).1 | |
| simp only [one_mul] at h1 | |
| obtain ⟨hip, hbp⟩ := gaussian_field_exp_integrable (ν := ν) hm hg hv (p:ℝ) | |
| obtain ⟨hin, hbn⟩ := gaussian_field_exp_integrable (ν := ν) hm hg hv (-(p:ℝ)) | |
| have hp : ∀ᵐ ω ∂μ, Z ω^p ≤ ∫ x, Real.exp ((p:ℝ)*H (ω,x)) ∂ν := by | |
| filter_upwards [h1.prod_right_ae, hip.prod_right_ae] with ω hω hωp | |
| exact partition_pow_le p hω hωp | |
| have hn : ∀ᵐ ω ∂μ, (Z ω^p)⁻¹ ≤ ∫ x, Real.exp (-(p:ℝ)*H (ω,x)) ∂ν := by | |
| filter_upwards [hH.prod_right_ae, h1.prod_right_ae, hin.prod_right_ae] with ω hω hω1 hωn | |
| exact partition_inv_pow_le p hω hω1 hωn | |
| have hz (ω) : 0 ≤ Z ω := integral_nonneg (fun _ => (Real.exp_pos _).le) | |
| have hpint : Integrable (fun ω => Z ω^p) μ := by | |
| apply hip.integral_prod_left.mono' (hmZ.pow_const p).aestronglyMeasurable | |
| simpa only [Real.norm_eq_abs, abs_of_nonneg (pow_nonneg (hz _) _)] using hp | |
| have hnint : Integrable (fun ω => (Z ω^p)⁻¹) μ := by | |
| apply hin.integral_prod_left.mono' ((hmZ.pow_const p).inv).aestronglyMeasurable | |
| simpa only [Pi.inv_apply, Real.norm_eq_abs, abs_of_nonneg (inv_nonneg.mpr (pow_nonneg (hz _) _))] using hn | |
| refine ⟨hpint, hnint, (integral_mono_ae hpint hip.integral_prod_left hp).trans hbp, ?_⟩ | |
| simpa only [neg_sq] using (integral_mono_ae hnint hin.integral_prod_left hn).trans hbn | |
| lemma exp_weighted_abs_fourth_bound (h y : ℝ) : | |
| (Real.exp h*|y|)^4 ≤ Real.exp (8*h)+Real.exp (8*y)+Real.exp (-8*y) := by | |
| have hy : |y| ≤ Real.exp |y| := by linarith [Real.add_one_le_exp |y|] | |
| have hp := pow_le_pow_left₀ (abs_nonneg y) hy 4 | |
| have he : (Real.exp |y|)^4 = Real.exp (4*|y|) := by | |
| rw [← Real.exp_nat_mul]; norm_num | |
| rw [he] at hp | |
| have hm := mul_le_mul_of_nonneg_left hp (show 0 ≤ (Real.exp h)^4 by positivity) | |
| have heh : (Real.exp h)^4 = Real.exp (4*h) := by | |
| rw [← Real.exp_nat_mul]; norm_num | |
| rw [heh] at hm | |
| have hs1 : (Real.exp (4*h))^2 = Real.exp (8*h) := by | |
| rw [← Real.exp_nat_mul]; congr 1; ring | |
| have hs2 : (Real.exp (4*|y|))^2 = Real.exp (8*|y|) := by | |
| rw [← Real.exp_nat_mul]; congr 1; ring | |
| have hay : Real.exp (8*|y|) ≤ Real.exp (8*y)+Real.exp (-8*y) := by | |
| rcases le_total 0 y with hy | hy | |
| · rw [abs_of_nonneg hy]; linarith [Real.exp_pos (-8*y)] | |
| · rw [abs_of_nonpos hy] | |
| have he : 8*(-y) = -8*y := by ring | |
| rw [he]; linarith [Real.exp_pos (8*y)] | |
| rw [mul_pow, heh] | |
| have hs := sq_nonneg (Real.exp (4*h)-Real.exp (4*|y|)) | |
| have hp0 := mul_nonneg (Real.exp_pos (4*h)).le (Real.exp_pos (4*|y|)).le | |
| nlinarith | |
| lemma gaussian_insertion_numerator_fourth {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H Y : Ω × X → ℝ} (hmH : Measurable H) (hmY : Measurable Y) | |
| {v w : X → NNReal} {K L : ℝ} | |
| (hgH : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hgY : ∀ x, μ.map (fun ω => Y (ω,x)) = gaussianReal 0 (w x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) (hw : ∀ x, (w x : ℝ) ≤ L) : | |
| let A := fun ω => ∫ x, Real.exp (H (ω,x))*|Y (ω,x)| ∂ν | |
| Integrable (fun z => Real.exp (H z)*|Y z|) (μ.prod ν) ∧ | |
| Integrable (fun ω => A ω^4) μ ∧ | |
| (∫ ω, A ω^4 ∂μ) ≤ Real.exp (32*K)+2*Real.exp (32*L) := by | |
| let Q := fun z => Real.exp (8*H z)+Real.exp (8*Y z)+Real.exp (-8*Y z) | |
| let A := fun ω => ∫ x, Real.exp (H (ω,x))*|Y (ω,x)| ∂ν | |
| obtain ⟨hiH,hbH⟩ := gaussian_field_exp_integrable (ν := ν) hmH hgH hv 8 | |
| obtain ⟨hiY,hbY⟩ := gaussian_field_exp_integrable (ν := ν) hmY hgY hw 8 | |
| obtain ⟨hinY,hbnY⟩ := gaussian_field_exp_integrable (ν := ν) hmY hgY hw (-8) | |
| have hiQ : Integrable Q (μ.prod ν) := (hiH.add hiY).add hinY | |
| have hmA : Measurable A := (hmH.exp.mul hmY.abs).stronglyMeasurable.integral_prod_right'.measurable | |
| have hnp (z : Ω × X) : 0 ≤ Real.exp (H z)*|Y z| := by positivity | |
| have hb4 (z : Ω × X) : (Real.exp (H z)*|Y z|)^4 ≤ Q z := | |
| exp_weighted_abs_fourth_bound (H z) (Y z) | |
| have hi4 : Integrable (fun z => (Real.exp (H z)*|Y z|)^4) (μ.prod ν) := by | |
| apply hiQ.mono' ((hmH.exp.mul hmY.abs).pow_const 4).aestronglyMeasurable | |
| exact Filter.Eventually.of_forall fun z => by | |
| simpa only [Real.norm_eq_abs, Pi.mul_apply, abs_of_nonneg (pow_nonneg (hnp z) _)] using hb4 z | |
| have hi1 : Integrable (fun z => Real.exp (H z)*|Y z|) (μ.prod ν) := by | |
| apply ((integrable_const (1:ℝ)).add hiQ).mono' (hmH.exp.mul hmY.abs).aestronglyMeasurable | |
| refine Filter.Eventually.of_forall fun z => ?_ | |
| simp only [Pi.add_apply, Pi.mul_apply, Real.norm_eq_abs, abs_of_nonneg (hnp z)] | |
| have ha := hnp z | |
| have hp : Real.exp (H z)*|Y z| ≤ 1+(Real.exp (H z)*|Y z|)^4 := by | |
| nlinarith [sq_nonneg (Real.exp (H z)*|Y z|), | |
| sq_nonneg ((Real.exp (H z)*|Y z|)^2-1), | |
| sq_nonneg (Real.exp (H z)*|Y z|-1)] | |
| linarith [hb4 z] | |
| have hAle : ∀ᵐ ω ∂μ, A ω^4 ≤ ∫ x, Q (ω,x) ∂ν := by | |
| filter_upwards [hi1.prod_right_ae, hi4.prod_right_ae, hiQ.prod_right_ae] with ω h1 h4 hQ | |
| have hJ := (convexOn_pow 4).map_integral_le (continuous_pow 4).continuousOn isClosed_Ici | |
| (Filter.Eventually.of_forall (fun x => hnp (ω,x))) h1 h4 | |
| exact hJ.trans (integral_mono h4 hQ (fun x => hb4 (ω,x))) | |
| have hiA : Integrable (fun ω => A ω^4) μ := by | |
| apply hiQ.integral_prod_left.mono' (hmA.pow_const 4).aestronglyMeasurable | |
| filter_upwards [hAle] with ω hω | |
| rw [Real.norm_eq_abs, abs_of_nonneg (by positivity : 0 ≤ A ω^4)] | |
| exact hω | |
| refine ⟨hi1, hiA, (integral_mono_ae hiA hiQ.integral_prod_left hAle).trans ?_⟩ | |
| have he : (∫ ω, ∫ x, Q (ω,x) ∂ν ∂μ) = | |
| (∫ ω, ∫ x, Real.exp (8*H (ω,x)) ∂ν ∂μ) + | |
| (∫ ω, ∫ x, Real.exp (8*Y (ω,x)) ∂ν ∂μ) + | |
| (∫ ω, ∫ x, Real.exp (-8*Y (ω,x)) ∂ν ∂μ) := by | |
| rw [← integral_prod _ hiQ, ← integral_prod _ hiH, | |
| ← integral_prod _ hiY, ← integral_prod _ hinY] | |
| exact integral_add (hiH.add hiY) hinY |>.trans | |
| (congrArg (fun r => r+∫ z, Real.exp (-8*Y z) ∂μ.prod ν) (integral_add hiH hiY)) | |
| rw [he] | |
| have hK : (8:ℝ)^2*K/2 = 32*K := by ring | |
| have hL : (8:ℝ)^2*L/2 = 32*L := by ring | |
| have hnL : (-8:ℝ)^2*L/2 = 32*L := by ring | |
| rw [hK] at hbH | |
| rw [hL] at hbY | |
| rw [hnL] at hbnY | |
| linarith | |
| lemma square_product_le_fourths (x y : ℝ) : (x*y)^2 ≤ (x^4+y^4)/2 := by | |
| nlinarith [sq_nonneg (x^2-y^2)] | |
| theorem gaussian_gibbs_abs_insertion_second {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H Y : Ω × X → ℝ} (hmH : Measurable H) (hmY : Measurable Y) | |
| {v w : X → NNReal} {K L : ℝ} | |
| (hgH : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hgY : ∀ x, μ.map (fun ω => Y (ω,x)) = gaussianReal 0 (w x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) (hw : ∀ x, (w x : ℝ) ≤ L) : | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| let A := fun ω => ∫ x, Real.exp (H (ω,x))*|Y (ω,x)| ∂ν | |
| Integrable (fun ω => (A ω/Z ω)^2) μ ∧ | |
| (∫ ω, (A ω/Z ω)^2 ∂μ) ≤ | |
| (Real.exp (32*K)+2*Real.exp (32*L)+Real.exp (8*K))/2 := by | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| let A := fun ω => ∫ x, Real.exp (H (ω,x))*|Y (ω,x)| ∂ν | |
| obtain ⟨_,hiA,hbA⟩ := gaussian_insertion_numerator_fourth (ν := ν) hmH hmY hgH hgY hv hw | |
| obtain ⟨_,hiZ,_,hbZ⟩ := gaussian_partition_moments (ν := ν) hmH hgH hv 4 | |
| change Integrable (fun ω => A ω^4) μ at hiA | |
| change Integrable (fun ω => (Z ω^4)⁻¹) μ at hiZ | |
| have hmZ : Measurable Z := hmH.exp.stronglyMeasurable.integral_prod_right'.measurable | |
| have hmA : Measurable A := (hmH.exp.mul hmY.abs).stronglyMeasurable.integral_prod_right'.measurable | |
| have hb (ω : Ω) : (A ω/Z ω)^2 ≤ (A ω^4+(Z ω^4)⁻¹)/2 := by | |
| simpa only [div_eq_mul_inv, inv_pow] using square_product_le_fourths (A ω) (Z ω)⁻¹ | |
| have hi : Integrable (fun ω => (A ω/Z ω)^2) μ := by | |
| apply ((hiA.add hiZ).div_const 2).mono' ((hmA.div hmZ).pow_const 2).aestronglyMeasurable | |
| refine Filter.Eventually.of_forall fun ω => ?_ | |
| simpa only [Pi.add_apply, Pi.div_apply, Real.norm_eq_abs, abs_of_nonneg (sq_nonneg (A ω/Z ω))] using hb ω | |
| refine ⟨hi, (integral_mono hi ((hiA.add hiZ).div_const 2) hb).trans ?_⟩ | |
| simp only [Pi.add_apply] | |
| rw [integral_div, integral_add hiA hiZ] | |
| have he : (4:ℝ)^2*K/2 = 8*K := by ring | |
| simp only [Nat.cast_ofNat] at hbZ | |
| rw [he] at hbZ | |
| exact div_le_div_of_nonneg_right (add_le_add hbA hbZ) (by norm_num) | |
| lemma log_square_le_partition_moments {x : ℝ} (hx : 0 < x) : | |
| (Real.log x)^2 ≤ 2*(x^2+(x^2)⁻¹) := by | |
| have hp := Real.log_le_sub_one_of_pos hx | |
| have hn := Real.log_le_sub_one_of_pos (inv_pos.mpr hx) | |
| rw [Real.log_inv] at hn | |
| have hB : |Real.log x| ≤ x+x⁻¹ := by | |
| apply abs_le.mpr | |
| constructor <;> linarith [inv_pos.mpr hx] | |
| have hs := pow_le_pow_left₀ (abs_nonneg (Real.log x)) hB 2 | |
| rw [sq_abs] at hs | |
| rw [← inv_pow] | |
| nlinarith [sq_nonneg (x-x⁻¹)] | |
| lemma gaussian_log_partition_second {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H : Ω × X → ℝ} (hm : Measurable H) {v : X → NNReal} {K : ℝ} | |
| (hg : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) : | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| Integrable (fun ω => (Real.log (Z ω))^2) μ ∧ | |
| (∫ ω, (Real.log (Z ω))^2 ∂μ) ≤ 4*Real.exp (2*K) := by | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| have hmZ : Measurable Z := hm.exp.stronglyMeasurable.integral_prod_right'.measurable | |
| obtain ⟨hip,hin,hbp,hbn⟩ := gaussian_partition_moments (ν := ν) hm hg hv 2 | |
| change Integrable (fun ω => Z ω^2) μ at hip | |
| change Integrable (fun ω => (Z ω^2)⁻¹) μ at hin | |
| have hH := gaussian_field_integrable (ν := ν) hm hg hv | |
| have he := (gaussian_field_exp_integrable (ν := ν) hm hg hv 1).1 | |
| simp only [one_mul] at he | |
| have hb : ∀ᵐ ω ∂μ, (Real.log (Z ω))^2 ≤ 2*(Z ω^2+(Z ω^2)⁻¹) := by | |
| filter_upwards [hH.prod_right_ae, he.prod_right_ae] with ω hω hωe | |
| apply log_square_le_partition_moments | |
| exact (Real.exp_pos _).trans_le (exp_integral_le_partition hω hωe) | |
| have hi : Integrable (fun ω => (Real.log (Z ω))^2) μ := by | |
| apply ((hip.add hin).const_mul 2).mono' (hmZ.log.pow_const 2).aestronglyMeasurable | |
| filter_upwards [hb] with ω hω | |
| simpa only [Pi.add_apply, Real.norm_eq_abs, abs_of_nonneg (sq_nonneg (Real.log (Z ω)))] using hω | |
| refine ⟨hi, (integral_mono_ae hi ((hip.add hin).const_mul 2) hb).trans ?_⟩ | |
| simp only [Pi.add_apply] | |
| rw [integral_const_mul, integral_add hip hin] | |
| have hx : (2:ℝ)^2*K/2 = 2*K := by ring | |
| simp only [Nat.cast_ofNat] at hbp hbn | |
| rw [hx] at hbp hbn | |
| linarith | |
| lemma uniformIntegrable_of_second_moment_bound {I Ω : Type*} [MeasurableSpace Ω] | |
| {μ : Measure Ω} [IsFiniteMeasure μ] {f : I → Ω → ℝ} {C : ℝ} | |
| (hm : ∀ i, Measurable (f i)) (hi : ∀ i, Integrable (fun ω => (f i ω)^2) μ) | |
| (hb : ∀ i, (∫ ω, (f i ω)^2 ∂μ) ≤ C) : UniformIntegrable f 1 μ := by | |
| apply uniformIntegrable_of le_rfl ENNReal.one_ne_top (fun i => (hm i).aestronglyMeasurable) | |
| intro ε hε | |
| by_cases hεtop : ε = ∞ | |
| · subst ε | |
| exact ⟨0, fun _ => le_top⟩ | |
| have hεreal := ENNReal.toReal_pos hε.ne' hεtop | |
| let A := (|C|+1)/ε.toReal | |
| have hA : 0 < A := div_pos (by positivity) hεreal | |
| refine ⟨⟨A,hA.le⟩, fun i => ?_⟩ | |
| let S := {ω : Ω | (⟨A,hA.le⟩ : NNReal) ≤ ‖f i ω‖₊} | |
| have hs : MeasurableSet S := by | |
| change MeasurableSet {ω : Ω | A ≤ ‖f i ω‖} | |
| exact measurableSet_le measurable_const (hm i).norm | |
| have hfi : Integrable (f i) μ := | |
| ((memLp_two_iff_integrable_sq (hm i).aestronglyMeasurable).mpr (hi i)).integrable (by norm_num) | |
| have hint := hfi.indicator hs | |
| have hle : ∀ ω, ‖S.indicator (f i) ω‖ ≤ (f i ω)^2/A := by | |
| intro ω | |
| by_cases hω : ω ∈ S | |
| · rw [Set.indicator_of_mem hω, Real.norm_eq_abs] | |
| have ha : A ≤ |f i ω| := by exact_mod_cast hω | |
| apply (le_div_iff₀ hA).mpr | |
| nlinarith [sq_abs (f i ω), mul_le_mul_of_nonneg_left ha (abs_nonneg (f i ω))] | |
| · rw [Set.indicator_of_notMem hω, norm_zero] | |
| positivity | |
| change eLpNorm (S.indicator (f i)) 1 μ ≤ ε | |
| rw [eLpNorm_one_eq_lintegral_enorm hint.aestronglyMeasurable, | |
| ← ofReal_integral_norm_eq_lintegral_enorm hint, ← ENNReal.ofReal_toReal hεtop] | |
| apply ENNReal.ofReal_le_ofReal | |
| calc | |
| _ ≤ ∫ ω, (f i ω)^2/A ∂μ := integral_mono hint.norm ((hi i).div_const A) hle | |
| _ = (∫ ω, (f i ω)^2 ∂μ)/A := integral_div _ _ | |
| _ ≤ C/A := div_le_div_of_nonneg_right (hb i) hA.le | |
| _ ≤ ε.toReal := by | |
| apply (div_le_iff₀ hA).mpr | |
| dsimp [A] | |
| rw [mul_div_cancel₀ _ hεreal.ne'] | |
| linarith [le_abs_self C] | |
| lemma integral_tendsto_of_second_moment_bound {Ω : Type*} [MeasurableSpace Ω] | |
| {μ : Measure Ω} [IsFiniteMeasure μ] {f : ℕ → Ω → ℝ} {g : Ω → ℝ} {C : ℝ} | |
| (hm : ∀ i, Measurable (f i)) (hi : ∀ i, Integrable (fun ω => (f i ω)^2) μ) | |
| (hb : ∀ i, (∫ ω, (f i ω)^2 ∂μ) ≤ C) | |
| (ht : ∀ᵐ ω ∂μ, Tendsto (fun i => f i ω) atTop (𝓝 (g ω))) : | |
| Integrable g μ ∧ Tendsto (fun i => ∫ ω, f i ω ∂μ) atTop (𝓝 (∫ ω, g ω ∂μ)) := by | |
| have hu := uniformIntegrable_of_second_moment_bound hm hi hb | |
| have hg := hu.integrable_of_ae_tendsto ht | |
| refine ⟨hg, ?_⟩ | |
| apply tendsto_integral_of_L1 g hg.aestronglyMeasurable | |
| (Eventually.of_forall (fun i => (hu.memLp i).integrable le_rfl)) | |
| simpa only [eLpNorm_one_eq_lintegral_enorm | |
| ((hm _).aestronglyMeasurable.sub hg.aestronglyMeasurable), Pi.sub_apply] using | |
| tendsto_Lp_finite_of_tendsto_ae (by norm_num : (1:ENNReal) ≤ 1) | |
| ENNReal.one_ne_top (fun i => (hm i).aestronglyMeasurable) (memLp_one_iff_integrable.mpr hg) hu.unifIntegrable ht | |
| def normalizedRestriction {X : Type*} [MeasurableSpace X] | |
| (ν : Measure X) (A : Set X) : Measure X := (ν A)⁻¹ • ν.restrict A | |
| lemma normalizedRestriction_probability {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} [IsFiniteMeasure ν] {A : Set X} (hA : ν A ≠ 0) : | |
| IsProbabilityMeasure (normalizedRestriction ν A) := by | |
| constructor | |
| simp only [normalizedRestriction, Measure.smul_apply, Measure.restrict_apply_univ, | |
| smul_eq_mul] | |
| exact ENNReal.inv_mul_cancel hA (measure_ne_top _ _) | |
| lemma integral_normalizedRestriction {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} [IsFiniteMeasure ν] (A : Set X) (f : X → ℝ) : | |
| (∫ x, f x ∂normalizedRestriction ν A) = (∫ x in A, f x ∂ν)/(ν A).toReal := by | |
| rw [normalizedRestriction, integral_smul_measure] | |
| simp only [ENNReal.toReal_inv, smul_eq_mul, div_eq_mul_inv, mul_comm] | |
| lemma integral_restriction_tendsto {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} {A : ℕ → Set X} (hm : ∀ n, MeasurableSet (A n)) | |
| (hA : ∀ x, ∀ᶠ n in atTop, x ∈ A n) {f : X → ℝ} (hi : Integrable f ν) : | |
| Tendsto (fun n => ∫ x in A n, f x ∂ν) atTop (𝓝 (∫ x, f x ∂ν)) := by | |
| simp_rw [← integral_indicator (hm _)] | |
| apply tendsto_integral_of_dominated_convergence (fun x => ‖f x‖) | |
| · exact fun n => hi.aestronglyMeasurable.indicator (hm n) | |
| · exact hi.norm | |
| · exact fun n => Eventually.of_forall (fun x => norm_indicator_le_norm_self _ _) | |
| · refine Eventually.of_forall fun x => ?_ | |
| exact tendsto_const_nhds.congr' ((hA x).mono (fun n hn => (indicator_of_mem hn f).symm)) | |
| lemma normalized_restriction_integral_tendsto {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} [IsProbabilityMeasure ν] | |
| {A : ℕ → Set X} (hm : ∀ n, MeasurableSet (A n)) | |
| (hA : ∀ x, ∀ᶠ n in atTop, x ∈ A n) {f : X → ℝ} (hi : Integrable f ν) : | |
| Tendsto (fun n => ∫ x, f x ∂normalizedRestriction ν (A n)) | |
| atTop (𝓝 (∫ x, f x ∂ν)) := by | |
| have hmass : Tendsto (fun n => (ν (A n)).toReal) atTop (𝓝 (1:ℝ)) := by | |
| simpa only [integral_const, Measure.restrict_apply_univ, measureReal_def, | |
| smul_eq_mul, mul_one, measure_univ, ENNReal.toReal_one] using | |
| integral_restriction_tendsto hm hA (integrable_const (1:ℝ) (μ := ν)) | |
| have ht := (integral_restriction_tendsto hm hA hi).div hmass (by norm_num : (1:ℝ) ≠ 0) | |
| convert ht using 1 | |
| · funext n | |
| exact integral_normalizedRestriction (A n) f | |
| · rw [div_one] | |
| lemma normalized_restriction_gibbs_tendsto {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} [IsProbabilityMeasure ν] | |
| {A : ℕ → Set X} (hm : ∀ n, MeasurableSet (A n)) | |
| (hA : ∀ x, ∀ᶠ n in atTop, x ∈ A n) {H Y : X → ℝ} | |
| (he : Integrable (fun x => Real.exp (H x)) ν) | |
| (hi : Integrable (fun x => Real.exp (H x)*Y x) ν) | |
| (hz : (∫ x, Real.exp (H x) ∂ν) ≠ 0) : | |
| Tendsto (fun n => (∫ x, Real.exp (H x)*Y x ∂normalizedRestriction ν (A n))/ | |
| (∫ x, Real.exp (H x) ∂normalizedRestriction ν (A n))) atTop | |
| (𝓝 ((∫ x, Real.exp (H x)*Y x ∂ν)/(∫ x, Real.exp (H x) ∂ν))) := | |
| (normalized_restriction_integral_tendsto hm hA hi).div | |
| (normalized_restriction_integral_tendsto hm hA he) hz | |
| theorem gaussian_log_restriction_expectation_tendsto {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H : Ω × X → ℝ} (hm : Measurable H) {v : X → NNReal} {K : ℝ} | |
| (hg : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) | |
| {A : ℕ → Set X} (hAm : ∀ n, MeasurableSet (A n)) | |
| (hA : ∀ x, ∀ᶠ n in atTop, x ∈ A n) (hpos : ∀ n, ν (A n) ≠ 0) : | |
| Tendsto (fun n => ∫ ω, Real.log (∫ x, Real.exp (H (ω,x)) | |
| ∂normalizedRestriction ν (A n)) ∂μ) atTop | |
| (𝓝 (∫ ω, Real.log (∫ x, Real.exp (H (ω,x)) ∂ν) ∂μ)) := by | |
| let νn := fun n => normalizedRestriction ν (A n) | |
| have : ∀ n, IsProbabilityMeasure (νn n) := fun n => normalizedRestriction_probability (hpos n) | |
| have hmZ (n) : Measurable (fun ω => Real.log (∫ x, Real.exp (H (ω,x)) ∂νn n)) := | |
| hm.exp.stronglyMeasurable.integral_prod_right'.measurable.log | |
| have hi (n) := gaussian_log_partition_second (ν := νn n) hm hg hv | |
| apply (integral_tendsto_of_second_moment_bound hmZ (fun n => (hi n).1) | |
| (fun n => (hi n).2) ?_).2 | |
| have he := (gaussian_field_exp_integrable (ν := ν) hm hg hv 1).1 | |
| simp only [one_mul] at he | |
| have hH := gaussian_field_integrable (ν := ν) hm hg hv | |
| filter_upwards [he.prod_right_ae,hH.prod_right_ae] with ω heω hHω | |
| have hz : 0 < ∫ x, Real.exp (H (ω,x)) ∂ν := | |
| (Real.exp_pos _).trans_le (exp_integral_le_partition hHω heω) | |
| exact (Real.continuousAt_log hz.ne').tendsto.comp | |
| (normalized_restriction_integral_tendsto hAm hA heω) | |
| lemma gaussian_bounded_insertion_second {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H Y D : Ω × X → ℝ} (hmH : Measurable H) (hmY : Measurable Y) | |
| (hmD : Measurable D) {c : ℝ} (_hc : 0 ≤ c) (hD : ∀ z, |D z| ≤ c) | |
| {v w : X → NNReal} {K L : ℝ} | |
| (hgH : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hgY : ∀ x, μ.map (fun ω => Y (ω,x)) = gaussianReal 0 (w x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) (hw : ∀ x, (w x : ℝ) ≤ L) : | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| let B := fun ω => ∫ x, Real.exp (H (ω,x))*Y (ω,x)*D (ω,x) ∂ν | |
| Integrable (fun z => Real.exp (H z)*Y z*D z) (μ.prod ν) ∧ | |
| Integrable (fun ω => (B ω/Z ω)^2) μ ∧ | |
| (∫ ω, (B ω/Z ω)^2 ∂μ) ≤ | |
| c^2*((Real.exp (32*K)+2*Real.exp (32*L)+Real.exp (8*K))/2) := by | |
| let Z := fun ω => ∫ x, Real.exp (H (ω,x)) ∂ν | |
| let B := fun ω => ∫ x, Real.exp (H (ω,x))*Y (ω,x)*D (ω,x) ∂ν | |
| let A := fun ω => ∫ x, Real.exp (H (ω,x))*|Y (ω,x)| ∂ν | |
| have hiA := (gaussian_insertion_numerator_fourth (ν := ν) hmH hmY hgH hgY hv hw).1 | |
| have hiB : Integrable (fun z => Real.exp (H z)*Y z*D z) (μ.prod ν) := by | |
| apply (hiA.const_mul c).mono' (hmH.exp.mul hmY |>.mul hmD).aestronglyMeasurable | |
| refine Eventually.of_forall fun z => ?_ | |
| simp only [Pi.mul_apply, Real.norm_eq_abs, abs_mul, abs_of_pos (Real.exp_pos _)] | |
| nlinarith [mul_le_mul_of_nonneg_left (hD z) (mul_nonneg (Real.exp_pos (H z)).le (abs_nonneg (Y z)))] | |
| have hBA : ∀ᵐ ω ∂μ, (B ω/Z ω)^2 ≤ c^2*(A ω/Z ω)^2 := by | |
| filter_upwards [hiA.prod_right_ae,hiB.prod_right_ae] with ω hAω hBω | |
| have ha : |B ω| ≤ c*A ω := by | |
| calc | |
| _ ≤ ∫ x, |Real.exp (H (ω,x))*Y (ω,x)*D (ω,x)| ∂ν := abs_integral_le_integral_abs | |
| _ ≤ ∫ x, c*(Real.exp (H (ω,x))*|Y (ω,x)|) ∂ν := by | |
| apply integral_mono hBω.abs (hAω.const_mul c) | |
| intro x | |
| dsimp only | |
| rw [abs_mul,abs_mul,abs_of_pos (Real.exp_pos _)] | |
| nlinarith [mul_le_mul_of_nonneg_left (hD (ω,x)) | |
| (mul_nonneg (Real.exp_pos (H (ω,x))).le (abs_nonneg (Y (ω,x))))] | |
| _ = c*A ω := integral_const_mul _ _ | |
| have hz : 0 ≤ Z ω := integral_nonneg (fun _ => (Real.exp_pos _).le) | |
| have hb : |B ω/Z ω| ≤ c*A ω/Z ω := by | |
| rw [abs_div,abs_of_nonneg hz] | |
| exact div_le_div_of_nonneg_right ha hz | |
| have hs := pow_le_pow_left₀ (abs_nonneg (B ω/Z ω)) hb 2 | |
| rw [sq_abs] at hs | |
| simpa only [mul_div_assoc,mul_pow] using hs | |
| have hi := gaussian_gibbs_abs_insertion_second (ν := ν) hmH hmY hgH hgY hv hw | |
| have hmB : Measurable B := (hmH.exp.mul hmY |>.mul hmD).stronglyMeasurable.integral_prod_right'.measurable | |
| have hmZ : Measurable Z := hmH.exp.stronglyMeasurable.integral_prod_right'.measurable | |
| have hiSq : Integrable (fun ω => (B ω/Z ω)^2) μ := by | |
| apply (hi.1.const_mul (c^2)).mono' ((hmB.div hmZ).pow_const 2).aestronglyMeasurable | |
| filter_upwards [hBA] with ω hω | |
| simpa only [Pi.div_apply,Real.norm_eq_abs,abs_of_nonneg (sq_nonneg (B ω/Z ω))] using hω | |
| refine ⟨hiB,hiSq,?_⟩ | |
| calc | |
| _ ≤ ∫ ω, c^2*(A ω/Z ω)^2 ∂μ := integral_mono_ae hiSq (hi.1.const_mul (c^2)) hBA | |
| _ = c^2*(∫ ω, (A ω/Z ω)^2 ∂μ) := integral_const_mul _ _ | |
| _ ≤ _ := mul_le_mul_of_nonneg_left hi.2 (sq_nonneg c) | |
| theorem gaussian_insertion_restriction_expectation_tendsto {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H Y D : Ω × X → ℝ} (hmH : Measurable H) (hmY : Measurable Y) | |
| (hmD : Measurable D) {c : ℝ} (hc : 0 ≤ c) (hD : ∀ z, |D z| ≤ c) | |
| {v w : X → NNReal} {K L : ℝ} | |
| (hgH : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hgY : ∀ x, μ.map (fun ω => Y (ω,x)) = gaussianReal 0 (w x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) (hw : ∀ x, (w x : ℝ) ≤ L) | |
| {A : ℕ → Set X} (hAm : ∀ n, MeasurableSet (A n)) | |
| (hA : ∀ x, ∀ᶠ n in atTop, x ∈ A n) (hpos : ∀ n, ν (A n) ≠ 0) : | |
| Tendsto (fun n => ∫ ω, (∫ x, Real.exp (H (ω,x))*Y (ω,x)*D (ω,x) | |
| ∂normalizedRestriction ν (A n))/(∫ x, Real.exp (H (ω,x)) | |
| ∂normalizedRestriction ν (A n)) ∂μ) atTop | |
| (𝓝 (∫ ω, (∫ x, Real.exp (H (ω,x))*Y (ω,x)*D (ω,x) ∂ν)/ | |
| (∫ x, Real.exp (H (ω,x)) ∂ν) ∂μ)) := by | |
| let νn := fun n => normalizedRestriction ν (A n) | |
| have : ∀ n, IsProbabilityMeasure (νn n) := fun n => normalizedRestriction_probability (hpos n) | |
| have hmB (n) : Measurable (fun ω => (∫ x, Real.exp (H (ω,x))*Y (ω,x)*D (ω,x) ∂νn n)/ | |
| (∫ x, Real.exp (H (ω,x)) ∂νn n)) := | |
| (hmH.exp.mul hmY |>.mul hmD).stronglyMeasurable.integral_prod_right'.measurable.div | |
| hmH.exp.stronglyMeasurable.integral_prod_right'.measurable | |
| have hi (n) := gaussian_bounded_insertion_second (ν := νn n) hmH hmY hmD hc hD hgH hgY hv hw | |
| apply (integral_tendsto_of_second_moment_bound hmB (fun n => (hi n).2.1) | |
| (fun n => (hi n).2.2) ?_).2 | |
| have he := (gaussian_field_exp_integrable (ν := ν) hmH hgH hv 1).1 | |
| simp only [one_mul] at he | |
| have hH := gaussian_field_integrable (ν := ν) hmH hgH hv | |
| have hB := (gaussian_bounded_insertion_second (ν := ν) hmH hmY hmD hc hD hgH hgY hv hw).1 | |
| filter_upwards [he.prod_right_ae,hH.prod_right_ae,hB.prod_right_ae] with ω heω hHω hBω | |
| have hz : 0 < ∫ x, Real.exp (H (ω,x)) ∂ν := | |
| (Real.exp_pos _).trans_le (exp_integral_le_partition hHω heω) | |
| exact (normalized_restriction_integral_tendsto hAm hA hBω).div | |
| (normalized_restriction_integral_tendsto hAm hA heω) hz.ne' | |
| lemma abs_bounded_gibbs_test_le {X : Type*} [MeasurableSpace X] | |
| {ν : Measure X} {H D : X → ℝ} (he : Integrable (fun x => Real.exp (H x)) ν) | |
| (hmD : Measurable D) {c : ℝ} (hc : 0 ≤ c) (hD : ∀ x, |D x| ≤ c) : | |
| |(∫ x, Real.exp (H x)*D x ∂ν)/(∫ x, Real.exp (H x) ∂ν)| ≤ c := by | |
| have hi := he.mul_bdd hmD.aestronglyMeasurable | |
| (Eventually.of_forall (fun x => by simpa only [Real.norm_eq_abs] using hD x)) | |
| have hb : |∫ x, Real.exp (H x)*D x ∂ν| ≤ c*(∫ x, Real.exp (H x) ∂ν) := by | |
| calc | |
| _ ≤ ∫ x, |Real.exp (H x)*D x| ∂ν := abs_integral_le_integral_abs | |
| _ ≤ ∫ x, c*Real.exp (H x) ∂ν := by | |
| apply integral_mono hi.abs (he.const_mul c) | |
| intro x | |
| dsimp only | |
| rw [abs_mul,abs_of_pos (Real.exp_pos _)] | |
| nlinarith [mul_le_mul_of_nonneg_left (hD x) (Real.exp_pos (H x)).le] | |
| _ = _ := integral_const_mul _ _ | |
| have hz : 0 ≤ ∫ x, Real.exp (H x) ∂ν := integral_nonneg (fun _ => (Real.exp_pos _).le) | |
| rcases hz.eq_or_lt with hz | hz | |
| · simp only [← hz,div_zero,abs_zero] | |
| exact hc | |
| · rw [abs_div,abs_of_pos hz] | |
| exact (div_le_iff₀ hz).mpr hb | |
| theorem gaussian_bounded_restriction_expectation_tendsto {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| {μ : Measure Ω} {ν : Measure X} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| {H D : Ω × X → ℝ} (hmH : Measurable H) (hmD : Measurable D) | |
| {c : ℝ} (hc : 0 ≤ c) (hD : ∀ z, |D z| ≤ c) | |
| {v : X → NNReal} {K : ℝ} | |
| (hgH : ∀ x, μ.map (fun ω => H (ω,x)) = gaussianReal 0 (v x)) | |
| (hv : ∀ x, (v x : ℝ) ≤ K) | |
| {A : ℕ → Set X} (hAm : ∀ n, MeasurableSet (A n)) | |
| (hA : ∀ x, ∀ᶠ n in atTop, x ∈ A n) (hpos : ∀ n, ν (A n) ≠ 0) : | |
| Tendsto (fun n => ∫ ω, (∫ x, Real.exp (H (ω,x))*D (ω,x) | |
| ∂normalizedRestriction ν (A n))/(∫ x, Real.exp (H (ω,x)) | |
| ∂normalizedRestriction ν (A n)) ∂μ) atTop | |
| (𝓝 (∫ ω, (∫ x, Real.exp (H (ω,x))*D (ω,x) ∂ν)/ | |
| (∫ x, Real.exp (H (ω,x)) ∂ν) ∂μ)) := by | |
| let νn := fun n => normalizedRestriction ν (A n) | |
| have : ∀ n, IsProbabilityMeasure (νn n) := fun n => normalizedRestriction_probability (hpos n) | |
| have hmB (n) : Measurable (fun ω => (∫ x, Real.exp (H (ω,x))*D (ω,x) ∂νn n)/ | |
| (∫ x, Real.exp (H (ω,x)) ∂νn n)) := | |
| (hmH.exp.mul hmD).stronglyMeasurable.integral_prod_right'.measurable.div | |
| hmH.exp.stronglyMeasurable.integral_prod_right'.measurable | |
| apply tendsto_integral_of_dominated_convergence (fun _ => c) | |
| · exact fun n => (hmB n).aestronglyMeasurable | |
| · exact integrable_const _ | |
| · intro n | |
| have he := (gaussian_field_exp_integrable (ν := νn n) hmH hgH hv 1).1 | |
| simp only [one_mul] at he | |
| filter_upwards [he.prod_right_ae] with ω heω | |
| rw [Real.norm_eq_abs] | |
| exact abs_bounded_gibbs_test_le heω (hmD.comp (measurable_const.prodMk measurable_id)) | |
| hc (fun x => hD (ω,x)) | |
| · have he := (gaussian_field_exp_integrable (ν := ν) hmH hgH hv 1).1 | |
| simp only [one_mul] at he | |
| have hH := gaussian_field_integrable (ν := ν) hmH hgH hv | |
| have hB : Integrable (fun z => Real.exp (H z)*D z) (μ.prod ν) := | |
| he.mul_bdd hmD.aestronglyMeasurable | |
| (Eventually.of_forall (fun z => by simpa only [Real.norm_eq_abs] using hD z)) | |
| filter_upwards [he.prod_right_ae,hH.prod_right_ae,hB.prod_right_ae] with ω heω hHω hBω | |
| have hz : 0 < ∫ x, Real.exp (H (ω,x)) ∂ν := | |
| (Real.exp_pos _).trans_le (exp_integral_le_partition hHω heω) | |
| exact (normalized_restriction_integral_tendsto hAm hA hBω).div | |
| (normalized_restriction_integral_tendsto hAm hA heω) hz.ne' | |
| end IsingPerceptron | |
| end | |
| end OAI | |