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9.41 kB
| import OAI.Probability.LatticePassage.ProductVariance | |
| import Mathlib.MeasureTheory.Integral.Pi | |
| namespace OAI | |
| namespace CompanionFPP | |
| open MeasureTheory ProbabilityTheory Finset | |
| variable {α : Type*} [MeasurableSpace α] (μ : Measure α) [IsProbabilityMeasure μ] | |
| lemma measurable_finCons (n : ℕ) : | |
| Measurable (fun z : α × (Fin n → α) => (Fin.cons z.1 z.2 : Fin (n+1) → α)) := by | |
| apply Measurable.of_eval | |
| intro i | |
| refine Fin.cases ?_ (fun j => ?_) i | |
| · simpa using (measurable_fst : Measurable (Prod.fst : α × (Fin n → α) → α)) | |
| · simpa only [Function.comp_def, Fin.cons_succ] using (measurable_pi_apply j).comp (measurable_snd : | |
| Measurable (Prod.snd : α × (Fin n → α) → (Fin n → α))) | |
| lemma finCons_preserving (n : ℕ) : | |
| MeasurePreserving (fun z : α × (Fin n → α) => Fin.cons z.1 z.2) | |
| (μ.prod (Measure.pi (fun _ : Fin n => μ))) | |
| (Measure.pi (fun _ : Fin (n+1) => μ)) := by | |
| simpa only [MeasurableEquiv.piFinSuccAbove_symm_apply, Fin.insertNthEquiv, | |
| Fin.insertNth_zero, Fin.zero_succAbove, Equiv.coe_fn_mk, cast_eq] using | |
| (measurePreserving_piFinSuccAbove (fun _ : Fin (n+1) => μ) 0).symm | |
| lemma integral_finCons {n : ℕ} {f : (Fin (n+1) → α) → ℝ} | |
| (hf : Measurable f) {C : ℝ} (hC : ∀ v, |f v| ≤ C) : | |
| (∫ v, f v ∂Measure.pi (fun _ : Fin (n+1) => μ)) = | |
| ∫ a, ∫ w, f (Fin.cons a w) ∂Measure.pi (fun _ : Fin n => μ) ∂μ := by | |
| have he := integral_map (finCons_preserving μ n).aemeasurable hf.aestronglyMeasurable | |
| rw [(finCons_preserving μ n).map_eq] at he | |
| rw [he] | |
| exact integral_prod _ ((bounded_memLp_two (hf.comp (measurable_finCons n)) | |
| C (fun z => hC (Fin.cons z.1 z.2))).integrable (by norm_num)) | |
| noncomputable def coordinateVariance {ι : Type*} [DecidableEq ι] | |
| (f : (ι → α) → ℝ) (i : ι) (v : ι → α) : ℝ := | |
| variance (fun u => f (Function.update v i u)) μ | |
| lemma measurable_coordinateVariance {ι : Type*} [Fintype ι] [DecidableEq ι] | |
| {f : (ι → α) → ℝ} (hf : Measurable f) {C : ℝ} (hC : ∀ v, |f v| ≤ C) (i : ι) : | |
| Measurable (coordinateVariance μ f i) := by | |
| apply measurable_section_variance (C := C) (f := fun z => f (Function.update z.1 i z.2)) | |
| · exact hf.comp (by fun_prop) | |
| · exact fun z => hC _ | |
| lemma coordinateVariance_bound {ι : Type*} [Fintype ι] [DecidableEq ι] | |
| {f : (ι → α) → ℝ} (hf : Measurable f) {C : ℝ} (hC0 : 0 ≤ C) | |
| (hC : ∀ v, |f v| ≤ C) (i : ι) (v : ι → α) : | |
| |coordinateVariance μ f i v| ≤ C^2 := by | |
| rw [coordinateVariance, abs_of_nonneg (variance_nonneg _ _)] | |
| exact variance_le_bound_square (hf.comp (by fun_prop)) hC0 (fun _ => hC _) | |
| lemma integrable_coordinateVariance {ι : Type*} [Fintype ι] [DecidableEq ι] | |
| {f : (ι → α) → ℝ} (hf : Measurable f) {C : ℝ} (hC0 : 0 ≤ C) | |
| (hC : ∀ v, |f v| ≤ C) (i : ι) : | |
| Integrable (coordinateVariance μ f i) (Measure.pi (fun _ : ι => μ)) := | |
| (bounded_memLp_two (measurable_coordinateVariance μ hf hC i) (C^2) | |
| (coordinateVariance_bound μ hf hC0 hC i)).integrable (by norm_num) | |
| omit [IsProbabilityMeasure μ] in | |
| lemma coordinateVariance_cons_zero {n : ℕ} (f : (Fin (n+1) → α) → ℝ) | |
| (a : α) (w : Fin n → α) : | |
| coordinateVariance μ f 0 (Fin.cons a w) = variance (fun u => f (Fin.cons u w)) μ := by | |
| simp only [coordinateVariance, Fin.update_cons_zero] | |
| omit [IsProbabilityMeasure μ] in | |
| lemma coordinateVariance_cons_succ {n : ℕ} (f : (Fin (n+1) → α) → ℝ) | |
| (i : Fin n) (a : α) (w : Fin n → α) : | |
| coordinateVariance μ f i.succ (Fin.cons a w) = | |
| coordinateVariance μ (fun v => f (Fin.cons a v)) i w := by | |
| simp only [coordinateVariance, ← Fin.cons_update] | |
| lemma integral_coordinateVariance_zero {n : ℕ} {f : (Fin (n+1) → α) → ℝ} | |
| (hf : Measurable f) {C : ℝ} (hC0 : 0 ≤ C) (hC : ∀ v, |f v| ≤ C) : | |
| (∫ v, coordinateVariance μ f 0 v ∂Measure.pi (fun _ : Fin (n+1) => μ)) = | |
| ∫ w, variance (fun u => f (Fin.cons u w)) μ ∂Measure.pi (fun _ : Fin n => μ) := by | |
| rw [integral_finCons μ (measurable_coordinateVariance μ hf hC 0) | |
| (coordinateVariance_bound μ hf hC0 hC 0)] | |
| simp [coordinateVariance_cons_zero] | |
| lemma integral_coordinateVariance_succ {n : ℕ} {f : (Fin (n+1) → α) → ℝ} | |
| (hf : Measurable f) {C : ℝ} (hC0 : 0 ≤ C) (hC : ∀ v, |f v| ≤ C) (i : Fin n) : | |
| (∫ v, coordinateVariance μ f i.succ v ∂Measure.pi (fun _ : Fin (n+1) => μ)) = | |
| ∫ a, ∫ w, coordinateVariance μ (fun v => f (Fin.cons a v)) i w | |
| ∂Measure.pi (fun _ : Fin n => μ) ∂μ := by | |
| rw [integral_finCons μ (measurable_coordinateVariance μ hf hC i.succ) | |
| (coordinateVariance_bound μ hf hC0 hC i.succ)] | |
| simp only [coordinateVariance_cons_succ] | |
| theorem variance_fin_le_sum_coordinateVariance (n : ℕ) | |
| {f : (Fin n → α) → ℝ} (hf : Measurable f) | |
| {C : ℝ} (hC0 : 0 ≤ C) (hC : ∀ v, |f v| ≤ C) : | |
| variance f (Measure.pi (fun _ : Fin n => μ)) ≤ | |
| ∑ i : Fin n, ∫ v, coordinateVariance μ f i v ∂Measure.pi (fun _ : Fin n => μ) := by | |
| induction n with | |
| | zero => | |
| have he : f = fun _ => f (fun i => Fin.elim0 i) := by | |
| funext v | |
| congr 1 | |
| funext i | |
| exact Fin.elim0 i | |
| rw [he] | |
| simp [variance_eq_integral measurable_const.aemeasurable] | |
| | succ n ih => | |
| let F := fun z : α × (Fin n → α) => f (Fin.cons z.1 z.2) | |
| have hFm : Measurable F := hf.comp (measurable_finCons n) | |
| have hFb : ∀ z, |F z| ≤ C := fun z => hC _ | |
| have he : variance f (Measure.pi (fun _ : Fin (n+1) => μ)) = | |
| variance F (μ.prod (Measure.pi (fun _ : Fin n => μ))) := by | |
| rw [← (finCons_preserving μ n).map_eq, | |
| variance_map hf.aemeasurable (finCons_preserving μ n).aemeasurable] | |
| rfl | |
| rw [he] | |
| have hv := product_variance_le (μ := μ) (ν := Measure.pi (fun _ : Fin n => μ)) | |
| hFm hC0 hFb | |
| apply hv.trans | |
| have hI : ∀ i : Fin n, Integrable (fun a => ∫ w, | |
| coordinateVariance μ (fun v => f (Fin.cons a v)) i w | |
| ∂Measure.pi (fun _ : Fin n => μ)) μ := by | |
| intro i | |
| have hm := (measurable_coordinateVariance μ hf hC i.succ).comp (measurable_finCons n) | |
| have hb := fun z : α × (Fin n → α) => | |
| coordinateVariance_bound μ hf hC0 hC i.succ (Fin.cons z.1 z.2) | |
| have hi := (bounded_memLp_two (μ := μ.prod (Measure.pi (fun _ : Fin n => μ))) | |
| hm (C^2) hb).integrable (by norm_num) | |
| simpa only [Function.comp_def, coordinateVariance_cons_succ] using hi.integral_prod_left | |
| have hstep := integral_mono (integrable_section_variance hFm hC0 hFb) | |
| (integrable_finsetSum Finset.univ (fun i _ => hI i)) (fun a => | |
| ih (hf.comp ((measurable_finCons n).comp (measurable_const.prodMk measurable_id))) | |
| (fun v => hC (Fin.cons a v))) | |
| rw [integral_finsetSum _ (fun i _ => hI i)] at hstep | |
| rw [Fin.sum_univ_succ, integral_coordinateVariance_zero μ hf hC0 hC] | |
| simp_rw [integral_coordinateVariance_succ μ hf hC0 hC] | |
| dsimp [F] at hstep ⊢ | |
| linarith | |
| lemma reindex_preserving {ι κ : Type*} [Fintype ι] [Fintype κ] (e : κ ≃ ι) : | |
| MeasurePreserving (fun v : κ → α => fun i => v (e.symm i)) | |
| (Measure.pi (fun _ : κ => μ)) (Measure.pi (fun _ : ι => μ)) := by | |
| convert measurePreserving_piCongrLeft (fun _ : ι => μ) e using 1 | |
| funext v i | |
| simp [MeasurableEquiv.coe_piCongrLeft, Equiv.piCongrLeft_apply] | |
| omit [IsProbabilityMeasure μ] in | |
| lemma coordinateVariance_reindex {ι κ : Type*} [Fintype ι] [Fintype κ] | |
| [DecidableEq ι] [DecidableEq κ] (e : κ ≃ ι) (f : (ι → α) → ℝ) (j : κ) (v : κ → α) : | |
| coordinateVariance μ (fun w => f (fun i => w (e.symm i))) j v = | |
| coordinateVariance μ f (e j) (fun i => v (e.symm i)) := by | |
| unfold coordinateVariance | |
| congr 1 | |
| funext u | |
| dsimp only | |
| congr 1 | |
| funext i | |
| by_cases hi : i = e j | |
| · subst i | |
| simp | |
| · have hj : e.symm i ≠ j := by | |
| intro h | |
| apply hi | |
| simpa using congrArg e h | |
| simp [Function.update_of_ne hi, Function.update_of_ne hj] | |
| theorem variance_pi_le_sum_coordinateVariance {ι : Type*} [Fintype ι] [DecidableEq ι] | |
| {f : (ι → α) → ℝ} (hf : Measurable f) | |
| {C : ℝ} (hC0 : 0 ≤ C) (hC : ∀ v, |f v| ≤ C) : | |
| variance f (Measure.pi (fun _ : ι => μ)) ≤ | |
| ∑ i : ι, ∫ v, coordinateVariance μ f i v ∂Measure.pi (fun _ : ι => μ) := by | |
| let e : Fin (Fintype.card ι) ≃ ι := (Fintype.equivFin ι).symm | |
| have hmp := reindex_preserving μ e | |
| have hg := hf.comp hmp.measurable | |
| have ht := variance_fin_le_sum_coordinateVariance μ (Fintype.card ι) hg hC0 | |
| (fun w => hC (fun i => w (e.symm i))) | |
| simp only [Function.comp_def] at ht | |
| rw [hmp.variance_fun_comp hf.aemeasurable] at ht | |
| simp only [coordinateVariance_reindex] at ht | |
| have he : ∀ j : Fin (Fintype.card ι), | |
| (∫ w, coordinateVariance μ f (e j) (fun i => w (e.symm i)) | |
| ∂Measure.pi (fun _ : Fin (Fintype.card ι) => μ)) = | |
| ∫ v, coordinateVariance μ f (e j) v ∂Measure.pi (fun _ : ι => μ) := by | |
| intro j | |
| have h := integral_map hmp.aemeasurable | |
| (measurable_coordinateVariance μ hf hC (e j)).aestronglyMeasurable | |
| rw [hmp.map_eq] at h | |
| exact h.symm | |
| simp_rw [he] at ht | |
| rwa [e.sum_comp (fun i => ∫ v, coordinateVariance μ f i v ∂Measure.pi (fun _ : ι => μ))] at ht | |
| end CompanionFPP | |
| end OAI | |