import OAI.Analysis.FiniteFactor.Coupling.Conditioning import OAI.Analysis.FiniteFactor.Coupling.Order namespace OAI namespace FiniteFactor open MeasureTheory ProbabilityTheory Filter Finset open scoped ENNReal noncomputable section namespace CouplingParameters def eligible (right : Bool) (x u : ℝ) : Prop := if right then u ≤ x else x < u instance eligible_decidable (right : Bool) (x u : ℝ) : Decidable (eligible right x u) := by unfold eligible infer_instance def eligibleIndices {ι : Type*} (right : ι → Bool) (x u : ι → ℝ) (I : Finset ι) : Finset ι := I.filter (fun i => eligible (right i) (x i) (u i)) theorem eligible_measurable (right : Bool) (u : ℝ) : MeasurableSet {x : ℝ | eligible right x u} := by cases right · exact measurableSet_Iio · exact measurableSet_Ici theorem eligible_count_measurable {ι : Type*} (right : ι → Bool) (u : ι → ℝ) (I : Finset ι) : Measurable (fun x : ι → ℝ => (eligibleIndices right x u I).card) := by unfold eligibleIndices simp_rw [Finset.card_filter] apply Finset.measurable_sum intro i _ exact Measurable.ite ((eligible_measurable (right i) (u i)).preimage (measurable_pi_apply i)) measurable_const measurable_const /-- A measurable half of the noncrossing event, with the eligibility count read from the conditioning vector. Taking right=false or right=true gives the two orientations used in the contradiction. -/ def badHalfEvent {ι : Type*} (right : ι → Bool) (u : ι → ℝ) (I : Finset ι) (q : ℝ) : Set ((ι → ℝ) × (ι → ℝ)) := {z | q/2 ≤ ((eligibleIndices right z.1 u I).card : ℝ) ∧ ∀ i : I, ¬(eligible (right i) (z.1 i) (u i) ∧ z.2 i ∈ crossingPartner (right i) (u i))} theorem badHalfEvent_measurable {ι : Type*} (right : ι → Bool) (u : ι → ℝ) (I : Finset ι) (q : ℝ) : MeasurableSet (badHalfEvent right u I q) := by have hcount : Measurable (fun z : (ι → ℝ) × (ι → ℝ) => ((eligibleIndices right z.1 u I).card : ℝ)) := (measurable_of_countable (fun n : ℕ => (n : ℝ))).comp ((eligible_count_measurable right u I).comp measurable_fst) have hq : MeasurableSet {z : (ι → ℝ) × (ι → ℝ) | q/2 ≤ ((eligibleIndices right z.1 u I).card : ℝ)} := measurableSet_le measurable_const hcount have hi (i : I) : MeasurableSet {z : (ι → ℝ) × (ι → ℝ) | ¬(eligible (right i) (z.1 i) (u i) ∧ z.2 i ∈ crossingPartner (right i) (u i))} := (((eligible_measurable (right i) (u i)).preimage ((measurable_pi_apply (i : ι)).comp measurable_fst)).inter ((crossingPartner_measurable (right i) (u i)).preimage ((measurable_pi_apply (i : ι)).comp measurable_snd))).compl convert hq.inter (MeasurableSet.iInter hi) using 1 ext z simp [badHalfEvent] theorem badHalfEvent_section {ι : Type*} (right : ι → Bool) (x u : ι → ℝ) (I : Finset ι) (q : ℝ) (hq : q/2 ≤ ((eligibleIndices right x u I).card : ℝ)) : Prod.mk x ⁻¹' badHalfEvent right u I q = Set.pi (eligibleIndices right x u I : Set ι) (fun i => (crossingPartner (right i) (u i))ᶜ) := by ext y simp only [Set.mem_preimage, badHalfEvent, Set.mem_ofPred_eq, Set.mem_pi, Finset.mem_coe, eligibleIndices, Finset.mem_filter, Set.mem_compl_iff] constructor · intro h i hi exact fun hy => h.2 ⟨i, hi.1⟩ ⟨hi.2, hy⟩ · intro h refine ⟨hq, fun i hi => ?_⟩ exact h i ⟨i.2, hi.1⟩ hi.2 theorem vectorPosterior_badHalf_bound {ι : Type*} (p : ι → CouplingParameters) (right : ι → Bool) (w : ι → Fin 2) (x u : ι → ℝ) (I : Finset ι) (q m ρ L : ℝ) (hx : ∀ i ∈ I, x i ∈ Set.Ico 0 1) (hu : ∀ i ∈ I, (p i).width (w i) ≤ u i ∧ u i ≤ 1-(p i).width (w i)) (hρ : ∀ i ∈ I, (p i).rho (w i) = ρ) (hρ0 : 0 ≤ ρ) (hq : m/20 ≤ q) (hL : L ≤ m*ρ) : vectorPosterior p right x (Prod.mk x ⁻¹' badHalfEvent right u I q) ≤ ENNReal.ofReal (Real.exp (-L/400)) := by by_cases hn : q/2 ≤ ((eligibleIndices right x u I).card : ℝ) · rw [badHalfEvent_section right x u I q hn] apply vectorPosterior_noncrossing_source_bound p right w x u (eligibleIndices right x u I) m ρ L · intro i hi exact hx i (Finset.mem_filter.mp hi).1 · intro i hi exact hu i (Finset.mem_filter.mp hi).1 · intro i hi exact (Finset.mem_filter.mp hi).2 · intro i hi exact hρ i (Finset.mem_filter.mp hi).1 · exact hρ0 · linarith · exact hL · have he : Prod.mk x ⁻¹' badHalfEvent right u I q = ∅ := by ext y simp [badHalfEvent, hn] rw [he, measure_empty] exact zero_le theorem vectorEndpoint_unitCube {ι : Type*} [Countable ι] (p : ι → CouplingParameters) (right : ι → Bool) : ∀ᵐ x ∂(vectorCoupling p).map (vectorEndpoint right), ∀ i, x i ∈ Set.Ico 0 1 := by rw [vectorEndpoint_law, ae_all_iff] intro i have hi : ∀ᵐ t ∂(p i).selectedLaw true (right i), t ∈ Set.Ico 0 1 := (withDensity_absolutelyContinuous _ _).ae_le (ae_restrict_mem measurableSet_Ico) have hh := Measure.infinitePi_map_eval (fun i => (p i).selectedLaw true (right i)) i rw [← hh] at hi exact ae_of_ae_map (measurable_pi_apply i).aemeasurable hi /-- Actual conditional bound for each oriented bad event, ready for the countably infinite masked-sum theorem. No conditional-independence assumption or posterior bound is an input. -/ theorem badHalf_condExp_bound {ι : Type*} [Countable ι] (p : ι → CouplingParameters) (right : ι → Bool) (w : ι → Fin 2) (u : ι → ℝ) (I : Finset ι) (q m ρ L : ℝ) (hu : ∀ i ∈ I, (p i).width (w i) ≤ u i ∧ u i ≤ 1-(p i).width (w i)) (hρ : ∀ i ∈ I, (p i).rho (w i) = ρ) (hρ0 : 0 ≤ ρ) (hq : m/20 ≤ q) (hL : L ≤ m*ρ) : ∀ᵐ ω ∂vectorCoupling p, (vectorCoupling p)[ (fun ω => (badHalfEvent right u I q).indicator (fun _ => (1 : ℝ)) (vectorEndpoint right ω, vectorEndpoint (fun i => !right i) ω)) | (inferInstance : MeasurableSpace (ι → ℝ)).comap (vectorEndpoint right)] ω ≤ Real.exp (-L/400) := by apply vector_condExp_event_le p right (badHalfEvent_measurable right u I q) filter_upwards [vectorEndpoint_unitCube p right] with x hx have hh := vectorPosterior_badHalf_bound p right w x u I q m ρ L (fun i _ => hx i) hu hρ hρ0 hq hL have hh' := ENNReal.toReal_mono ENNReal.ofReal_ne_top hh simpa only [measureReal_def, ENNReal.toReal_ofReal (Real.exp_pos _).le] using hh' /-- On ordered noncrossing pairs, the two eligibility counts are complementary. Thus the strict second half of the source bad event lies in the reverse badHalfEvent; using a weak inequality there only enlarges that event. -/ theorem noncrossing_eligible_complement {ι : Type*} (x y u : ι → ℝ) (I : Finset ι) (hxy : ∀ i ∈ I, x i ≤ y i) (hn : ∀ i ∈ I, ¬(x i < u i ∧ u i ≤ y i)) : (eligibleIndices (fun _ => false) x u I).card + (eligibleIndices (fun _ => true) y u I).card = I.card := by have he : eligibleIndices (fun _ => true) y u I = I.filter (fun i => ¬(x i < u i)) := by ext i simp only [eligibleIndices, Finset.mem_filter, eligible, ↓reduceIte] constructor · rintro ⟨hi, hy⟩ exact ⟨hi, fun hx => hn i hi ⟨hx, hy⟩⟩ · rintro ⟨hi, hx⟩ exact ⟨hi, le_trans (le_of_not_gt hx) (hxy i hi)⟩ rw [he] exact Finset.card_filter_add_card_filter_not (fun i => x i < u i) /-- Exact source second-half event is contained in the reverse event whose conditional estimate was proved above. All coordinates in I are accounted for. -/ theorem second_bad_half_in_reverse {ι : Type*} (x y u : ι → ℝ) (I : Finset ι) (hxy : ∀ i ∈ I, x i ≤ y i) (hn : ∀ i ∈ I, ¬(x i < u i ∧ u i ≤ y i)) (hcount : ((eligibleIndices (fun _ => false) x u I).card : ℝ) < (I.card : ℝ)/2) : (y,x) ∈ badHalfEvent (fun _ => true) u I I.card := by constructor · have he := noncrossing_eligible_complement x y u I hxy hn have her : ((eligibleIndices (fun _ => false) x u I).card : ℝ) + ((eligibleIndices (fun _ => true) y u I).card : ℝ) = (I.card : ℝ) := by exact_mod_cast he linarith · intro i hi exact hn i i.2 ⟨hi.2, hi.1⟩ /-- The pointwise orderedness needed for the complementary-event argument is itself a theorem about the actual full augmented law. -/ theorem vectorCoupling_ordered {ι : Type*} [Countable ι] (p : ι → CouplingParameters) : vectorCoupling p {ω | ∀ i, (ω i).2.1 ≤ (ω i).2.2} = 1 := by have he : {ω : ι → Fin 6 × (ℝ × ℝ) | ∀ i, (ω i).2.1 ≤ (ω i).2.2} = Set.pi Set.univ (fun _ : ι => {z : Fin 6 × (ℝ × ℝ) | z.2.1 ≤ z.2.2}) := by ext ω; simp rw [he, vectorCoupling, Measure.infinitePi_pi_univ] · simp [labelledCoupling_ordered] · intro i exact orderedPairs_measurable.preimage measurable_snd end CouplingParameters end end FiniteFactor end OAI