import OAI.Probability.PosteriorReplicas.Measures.EqualLabelVersions namespace OAI open MeasureTheory ProbabilityTheory Set Filter open scoped ENNReal NNReal Topology noncomputable section namespace PosteriorReplicas def equalReference {d k m : ℕ} (ν : Measure (Vec d)) : Measure (EqualSpace d k m) := ((Measure.pi (fun _ : Fin (m+1) => ν)).prod (gaussianRows d k)).map rightBasePoint instance {d k m : ℕ} (ν : Measure (Vec d)) [IsProbabilityMeasure ν] : IsProbabilityMeasure (equalReference (k := k) (m := m) ν) := by unfold equalReference infer_instance instance {d k m : ℕ} (ν : Measure (Vec d)) [IsFiniteMeasure ν] : IsFiniteMeasure (equalReference (k := k) (m := m) ν) := by unfold equalReference infer_instance def replicaDensity {d k m : ℕ} (base : BaseLaw) (f : Vec d → ℝ≥0∞) (z : EqualSpace d k m) : ℝ≥0∞ := equalConstant k m * (ENNReal.ofReal (affineVolume z.2.2))⁻¹ ^ k * (projectedDensity base f z.1 z.2.1)⁻¹ ^ m @[fun_prop] lemma measurable_replicaDensity {d k m : ℕ} (base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f) : Measurable (@replicaDensity d k m base f) := by unfold replicaDensity fun_prop def replicaLaw {d k m : ℕ} (base : BaseLaw) (f : Vec d → ℝ≥0∞) : Measure (EqualSpace d k m) := (equalReference ((base.measure d).withDensity f)).withDensity (replicaDensity base f) lemma equalReference_lintegral {d k m : ℕ} (ν : Measure (Vec d)) [IsFiniteMeasure ν] {H : EqualSpace d k m → ℝ≥0∞} (hH : Measurable H) : ∫⁻ z, H z ∂equalReference ν = ∫⁻ u : Tuple d m, ∫⁻ A, H (residualRows u A, labels (residualRows u A) (u 0), u) ∂gaussianRows d k ∂Measure.pi (fun _ => ν) := by rw [equalReference, lintegral_map hH measurable_rightBasePoint, lintegral_prod _ (show AEMeasurable (fun z => H (rightBasePoint z)) _ from (hH.comp measurable_rightBasePoint).aemeasurable)] rfl lemma density_power_cancel (m : ℕ) {a : ℝ≥0∞} (ha : a ≠ ∞) : a^(m+1) * a⁻¹^m = a := by by_cases h0 : a = 0 · simp [h0] · rw [pow_succ, mul_comm (a^m) a, mul_assoc, ← mul_pow, ENNReal.mul_inv_cancel h0 ha, one_pow, mul_one] lemma replicaLaw_lintegral {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m) (base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f) {L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L) {H : EqualSpace d k m → ℝ≥0∞} (hH : Measurable H) : ∫⁻ z, H z ∂replicaLaw base f = ∫⁻ A, ∫⁻ y, projectedDensity base f A y * ∫⁻ u, H (A,y,u) ∂Measure.pi (fun _ : Fin (m+1) => tiltedFiber base f A y) ∂volume ∂gaussianRows d k := by let : NeZero d := ⟨by omega⟩ have := bounded_withDensity_finite (base.measure d) hLt hfL have hG : Measurable (fun z : EqualSpace d k m => (projectedDensity base f z.1 z.2.1)⁻¹^m * H z) := by fun_prop have he := equal_label_tilt_identity hd hk hm base hf hLt hfL hG rw [equalLabelRight_residual (by omega) (by omega) base hf hLt hfL hG] at he have hrep : (∫⁻ z, H z ∂replicaLaw base f) = equalLabelLeft base f (fun z : EqualSpace d k m => (projectedDensity base f z.1 z.2.1)⁻¹^m * H z) := by rw [he] rw [replicaLaw, lintegral_withDensity_eq_lintegral_mul _ (measurable_replicaDensity base hf) hH] simp only [Pi.mul_apply] rw [equalReference_lintegral (base.measure d |>.withDensity f) (by fun_prop)] unfold replicaDensity simp only rw [← lintegral_const_mul _ (show Measurable (fun u : Tuple d m => (ENNReal.ofReal (affineVolume u))⁻¹^k * ∫⁻ A, (projectedDensity base f (residualRows u A) (labels (residualRows u A) (u 0)))⁻¹^m * H (residualRows u A, labels (residualRows u A) (u 0), u) ∂gaussianRows d k) by unfold residualRows; fun_prop)] apply lintegral_congr intro u rw [← mul_assoc, ← lintegral_const_mul _ (show Measurable (fun A => (projectedDensity base f (residualRows u A) (labels (residualRows u A) (u 0)))⁻¹^m * H (residualRows u A, labels (residualRows u A) (u 0), u)) by unfold residualRows; fun_prop)] apply lintegral_congr intro A ring rw [hrep] unfold equalLabelLeft apply lintegral_congr intro A apply lintegral_congr intro y dsimp only rw [lintegral_const_mul _ (show Measurable (fun u : Tuple d m => H (A,y,u)) by fun_prop), ← mul_assoc, density_power_cancel m (projectedDensity_ne_top base hLt hfL A y)] lemma lintegral_projectedDensity {d k : ℕ} {A : Rows d k} (hA : LinearIndependent ℝ A) (hk : k < d) (base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f) : (∫⁻ y, projectedDensity base f A y) = (base.measure d).withDensity f univ := by have h := congrArg (fun μ : Measure (Labels k) => μ univ) (projected_measure hA hk base hf) rw [Measure.map_apply (by unfold labels; fun_prop) MeasurableSet.univ, preimage_univ, withDensity_apply _ MeasurableSet.univ, Measure.restrict_univ] at h simpa only [withDensity_apply _ MeasurableSet.univ, Measure.restrict_univ] using h.symm lemma replicaLaw_mass {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m) (base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f) {L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L) : replicaLaw (k := k) (m := m) base f univ = (base.measure d).withDensity f univ := by rw [← lintegral_one, replicaLaw_lintegral hd hk hm base hf hLt hfL measurable_const] have (A : Rows d k) (y : Labels k) := tiltedFiber_probability base hLt hfL A y simp only [lintegral_one, measure_univ, mul_one] calc _ = ∫⁻ (_ : Rows d k), (base.measure d).withDensity f univ ∂gaussianRows d k := by apply lintegral_congr_ae filter_upwards [ae_gaussian_rows_full_rank (by omega : 3 ≤ d) (by omega : k < d)] with A hA exact lintegral_projectedDensity hA (by omega) base hf _ = _ := by simp lemma replicaLaw_probability {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m) (base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f) {L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L) [IsProbabilityMeasure ((base.measure d).withDensity f)] : IsProbabilityMeasure (replicaLaw (k := k) (m := m) base f) := by constructor rw [replicaLaw_mass hd hk hm base hf hLt hfL, measure_univ] end PosteriorReplicas end end OAI