import OAI.Combinatorics.BalancedRyser.Probability.PatternCenteredAssembly import OAI.Combinatorics.BalancedRyser.Probability.PatternSupportCompatibility import OAI.Combinatorics.BalancedRyser.Probability.PatternWeightExtensions namespace OAI section namespace Balanced.PatternModel open scoped _root_.Balanced noncomputable section open scoped Classical BigOperators open MeasureTheory theorem centered_moment_le_of_exposureBounds (P : PatternModel) (K₀ : Finset P.Color) (x : P.Sample) (s r : ℕ) (q C : ℝ) (hq : 1 ≤ q) (hC : 0 ≤ C) (hsupport : ∀ a, (P.support a).card ≤ r) (htotal : ∀ K : Finset P.Color, K.card ≤ (2 * s) * r → ∀ y, P.fixedExpectation (K₀ ∪ K) y P.count ≤ C * q) (hoverlap : ∀ K : Finset P.Color, K.card ≤ (2 * s) * r → ∀ y, P.fixedExpectation (K₀ ∪ K) y (P.overlapCount K₀ K) ≤ C) : P.fixedExpectation K₀ x (fun ω => |P.count ω - P.fixedExpectation K₀ x P.count| ^ (2 * s)) ≤ ((2 * s).factorial : ℝ) * 2 ^ (2 * s) * (2 * C) ^ (2 * s) * q ^ s := by apply PatternModelMoments.centered_moment_bound_of_productWeight_costs P K₀ x s q (2 * C) hq (by positivity) · intro pre hpre have hK : (P.additionalSupport K₀ pre).card ≤ (2 * s) * r := (P.additionalSupport_card_le K₀ pre r hsupport).trans (Nat.mul_le_mul_right r (by omega)) have h := P.productWeight_free_extension_le K₀ x pre (C * q) (mul_nonneg hC (by linarith)) (fun y => htotal (P.additionalSupport K₀ pre) hK y) convert h using 1; ring · intro pre hpre have hK : (P.additionalSupport K₀ pre).card ≤ (2 * s) * r := (P.additionalSupport_card_le K₀ pre r hsupport).trans (Nat.mul_le_mul_right r (by omega)) have h := P.productWeight_overlap_extension_le K₀ x pre C hC (fun y => hoverlap (P.additionalSupport K₀ pre) hK y) have heq : (∑ a, if PatternMoments.supportOverlap P.support K₀ pre a then P.productWeight K₀ x (a :: pre) else 0) = (∑ a, if Disjoint (P.support a \ K₀) (P.additionalSupport K₀ pre) then 0 else P.productWeight K₀ x (a :: pre)) := by apply Finset.sum_congr rfl intro a _ rw [P.additionalSupport_eq_freshPrefixSupport] unfold PatternMoments.supportOverlap PatternModel.freshPrefixSupport split_ifs <;> simp_all rw [heq] exact h theorem overlapCount_le_allExposed (P : PatternModel) (K₀ K : Finset P.Color) (ω : P.Sample) : P.overlapCount K₀ K ω ≤ P.overlapCount ∅ (K₀ ∪ K) ω := by unfold overlapCount apply Finset.sum_le_sum intro a _ by_cases h : Disjoint (P.support a \ K₀) K · rw [ite_eq_left h] split_ifs · exact le_rfl · exact P.indicator_nonneg a ω · have hn : ¬ Disjoint (P.support a \ ∅) (K₀ ∪ K) := by obtain ⟨c, hc, hcK⟩ := Finset.not_disjoint_iff.mp h exact Finset.not_disjoint_iff.mpr ⟨c, by simpa using (Finset.mem_sdiff.mp hc).1, Finset.mem_union_right _ hcK⟩ rw [ite_eq_right h, ite_eq_right hn] theorem integrable_fixed_overlapCount (P : PatternModel) (D : Finset P.Color) (x : P.Sample) (K₀ K : Finset P.Color) : Integrable (fun ω => P.overlapCount K₀ K (P.fixCoordinates D x ω)) P.measure := by unfold overlapCount apply integrable_finsetSum intro a _ by_cases h : Disjoint (P.support a \ K₀) K · simp only [ite_eq_left h] exact integrable_const 0 · simp only [ite_eq_right h] exact P.integrable_fixed_indicator D x a theorem centered_moment_le_of_allExposedBounds (P : PatternModel) (K₀ : Finset P.Color) (x : P.Sample) (s r : ℕ) (q C : ℝ) (hq : 1 ≤ q) (hC : 0 ≤ C) (hsupport : ∀ a, (P.support a).card ≤ r) (htotal : ∀ D : Finset P.Color, D.card ≤ K₀.card + (2 * s) * r → ∀ y, P.fixedExpectation D y P.count ≤ C * q) (hoverlap : ∀ D : Finset P.Color, D.card ≤ K₀.card + (2 * s) * r → ∀ y, P.fixedExpectation D y (P.overlapCount ∅ D) ≤ C) : P.fixedExpectation K₀ x (fun ω => |P.count ω - P.fixedExpectation K₀ x P.count| ^ (2 * s)) ≤ ((2 * s).factorial : ℝ) * 2 ^ (2 * s) * (2 * C) ^ (2 * s) * q ^ s := by apply P.centered_moment_le_of_exposureBounds K₀ x s r q C hq hC hsupport · intro K hK y exact htotal (K₀ ∪ K) ((Finset.card_union_le _ _).trans (Nat.add_le_add_left hK _)) y · intro K hK y apply le_trans ?_ (hoverlap (K₀ ∪ K) ((Finset.card_union_le _ _).trans (Nat.add_le_add_left hK _)) y) apply integral_mono (P.integrable_fixed_overlapCount (K₀ ∪ K) y K₀ K) (P.integrable_fixed_overlapCount (K₀ ∪ K) y ∅ (K₀ ∪ K)) intro ω exact P.overlapCount_le_allExposed K₀ K _ end end Balanced.PatternModel end section open scoped BigOperators namespace Balanced open scoped _root_.Balanced universe u theorem uniformCenteredPatternMoments_of_exposureBounds (P : ℕ → PatternModel.{u}) (K₀ : ∀ q, Finset (P q).Color) (hsupport : UniformPatternSupports P) (htotal : UniformPatternTotalBound P K₀ (fun q => (q : ℝ))) (hoverlap : UniformPatternOverlapBound P K₀) : UniformCenteredPatternMoments P K₀ := by classical intro s _hs obtain ⟨C, hC, q₀, hcost⟩ := uniform_productWeight_extensions P K₀ hsupport htotal hoverlap (2 * s) refine ⟨((2 * s).factorial : ℝ) * 2 ^ (2 * s) * C ^ (2 * s), by positivity, max q₀ 1, ?_⟩ intro q hq x have hq₀ : q₀ ≤ q := (le_max_left q₀ 1).trans hq have hq₁ : (1 : ℝ) ≤ q := by exact_mod_cast (le_max_right q₀ 1).trans hq apply PatternModelMoments.centered_moment_bound_of_productWeight_costs (P q) (K₀ q) x s q C hq₁ hC.le · intro pre hpre exact (hcost q hq₀ x pre hpre).1 · intro pre hpre have heq : (∑ a, if PatternMoments.supportOverlap (P q).support (K₀ q) pre a then (P q).productWeight (K₀ q) x (a :: pre) else 0) = (∑ a, if Disjoint ((P q).support a \ K₀ q) ((P q).additionalSupport (K₀ q) pre) then 0 else (P q).productWeight (K₀ q) x (a :: pre)) := by apply Finset.sum_congr rfl intro a _ rw [(P q).additionalSupport_eq_freshPrefixSupport] unfold PatternMoments.supportOverlap PatternModel.freshPrefixSupport split_ifs <;> simp_all rw [heq] exact (hcost q hq₀ x pre hpre).2 theorem patternMoments_proof : PatternMomentsResult.{u} := by intro P K₀ hsupport _hinitial constructor · exact uniformPatternMoments_of_totalBound P K₀ hsupport · intro htotal hoverlap exact uniformCenteredPatternMoments_of_exposureBounds P K₀ hsupport htotal hoverlap end Balanced end end OAI