import Mathlib import OAI.Probability.CriticalPercolation.Modular.WeightedCauchy import OAI.Probability.CriticalPercolation.Modular.InputMass namespace OAI section section open Set MeasureTheory ProbabilityTheory open Real open Set Real open scoped Topology open scoped BigOperators open Set open Set MeasureTheory open Set MeasureTheory Real open scoped Interval open scoped Classical namespace CriticalPercolation.OrderedQuery open QueryTree MarkedTree Priority FiniteEntropy FiniteProduct variable {E I : Type*} [Fintype E] [Fintype I] abbrev GlobalNode (t : I → QueryTree E) := (o : Order I) × (combined t o.val).bare.Node noncomputable abbrev globalTag (t : I → QueryTree E) (x : GlobalNode t) : LocalNode t := (combined t x.1.val).nodeLabel x.2 omit [Fintype E] in lemma pooled_weighted_sum (t : I → QueryTree E) (w : Order I → I → ℝ) (f : GlobalNode t → ℝ) (a : LocalNode t) : (∑ x : GlobalNode t, if globalTag t x = a then w x.1 (globalTag t x).1 * f x else 0) = ∑ o : Order I, w o a.1 * ∑ g : (combined t o.val).bare.Node, if (combined t o.val).nodeLabel g = a then f ⟨o,g⟩ else 0 := by rw [Fintype.sum_sigma] apply Finset.sum_congr rfl intro o _ rw [Finset.mul_sum] apply Finset.sum_congr rfl intro g _ by_cases h : globalTag t ⟨o,g⟩ = a · simp only [h, ite_eq_left] · simp only [h, ite_false, mul_zero] lemma weighted_node_square_bound (t : I → QueryTree E) (p : ℝ) (P : (E → Bool) → ℝ) (hP : ∀ ω, 0 ≤ P ω) (x : GlobalNode t) : (orderWeight x.1 (globalTag t x).1 * (combined t x.1.val).bare.inputNumerator p P x.2)^2 ≤ (orderSquare x.1 (globalTag t x).1 * (combined t x.1.val).bare.inputMass P x.2) * (orderMass x.1 * (combined t x.1.val).bare.inputNumerator p P x.2 ^ 2 / (combined t x.1.val).bare.inputMass P x.2) := by let M := (combined t x.1.val).bare.inputMass P x.2 let N := (combined t x.1.val).bare.inputNumerator p P x.2 have hM : 0 ≤ M := inputMass_nonneg _ P hP x.2 change (orderWeight x.1 (globalTag t x).1 * N)^2 ≤ (orderSquare x.1 (globalTag t x).1 * M)*(orderMass x.1*N^2/M) rcases eq_or_lt_of_le hM with hz | hp · have hN : N = 0 := inputNumerator_eq_zero _ p P hP x.2 hz.symm simp [hN] · have hh := mul_le_mul_of_nonneg_right (orderWeight_sq_le x.1 (globalTag t x).1) (sq_nonneg N) calc _ = (orderWeight x.1 (globalTag t x).1)^2 * N^2 := by ring _ ≤ (orderSquare x.1 (globalTag t x).1 * orderMass x.1)*N^2 := hh _ = _ := by field_simp theorem overlap_four_charge (t : I → QueryTree E) (ht : ∀ i, (t i).Valid ∅) (p : ℝ) (P : (E → Bool) → ℝ) (hP : ∀ ω, 0 ≤ P ω) (hover : ∀ ω, 0 < P ω → ∀ e, (users t ω e).card ≤ 4) : (∑ i, (t i).charge (fun r => (r-p)^2) (pushMass (t i).run P)) ≤ 16 * ∑ o : Order I, orderMass o * (combined t o.val).bare.charge (fun r => (r-p)^2) (pushMass (combined t o.val).bare.run P) := by let M (x : GlobalNode t) := (combined t x.1.val).bare.inputMass P x.2 let N (x : GlobalNode t) := (combined t x.1.val).bare.inputNumerator p P x.2 let z (x : GlobalNode t) := orderWeight x.1 (globalTag t x).1 * N x let u (x : GlobalNode t) := orderSquare x.1 (globalTag t x).1 * M x let v (x : GlobalNode t) := orderMass x.1 * (N x)^2 / M x have h := pooled_two_weight_bound (globalTag t) z u v (fun a : LocalNode t => (t a.1).inputMass P a.2) (fun a : LocalNode t => (t a.1).inputNumerator p P a.2) (C := 16) (fun x => mul_nonneg (orderSquare_nonneg _ _) (inputMass_nonneg _ P hP _)) (fun x => div_nonneg (mul_nonneg (orderMass_nonneg _) (sq_nonneg _)) (inputMass_nonneg _ P hP _)) (weighted_node_square_bound t p P hP) (fun a => inputMass_nonneg _ P hP _) (by norm_num) ?_ ?_ · convert h using 1 · rw [Fintype.sum_sigma] apply Finset.sum_congr rfl intro i _ exact charge_eq_input_sum (t i) p P · rw [Fintype.sum_sigma] congr 1 apply Finset.sum_congr rfl intro o _ rw [charge_eq_input_sum, Finset.mul_sum] apply Finset.sum_congr rfl intro g _ dsimp [v,N,M] ring · intro a exact (weighted_pooled_numerator t ht p P hP hover a.1 a.2).symm.trans (pooled_weighted_sum t orderWeight N a).symm · intro a exact (pooled_weighted_sum t orderSquare M a).trans_le (weighted_pooled_mass_le t ht P hP a.1 a.2) theorem overlap_four_entropy {p : ℝ} (hp : p ∈ Set.Ioo 0 1) (t : I → QueryTree E) (ht : ∀ i, (t i).Valid ∅) (P : (E → Bool) → ℝ) (hP : ∀ ω, 0 ≤ P ω) (hMass : ∑ ω, P ω = 1) (hover : ∀ ω, 0 < P ω → ∀ e, (users t ω e).card ≤ 4) : (∑ i, divergence (pushMass (t i).run P) ((t i).reference p)) ≤ 16/(2*p*(1-p)) * divergence P (density (bitWeight p)) := by have hc := overlap_four_charge t ht p P hP hover have hb : 2*(∑ o : Order I, orderMass o * (combined t o.val).bare.charge (fun r => (r-p)^2) (pushMass (combined t o.val).bare.run P)) ≤ divergence P (density (bitWeight p)) := by calc _ = ∑ o : Order I, orderMass o * (2* (combined t o.val).bare.charge (fun r => (r-p)^2) (pushMass (combined t o.val).bare.run P)) := by rw [Finset.mul_sum]; apply Finset.sum_congr rfl; intro o _; ring _ ≤ ∑ o : Order I, orderMass o * divergence P (density (bitWeight p)) := by apply Finset.sum_le_sum intro o _ exact mul_le_mul_of_nonneg_left (quadratic_bias_budget hp _ (combined_valid t o.val) P hP hMass) (orderMass_nonneg o) _ = _ := by rw [← Finset.sum_mul, sum_orderMass, one_mul] have hlocal : (∑ i, (t i).charge (fun r => (r-p)^2) (pushMass (t i).run P)) ≤ 8 * divergence P (density (bitWeight p)) := by linarith calc _ ≤ ∑ i, (p*(1-p))⁻¹ * (t i).charge (fun r => (r-p)^2) (pushMass (t i).run P) := Finset.sum_le_sum (fun i _ => transcript_divergence_upper hp (t i) P hP hMass) _ = (p*(1-p))⁻¹ * ∑ i, (t i).charge (fun r => (r-p)^2) (pushMass (t i).run P) := (Finset.mul_sum _ _ _).symm _ ≤ (p*(1-p))⁻¹ * (8 * divergence P (density (bitWeight p))) := mul_le_mul_of_nonneg_left hlocal (inv_nonneg.mpr (mul_nonneg hp.1.le (sub_nonneg.mpr hp.2.le))) _ = _ := by field_simp; ring end CriticalPercolation.OrderedQuery end end end OAI