import OAI.Probability.MatroidProphet.Reverse.BirthLoss import OAI.Probability.MatroidProphet.Baseline namespace OAI namespace MatroidProphet open Finset variable {α : Type*} [Fintype α] [DecidableEq α] attribute [local instance] Classical.propDecidable noncomputable def safeEndpointCount (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (h : ℕ) (d : α) (C T : Finset α) : ℝ := ∑ i ∈ range (pathHorizon h-1), if safeBirthEvent M hE κ D G h d (-(i:ℤ)) C T then 1 else 0 lemma pathHorizon_pos (h : ℕ) : 0 < pathHorizon h := by unfold pathHorizon; omega theorem safeEndpointCount_lower (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (q : α → ℝ) (hq0 : ∀ e, 0 ≤ q e) (hq1 : ∀ e, q e ≤ 1) (h : ℕ) (d : α) (hd : d ∉ M.closure ∅) : (((2:ℝ)^12)⁻¹) / 2 ≤ bitsExpectation q univ (fun C => bitsExpectation q univ (safeEndpointCount M hE κ D G h d C)) + if d ∈ densityExpansion M hE κ (D h) (M.closure ∅) then 1 else 0 := by let H := pathHorizon h let f := fun i => bitsExpectation q univ (pathExitSquare M hE κ D G q d h i) let g : ℕ → ℝ := fun i => bitsExpectation q univ (fun C => bitsExpectation q univ (fun T => if safeBirthEvent M hE κ D G h d (-(i:ℤ)) C T then 1 else 0)) have hH : 1 ≤ H := pathHorizon_pos h have htime : activation h = -(H:ℤ) := by have ht := activation_add_horizon h; omega have hvalid : ∀ i ∈ range (H-1), f i ≤ g i := by intro i hi exact safeBirth_probability M hE κ D G hG q hq0 hq1 h d hd i (by have hi' := mem_range.mp hi rw [htime] omega) have hgap : f (H-1) ≤ 0 := by have hb := pathExitSquare_le_birth_probability M hE κ D G hG q hq0 hq1 h d hd (H-1) have ht : -((H-1:ℕ):ℤ) = activation h + 1 := by omega have hz : bitsExpectation q univ (fun C => if nominalBirth M hE κ D (fun i => (C : Set α) ∩ (G i : Set α)) h d = -((H-1:ℕ):ℤ) then 1 else 0) = 0 := by rw [ht] simp only [nominalBirth_not_activation_succ, ite_false, bitsExpectation_const] exact hb.trans_eq hz have hbase : f H ≤ if d ∈ densityExpansion M hE κ (D h) (M.closure ∅) then 1 else 0 := by have hb := pathExitSquare_le_birth_probability M hE κ D G hG q hq0 hq1 h d hd H have heq : bitsExpectation q univ (fun C => if nominalBirth M hE κ D (fun i => (C : Set α) ∩ (G i : Set α)) h d = -(H:ℤ) then 1 else 0) = if d ∈ densityExpansion M hE κ (D h) (M.closure ∅) then 1 else 0 := by rw [← htime] simp only [nominalBirth_baseline_iff M hE κ D _ h d hd, bitsExpectation_const] exact hb.trans_eq heq have hsplit : (∑ i ∈ range (H+1), f i) = (∑ i ∈ range (H-1), f i) + f (H-1) + f H := by have hn : H+1 = (H-1+1)+1 := by omega rw [hn, sum_range_succ, sum_range_succ, Nat.sub_add_cancel hH] have hsum := path_squared_exit_mass M hE κ D G hG q hq0 hq1 d hd h change (((2:ℝ)^12)⁻¹)/2 ≤ ∑ i ∈ range (H+1), f i at hsum rw [hsplit] at hsum have hfg := sum_le_sum (fun i hi => hvalid i hi) have heq : bitsExpectation q univ (fun C => bitsExpectation q univ (safeEndpointCount M hE κ D G h d C)) = ∑ i ∈ range (H-1), g i := by change bitsExpectation q univ (fun C => bitsExpectation q univ (fun T => ∑ i ∈ range (H-1), if safeBirthEvent M hE κ D G h d (-(i:ℤ)) C T then 1 else 0)) = _ simp_rw [bitsExpectation_sum] rfl rw [heq] linarith noncomputable def safeCountBeforeParity (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (D : ℕ → Set α) (G : ℕ → Finset α) (h : ℕ) (I C T : Finset α) : ℝ := ∑ d ∈ I, safeEndpointCount M hE κ D G h d C T omit [Fintype α] [DecidableEq α] in lemma indep_not_loop (M : Matroid α) (I : Finset α) (hI : M.Indep (I : Set α)) {d : α} (hd : d ∈ I) : d ∉ M.closure ∅ := by intro he exact hI.notMem_closure_sdiff_of_mem hd (M.closure_subset_closure (Set.empty_subset _) he) theorem safeCountBeforeParity_lower (M : Matroid α) (hE : M.E = Set.univ) (κ : ℕ) (hκ : 0 < κ) (D : ℕ → Set α) (G : ℕ → Finset α) (hG : Pairwise (fun i j => Disjoint (G i) (G j))) (q : α → ℝ) (hq0 : ∀ e, 0 ≤ q e) (hq1 : ∀ e, q e ≤ 1) (h : ℕ) (I : Finset α) (hI : M.Indep (I : Set α)) : (((2:ℝ)^12)⁻¹) / 2 * I.card - (D h).ncard / (κ:ℝ) ≤ bitsExpectation q univ (fun C => bitsExpectation q univ (safeCountBeforeParity M hE κ D G h I C)) := by let Q := densityExpansion M hE κ (D h) (M.closure ∅) have hsum := sum_le_sum (fun d hd => safeEndpointCount_lower M hE κ D G hG q hq0 hq1 h d (indep_not_loop M I hI hd)) have hpre : bitsExpectation q univ (fun C => bitsExpectation q univ (safeCountBeforeParity M hE κ D G h I C)) = ∑ d ∈ I, bitsExpectation q univ (fun C => bitsExpectation q univ (safeEndpointCount M hE κ D G h d C)) := by change bitsExpectation q univ (fun C => bitsExpectation q univ (fun T => ∑ d ∈ I, safeEndpointCount M hE κ D G h d C T)) = _ simp_rw [bitsExpectation_sum] have hcount : (∑ d ∈ I, if d ∈ Q then (1:ℝ) else 0) = ((I.filter (fun d => d ∈ Q)).card : ℝ) := by simp have hset : ((I.filter (fun d => d ∈ Q) : Finset α) : Set α) = (I : Set α) ∩ Q := by ext d simp have hb := baseline_independent_count M hE κ (D h) (I : Set α) hI change κ * ((I : Set α) ∩ Q).ncard ≤ (D h).ncard at hb rw [← hset, Set.ncard_coe_finset] at hb have hb' : (κ:ℝ) * ((I.filter (fun d => d ∈ Q)).card : ℝ) ≤ ((D h).ncard:ℝ) := by exact_mod_cast hb have hκ' : (0:ℝ) < κ := by exact_mod_cast hκ have hb'' : ((I.filter (fun d => d ∈ Q)).card : ℝ) ≤ (D h).ncard / (κ:ℝ) := (le_div_iff₀ hκ').mpr (by simpa [mul_comm] using hb') rw [sum_add_distrib] at hsum change (∑ _ ∈ I, (((2:ℝ)^12)⁻¹)/2) ≤ (∑ d ∈ I, bitsExpectation q univ (fun C => bitsExpectation q univ (safeEndpointCount M hE κ D G h d C))) + ∑ d ∈ I, if d ∈ Q then (1:ℝ) else 0 at hsum rw [hcount, ← hpre] at hsum simp only [sum_const, nsmul_eq_mul] at hsum linarith end MatroidProphet end OAI