import Mathlib import OAI.Combinatorics.MatchingCount.Algorithm.OutputLengthBound import OAI.Combinatorics.MatchingCount.Algorithm.TreeWeights import OAI.Combinatorics.MatchingCount.Machines.OnlineUniform namespace OAI namespace MatchingFPRAS.PhysicalStream lemma qaverage_const {A : Type} [Fintype A] [Nonempty A] (q : ℚ) : qaverage (fun _ : A=>q)=q := by simp only [qaverage,Finset.sum_const,Finset.card_univ,nsmul_eq_mul] have h : (Fintype.card A:ℚ)≠0 := by exact_mod_cast Fintype.card_ne_zero field_simp end MatchingFPRAS.PhysicalStream namespace MatchingFPRAS.OnlineTrial open PhysicalStream TreeTyped TreeFraction ExecutableSource ExecutableScaling Transport UnitRefresh Enlargement attribute [local instance] NumberedHierarchy.labelOrder attribute [local instance] Transport.sym2Order Transport.bagEdgeOrder Transport.bagEdgeFintype attribute [local instance] UnitRefresh.Computable.allowedDec Transport.prodOrder Transport.sumOrder variable {G : GraphInput} [Nontrivial (Fin G.n)] lemma mean_drawAppend (p : Trial.Parameters G) {j : ℕ} (hj : j≤p.K) (L : FiniteTrial.Layer p j) {a : ℕ} (f : (Fin a→Bool)→L.Ω) (h : (L.append p hj).Ω→ℚ) : qaverage (fun b=>h (L.drawAppend p hj f b))= qaverage (fun c=>qaverage (fun b=>h ⟨f c,(L.state (f c)).drawStage p hj b⟩)) := by change qaverage ((fun c : (Fin a→Bool)×(Fin (FiniteTrial.stageBits p)→Bool)=> h ⟨f c.1,(L.state (f c.1)).drawStage p hj c.2⟩) ∘ pairBitsEquiv a (FiniteTrial.stageBits p))=_ rw [qaverage_equiv,qaverage_prod] lemma mean_layer_succ (p : Trial.Parameters G) {j : ℕ} (hj : j+1≤p.K) (h : (FiniteTrial.layers p (j+1) hj).Ω→ℚ) : qaverage (fun b=>h (FiniteTrial.drawLayer p (j+1) hj b))= qaverage (fun a=>qaverage (fun b=>h ⟨FiniteTrial.drawLayer p j (by omega) a, ((FiniteTrial.layers p j (by omega)).state (FiniteTrial.drawLayer p j (by omega) a)).drawStage p (by omega) b⟩)) := by change qaverage ((fun b=>h ((FiniteTrial.layers p j (by omega)).drawAppend p (by omega) (FiniteTrial.drawLayer p j (by omega)) b)) ∘ FiniteTrial.successorBitsEquiv j (FiniteTrial.stageBits p))=_ rw [qaverage_equiv] exact mean_drawAppend p (by omega) (FiniteTrial.layers p j (by omega)) (FiniteTrial.drawLayer p j (by omega)) h noncomputable def product {j : ℕ} (p : Trial.Parameters G) (L : FiniteTrial.Layer p j) (x : L.Ω) : ℚ := (Z (completeGraph G.n):ℚ)*∏ i,L.ratios x i omit [Nontrivial (Fin G.n)] in lemma product_nonneg [Nontrivial (Fin G.n)] {j : ℕ} (p : Trial.Parameters G) (L : FiniteTrial.Layer p j) (x : L.Ω) : 0≤product p L x := mul_nonneg (Nat.cast_nonneg _) (Finset.prod_nonneg (fun i _=>L.ratios_nonneg x i)) lemma product_append {j : ℕ} (p : Trial.Parameters G) (hj : j≤p.K) (L : FiniteTrial.Layer p j) (x : (L.append p hj).Ω) : product p (L.append p hj) x = product p L x.1 * (L.state x.1).ratioEstimate (RationalSource.sourceMarkedEquiv (L.state x.1).activity p.K ∘ x.2) := by unfold product FiniteTrial.Layer.append dsimp only rw [Fin.prod_snoc,mul_assoc] end MatchingFPRAS.OnlineTrial end OAI