Download lean/OAI/Combinatorics/MatchingCount/Algorithm/RationalUpdate.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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5.17 kB
| import Mathlib | |
| import OAI.Combinatorics.MatchingCount.Algorithm.RationalEstimator | |
| namespace OAI | |
| namespace MatchingFPRAS.FiniteTrial | |
| open Finset Enlargement Transport Switching | |
| variable {G : GraphInput} {j K S : ℕ} [Nontrivial (Fin G.n)] | |
| attribute [local instance] NumberedHierarchy.labelOrder sym2Order bagEdgeOrder bagEdgeFintype | |
| attribute [local instance] UnitRefresh.Computable.allowedDec prodOrder sumOrder | |
| noncomputable local instance (w : Fin G.n → Fin G.n → ℚ) (K : ℕ) : | |
| DecidableEq (SourceLabel (fun x y=>(w x y:ℝ)) K) := Classical.decEq _ | |
| noncomputable local instance (w : Fin G.n → Fin G.n → ℚ) (K : ℕ) : | |
| Fintype (BagEdge (sourceBags (fun x y=>(w x y:ℝ)) K)) := Fintype.ofFinite _ | |
| def ScaleState.Balanced (hn : 2≤G.n) (s : ScaleState G j) : Prop := s.toReal.Balanced hn | |
| omit [Nontrivial (Fin G.n)] in | |
| lemma initial_balanced (hn : 2≤G.n) (he : Even G.n) : (initialScaleState G hn).Balanced hn := | |
| Trial.initial_balanced G hn he | |
| noncomputable def stageData (p : Trial.Parameters G) (hj : j≤p.K) (s : ScaleState G j) | |
| (hs : s.Balanced p.hn) : StageData G.n p.K p.K where | |
| hn:=p.hn | |
| w a b:=(s.activity a b:ℝ) | |
| next a b:=(s.nextActivity a b:ℝ) | |
| positive a b:=by exact_mod_cast s.activity_pos a b | |
| next_positive a b:=by exact_mod_cast s.nextActivity_pos a b | |
| partition_positive:=by rw [s.activity_cast]; exact s.toReal.partition_pos p.even | |
| lower:=by rw [s.activity_cast]; exact hs.1 | |
| upper:=by rw [s.activity_cast]; exact hs.2 | |
| cool_lower a b _:=by | |
| have h:=(s.toReal.cooling a b).1 | |
| rw [←s.activity_cast,←s.nextActivity_cast] at h | |
| exact h | |
| cool_upper a b _:=by | |
| have h:=(s.toReal.cooling a b).2 | |
| rw [←s.activity_cast,←s.nextActivity_cast] at h | |
| exact h | |
| cap:=by rw [s.activity_cast]; exact s.toReal.cap hj | |
| stages:=p.K_pos | |
| epsilon:=p.epsilon | |
| epsilon_positive:=p.epsilon_real_pos | |
| epsilon_lt_one:=p.epsilon_real_lt_one | |
| theorem successful_update (p : Trial.Parameters G) (hj : j≤p.K) (s : ScaleState G j) | |
| (hs : s.Balanced p.hn) (x : Fin S → SourceMarked (fun a b=>(s.activity a b:ℝ)) p.K) | |
| (hx : StageGood (fun a b=>(s.activity a b:ℝ)) (fun a b=>(s.nextActivity a b:ℝ)) p.K p.sigma x) : | |
| (s.update p.hn (RationalSource.sourceMarkedEquiv s.activity p.K ∘ x)).Balanced p.hn ∧ | |
| |(s.ratioEstimate (RationalSource.sourceMarkedEquiv s.activity p.K ∘ x):ℝ)/ | |
| (partition (Trial.raw G (j+1)) ∅/partition (Trial.raw G j) ∅)-1|≤(p.epsilon:ℝ)/(100*p.K) := by | |
| let c:=stageData p hj s hs | |
| let obs : EmpiricalData c:=empiricalData c x hx | |
| have hh:=actual_successful_stage c obs | |
| dsimp only at hh | |
| let y:=RationalSource.sourceMarkedEquiv s.activity p.K ∘ x | |
| have hm : (fun a b=>(s.matrix y a b:ℝ))=Enlargement.estimateMatrix (Enlargement.sourceD (V:=Fin G.n) p.K) obs.dbar obs.zbar := by | |
| rw [s.matrix_cast,sourceD_eq] | |
| rfl | |
| have hv : (fun i=>(s.updateVector p.hn y i:ℝ))= | |
| RealStage.scalingTrace c.hn (Enlargement.estimateMatrix (Enlargement.sourceD (V:=Fin G.n) p.K) obs.dbar obs.zbar) G.n := by | |
| funext i | |
| rw [ScaleState.updateVector,Counting.scalingTrace_cast,hm] | |
| constructor | |
| · unfold ScaleState.Balanced Trial.ScaleState.Balanced | |
| rw [←ScaleState.activity_cast,ScaleState.update_activity] | |
| have ha : (fun a b=>((s.nextActivity a b*s.updateVector p.hn y a*s.updateVector p.hn y b:ℚ):ℝ))= | |
| (fun a b=>c.next a b*(RealStage.scalingTrace c.hn (Enlargement.estimateMatrix | |
| (Enlargement.sourceD (V:=Fin G.n) p.K) obs.dbar obs.zbar) G.n a)* | |
| (RealStage.scalingTrace c.hn (Enlargement.estimateMatrix | |
| (Enlargement.sourceD (V:=Fin G.n) p.K) obs.dbar obs.zbar) G.n b)) := by | |
| funext a z | |
| simp only [Rat.cast_mul,congrFun hv] | |
| rfl | |
| rw [ha] | |
| exact ⟨fun i=>(hh.2.1 i).1,fun i=>(hh.2.1 i).2⟩ | |
| · rw [s.ratioEstimate_cast] | |
| have hr : partition c.next ∅/partition c.w ∅= | |
| partition (Trial.raw G (j+1)) ∅/partition (Trial.raw G j) ∅ := by | |
| change partition (fun a b=>(s.nextActivity a b:ℝ)) ∅/partition (fun a b=>(s.activity a b:ℝ)) ∅=_ | |
| rw [s.nextActivity_cast,s.activity_cast,s.toReal.ratio] | |
| rw [←hr] | |
| exact hh.2.2 | |
| lemma ScaleState.ratioEstimate_nonneg (s : ScaleState G j) | |
| (x : Fin S → SourceMarked (fun a b=>(s.activity a b:ℝ)) K) : | |
| 0 ≤ s.ratioEstimate (RationalSource.sourceMarkedEquiv s.activity K ∘ x) := by | |
| have h : (0:ℝ)≤(s.ratioEstimate (RationalSource.sourceMarkedEquiv s.activity K ∘ x):ℝ) := by | |
| rw [s.ratioEstimate_cast] | |
| unfold RealStage.ratioEstimate | |
| split_ifs with h | |
| · apply div_nonneg _ h.le | |
| unfold Enlargement.sampleAverage | |
| apply div_nonneg _ (Nat.cast_nonneg S) | |
| apply sum_nonneg | |
| intro i _ | |
| exact (observableD_range_off (fun a b=>(s.activity a b:ℝ)) (fun a b=>(s.nextActivity a b:ℝ)) | |
| (fun a b=>by exact_mod_cast s.activity_pos a b) | |
| (fun a b=>by exact_mod_cast (s.nextActivity_pos a b).le) | |
| (fun a b _=>by have h:=(s.toReal.cooling a b).2; rw [←s.activity_cast,←s.nextActivity_cast] at h; exact h) K (x i)).1 | |
| · norm_num | |
| exact_mod_cast h | |
| end MatchingFPRAS.FiniteTrial | |
| end OAI | |