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| import Mathlib | |
| import OAI.Combinatorics.MatchingCount.Graphs.RatWeight | |
| namespace OAI | |
| noncomputable section | |
| namespace MatchingFPRAS.RealStage | |
| open Finset | |
| variable {n : ℕ} | |
| lemma scalingTrace_invariant (hn : 2 ≤ n) (G : Fin n → Fin n → ℝ) | |
| (hsym : ∀ i j, G i j=G j i) (hG : ∀ i j, i≠j → alpha ≤ G i j ∧ G i j ≤ 3) | |
| (k : ℕ) : ScaleInvariant G (scalingTrace hn G k) ∧ | |
| ∀ i, i.val<k → ∃ j, j≠i ∧ scalingTrace hn G k i*scalingTrace hn G k j=G i j := by | |
| induction k with | |
| | zero => | |
| constructor | |
| · constructor | |
| · intro i; norm_num [scalingTrace,alpha] | |
| · intro i; simp [scalingTrace] | |
| · intro i j h; have := (hG i j h).2; simp only [scalingTrace]; linarith | |
| · intro i hi; omega | |
| | succ k ih => | |
| by_cases hk : k<n | |
| · let i : Fin n := ⟨k,hk⟩ | |
| have hinv := scaleUpdate_invariant hn G (scalingTrace hn G k) hsym (fun i j h => (hG i j h).1) ih.1 i | |
| have htrace : scalingTrace hn G (k+1)=scaleUpdate hn G (scalingTrace hn G k) i := by | |
| simp [scalingTrace,hk,i] | |
| rw [htrace] | |
| refine ⟨hinv,?_⟩ | |
| intro a ha | |
| by_cases hak : a.val<k | |
| · obtain ⟨j,hj,he⟩ := ih.2 a hak | |
| refine ⟨j,hj,?_⟩ | |
| exact tight_persists G _ _ ih.1 hinv (scaleUpdate_le hn G _ ih.1 i) a j hj he | |
| · have hai : a=i := Fin.ext (by dsimp [i]; omega) | |
| subst a | |
| exact scaleUpdate_tight hn G _ ih.1 i | |
| · have htrace : scalingTrace hn G (k+1)=scalingTrace hn G k := by simp [scalingTrace,hk] | |
| rw [htrace] | |
| refine ⟨ih.1,?_⟩ | |
| intro i _ | |
| exact ih.2 i (by have := i.isLt; omega) | |
| open Finset | |
| theorem one_pass_scaling {n : ℕ} (hn : 2 ≤ n) (G : Fin n → Fin n → ℝ) | |
| (hsym : ∀ i j, G i j=G j i) (hG : ∀ i j, i≠j → alpha ≤ G i j ∧ G i j ≤ 3) : | |
| (∀ k i, scalingTrace hn G (k+1) i ≤ scalingTrace hn G k i) ∧ | |
| (∀ i, alpha/2 ≤ scalingTrace hn G n i ∧ scalingTrace hn G n i ≤ 2) ∧ | |
| (∀ i j, i≠j → G i j ≤ scalingTrace hn G n i * scalingTrace hn G n j) ∧ | |
| (∀ i, ∃ j, j≠i ∧ scalingTrace hn G n i * scalingTrace hn G n j=G i j) := by | |
| have htrace := scalingTrace_invariant hn G hsym hG | |
| refine ⟨?_,(htrace n).1.lower |> fun h => ?_⟩ | |
| · intro k i | |
| by_cases hk : k<n | |
| · change (if h : k<n then scaleUpdate hn G (scalingTrace hn G k) ⟨k,h⟩ else scalingTrace hn G k) i ≤ _ | |
| rw [dite_eq_left hk] | |
| exact scaleUpdate_le hn G _ (htrace k).1 ⟨k,hk⟩ i | |
| · simp [scalingTrace,hk] | |
| · refine ⟨fun i => ⟨h i,(htrace n).1.upper i⟩,(htrace n).1.feasible,?_⟩ | |
| intro i | |
| exact (htrace n).2 i i.isLt | |
| def rowPeak {n : ℕ} (hn : 2 ≤ n) (g : Fin n → Fin n → ℝ) (i : Fin n) : ℝ := | |
| (univ.erase i).sup' (others_nonempty hn i) (g i) | |
| def scaledHoleMatrix {n : ℕ} (g : Fin n → Fin n → ℝ) (v : Fin n → ℝ) (i j : Fin n) : ℝ := | |
| g i j/(v i*v j) | |
| def BalancedRows {n : ℕ} (hn : 2 ≤ n) (g : Fin n → Fin n → ℝ) : Prop := | |
| ∀ i, (1:ℝ)/4 ≤ rowPeak hn g i ∧ rowPeak hn g i ≤ 1 | |
| theorem one_pass_restores_balance {n : ℕ} (hn : 2 ≤ n) (g G : Fin n → Fin n → ℝ) | |
| (hGsym : ∀ i j, G i j=G j i) | |
| (hG : ∀ i j, i≠j → alpha ≤ G i j ∧ G i j ≤ 3) | |
| (hpre : ∀ i, (1:ℝ)/8 ≤ rowPeak hn g i) | |
| (haccuracy : ∀ i j, i≠j → g i j ≤ G i j ∧ G i j ≤ g i j+2*alpha) : | |
| (∀ i, (1:ℝ)/16 ≤ scalingTrace hn G n i) ∧ | |
| BalancedRows hn (scaledHoleMatrix g (scalingTrace hn G n)) := by | |
| let v := scalingTrace hn G n | |
| have hv := (scalingTrace_invariant hn G hGsym hG n).1 | |
| have hlow (i : Fin n) : (1:ℝ)/16 ≤ v i := by | |
| obtain ⟨j,hj,heq⟩ := Finset.exists_mem_eq_sup' (others_nonempty hn i) (g i) | |
| have hji := (mem_erase.mp hj).1 | |
| change rowPeak hn g i=g i j at heq | |
| have hgij : (1:ℝ)/8 ≤ g i j := by rw [← heq]; exact hpre i | |
| have hGi := (haccuracy i j hji.symm).1 | |
| have hfeas := hv.feasible i j hji.symm | |
| have hup := mul_le_mul_of_nonneg_left (hv.upper j) (hv.pos i).le | |
| dsimp [v] | |
| linarith | |
| refine ⟨hlow,?_⟩ | |
| intro i | |
| constructor | |
| · obtain ⟨j,hji,heq⟩ := (one_pass_scaling hn G hGsym hG).2.2.2 i | |
| have hprod : (1:ℝ)/256 ≤ v i*v j := by | |
| calc | |
| (1:ℝ)/256 = ((1:ℝ)/16)*((1:ℝ)/16) := by norm_num | |
| _ ≤ v i*v j := mul_le_mul (hlow i) (hlow j) (by norm_num) (hv.pos i).le | |
| have hacc := (haccuracy i j hji.symm).2 | |
| have hg : (1:ℝ)/4 ≤ scaledHoleMatrix g v i j := by | |
| apply (le_div_iff₀ (mul_pos (hv.pos i) (hv.pos j))).mpr | |
| change v i*v j=G i j at heq | |
| norm_num [alpha] at hacc | |
| nlinarith | |
| apply hg.trans | |
| exact Finset.le_sup' (scaledHoleMatrix g v i) (mem_erase.mpr ⟨hji,mem_univ _⟩) | |
| · apply Finset.sup'_le | |
| intro j hj | |
| have hji := (mem_erase.mp hj).1 | |
| apply (div_le_one (mul_pos (hv.pos i) (hv.pos j))).mpr | |
| exact ((haccuracy i j hji.symm).1).trans (hv.feasible i j hji.symm) | |
| def sigma (D K : ℕ) (epsilon : ℝ) : ℝ := min (alpha/(100*D)) (epsilon/(1000*K)) | |
| def ratioEstimate (abar dbar : ℝ) : ℝ := if 0<abar then dbar/abar else 1 | |
| def upperEstimate (D : ℕ) (dbar zbar : ℝ) : ℝ := | |
| if 0<dbar then max alpha (min 3 ((D:ℝ)*zbar/dbar+alpha)) else 1 | |
| lemma sigma_nonneg (D K : ℕ) (epsilon : ℝ) (he : 0 ≤ epsilon) : 0 ≤ sigma D K epsilon := by | |
| unfold sigma alpha; positivity | |
| lemma sigma_small (D K : ℕ) (hD : 1 ≤ D) (epsilon : ℝ) : sigma D K epsilon ≤ (1:ℝ)/10000000 := by | |
| have hDr : (1:ℝ) ≤ D := by exact_mod_cast hD | |
| apply (min_le_left _ _).trans | |
| apply (div_le_iff₀ (by positivity : 0 < (100:ℝ)*D)).mpr | |
| norm_num [alpha] | |
| linarith | |
| lemma sigma_times_D (D K : ℕ) (hD : 1 ≤ D) (epsilon : ℝ) : (D:ℝ)*sigma D K epsilon ≤ alpha/100 := by | |
| have hDr : (1:ℝ) ≤ D := by exact_mod_cast hD | |
| have hs : sigma D K epsilon ≤ alpha/(100*D) := min_le_left _ _ | |
| have hm := (le_div_iff₀ (by positivity : 0 < (100:ℝ)*D)).mp hs | |
| norm_num [alpha] at hm ⊢ | |
| nlinarith only [hm] | |
| lemma sigma_relative (D K : ℕ) (epsilon : ℝ) : 10*sigma D K epsilon ≤ epsilon/(100*K) := by | |
| have h : sigma D K epsilon ≤ epsilon/(1000*K) := min_le_right _ _ | |
| calc | |
| _ ≤ 10*(epsilon/(1000*K)) := mul_le_mul_of_nonneg_left h (by norm_num) | |
| _ = _ := by ring | |
| lemma ratio_error (s a d abar dbar : ℝ) (hs : 0 ≤ s) (hs1 : s ≤ (1:ℝ)/100) | |
| (ha : (1:ℝ)/2 ≤ a) (hR : (1:ℝ)/2 ≤ d/a ∧ d/a ≤ 1) | |
| (haerr : |abar-a| ≤ s) (hderr : |dbar-d| ≤ s) : | |
| |ratioEstimate abar dbar/(d/a)-1| ≤ 10*s := by | |
| have hab := abs_le.mp haerr | |
| have hdb := abs_le.mp hderr | |
| have hap : 0 < a := by linarith | |
| have habp : 0 < abar := by linarith | |
| have hRp : 0 < d/a := by linarith [hR.1] | |
| have hden : (1:ℝ)/5 ≤ (d/a)*abar := by | |
| have hbar : (1:ℝ)/2-s ≤ abar := by linarith | |
| have hm := mul_le_mul hR.1 hbar (by linarith : 0 ≤ (1:ℝ)/2-s) hRp.le | |
| nlinarith | |
| have hnum : |dbar-(d/a)*abar| ≤ 2*s := by | |
| have hid : dbar-(d/a)*abar=(dbar-d)+(d/a)*(a-abar) := by | |
| have hm : (d/a)*a=d := div_mul_cancel₀ d hap.ne' | |
| nlinarith | |
| rw [hid] | |
| calc | |
| _ ≤ |dbar-d|+|(d/a)*(a-abar)| := abs_add_le _ _ | |
| _ = |dbar-d|+(d/a)*|abar-a| := by rw [abs_mul,abs_of_pos hRp,abs_sub_comm a abar] | |
| _ ≤ s+(d/a)*s := add_le_add hderr (mul_le_mul_of_nonneg_left haerr hRp.le) | |
| _ ≤ 2*s := by nlinarith [mul_le_mul_of_nonneg_right hR.2 hs] | |
| have hid : ratioEstimate abar dbar/(d/a)-1=(dbar-(d/a)*abar)/((d/a)*abar) := by | |
| simp only [ratioEstimate, ite_eq_left habp] | |
| have hdne : d ≠ 0 := by intro hh; simp [hh] at hRp | |
| field_simp [hap.ne', habp.ne', hdne] | |
| rw [hid,abs_div,abs_of_pos (mul_pos hRp habp)] | |
| apply (div_le_iff₀ (mul_pos hRp habp)).mpr | |
| nlinarith [mul_le_mul_of_nonneg_right hden (show 0 ≤ 10*s by positivity)] | |
| lemma upper_error (D : ℕ) (hD : 1 ≤ D) (s d z dbar zbar : ℝ) | |
| (hs : 0 ≤ s) (hs1 : s ≤ (1:ℝ)/100) | |
| (hDs : (D:ℝ)*s ≤ alpha/100) (hd : (1:ℝ)/4 ≤ d) | |
| (hg : 0 ≤ (D:ℝ)*z/d ∧ (D:ℝ)*z/d ≤ 2) | |
| (hderr : |dbar-d| ≤ s) (hzerr : |zbar-z| ≤ s) : | |
| alpha ≤ upperEstimate D dbar zbar ∧ upperEstimate D dbar zbar ≤ 3 ∧ | |
| (D:ℝ)*z/d ≤ upperEstimate D dbar zbar ∧ | |
| upperEstimate D dbar zbar ≤ (D:ℝ)*z/d+2*alpha := by | |
| have hDr : (1:ℝ) ≤ D := by exact_mod_cast hD | |
| have hdp : 0 < d := by linarith | |
| have hdb := abs_le.mp hderr | |
| have hbar : (1:ℝ)/5 ≤ dbar := by linarith | |
| have hbarp : 0 < dbar := by linarith | |
| let g := (D:ℝ)*z/d | |
| have hg0 : 0 ≤ g := hg.1 | |
| have hg2 : g ≤ 2 := hg.2 | |
| have hnum : |(D:ℝ)*(zbar-z)+g*(d-dbar)| ≤ ((D:ℝ)+2)*s := by | |
| calc | |
| _ ≤ |(D:ℝ)*(zbar-z)|+|g*(d-dbar)| := abs_add_le _ _ | |
| _ = (D:ℝ)*|zbar-z|+g*|dbar-d| := by | |
| rw [abs_mul, abs_mul, abs_of_nonneg (Nat.cast_nonneg D), abs_of_nonneg hg0, | |
| abs_sub_comm d dbar] | |
| _ ≤ (D:ℝ)*s+g*s := add_le_add (mul_le_mul_of_nonneg_left hzerr (Nat.cast_nonneg D)) | |
| (mul_le_mul_of_nonneg_left hderr hg0) | |
| _ ≤ ((D:ℝ)+2)*s := by nlinarith [mul_le_mul_of_nonneg_right hg2 hs] | |
| have hid : (D:ℝ)*zbar/dbar-g=((D:ℝ)*(zbar-z)+g*(d-dbar))/dbar := by | |
| dsimp [g] | |
| field_simp [hdp.ne', hbarp.ne'] | |
| ring | |
| have hraw : |(D:ℝ)*zbar/dbar-g| ≤ alpha := by | |
| rw [hid, abs_div, abs_of_pos hbarp] | |
| apply (div_le_iff₀ hbarp).mpr | |
| have hsm : s ≤ (D:ℝ)*s := by nlinarith [mul_le_mul_of_nonneg_right hDr hs] | |
| have ha : 0 < alpha := by norm_num [alpha] | |
| have hm := mul_le_mul_of_nonneg_left hbar ha.le | |
| norm_num [alpha] at hDs hm ⊢ | |
| nlinarith only [hDs, hm, hnum, hsm] | |
| have hbounds := abs_le.mp hraw | |
| unfold upperEstimate | |
| rw [ite_eq_left hbarp] | |
| refine ⟨le_max_left _ _, ?_, ?_, ?_⟩ | |
| · apply max_le | |
| · norm_num [alpha] | |
| · exact min_le_left _ _ | |
| · apply le_max_of_le_right | |
| exact le_min (by linarith) (by linarith) | |
| · apply max_le | |
| · have ha : 0 ≤ alpha := by norm_num [alpha] | |
| linarith | |
| · exact (min_le_right _ _).trans (by linarith) | |
| theorem successful_stage_estimates (D K : ℕ) (hD : 1 ≤ D) (_hK : 1 ≤ K) | |
| (epsilon : ℝ) (he : 0<epsilon) (he1 : epsilon<1) | |
| (a d z abar dbar zbar : ℝ) (ha : (1:ℝ)/2 ≤ a) (hd : (1:ℝ)/4 ≤ d) | |
| (hR : (1:ℝ)/2 ≤ d/a ∧ d/a ≤ 1) | |
| (hg : 0 ≤ (D:ℝ)*z/d ∧ (D:ℝ)*z/d ≤ 2) | |
| (haerr : |abar-a| ≤ sigma D K epsilon) | |
| (hderr : |dbar-d| ≤ sigma D K epsilon) | |
| (hzerr : |zbar-z| ≤ sigma D K epsilon) : | |
| 0<abar ∧ 0<dbar ∧ | |
| |ratioEstimate abar dbar/(d/a)-1| ≤ 10*sigma D K epsilon ∧ | |
| 10*sigma D K epsilon ≤ epsilon/(100*K) ∧ | |
| alpha ≤ upperEstimate D dbar zbar ∧ upperEstimate D dbar zbar ≤ 3 ∧ | |
| (D:ℝ)*z/d ≤ upperEstimate D dbar zbar ∧ | |
| upperEstimate D dbar zbar ≤ (D:ℝ)*z/d+2*alpha := by | |
| have hs := sigma_nonneg D K epsilon he.le | |
| have hs1 : sigma D K epsilon ≤ (1:ℝ)/100 := | |
| (sigma_small D K hD epsilon).trans (by norm_num) | |
| have hab := abs_le.mp haerr | |
| have hdb := abs_le.mp hderr | |
| refine ⟨by linarith, by linarith, ?_, sigma_relative D K epsilon, ?_⟩ | |
| · exact ratio_error _ _ _ _ _ hs hs1 ha hR haerr hderr | |
| · exact upper_error D hD _ _ _ _ _ hs hs1 (sigma_times_D D K hD epsilon) hd hg hderr hzerr | |
| end MatchingFPRAS.RealStage | |
| end | |
| namespace MatchingFPRAS.Enlargement | |
| open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry | |
| open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport MatchingFPRAS.StageAnalysis Finset | |
| open scoped Classical | |
| variable {V : Type*} [Fintype V] [LinearOrder V] | |
| def pairEdge (i j : V) (hij : i≠j) : LogicalEdge V := | |
| ⟨(min i j,max i j),min_lt_max.mpr hij⟩ | |
| omit [Fintype V] in | |
| lemma pairEdge_swap (i j : V) (hij : i≠j) : pairEdge i j hij=pairEdge j i hij.symm := by | |
| apply Subtype.ext | |
| simp [pairEdge,min_comm,max_comm] | |
| omit [Fintype V] in | |
| lemma pairEdge_holes (i j : V) (hij : i≠j) : | |
| ({source (pairEdge i j hij),target (pairEdge i j hij)} : Finset V)={i,j} := by | |
| rcases le_total i j with h|h | |
| · simp [pairEdge,source,target,min_eq_left h,max_eq_right h] | |
| · simp [pairEdge,source,target,min_eq_right h,max_eq_left h,Finset.pair_comm] | |
| noncomputable def probeMatrix (z : LogicalEdge V → ℝ) (i j : V) : ℝ := | |
| if hij : i=j then 0 else z (pairEdge i j hij) | |
| omit [Fintype V] in | |
| lemma probeMatrix_off (z : LogicalEdge V → ℝ) (i j : V) (hij : i≠j) : | |
| probeMatrix z i j=z (pairEdge i j hij) := dite_eq_right hij | |
| omit [Fintype V] in | |
| lemma probeMatrix_symm (z : LogicalEdge V → ℝ) (i j : V) : probeMatrix z i j=probeMatrix z j i := by | |
| by_cases hij : i=j | |
| · subst j; rfl | |
| · rw [probeMatrix_off _ _ _ hij,probeMatrix_off _ _ _ (Ne.symm hij),pairEdge_swap] | |
| noncomputable def estimateMatrix (D : ℕ) (dbar : ℝ) (zbar : LogicalEdge V → ℝ) (i j : V) : ℝ := | |
| RealStage.upperEstimate D dbar (probeMatrix zbar i j) | |
| omit [Fintype V] in | |
| lemma estimateMatrix_symm (D : ℕ) (dbar : ℝ) (zbar : LogicalEdge V → ℝ) (i j : V) : | |
| estimateMatrix D dbar zbar i j=estimateMatrix D dbar zbar j i := by | |
| rw [estimateMatrix,estimateMatrix,probeMatrix_symm] | |
| lemma rowMax_cooling_lower (hn : 2 ≤ Fintype.card V) (w w₁ : V → V → ℝ) | |
| (hw : ∀ x y,0 ≤ w x y) (hz : 0 < partition w ∅) | |
| (hr : ∀ i,(1:ℝ)/4 ≤ rowMax hn w i) | |
| (hc : ∀ R,partition w R/2 ≤ partition w₁ R ∧ partition w₁ R ≤ partition w R) (i : V) : | |
| (1:ℝ)/8 ≤ rowMax hn w₁ i := by | |
| obtain ⟨j,hji,hj⟩ := rowMax_attained hn w i | |
| have h := (holeRatio_cooling w w₁ hw hz hc {i,j}).1 | |
| have hu := holeRatio_le_rowMax hn w₁ i j hji.symm | |
| rw [hj] at h | |
| linarith [hr i] | |
| variable [Nontrivial V] | |
| noncomputable local instance (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _ | |
| noncomputable local instance (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _ | |
| noncomputable def meanA (w : V → V → ℝ) (K : ℕ) : ℝ := | |
| ∑ q : SourceMarked w K,sourceLaw w K (sourceD (V:=V) K) q*observableA w K q | |
| noncomputable def meanD (w w₁ : V → V → ℝ) (K : ℕ) : ℝ := | |
| ∑ q : SourceMarked w K,sourceLaw w K (sourceD (V:=V) K) q*observableD w w₁ K q | |
| noncomputable def meanProbe (w w₁ : V → V → ℝ) (K : ℕ) (e : LogicalEdge (V)) : ℝ := | |
| ∑ q : SourceMarked w K,sourceLaw w K (sourceD (V:=V) K) q*observableProbe w w₁ K e q | |
| variable {n : ℕ} [Nontrivial (Fin n)] | |
| noncomputable local instance (w : Fin n → Fin n → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _ | |
| noncomputable local instance (w : Fin n → Fin n → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _ | |
| omit [Nontrivial (Fin n)] in | |
| lemma rowPeak_holeMatrix (hn : 2 ≤ n) (w : Fin n → Fin n → ℝ) (i : Fin n) : | |
| RealStage.rowPeak hn (fun i j => Switching.holeRatio w {i,j}) i= | |
| rowMax (by simpa using hn) w i := rfl | |
| structure StageData (n K T : ℕ) where | |
| hn : 2 ≤ n | |
| w : Fin n → Fin n → ℝ | |
| next : Fin n → Fin n → ℝ | |
| positive : ∀ i j,0 < w i j | |
| next_positive : ∀ i j,0 < next i j | |
| partition_positive : 0 < partition w ∅ | |
| lower : ∀ i,(1:ℝ)/4 ≤ rowMax (by simpa using hn) w i | |
| upper : ∀ i,rowMax (by simpa using hn) w i ≤ 1 | |
| cool_lower : ∀ i j,i≠j → (1+1/(n:ℝ))⁻¹*w i j ≤ next i j | |
| cool_upper : ∀ i j,i≠j → next i j ≤ w i j | |
| cap : ∀ i j,i≠j → edgeActivity w i j ≤ (4:ℝ)^K | |
| stages : 1 ≤ T | |
| epsilon : ℝ | |
| epsilon_positive : 0 < epsilon | |
| epsilon_lt_one : epsilon < 1 | |
| variable {K T : ℕ} | |
| structure EmpiricalData (c : StageData n K T) where | |
| abar : ℝ | |
| dbar : ℝ | |
| zbar : LogicalEdge (Fin n) → ℝ | |
| errorA : |abar-meanA c.w K| ≤ RealStage.sigma (sourceD (V:=Fin n) K) T c.epsilon | |
| errorD : |dbar-meanD c.w c.next K| ≤ RealStage.sigma (sourceD (V:=Fin n) K) T c.epsilon | |
| errorProbe : ∀ e,|zbar e-meanProbe c.w c.next K e| ≤ RealStage.sigma (sourceD (V:=Fin n) K) T c.epsilon | |
| omit [Nontrivial (Fin n)] in | |
| lemma StageData.cooling (c : StageData n K T) (R : Finset (Fin n)) : | |
| partition c.w R/2 ≤ partition c.next R ∧ partition c.next R ≤ partition c.w R := by | |
| apply partition_cooling (by simpa using c.hn) c.w c.next (fun i j => (c.positive i j).le) | |
| · simpa using c.cool_lower | |
| · exact c.cool_upper | |
| lemma StageData.mean_bounds (c : StageData n K T) : | |
| (1:ℝ)/2 ≤ meanA c.w K ∧ (1:ℝ)/4 ≤ meanD c.w c.next K ∧ | |
| meanD c.w c.next K/meanA c.w K=partition c.next ∅/partition c.w ∅ ∧ | |
| (1:ℝ)/2 ≤ meanD c.w c.next K/meanA c.w K ∧ meanD c.w c.next K/meanA c.w K ≤ 1 ∧ | |
| (∀ e,(sourceD (V:=Fin n) K:ℝ)*meanProbe c.w c.next K e/meanD c.w c.next K= | |
| Switching.holeRatio c.next {source e,target e}) := by | |
| have h := source_observable_means (V:=Fin n) (by simpa using c.hn) c.w c.next c.positive c.partition_positive | |
| c.lower c.upper (by simpa using c.cool_lower) c.cool_upper K c.cap | |
| unfold meanA meanD meanProbe | |
| exact h.2.2 | |
| omit [Nontrivial (Fin n)] in | |
| lemma StageData.hole_upper (c : StageData n K T) (i j : Fin n) (hij : i≠j) : | |
| Switching.holeRatio c.next {i,j} ≤ 2 := by | |
| have h := (holeRatio_cooling c.w c.next (fun i j => (c.positive i j).le) | |
| c.partition_positive c.cooling {i,j}).2 | |
| have hr := (holeRatio_le_rowMax (by simpa using c.hn) c.w i j hij).trans (c.upper i) | |
| linarith | |
| theorem actual_stage_statistics (c : StageData n K T) (b : EmpiricalData c) (i j : Fin n) (hij : i≠j) : | |
| let G := estimateMatrix (sourceD (V:=Fin n) K) b.dbar b.zbar | |
| 0 < b.abar ∧ 0 < b.dbar ∧ | |
| |RealStage.ratioEstimate b.abar b.dbar/(partition c.next ∅/partition c.w ∅)-1| ≤ c.epsilon/(100*T) ∧ | |
| RealStage.alpha ≤ G i j ∧ G i j ≤ 3 ∧ | |
| Switching.holeRatio c.next {i,j} ≤ G i j ∧ | |
| G i j ≤ Switching.holeRatio c.next {i,j}+2*RealStage.alpha := by | |
| dsimp only | |
| have hm := c.mean_bounds | |
| have hem := hm.2.2.2.2.2 (pairEdge i j hij) | |
| rw [pairEdge_holes] at hem | |
| have hg0 := holeRatio_nonneg c.next (fun x y => (c.next_positive x y).le) {i,j} | |
| have h := RealStage.successful_stage_estimates (sourceD (V:=Fin n) K) T (sourceD_one K) | |
| c.stages c.epsilon c.epsilon_positive c.epsilon_lt_one | |
| (meanA c.w K) (meanD c.w c.next K) (meanProbe c.w c.next K (pairEdge i j hij)) | |
| b.abar b.dbar (b.zbar (pairEdge i j hij)) hm.1 hm.2.1 | |
| ⟨hm.2.2.2.1,hm.2.2.2.2.1⟩ | |
| ⟨by rw [hem]; exact hg0,by rw [hem]; exact c.hole_upper i j hij⟩ | |
| b.errorA b.errorD (b.errorProbe _) | |
| refine ⟨h.1,h.2.1,?_,?_⟩ | |
| · have he := h.2.2.1.trans h.2.2.2.1 | |
| rwa [hm.2.2.1] at he | |
| · simpa only [estimateMatrix,probeMatrix_off _ _ _ hij,hem] using h.2.2.2.2 | |
| theorem actual_successful_stage (c : StageData n K T) (b : EmpiricalData c) : | |
| let G := estimateMatrix (sourceD (V:=Fin n) K) b.dbar b.zbar | |
| let v := RealStage.scalingTrace c.hn G n | |
| (∀ i,(1:ℝ)/16 ≤ v i ∧ v i ≤ 2) ∧ | |
| (∀ i,(1:ℝ)/4 ≤ rowMax (by simpa using c.hn) (fun x y => c.next x y*v x*v y) i ∧ | |
| rowMax (by simpa using c.hn) (fun x y => c.next x y*v x*v y) i ≤ 1) ∧ | |
| |RealStage.ratioEstimate b.abar b.dbar/(partition c.next ∅/partition c.w ∅)-1| ≤ c.epsilon/(100*T) := by | |
| dsimp only | |
| let G := estimateMatrix (sourceD (V:=Fin n) K) b.dbar b.zbar | |
| let g := fun i j => Switching.holeRatio c.next {i,j} | |
| have hest := actual_stage_statistics c b | |
| have hGs := estimateMatrix_symm (sourceD (V:=Fin n) K) b.dbar b.zbar | |
| have hGb : ∀ i j,i≠j → RealStage.alpha ≤ G i j ∧ G i j ≤ 3 := by | |
| intro i j hij | |
| exact ⟨(hest i j hij).2.2.2.1,(hest i j hij).2.2.2.2.1⟩ | |
| have hGa : ∀ i j,i≠j → g i j ≤ G i j ∧ G i j ≤ g i j+2*RealStage.alpha := by | |
| intro i j hij | |
| exact (hest i j hij).2.2.2.2.2 | |
| have hpre : ∀ i,(1:ℝ)/8 ≤ RealStage.rowPeak c.hn g i := by | |
| intro i | |
| rw [show g=(fun i j => Switching.holeRatio c.next {i,j}) from rfl,rowPeak_holeMatrix] | |
| exact rowMax_cooling_lower (by simpa using c.hn) c.w c.next (fun x y => (c.positive x y).le) | |
| c.partition_positive c.lower c.cooling i | |
| have hb := RealStage.one_pass_restores_balance c.hn g G hGs hGb hpre hGa | |
| let v := RealStage.scalingTrace c.hn G n | |
| have hv := (RealStage.scalingTrace_invariant c.hn G hGs hGb n).1 | |
| have heq (i j : Fin n) (hij : i≠j) : | |
| Switching.holeRatio (fun x y => c.next x y*v x*v y) {i,j}=RealStage.scaledHoleMatrix g v i j := by | |
| rw [holeRatio_vertex_scaling c.next v (fun x => hv.pos x),Finset.prod_pair hij] | |
| rfl | |
| have hb' (i : Fin n) : (1:ℝ)/4 ≤ rowMax (by simpa using c.hn) (fun x y => c.next x y*v x*v y) i ∧ | |
| rowMax (by simpa using c.hn) (fun x y => c.next x y*v x*v y) i ≤ 1 := by | |
| have he : rowMax (by simpa using c.hn) (fun x y => c.next x y*v x*v y) i= | |
| RealStage.rowPeak c.hn (RealStage.scaledHoleMatrix g v) i := by | |
| unfold rowMax RealStage.rowPeak | |
| apply Finset.sup'_congr _ rfl | |
| intro j hj | |
| exact heq i j (Finset.mem_erase.mp hj).1.symm | |
| rw [he] | |
| exact hb.2 i | |
| refine ⟨fun i => ⟨hb.1 i,hv.upper i⟩,hb',?_⟩ | |
| let i : Fin n := ⟨0,by have := c.hn; omega⟩ | |
| let j : Fin n := ⟨1,by have := c.hn; omega⟩ | |
| have hij : i≠j := by intro h; have := Fin.val_eq_of_eq h; dsimp [i,j] at this; omega | |
| exact (hest i j hij).2.2.1 | |
| end MatchingFPRAS.Enlargement | |
| end OAI | |