import OAI.Combinatorics.CycleDecomposition.ScaleDecomposition namespace OAI universe cycleUniverse1 cycleUniverse2 cycleUniverse3 cycleUniverse4 cycleUniverse5 cycleUniverse6 cycleUniverse7 cycleUniverse8 cycleUniverse9 cycleUniverse10 cycleUniverse11 cycleUniverse12 cycleUniverse13 cycleUniverse14 cycleUniverse15 cycleUniverse16 section open Filter Asymptotics Real open scoped Topology noncomputable section open MeasureTheory ProbabilityTheory Finset section namespace ErdosGallai.Indexing noncomputable section open Finset variable {I : Type cycleUniverse1} [DecidableEq I] def batchWeight (w : I → ℕ) (b : Finset I) : ℝ := ∑ i ∈ b, (w i : ℝ) lemma batchWeight_nonneg {I : Type cycleUniverse2} [_contextInstance1 : DecidableEq I] (w : I → ℕ) (b : Finset I) : 0 ≤ batchWeight w b := by exact Finset.sum_nonneg (fun _ _ => Nat.cast_nonneg _) lemma indexed_batch_construction (w : I → ℕ) (A : Finset I) (B : ℝ) (hB : 0 < B) (hw : ∀ i ∈ A, (w i : ℝ) ≤ B/2) : ∃ P : List (Finset I), P.Pairwise Disjoint ∧ (∀ i, i ∈ A ↔ ∃ b ∈ P, i ∈ b) ∧ (∀ b ∈ P, b.Nonempty ∧ batchWeight w b ≤ B) ∧ (∀ b ∈ P.tail, B/2 < batchWeight w b) ∧ (P.map (batchWeight w)).sum = batchWeight w A := by induction A using Finset.induction_on with | empty => refine ⟨[], by simp, ?_, by simp, by simp, ?_⟩ · simp · simp [batchWeight] | @insert a A ha ih => obtain ⟨P, hdisj, hcover, hbins, hheavy, hmass⟩ := ih (fun i hi => hw i (by simp [hi])) have hwa := hw a (by simp) have haP : ∀ b ∈ P, a ∉ b := by intro b hb hab exact ha ((hcover a).mpr ⟨b,hb,hab⟩) cases P with | nil => have hAz : A = ∅ := by apply Finset.eq_empty_iff_forall_notMem.mpr intro i hi simpa using (hcover i).mp hi subst A refine ⟨[{a}], by simp, ?_, ?_, by simp, ?_⟩ · intro i; simp · intro b hb simp only [List.mem_singleton] at hb subst b exact ⟨by simp, by simp [batchWeight]; linarith⟩ · simp | cons b bs => have hab : a ∉ b := haP b (by simp) obtain ⟨hbne,hbB⟩ := hbins b (by simp) by_cases hlight : batchWeight w b ≤ B/2 · refine ⟨insert a b :: bs, ?_, ?_, ?_, ?_, ?_⟩ · rw [List.pairwise_cons] refine ⟨?_, (List.pairwise_cons.mp hdisj).2⟩ intro d hd exact Finset.disjoint_insert_left.mpr ⟨haP d (by simp [hd]), (List.pairwise_cons.mp hdisj).1 d hd⟩ · intro i constructor · intro hia rcases Finset.mem_insert.mp hia with hia | hi · exact ⟨insert a b, by simp, by simp [hia]⟩ · obtain ⟨d,hd,hid⟩ := (hcover i).mp hi rcases List.mem_cons.mp hd with hd | hd · subst d exact ⟨insert a b, by simp, Finset.mem_insert_of_mem hid⟩ · exact ⟨d, by simp [hd], hid⟩ · rintro ⟨d,hd,hid⟩ rcases List.mem_cons.mp hd with rfl | hd · rcases Finset.mem_insert.mp hid with rfl | hib · simp · exact Finset.mem_insert_of_mem ((hcover i).mpr ⟨b, by simp, hib⟩) · exact Finset.mem_insert_of_mem ((hcover i).mpr ⟨d, by simp [hd], hid⟩) · intro d hd rcases List.mem_cons.mp hd with rfl | hd · refine ⟨by simp, ?_⟩ simp only [batchWeight, Finset.sum_insert hab] change (w a : ℝ) + batchWeight w b ≤ B linarith · exact hbins d (by simp [hd]) · simpa using hheavy · simp only [List.map_cons, List.sum_cons] at hmass ⊢ rw [show batchWeight w (insert a b) = (w a:ℝ)+batchWeight w b by simp [batchWeight, hab], show batchWeight w (insert a A) = (w a:ℝ)+batchWeight w A by simp [batchWeight, ha]] linarith · refine ⟨{a} :: b :: bs, ?_, ?_, ?_, ?_, ?_⟩ · rw [List.pairwise_cons] exact ⟨fun d hd => Finset.disjoint_singleton_left.mpr (haP d hd), hdisj⟩ · intro i constructor · intro hi rcases Finset.mem_insert.mp hi with hia | hi · exact ⟨{a}, by simp, by simp [hia]⟩ · obtain ⟨d,hd,hid⟩ := (hcover i).mp hi exact ⟨d, List.mem_cons_of_mem _ hd, hid⟩ · rintro ⟨d,hd,hid⟩ rcases List.mem_cons.mp hd with rfl | hd · exact Finset.mem_insert.mpr (Or.inl (Finset.mem_singleton.mp hid)) · exact Finset.mem_insert_of_mem ((hcover i).mpr ⟨d,hd,hid⟩) · intro d hd rcases List.mem_cons.mp hd with rfl | hd · exact ⟨by simp, by simp [batchWeight]; linarith⟩ · exact hbins d hd · intro d hd rcases List.mem_cons.mp hd with rfl | hd · exact lt_of_not_ge hlight · exact hheavy d hd · simp only [List.map_cons, List.sum_cons] at hmass ⊢ simp only [batchWeight, Finset.sum_singleton, Finset.sum_insert ha] at hmass ⊢ linarith lemma batch_tail_mass {I : Type cycleUniverse3} [_contextInstance1 : DecidableEq I] (w : I → ℕ) (P : List (Finset I)) (t : ℝ) (ht : ∀ b ∈ P, t ≤ batchWeight w b) : (P.length : ℝ)*t ≤ (P.map (batchWeight w)).sum := by induction P with | nil => simp | cons b bs ih => have hb := ht b (by simp) have hbs := ih (fun d hd => ht d (by simp [hd])) simp only [List.length_cons, Nat.cast_add, Nat.cast_one, List.map_cons, List.sum_cons] nlinarith theorem indexed_batch_partition (w : I → ℕ) (A : Finset I) (B : ℝ) (hB : 0 < B) (hw : ∀ i ∈ A, (w i : ℝ) ≤ B/2) : ∃ P : List (Finset I), P.Pairwise Disjoint ∧ (∀ i, i ∈ A ↔ ∃ b ∈ P, i ∈ b) ∧ (∀ b ∈ P, b.Nonempty ∧ batchWeight w b ≤ B) ∧ (P.map (batchWeight w)).sum = batchWeight w A ∧ (P.length : ℝ) ≤ 1 + 2*batchWeight w A/B := by obtain ⟨P,hd,hc,hb,ht,hm⟩ := indexed_batch_construction w A B hB hw refine ⟨P,hd,hc,hb,hm,?_⟩ have htail := batch_tail_mass w P.tail (B/2) (fun b hb => (ht b hb).le) cases P with | nil => simp only [List.length_nil, Nat.cast_zero] have hh := div_nonneg (mul_nonneg (by norm_num : (0:ℝ) ≤ 2) (batchWeight_nonneg w A)) hB.le linarith | cons b bs => simp only [List.tail_cons, List.length_cons, Nat.cast_add, Nat.cast_one] at htail ⊢ simp only [List.map_cons, List.sum_cons] at hm have hb0 := batchWeight_nonneg w b have hdv : (bs.length : ℝ) ≤ 2*batchWeight w A/B := by apply (le_div_iff₀ hB).mpr linarith linarith end end ErdosGallai.Indexing namespace ErdosGallai.Indexing noncomputable section open scoped BigOperators private theorem cover_card_le {V : Type cycleUniverse4} {I : Type cycleUniverse5} [DecidableEq V] [Fintype I] (S : Finset V) (W : I → Finset V) (h : S ⊆ Finset.univ.biUnion W) : S.card ≤ ∑ i, (W i).card := (Finset.card_le_card h).trans Finset.card_biUnion_le private theorem disjoint_piece_inter {V : Type cycleUniverse6} {J : Type cycleUniverse7} [DecidableEq V] [Fintype J] (R : J → Finset V) (hR : Pairwise fun i j => Disjoint (R i) (R j)) (S : Finset V) : (S ∩ Finset.univ.biUnion R).card = ∑ j, (S ∩ R j).card := by rw [Finset.inter_biUnion] apply Finset.card_biUnion intro i _ j _ hij exact (hR hij).mono Finset.inter_subset_right Finset.inter_subset_right theorem active_occurrences {V : Type cycleUniverse8} {I : Type cycleUniverse9} {J : Type cycleUniverse10} [DecidableEq V] [Fintype I] [Fintype J] (Y good : Finset V) (W : I → Finset V) (R : J → Finset V) (_hW : ∀ i, W i ⊆ Y) (hRsub : ∀ j, R j ⊆ Y) (hcover : Y ⊆ Finset.univ.biUnion W) (hR : Pairwise fun i j => Disjoint (R i) (R j)) (keep : I → J → Prop) [∀ i j, Decidable (keep i j)] : let active := ∑ i, ∑ j, if keep i j then (W i ∩ R j ∩ good).card else 0 let skipped := ∑ i, ∑ j, if keep i j then 0 else (W i ∩ R j ∩ good).card (∑ j, (R j).card) ≤ active + skipped + (Y \ good).card ∧ active + Y.card ≤ (∑ j, (R j).card) + ∑ i, (W i).card := by classical dsimp only let U := Finset.univ.biUnion R have hU : U ⊆ Y := by intro v hv obtain ⟨j, _, hj⟩ := Finset.mem_biUnion.mp hv exact hRsub j hj have hcard : U.card = ∑ j, (R j).card := by apply Finset.card_biUnion intro i _ j _ hij exact hR hij let mass := ∑ i, ∑ j, (W i ∩ R j ∩ good).card let whole := ∑ i, (W i ∩ U).card have hsplit : (∑ i, ∑ j, if keep i j then (W i ∩ R j ∩ good).card else 0) + (∑ i, ∑ j, if keep i j then 0 else (W i ∩ R j ∩ good).card) = mass := by dsimp [mass] rw [← Finset.sum_add_distrib] apply Finset.sum_congr rfl intro i _ rw [← Finset.sum_add_distrib] apply Finset.sum_congr rfl intro j _ split_ifs <;> omega have hgood : (U ∩ good).card ≤ mass := by have hc : U ∩ good ⊆ Finset.univ.biUnion (fun i => W i ∩ U ∩ good) := by intro v hv obtain ⟨i, hi, hvi⟩ := Finset.mem_biUnion.mp (hcover (hU (Finset.mem_inter.mp hv).1)) exact Finset.mem_biUnion.mpr ⟨i, hi, Finset.mem_inter.mpr ⟨Finset.mem_inter.mpr ⟨hvi, (Finset.mem_inter.mp hv).1⟩, (Finset.mem_inter.mp hv).2⟩⟩ apply (cover_card_le (U ∩ good) _ hc).trans apply le_of_eq apply Finset.sum_congr rfl intro i _ have heq : W i ∩ U ∩ good = (W i ∩ good) ∩ U := by ext v; simp only [Finset.mem_inter]; tauto rw [heq, disjoint_piece_inter R hR] apply Finset.sum_congr rfl intro j _ congr 1 ext v simp only [Finset.mem_inter] tauto have hbad : (U \ good).card ≤ (Y \ good).card := by apply Finset.card_le_card intro v hv exact Finset.mem_sdiff.mpr ⟨hU (Finset.mem_sdiff.mp hv).1, (Finset.mem_sdiff.mp hv).2⟩ have hmass : mass ≤ whole := by apply Finset.sum_le_sum intro i _ rw [disjoint_piece_inter R hR] exact Finset.sum_le_sum fun j _ => Finset.card_le_card Finset.inter_subset_left have houtside : (Y \ U).card ≤ ∑ i, (W i \ U).card := by apply cover_card_le intro v hv obtain ⟨i, hi, hvi⟩ := Finset.mem_biUnion.mp (hcover (Finset.mem_sdiff.mp hv).1) exact Finset.mem_biUnion.mpr ⟨i, hi, Finset.mem_sdiff.mpr ⟨hvi, (Finset.mem_sdiff.mp hv).2⟩⟩ have hY : U.card + (Y \ U).card = Y.card := by simpa only [Finset.inter_eq_right.mpr hU] using Finset.card_inter_add_card_sdiff Y U have hWsum : whole + (∑ i, (W i \ U).card) = ∑ i, (W i).card := by dsimp [whole] rw [← Finset.sum_add_distrib] exact Finset.sum_congr rfl fun i _ => Finset.card_inter_add_card_sdiff (W i) U have hUgood := Finset.card_inter_add_card_sdiff U good constructor <;> omega theorem skipped_occurrences_bound {V : Type cycleUniverse11} {I : Type cycleUniverse12} {J : Type cycleUniverse13} [DecidableEq V] [Fintype I] [Fintype J] (W : I → Finset V) (R : J → Finset V) (good : Finset V) (L : ℕ) : (∑ i, ∑ j, if L ≤ (W i ∩ R j ∩ good).card then 0 else (W i ∩ R j ∩ good).card) ≤ L * Fintype.card I * Fintype.card J := by classical calc _ ≤ ∑ _i : I, ∑ _j : J, L := by apply Finset.sum_le_sum intro i _ apply Finset.sum_le_sum intro j _ split_ifs <;> omega _ = _ := by simp only [Finset.sum_const, Finset.card_univ, smul_eq_mul]; ring end end ErdosGallai.Indexing namespace ErdosGallai.Indexing noncomputable section open Finset SimpleGraph attribute [local instance] Classical.propDecidable lemma list_pairwise_get {A : Type cycleUniverse14} {R : A → A → Prop} {L : List A} (h : L.Pairwise R) (hs : (∀ ⦃left right⦄, R left right → R right left)) : Pairwise fun i j : Fin L.length => R (L.get i) (L.get j) := by intro i j hij rcases lt_or_gt_of_ne (show i.val ≠ j.val from fun he => hij (Fin.ext he)) with hlt | hgt · exact List.pairwise_iff_getElem.mp h i.val j.val i.isLt j.isLt hlt · exact hs (List.pairwise_iff_getElem.mp h j.val i.val j.isLt i.isLt hgt) lemma list_sum_get {A : Type cycleUniverse15} {M : Type cycleUniverse16} [AddCommMonoid M] (L : List A) (f : A → M) : (∑ i : Fin L.length, f (L.get i)) = (L.map f).sum := by rw [← List.sum_ofFn] calc _ = (List.map f (List.ofFn L.get)).sum := by rw [List.map_ofFn]; rfl _ = _ := by rw [List.ofFn_get] structure GraphBatches {V : Type} (F : SimpleGraph V) (Y : Finset V) (B T : ℝ) where Index : Type finite : Fintype Index graph : Index → SimpleGraph V vertices : Index → Finset V graph_le : ∀ i, graph i ≤ F disjoint : Pairwise fun i j => Disjoint (graph i).edgeSet (graph j).edgeSet edge_cover : (⋃ i, (graph i).edgeSet) = F.edgeSet supported : ∀ i, ∀ ⦃x y⦄, (graph i).Adj x y → x ∈ vertices i ∧ y ∈ vertices i subset : ∀ i, vertices i ⊆ Y vertex_cover : Y ⊆ univ.biUnion vertices order_le : ∀ i, ((vertices i).card:ℝ) ≤ B mass_le : (∑ i, ((vertices i).card:ℝ)) ≤ T count_le : (Fintype.card Index:ℝ) ≤ 1+2*T/B attribute [instance] GraphBatches.finite theorem materialize_batches {V I : Type} [Fintype I] (F : SimpleGraph V) (Y : Finset V) (H : I → SimpleGraph V) (U : I → Finset V) (hHH : Pairwise fun i j => Disjoint (H i).edgeSet (H j).edgeSet) (hu : (⋃ i, (H i).edgeSet) = F.edgeSet) (hU : ∀ i, ∀ ⦃x y⦄, (H i).Adj x y → x ∈ U i ∧ y ∈ U i) (hUY : ∀ i, U i ⊆ Y) (hY : Y ⊆ univ.biUnion U) (B : ℝ) (hB : 0 < B) (hsmall : ∀ i, ((U i).card:ℝ) ≤ B/2) : Nonempty (GraphBatches F Y B (∑ i, ((U i).card:ℝ))) := by classical obtain ⟨L,hLd,hLc,hLn,hLm,hLnum⟩ := indexed_batch_partition (fun i => (U i).card) univ B hB (fun i _ => hsmall i) let A := Fin L.length let bag (a : A) : Finset I := L.get a let W (a : A) := (bag a).biUnion U let J (a : A) : SimpleGraph V := ⨆ i ∈ bag a, H i have hbagd : Pairwise fun a b => Disjoint (bag a) (bag b) := list_pairwise_get hLd (fun _ _ h => h.symm) have hbagcov (i : I) : ∃ a : A, i ∈ bag a := by obtain ⟨b,hb,hi⟩ := (hLc i).mp (mem_univ _) obtain ⟨k,hk⟩ := List.mem_iff_get.mp hb exact ⟨k,by change i ∈ L.get k; rwa [hk]⟩ have hJedge (a : A) : (J a).edgeSet = ⋃ i ∈ bag a, (H i).edgeSet := by ext e induction e using Sym2.ind with | _ x y => simp [J,SimpleGraph.mem_edgeSet,SimpleGraph.iSup_adj] have hJsub (a : A) : (J a).edgeSet ⊆ F.edgeSet := by rw [hJedge,← hu] exact Set.iUnion₂_subset fun i _ => Set.subset_iUnion (fun j : I => (H j).edgeSet) i have hWweight (a : A) : ((W a).card:ℝ) ≤ batchWeight (fun i => (U i).card) (bag a) := by have hh := Finset.card_biUnion_le (s := bag a) (t := U) dsimp only [W,batchWeight] exact_mod_cast hh have hJd : Pairwise fun a b => Disjoint (J a).edgeSet (J b).edgeSet := by intro a b hab rw [hJedge,hJedge] apply Set.disjoint_left.mpr rintro e he he' obtain ⟨i,hi,he⟩ := Set.mem_iUnion₂.mp he obtain ⟨j,hj,he'⟩ := Set.mem_iUnion₂.mp he' have hij : i ≠ j := by rintro rfl; exact Finset.disjoint_left.mp (hbagd hab) hi hj exact Set.disjoint_left.mp (hHH hij) he he' refine ⟨{ Index := A finite := inferInstance graph := J vertices := W graph_le := fun a => SimpleGraph.edgeSet_subset_edgeSet.mp (hJsub a) disjoint := hJd edge_cover := ?_ supported := ?_ subset := ?_ vertex_cover := ?_ order_le := ?_ mass_le := ?_ count_le := ?_ }⟩ · apply Set.Subset.antisymm (Set.iUnion_subset hJsub) intro e he rw [← hu] at he obtain ⟨i,hi⟩ := Set.mem_iUnion.mp he obtain ⟨a,hia⟩ := hbagcov i exact Set.mem_iUnion.mpr ⟨a,by rw [hJedge]; exact Set.mem_iUnion₂.mpr ⟨i,hia,hi⟩⟩ · intro a x y hxy have he : s(x,y) ∈ (J a).edgeSet := hxy rw [hJedge] at he obtain ⟨i,hi,he⟩ := Set.mem_iUnion₂.mp he exact ⟨Finset.mem_biUnion.mpr ⟨i,hi,(hU i he).1⟩,Finset.mem_biUnion.mpr ⟨i,hi,(hU i he).2⟩⟩ · intro a v hv obtain ⟨i,_,hi⟩ := Finset.mem_biUnion.mp hv exact hUY i hi · intro v hv obtain ⟨i,_,hi⟩ := Finset.mem_biUnion.mp (hY hv) obtain ⟨a,ha⟩ := hbagcov i exact Finset.mem_biUnion.mpr ⟨a,mem_univ _,Finset.mem_biUnion.mpr ⟨i,ha,hi⟩⟩ · intro a exact (hWweight a).trans ((hLn (bag a) (L.get_mem a)).2) · calc _ ≤ ∑ a, batchWeight (fun i => (U i).card) (bag a) := Finset.sum_le_sum (fun a _ => hWweight a) _ = _ := by rw [list_sum_get,hLm]; rfl · simpa only [A,Fintype.card_fin,batchWeight] using hLnum end end ErdosGallai.Indexing namespace ErdosGallai.Indexing noncomputable section open Finset SimpleGraph attribute [local instance] Classical.propDecidable def goodVertices {V : Type} [Fintype V] (F : SimpleGraph V) (Y : Finset V) (a : ℝ) : Finset V := Y.filter fun v => (F.degree v:ℝ) ≤ a lemma bad_vertices_degree_bound {V : Type} [Fintype V] (F : SimpleGraph V) (Y : Finset V) (a : ℝ) : a * ((Y \ goodVertices F Y a).card:ℝ) ≤ 2 * (F.edgeFinset.card:ℝ) := by classical let bad := Y \ goodVertices F Y a have hbad (v) (hv : v ∈ bad) : a ≤ (F.degree v:ℝ) := by have hn := (Finset.mem_sdiff.mp hv).2 exact le_of_lt (lt_of_not_ge (fun h => hn (Finset.mem_filter.mpr ⟨(Finset.mem_sdiff.mp hv).1,h⟩))) calc _ = ∑ v ∈ bad, a := by simp [bad,mul_comm] _ ≤ ∑ v ∈ bad, (F.degree v:ℝ) := Finset.sum_le_sum hbad _ ≤ ∑ v, (F.degree v:ℝ) := Finset.sum_le_sum_of_subset_of_nonneg (Finset.subset_univ _) (by intros; positivity) _ = _ := by exact_mod_cast F.sum_degrees_eq_twice_card_edges structure ActiveFamily {V R B : Type} [Fintype V] [Fintype R] [Fintype B] (F : SimpleGraph V) (Y : Finset V) (W : B → Finset V) (U : R → Finset V) (a L : ℝ) where Index : B → Type finite : ∀ b, Fintype (Index b) vertices : ∀ b, Index b → Finset V router : ∀ b, Index b → R subset_batch : ∀ b i, vertices b i ⊆ W b subset_router : ∀ b i, vertices b i ⊆ U (router b i) disjoint : ∀ b, Pairwise fun i j => Disjoint (vertices b i) (vertices b j) degree_le : ∀ b i v, v ∈ vertices b i → (F.degree v:ℝ) ≤ a large : ∀ b i, L ≤ ((vertices b i).card:ℝ) lower : (∑ r, ((U r).card:ℝ)) - ((Y \ goodVertices F Y a).card:ℝ) - L * Fintype.card B * Fintype.card R ≤ ∑ b, ∑ i, ((vertices b i).card:ℝ) upper : (∑ b, ∑ i, ((vertices b i).card:ℝ)) + Y.card ≤ (∑ r, ((U r).card:ℝ)) + ∑ b, ((W b).card:ℝ) attribute [instance] ActiveFamily.finite theorem choose_active_family {V R B : Type} [Fintype V] [Fintype R] [Fintype B] (F : SimpleGraph V) (Y : Finset V) (W : B → Finset V) (U : R → Finset V) (a L : ℝ) (hL : 0 ≤ L) (hW : ∀ b, W b ⊆ Y) (hU : ∀ r, U r ⊆ Y) (hcov : Y ⊆ univ.biUnion W) (hUd : Pairwise fun r s => Disjoint (U r) (U s)) : Nonempty (ActiveFamily F Y W U a L) := by classical let good := goodVertices F Y a let S (b : B) (r : R) := W b ∩ U r ∩ good let keep (b : B) (r : R) := L ≤ ((S b r).card:ℝ) let I (b : B) := {r : R // keep b r} let X (b : B) (i : I b) := S b i.val have hsum (b : B) : (∑ i : I b, ((X b i).card:ℝ)) = ∑ r, if keep b r then ((S b r).card:ℝ) else 0 := by rw [← Finset.sum_filter] simpa only [Finset.subtype_univ] using (Finset.sum_subtype_eq_sum_filter (s := univ) (p := keep b) (fun r => ((S b r).card:ℝ))) have hadd := active_occurrences Y good W U hW hU hcov hUd keep dsimp only at hadd have hlow : (∑ r, ((U r).card:ℝ)) ≤ (∑ b, ∑ r, if keep b r then ((S b r).card:ℝ) else 0) + (∑ b, ∑ r, if keep b r then 0 else ((S b r).card:ℝ)) + ((Y \ good).card:ℝ) := by exact_mod_cast hadd.1 have hhigh : (∑ b, ∑ r, if keep b r then ((S b r).card:ℝ) else 0) + Y.card ≤ (∑ r, ((U r).card:ℝ)) + ∑ b, ((W b).card:ℝ) := by exact_mod_cast hadd.2 have hskip : (∑ b, ∑ r, if keep b r then 0 else ((S b r).card:ℝ)) ≤ L * Fintype.card B * Fintype.card R := by calc _ ≤ ∑ _b : B, ∑ _r : R, L := by apply Finset.sum_le_sum; intro b _ apply Finset.sum_le_sum; intro r _ split_ifs with hk · exact hL · exact le_of_lt (lt_of_not_ge hk) _ = _ := by simp; ring refine ⟨{ Index := I finite := fun _ => inferInstance vertices := X router := fun _ i => i.val subset_batch := fun _ _ => Finset.inter_subset_left.trans Finset.inter_subset_left subset_router := fun _ _ => Finset.inter_subset_left.trans Finset.inter_subset_right disjoint := ?_ degree_le := ?_ large := fun _ i => i.property lower := ?_ upper := ?_ }⟩ · intro b i j hij exact (hUd (fun h => hij (Subtype.ext h))).mono (Finset.inter_subset_left.trans Finset.inter_subset_right) (Finset.inter_subset_left.trans Finset.inter_subset_right) · intro b i v hv exact (Finset.mem_filter.mp (Finset.mem_inter.mp hv).2).2 · simp_rw [hsum] dsimp only [good] at hlow hskip linarith · simpa only [hsum] using hhigh lemma thirds_le_halves {k : ℕ} (hk : 8 ≤ k) : (k:ℝ)/3 ≤ (k/2:ℕ) := by have h : k ≤ 3*(k/2) := by omega have h' : (k:ℝ) ≤ 3*(k/2:ℕ) := by exact_mod_cast h linarith end end ErdosGallai.Indexing end end end end OAI