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import OAI.Combinatorics.CycleDecomposition.Pairing
namespace OAI
universe cycleUniverse1 cycleUniverse2 cycleUniverse3 cycleUniverse4 cycleUniverse5 cycleUniverse6 cycleUniverse7 cycleUniverse8 cycleUniverse9 cycleUniverse10 cycleUniverse11 cycleUniverse12 cycleUniverse13 cycleUniverse14 cycleUniverse15 cycleUniverse16 cycleUniverse17 cycleUniverse18 cycleUniverse19 cycleUniverse20 cycleUniverse21 cycleUniverse22 cycleUniverse23 cycleUniverse24 cycleUniverse25 cycleUniverse26 cycleUniverse27 cycleUniverse28 cycleUniverse29 cycleUniverse30 cycleUniverse31
section
open Filter Asymptotics Real
open scoped Topology
noncomputable section
open MeasureTheory ProbabilityTheory Finset
section
namespace ErdosGallai.Batch
open Finset
noncomputable section
attribute [local instance] Classical.propDecidable
variable {V : Type cycleUniverse1} [Fintype V] (G : SimpleGraph V)
def neighborsIn (X : Finset V) (v : V) : ℕ :=
(X.filter (G.Adj v)).card
def internalGraph (X : Finset V) : SimpleGraph V where
Adj u v := G.Adj u v ∧ u ∈ X ∧ v ∈ X
symm := ⟨fun _ _ h => ⟨h.1.symm,h.2.2,h.2.1⟩⟩
loopless := ⟨fun _ h => G.irrefl h.1⟩
lemma neighborsIn_le_degree (X : Finset V) (v : V) :
neighborsIn G X v ≤ G.degree v := by
classical
rw [← G.card_neighborFinset_eq_degree]
apply Finset.card_le_card
intro x hx
exact (G.mem_neighborFinset v x).mpr (Finset.mem_filter.mp hx).2
lemma neighborsIn_eq_sum {V : Type cycleUniverse2} [_contextInstance1 : Fintype V] (G : SimpleGraph V) (X : Finset V) (v : V) :
neighborsIn G X v = ∑ x ∈ X, if G.Adj v x then 1 else 0 := by
classical
simp only [neighborsIn,Finset.card_eq_sum_ones,Finset.sum_filter]
lemma sum_incidence_to_set (X : Finset V) :
∑ v, neighborsIn G X v = ∑ x ∈ X, G.degree x := by
classical
simp_rw [neighborsIn_eq_sum]
rw [Finset.sum_comm]
apply Finset.sum_congr rfl
intro x hx
simp_rw [G.adj_comm (v:=x)]
rw [← Finset.sum_filter]
have he : Finset.univ.filter (G.Adj x) = G.neighborFinset x := by
ext y
simp
simp [he]
lemma internalGraph_degree (X : Finset V) (v : V) :
(internalGraph G X).degree v = if v ∈ X then neighborsIn G X v else 0 := by
classical
rw [← SimpleGraph.card_neighborFinset_eq_degree]
by_cases hv : v ∈ X
· simp only [hv,ite_true]
congr 1
ext x
rw [SimpleGraph.mem_neighborFinset,Finset.mem_filter]
change (G.Adj v x ∧ v ∈ X ∧ x ∈ X) ↔ _
tauto
· have he : (internalGraph G X).neighborFinset v = ∅ := by
ext x
simp only [SimpleGraph.mem_neighborFinset,Finset.notMem_empty]
change (G.Adj v x ∧ v ∈ X ∧ x ∈ X) ↔ False
tauto
simp [he,hv]
lemma internalGraph_degree_sum (X : Finset V) :
2 * (internalGraph G X).edgeFinset.card = ∑ x ∈ X, neighborsIn G X x := by
classical
rw [← SimpleGraph.sum_degrees_eq_twice_card_edges]
simp_rw [internalGraph_degree]
simp
lemma internal_edge_bound (X : Finset V) (a : ℝ)
(ha : ∀ x ∈ X, (G.degree x : ℝ) ≤ a) :
2 * ((internalGraph G X).edgeFinset.card : ℝ) ≤ a * X.card := by
have hid := congrArg (fun n : ℕ => (n:ℝ)) (internalGraph_degree_sum G X)
push_cast at hid
rw [hid]
calc
_ ≤ ∑ x ∈ X, a := Finset.sum_le_sum fun x hx =>
(Nat.cast_le.mpr (neighborsIn_le_degree G X x)).trans (ha x hx)
_ = _ := by simp [mul_comm]
lemma incidence_bound (X : Finset V) (a : ℝ)
(ha : ∀ x ∈ X, (G.degree x : ℝ) ≤ a) :
(∑ v, neighborsIn G X v : ℝ) ≤ a * X.card := by
have hid := congrArg (fun n : ℕ => (n:ℝ)) (sum_incidence_to_set G X)
push_cast at hid
rw [hid]
simpa [mul_comm] using Finset.sum_le_sum (s:=X) (fun x hx => ha x hx)
lemma wedge_count_bound (X : Finset V) (a : ℝ) (ha : 1 ≤ a)
(hdegree : ∀ x ∈ X, (G.degree x : ℝ) ≤ a)
(hneighbor : ∀ v, (neighborsIn G X v : ℝ) ≤ a) :
((∑ v, (neighborsIn G X v).choose 2 : ℕ) : ℝ) ≤
a*(a-1)*X.card/2 := by
have hb (v : V) : ((neighborsIn G X v).choose 2 : ℝ) ≤
(a-1)*(neighborsIn G X v)/2 := by
rw [Nat.cast_choose_two]
have hn : (0:ℝ) ≤ neighborsIn G X v := Nat.cast_nonneg _
have hn' := hneighbor v
nlinarith
calc
_ = ∑ v, ((neighborsIn G X v).choose 2 : ℝ) := by push_cast; rfl
_ ≤ ∑ v, (a-1)*(neighborsIn G X v)/2 := Finset.sum_le_sum fun v _ => hb v
_ = (a-1)/2 * ∑ v, (neighborsIn G X v : ℝ) := by
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro v hv
ring
_ ≤ (a-1)/2 * (a*X.card) := mul_le_mul_of_nonneg_left
(incidence_bound G X a hdegree) (by positivity)
_ = _ := by ring
def betweenCount (X Y : Finset V) : ℕ := ∑ x ∈ X, neighborsIn G Y x
lemma betweenCount_comm (X Y : Finset V) :
betweenCount G X Y = betweenCount G Y X := by
classical
simp only [betweenCount,neighborsIn_eq_sum]
rw [Finset.sum_comm]
apply Finset.sum_congr rfl
intro y hy
apply Finset.sum_congr rfl
intro x hx
simp only [G.adj_comm]
lemma betweenCount_bound (X Y : Finset V) (a : ℝ)
(hdegree : ∀ y ∈ Y, (G.degree y : ℝ) ≤ a) :
(betweenCount G X Y : ℝ) ≤ a*Y.card := by
rw [betweenCount_comm]
simp only [betweenCount,Nat.cast_sum]
calc
_ ≤ ∑ y ∈ Y, a := Finset.sum_le_sum fun y hy =>
(Nat.cast_le.mpr (neighborsIn_le_degree G X y)).trans (hdegree y hy)
_ = _ := by simp [mul_comm]
lemma disjoint_neighbor_sum_le {I : Type cycleUniverse3} [Fintype I] (X : I → Finset V)
(hd : Pairwise (fun i j => Disjoint (X i) (X j))) (v : V) :
∑ i, neighborsIn G (X i) v ≤ G.degree v := by
classical
have hb : ((Finset.univ : Finset I) : Set I).PairwiseDisjoint
(fun i => (X i).filter (G.Adj v)) := by
intro i hi j hj hij
exact (hd hij).mono (Finset.filter_subset _ _) (Finset.filter_subset _ _)
simp only [neighborsIn]
rw [← Finset.card_biUnion hb,← G.card_neighborFinset_eq_degree]
apply Finset.card_le_card
intro x hx
obtain ⟨i,hi,hx⟩ := Finset.mem_biUnion.mp hx
exact (G.mem_neighborFinset v x).mpr (Finset.mem_filter.mp hx).2
lemma betweenCount_row_bound {I : Type cycleUniverse4} [Fintype I] (X : I → Finset V)
(hd : Pairwise (fun i j => Disjoint (X i) (X j))) (i : I) (a : ℝ)
(hdegree : ∀ x ∈ X i, (G.degree x : ℝ) ≤ a) :
(∑ j, betweenCount G (X i) (X j) : ℝ) ≤ a*(X i).card := by
simp only [betweenCount,Nat.cast_sum]
rw [Finset.sum_comm]
calc
_ ≤ ∑ x ∈ X i, a := by
apply Finset.sum_le_sum
intro x hx
have hn := disjoint_neighbor_sum_le G X hd x
have hn' : (∑ j, (neighborsIn G (X j) x : ℝ)) ≤ G.degree x := by
exact_mod_cast hn
exact hn'.trans (hdegree x hx)
_ = _ := by simp [mul_comm]
lemma cross_error_row {I : Type cycleUniverse5} [Fintype I] (X : I → Finset V)
(hd : Pairwise (fun i j => Disjoint (X i) (X j))) (a : ℝ) (ha : 0 ≤ a)
(hsize : ∀ i, 0 < (X i).card)
(hdegree : ∀ i x, x ∈ X i → (G.degree x : ℝ) ≤ a) (i : I) :
(∑ j, ((betweenCount G (X i) (X j) : ℝ)^2 /
((X i).card*(X j).card))) ≤ a^2 := by
have hmi : (0:ℝ) < (X i).card := by exact_mod_cast hsize i
calc
_ ≤ ∑ j, a/(X i).card * (betweenCount G (X i) (X j) : ℝ) := by
apply Finset.sum_le_sum
intro j hj
have hmj : (0:ℝ) < (X j).card := by exact_mod_cast hsize j
have he := betweenCount_bound G (X i) (X j) a (hdegree j)
have hn : (0:ℝ) ≤ betweenCount G (X i) (X j) := Nat.cast_nonneg _
apply (div_le_iff₀ (mul_pos hmi hmj)).mpr
field_simp
nlinarith
_ = a/(X i).card * ∑ j, (betweenCount G (X i) (X j) : ℝ) := by
rw [Finset.mul_sum]
_ ≤ a/(X i).card * (a*(X i).card) := mul_le_mul_of_nonneg_left
(betweenCount_row_bound G X hd i a (hdegree i)) (by positivity)
_ = a^2 := by field_simp
end
end ErdosGallai.Batch
namespace ErdosGallai.Batch
open Finset
noncomputable section
def CollisionPairs {α : Type cycleUniverse6} {β : Type cycleUniverse7} [DecidableEq α] [DecidableEq β] (f : α → β) (s : Finset α) : Finset (Finset α) := by
classical
exact (s.powersetCard 2).filter (fun p => (p.image f).card = 1)
lemma mem_collisionPairs {α : Type cycleUniverse8} {β : Type cycleUniverse9} [DecidableEq α] [DecidableEq β] (f : α → β) (s : Finset α) (p : Finset α) :
p ∈ CollisionPairs f s ↔ p ⊆ s ∧ p.card = 2 ∧ (p.image f).card = 1 := by
classical
simp [CollisionPairs,and_assoc]
lemma collisionPairs_mono {α : Type cycleUniverse10} {β : Type cycleUniverse11} [DecidableEq α] [DecidableEq β] (f : α → β) {s t : Finset α} (h : s ⊆ t) :
CollisionPairs f s ⊆ CollisionPairs f t := by
classical
intro p hp
rw [mem_collisionPairs] at hp ⊢
exact ⟨hp.1.trans h,hp.2⟩
lemma pair_mem_collisionPairs {α : Type cycleUniverse12} {β : Type cycleUniverse13} [DecidableEq α] [DecidableEq β] (f : α → β) (s : Finset α)
{a b : α} (ha : a ∈ s) (hb : b ∈ s) (hne : a ≠ b) (heq : f a = f b) :
{a,b} ∈ CollisionPairs f s := by
classical
rw [mem_collisionPairs]
refine ⟨?_,by simp [hne],by simp [heq]⟩
intro x hx
rcases Finset.mem_insert.mp hx with rfl | hx
· exact ha
· exact Finset.mem_singleton.mp hx ▸ hb
theorem prune_collisions {α : Type cycleUniverse14} {β : Type cycleUniverse15} [DecidableEq α] [DecidableEq β] (f : α → β) (s : Finset α) :
∃ t ⊆ s, Set.InjOn f (t : Set α) ∧ t.image f = s.image f ∧
s.card - t.card ≤ (CollisionPairs f s).card := by
classical
refine Finset.strongInductionOn s ?_
intro s ih
by_cases hinj : Set.InjOn f (s : Set α)
· exact ⟨s,Subset.rfl,hinj,rfl,by simp⟩
simp only [Set.InjOn,Finset.mem_coe,not_forall] at hinj
obtain ⟨a,ha,b,hb,heq,hne⟩ := hinj
have hsub : s.erase a ⊂ s := Finset.erase_ssubset ha
obtain ⟨t,ht,hinj,himage,hcost⟩ := ih (s.erase a) hsub
have hpair := pair_mem_collisionPairs f s ha hb hne heq
have hnot : ({a,b}:Finset α) ∉ CollisionPairs f (s.erase a) := by
intro hp
have hh := (mem_collisionPairs f _ _).mp hp
have := hh.1 (show a ∈ ({a,b}:Finset α) by simp)
simp at this
have hlt : (CollisionPairs f (s.erase a)).card < (CollisionPairs f s).card := by
apply Finset.card_lt_card
exact Finset.ssubset_iff_subset_ne.mpr ⟨collisionPairs_mono f (Finset.erase_subset _ _),
fun he => hnot (he ▸ hpair)⟩
have himage' : (s.erase a).image f = s.image f := by
apply le_antisymm
· exact Finset.image_subset_image (Finset.erase_subset _ _)
· intro y hy
obtain ⟨x,hx,rfl⟩ := Finset.mem_image.mp hy
by_cases hxa : x = a
· subst x
exact Finset.mem_image.mpr ⟨b,by simp [hb,Ne.symm hne],heq.symm⟩
· exact Finset.mem_image.mpr ⟨x,by simp [hx,hxa],rfl⟩
refine ⟨t,ht.trans (Finset.erase_subset _ _),hinj,himage.trans himage',?_⟩
have hcard := Finset.card_erase_of_mem ha
have htt := Finset.card_le_card ht
omega
theorem prune_bad_images {α : Type cycleUniverse16} {β : Type cycleUniverse17} [DecidableEq α] [DecidableEq β] (f : α → β) (s : Finset α) (bad : β → Prop) [DecidablePred bad] :
∃ t ⊆ s, (∀ x ∈ t, ¬ bad (f x)) ∧ Set.InjOn f (t : Set α) ∧
t.image f = (s.filter (fun x => ¬bad (f x))).image f ∧
s.card-t.card ≤ (s.filter (fun x => bad (f x))).card +
(CollisionPairs f (s.filter (fun x => ¬bad (f x)))).card := by
classical
obtain ⟨t,ht,hinj,himage,hcost⟩ := prune_collisions f (s.filter (fun x => ¬bad (f x)))
refine ⟨t,ht.trans (Finset.filter_subset _ _),?_,hinj,himage,?_⟩
· intro x hx
exact (Finset.mem_filter.mp (ht hx)).2
· have hpart := Finset.card_filter_add_card_filter_not (s:=s) (p:=fun x => bad (f x))
have hle := Finset.card_le_card ht
omega
end
end ErdosGallai.Batch
namespace ErdosGallai.Batch
open Finset
noncomputable section
attribute [local instance] Classical.propDecidable
def quotientDefect {V : Type cycleUniverse18} {W : Type cycleUniverse19} [Fintype V] (G : SimpleGraph V) (projMap : V → W) : ℕ := by
classical
let s := G.edgeFinset
exact (s.filter (fun e => (Sym2.map projMap e).IsDiag)).card +
(CollisionPairs (Sym2.map projMap) (s.filter (fun e => ¬(Sym2.map projMap e).IsDiag))).card
theorem simple_quotient_representatives {V : Type cycleUniverse20} {W : Type cycleUniverse21} [Fintype V]
(G : SimpleGraph V) (projMap : V → W) :
∃ (retained : Finset (Sym2 V)) (Q : SimpleGraph W),
retained ⊆ G.edgeFinset ∧
(G.edgeFinset \ retained).card ≤ quotientDefect G projMap ∧
Q.edgeSet = ((retained.image (Sym2.map projMap) : Finset (Sym2 W)) : Set (Sym2 W)) ∧
(∀ e ∈ Q.edgeSet, ∃! f, f ∈ retained ∧ Sym2.map projMap f = e) := by
classical
obtain ⟨t,ht,hgood,hinj,himage,hcost⟩ :=
prune_bad_images (Sym2.map projMap) G.edgeFinset Sym2.IsDiag
let Q : SimpleGraph W := SimpleGraph.fromEdgeSet (t.image (Sym2.map projMap) : Set (Sym2 W))
have hQ : Q.edgeSet = (t.image (Sym2.map projMap) : Set (Sym2 W)) := by
rw [SimpleGraph.edgeSet_fromEdgeSet]
ext e
constructor
· exact fun h => h.1
· intro he
refine ⟨he,?_⟩
obtain ⟨f,hf,rfl⟩ := Finset.mem_image.mp he
exact hgood f hf
refine ⟨t,Q,ht,?_,hQ,?_⟩
· rw [Finset.card_sdiff_of_subset ht]
exact hcost
· intro e he
rw [hQ] at he
obtain ⟨f,hf,hfe⟩ := Finset.mem_image.mp he
refine ⟨f,⟨hf,hfe⟩,?_⟩
intro g hg
exact hinj hg.1 hf (hg.2.trans hfe.symm)
end
end ErdosGallai.Batch
namespace ErdosGallai.Batch
open Finset
noncomputable section
attribute [local instance] Classical.propDecidable
variable {V : Type cycleUniverse22} {I : Type cycleUniverse23} [Fintype V] [Fintype I] (X : I → Finset V)
(hd : Pairwise (fun i j => Disjoint (X i) (X j)))
lemma familyPaired_symm {V : Type cycleUniverse24} {I : Type cycleUniverse25} [_contextInstance2 : Fintype V] [_contextInstance3 : Fintype I] (X : I → Finset V) (p : ∀ i, PairingSpace (X i)) {u v : V}
(h : familyPaired X p u v) : familyPaired X p v u := by
obtain ⟨i,hu,hv,hp⟩ := h
exact ⟨i,hv,hu,paired_symm (p i) hp⟩
lemma familyPaired_local {V : Type cycleUniverse26} {I : Type cycleUniverse27} [_contextInstance2 : Fintype V] [_contextInstance3 : Fintype I] (X : I → Finset V) (hd : Pairwise fun i j => Disjoint (X i) (X j)) (p : ∀ i, PairingSpace (X i)) (i : I)
(u v : X i) : familyPaired X p u v ↔ paired (p i) u v := by
constructor
· rintro ⟨j,hu,hv,hp⟩
have hij : i = j := by
by_contra hij
exact Finset.disjoint_left.mp (hd hij) u.property hu
subst j
exact hp
· intro hp
exact ⟨i,u.property,v.property,hp⟩
lemma familyPaired_same_set {V : Type cycleUniverse28} {I : Type cycleUniverse29} [_contextInstance2 : Fintype V] [_contextInstance3 : Fintype I] (X : I → Finset V) (hd : Pairwise fun i j => Disjoint (X i) (X j)) (p : ∀ i, PairingSpace (X i)) (i : I)
{u v : V} (hu : u ∈ X i) (hp : familyPaired X p u v) : v ∈ X i := by
obtain ⟨j,hu',hv,hp⟩ := hp
have hij : i = j := by
by_contra hij
exact Finset.disjoint_left.mp (hd hij) hu hu'
exact hij.symm ▸ hv
def vertexPairEvent (p : ∀ i, PairingSpace (X i)) (s : Finset V) : Prop :=
∃ u ∈ s, ∃ v ∈ s, u ≠ v ∧ familyPaired X p u v
lemma vertexPairEvent_pair (p : ∀ i, PairingSpace (X i)) (u v : V) (huv : u ≠ v) :
vertexPairEvent X p {u,v} ↔ familyPaired X p u v := by
constructor
· rintro ⟨a,ha,b,hb,hab,hp⟩
simp only [Finset.mem_insert,Finset.mem_singleton] at ha hb
rcases ha with rfl | rfl <;> rcases hb with rfl | rfl
· exact False.elim (hab rfl)
· exact hp
· exact familyPaired_symm X p hp
· exact False.elim (hab rfl)
· intro hp
exact ⟨u,by simp,v,by simp,huv,hp⟩
lemma finiteAverage_filter_card {Ω : Type cycleUniverse30} {A : Type cycleUniverse31} [Fintype Ω]
(s : Finset A) (P : Ω → A → Prop) :
finiteAverage (fun ω => ((s.filter (P ω)).card : ℝ)) =
∑ a ∈ s, finiteAverage (fun ω => if P ω a then 1 else 0) := by
have hf (ω : Ω) : ((s.filter (P ω)).card : ℝ) =
∑ a ∈ s, if P ω a then 1 else 0 := by
rw [Finset.card_eq_sum_ones, Nat.cast_sum]
simp only [Nat.cast_one,Finset.sum_filter]
simp_rw [hf]
exact finiteAverage_sum s _
include hd in
lemma vertexPairEvent_average (i : I) (s : Finset V)
(hs : s ⊆ X i) (hc : s.card = 2) (hm : 2 ≤ (X i).card) :
finiteAverage (fun p : ∀ j, PairingSpace (X j) =>
if vertexPairEvent X p s then 1 else 0) ≤ 1 / ((X i).card-1:ℝ) := by
classical
obtain ⟨u,v,huv,rfl⟩ := Finset.card_eq_two.mp hc
have hu := hs (show u ∈ ({u,v}:Finset V) by simp)
have hv := hs (show v ∈ ({u,v}:Finset V) by simp)
have he (p : ∀ j, PairingSpace (X j)) :
vertexPairEvent X p {u,v} ↔ paired (p i) ⟨u,hu⟩ ⟨v,hv⟩ :=
(vertexPairEvent_pair X p u v huv).trans (familyPaired_local X hd p i ⟨u,hu⟩ ⟨v,hv⟩)
simp_rw [he]
rw [finiteAverage_pi_eval (Ω:=fun j => PairingSpace (X j)) i
(fun p => if paired p ⟨u,hu⟩ ⟨v,hv⟩ then 1 else 0)]
convert paired_first_bound (V:=(X i)) (by simpa using hm) ⟨u,hu⟩ ⟨v,hv⟩
(fun h => huv (congrArg Subtype.val h)) using 1 ; simp
def wedgeErrors (G : SimpleGraph V) (p : ∀ i, PairingSpace (X i)) (i : I) (v : V) :=
(((X i).filter (G.Adj v)).powersetCard 2).filter (vertexPairEvent X p)
include hd in
lemma wedgeErrors_average (G : SimpleGraph V) (i : I) (v : V)
(hm : 2 ≤ (X i).card) :
finiteAverage (fun p : ∀ j, PairingSpace (X j) => ((wedgeErrors X G p i v).card : ℝ)) ≤
((neighborsIn G (X i) v).choose 2 : ℝ) / ((X i).card-1:ℝ) := by
classical
change finiteAverage (fun p => (((((X i).filter (G.Adj v)).powersetCard 2).filter
(vertexPairEvent X p)).card : ℝ)) ≤ _
rw [finiteAverage_filter_card]
calc
_ ≤ ∑ _s ∈ ((X i).filter (G.Adj v)).powersetCard 2,
1 / ((X i).card-1:ℝ) := by
apply Finset.sum_le_sum
intro s hs
obtain ⟨hs,hc⟩ := Finset.mem_powersetCard.mp hs
exact vertexPairEvent_average X hd i s (hs.trans (Finset.filter_subset _ _)) hc hm
_ = _ := by simp [Finset.card_powersetCard,neighborsIn,div_eq_mul_inv]
lemma mem_internalGraph {G : SimpleGraph V} {S : Finset V} {u v : V} :
s(u,v) ∈ (internalGraph G S).edgeFinset ↔ G.Adj u v ∧ u ∈ S ∧ v ∈ S := by
simp only [SimpleGraph.mem_edgeFinset,SimpleGraph.mem_edgeSet]
rfl
def crossGraph (G : SimpleGraph V) (S T : Finset V) : SimpleGraph V where
Adj u v := G.Adj u v ∧ ((u ∈ S ∧ v ∈ T) ∨ (u ∈ T ∧ v ∈ S))
symm := ⟨fun _ _ h => ⟨h.1.symm,h.2.elim (fun h => Or.inr ⟨h.2,h.1⟩)
(fun h => Or.inl ⟨h.2,h.1⟩)⟩⟩
loopless := ⟨fun _ h => G.irrefl h.1⟩
lemma distinct_edge_cases (G : SimpleGraph V) {e f : Sym2 V}
(he : e ∈ G.edgeFinset) (hf : f ∈ G.edgeFinset) (hef : e ≠ f) :
(∃ v u w, v ≠ u ∧ v ≠ w ∧ u ≠ w ∧ e = s(v,u) ∧ f = s(v,w)) ∨
(∃ u v x y, u ≠ v ∧ x ≠ y ∧ u ≠ x ∧ u ≠ y ∧ v ≠ x ∧ v ≠ y ∧
e = s(u,v) ∧ f = s(x,y)) := by
obtain ⟨a,b⟩ := e
obtain ⟨c,d⟩ := f
have hab : a ≠ b := (SimpleGraph.mem_edgeFinset.mp he).ne
have hcd : c ≠ d := (SimpleGraph.mem_edgeFinset.mp hf).ne
by_cases hac : a = c
· subst c
refine Or.inl ⟨a,b,d,hab,hcd,?_,rfl,rfl⟩
intro hbd
exact hef (hbd ▸ rfl)
by_cases had : a = d
· subst d
refine Or.inl ⟨a,b,c,hab,hcd.symm,?_,rfl,Sym2.eq_swap⟩
intro hbc
subst c
exact hef Sym2.eq_swap
by_cases hbc : b = c
· subst c
refine Or.inl ⟨b,a,d,hab.symm,hcd,?_,Sym2.eq_swap,rfl⟩
intro had
subst d
exact hef Sym2.eq_swap
by_cases hbd : b = d
· subst d
refine Or.inl ⟨b,a,c,hab.symm,hcd.symm,?_,Sym2.eq_swap,Sym2.eq_swap⟩
intro hac
subst c
exact hef rfl
exact Or.inr ⟨a,b,c,d,hab,hcd,hac,had,hbc,hbd,rfl,rfl⟩
lemma internal_collision_average (i : I) (hm : 4 ≤ (X i).card)
(u v x y : X i) (huv : u ≠ v) (hux : u ≠ x) (huy : u ≠ y)
(hvx : v ≠ x) (hvy : v ≠ y) (hxy : x ≠ y) :
finiteAverage (fun p : ∀ j, PairingSpace (X j) =>
if Sym2.map (familyProject X hd p) s((u:V),(v:V)) =
Sym2.map (familyProject X hd p) s((x:V),(y:V)) then 1 else 0) ≤
2 / (((X i).card-1:ℝ)*((X i).card-3:ℝ)) := by
classical
have hmono : finiteAverage (fun p : ∀ j, PairingSpace (X j) =>
if Sym2.map (familyProject X hd p) s((u:V),(v:V)) =
Sym2.map (familyProject X hd p) s((x:V),(y:V)) then 1 else 0) ≤
finiteAverage (fun p : ∀ j, PairingSpace (X j) =>
if (paired (p i) u x ∧ paired (p i) v y) ∨
(paired (p i) u y ∧ paired (p i) v x) then 1 else 0) := by
apply finiteAverage_mono
intro p
by_cases hc : Sym2.map (familyProject X hd p) s((u:V),(v:V)) =
Sym2.map (familyProject X hd p) s((x:V),(y:V))
· have hh := four_endpoint_collision X hd p (fun h => hux (Subtype.ext h))
(fun h => huy (Subtype.ext h)) (fun h => hvx (Subtype.ext h))
(fun h => hvy (Subtype.ext h)) hc
have he : (paired (p i) u x ∧ paired (p i) v y) ∨
(paired (p i) u y ∧ paired (p i) v x) := by
simpa only [familyPaired_local X hd p i] using hh
simp only [ite_eq_left hc,ite_eq_left he,le_refl]
· rw [ite_eq_right hc]
split_ifs <;> norm_num
apply hmono.trans
rw [finiteAverage_pi_eval (Ω:=fun j => PairingSpace (X j)) i
(fun p => if (paired p u x ∧ paired p v y) ∨ (paired p u y ∧ paired p v x)
then 1 else 0)]
simpa only [Fintype.card_coe] using pairing_patterns_internal
(V:=(X i)) (by simpa using hm) u v x y huv hux huy hvx hvy hxy
lemma cross_collision_average (i j : I) (hij : i ≠ j)
(hi : 2 ≤ (X i).card) (hj : 2 ≤ (X j).card)
(u x : X i) (v y : X j) (hux : u ≠ x) (hvy : v ≠ y) :
finiteAverage (fun p : ∀ k, PairingSpace (X k) =>
if Sym2.map (familyProject X hd p) s((u:V),(v:V)) =
Sym2.map (familyProject X hd p) s((x:V),(y:V)) then 1 else 0) ≤
1 / (((X i).card-1:ℝ)*((X j).card-1:ℝ)) := by
classical
have huy : (u:V) ≠ y := by
intro h
exact Finset.disjoint_left.mp (hd hij) u.property (h ▸ y.property)
have hvx : (v:V) ≠ x := by
intro h
exact Finset.disjoint_left.mp (hd hij) (h ▸ x.property) v.property
have hmono : finiteAverage (fun p : ∀ k, PairingSpace (X k) =>
if Sym2.map (familyProject X hd p) s((u:V),(v:V)) =
Sym2.map (familyProject X hd p) s((x:V),(y:V)) then 1 else 0) ≤
finiteAverage (fun p : ∀ k, PairingSpace (X k) =>
if paired (p i) u x ∧ paired (p j) v y then 1 else 0) := by
apply finiteAverage_mono
intro p
by_cases hc : Sym2.map (familyProject X hd p) s((u:V),(v:V)) =
Sym2.map (familyProject X hd p) s((x:V),(y:V))
· have hh := four_endpoint_collision X hd p (fun h => hux (Subtype.ext h))
huy hvx (fun h => hvy (Subtype.ext h)) hc
have he : paired (p i) u x ∧ paired (p j) v y := by
rcases hh with hh | hh
· exact ⟨(familyPaired_local X hd p i u x).mp hh.1,
(familyPaired_local X hd p j v y).mp hh.2⟩
· have hy := familyPaired_same_set X hd p i u.property hh.1
exact False.elim (Finset.disjoint_left.mp (hd hij) hy y.property)
simp only [ite_eq_left hc,ite_eq_left he,le_refl]
· rw [ite_eq_right hc]
split_ifs <;> norm_num
apply hmono.trans
simpa only [Fintype.card_coe] using pairing_patterns_cross_bound
(V:=fun k => X k) i j hij (by simpa using hi) (by simpa using hj) u x hux v y hvy
end
end ErdosGallai.Batch
end
end
end
end OAI