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Add lean source and binary files (part 46)
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import OAI.Combinatorics.ListHadwiger.Routing
namespace OAI
namespace LinearListHadwiger
open SimpleGraph PathPacking
namespace MinorModel
variable {V W : Type} {G : SimpleGraph V} {H : SimpleGraph W}
def expand (M : MinorModel G H) (S : Set W) : Set V :=
{v | ∃ w ∈ S, v ∈ M.branch w}
lemma branch_subset_expand (M : MinorModel G H) {S : Set W} {w : W} (hw : w ∈ S) :
M.branch w ⊆ M.expand S := fun _ hv => ⟨w, hw, hv⟩
lemma expand_connected (M : MinorModel G H) {S : Set W}
(hS : (H.induce S).Connected) : (G.induce (M.expand S)).Connected := by
have hsame (w : S) (a b : M.branch w.val) :
(G.induce (M.expand S)).Reachable
⟨a.val, M.branch_subset_expand w.property a.property⟩
⟨b.val, M.branch_subset_expand w.property b.property⟩ :=
((M.connected w.val).preconnected a b).map
(G.induceHomOfLE (M.branch_subset_expand w.property)).toHom
have hwalk : ∀ {u v : S} (p : (H.induce S).Walk u v)
(a : M.branch u.val) (b : M.branch v.val),
(G.induce (M.expand S)).Reachable
⟨a.val, M.branch_subset_expand u.property a.property⟩
⟨b.val, M.branch_subset_expand v.property b.property⟩ := by
intro u v p
induction p with
| nil => exact hsame _
| @cons u v z hadj p ih =>
intro a b
obtain ⟨x, hx, y, hy, hxy⟩ := M.adjacent hadj
have hxy' : (G.induce (M.expand S)).Adj
⟨x, M.branch_subset_expand u.property hx⟩
⟨y, M.branch_subset_expand v.property hy⟩ := hxy
exact (hsame u a ⟨x, hx⟩).trans (hxy'.reachable.trans (ih ⟨y, hy⟩ b))
refine { preconnected := ?_, nonempty := ?_ }
· intro a b
obtain ⟨u, hu, hau⟩ := a.property
obtain ⟨v, hv, hbv⟩ := b.property
obtain ⟨p⟩ := hS.preconnected ⟨u, hu⟩ ⟨v, hv⟩
exact hwalk p ⟨a.val, hau⟩ ⟨b.val, hbv⟩
· obtain ⟨w⟩ := hS.nonempty
obtain ⟨v⟩ := (M.connected w.val).nonempty
exact ⟨⟨v.val, M.branch_subset_expand w.property v.property⟩⟩
lemma expand_disjoint (M : MinorModel G H) {S T : Set W} (hST : Disjoint S T) :
Disjoint (M.expand S) (M.expand T) := by
apply Set.disjoint_left.mpr
rintro v ⟨a, ha, hva⟩ ⟨b, hb, hvb⟩
by_cases hab : a = b
· exact Set.disjoint_left.mp hST ha (hab ▸ hb)
· exact Set.disjoint_left.mp (M.disjoint a b hab) hva hvb
theorem lift_clique (M : MinorModel G H) {t : ℕ} (h : HasCliqueMinor H t) :
HasCliqueMinor G t := by
obtain ⟨B, hc, hd, he⟩ := h
refine ⟨fun i => M.expand (B i), fun i => M.expand_connected (hc i),
fun i j hij => M.expand_disjoint (hd i j hij), ?_⟩
intro i j hij
obtain ⟨a, ha, b, hb, hab⟩ := he i j hij
obtain ⟨x, hx, y, hy, hxy⟩ := M.adjacent hab
exact ⟨x, ⟨a, ha, hx⟩, y, ⟨b, hb, hy⟩, hxy⟩
theorem hadwiger_le [Fintype V] [Fintype W] (M : MinorModel G H) :
hadwigerNumber H ≤ hadwigerNumber G :=
cliqueMinor_le_hadwigerNumber (M.lift_clique (hasCliqueMinor_hadwigerNumber H))
end MinorModel
structure BagRouting {V I J : Type} (G : SimpleGraph V) (s : I → V)
(B : J → Set V) where
paths : ∀ i, Σ v, G.Path (s i) v
bag : I → J
bag_injective : Function.Injective bag
endpoint_mem : ∀ i, (paths i).1 ∈ B (bag i)
overlap : ∀ i j, i ≠ j → ∀ v,
v ∈ (paths i).2.val.support → v ∈ (paths j).2.val.support →
v = s i ∧ v = s j
namespace BagRouting
variable {V I J : Type} {G : SimpleGraph V} {s : I → V} {B : J → Set V}
noncomputable def totalLength [Fintype I] (D : BagRouting G s B) : ℕ :=
∑ i, (D.paths i).2.val.length
noncomputable def truncate [DecidableEq V] [DecidableEq I]
(D : BagRouting G s B) (i : I) (j : J) (hj : j ∉ Set.range D.bag)
(v : V) (hv : v ∈ (D.paths i).2.val.support) (hB : v ∈ B j) :
BagRouting G s B := by
classical
let p : G.Path (s i) v :=
⟨(D.paths i).2.val.takeUntil v hv, (D.paths i).2.property.takeUntil hv⟩
let paths : ∀ a, Σ w, G.Path (s a) w :=
fun a => if h : a = i then h.symm ▸ (⟨v, p⟩ : Σ w, G.Path (s i) w) else D.paths a
let f : I → J := Function.update D.bag i j
refine ⟨paths, f, ?_, ?_, ?_⟩
· intro a b hab
by_cases ha : a = i <;> by_cases hb : b = i
· exact ha.trans hb.symm
· subst a
have h : j = D.bag b := by simpa [f, Function.update, hb] using hab
exact (hj ⟨b, h.symm⟩).elim
· subst b
have h : D.bag a = j := by simpa [f, Function.update, ha] using hab
exact (hj ⟨a, h⟩).elim
· exact D.bag_injective (by simpa [f, Function.update, ha, hb] using hab)
· intro a
by_cases ha : a = i
· subst a; simpa [paths, f, p] using hB
· simpa [paths, f, ha] using D.endpoint_mem a
· intro a b hab w hwa hwb
have hsub (z : I) : (paths z).2.val.support ⊆ (D.paths z).2.val.support := by
by_cases hz : z = i
· subst z
have heq : paths i = ⟨v, p⟩ := dite_eq_left rfl
rw [heq]
exact (D.paths i).2.val.support_takeUntil_subset_support hv
· have heq : paths z = D.paths z := dite_eq_right hz
rw [heq]
exact D.overlap a b hab w (hsub a hwa) (hsub b hwb)
lemma truncate_length_lt [Fintype I] [DecidableEq V] [DecidableEq I]
(D : BagRouting G s B) (hdis : ∀ a b, a ≠ b → Disjoint (B a) (B b))
(i : I) (j : J) (hj : j ∉ Set.range D.bag)
(v : V) (hv : v ∈ (D.paths i).2.val.support) (hB : v ∈ B j) :
(D.truncate i j hj v hv hB).totalLength < D.totalLength := by
classical
have hne : v ≠ (D.paths i).1 := by
intro heq
have hx : j ≠ D.bag i := fun h => hj ⟨i, h.symm⟩
exact Set.disjoint_left.mp (hdis j (D.bag i) hx) hB (heq ▸ D.endpoint_mem i)
have hlt : ((D.paths i).2.val.takeUntil v hv).length < (D.paths i).2.val.length := by
have hh := (D.paths i).2.val.length_takeUntil_le_length hv
apply lt_of_le_of_ne hh
intro heq
have h := Walk.getVert_length_takeUntil hv
rw [heq, Walk.getVert_length] at h
exact hne h.symm
have hi : (D.truncate i j hj v hv hB).paths i =
⟨v, ⟨(D.paths i).2.val.takeUntil v hv, (D.paths i).2.property.takeUntil hv⟩⟩ :=
dite_eq_left rfl
have ha : ∀ a, a ≠ i → (D.truncate i j hj v hv hB).paths a = D.paths a :=
fun a h => dite_eq_right h
apply Finset.sum_lt_sum
· intro a _
by_cases h : a = i
· subst a
rw [hi]
exact hlt.le
· rw [ha a h]
· refine ⟨i, Finset.mem_univ _, ?_⟩
rw [hi]
exact hlt
theorem exists_avoiding_unused [Fintype I] [DecidableEq V] [DecidableEq I]
(hdis : ∀ a b, a ≠ b → Disjoint (B a) (B b))
(h : Nonempty (BagRouting G s B)) :
∃ D : BagRouting G s B, ∀ j, j ∉ Set.range D.bag →
∀ i v, v ∈ (D.paths i).2.val.support → v ∉ B j := by
classical
have hex : ∃ n : ℕ, ∃ D : BagRouting G s B, D.totalLength = n := by
obtain ⟨D⟩ := h
exact ⟨D.totalLength, D, rfl⟩
obtain ⟨D, hd⟩ := Nat.find_spec hex
refine ⟨D, ?_⟩
intro j hj i v hv hB
have hmin := Nat.find_min' hex ⟨D.truncate i j hj v hv hB, rfl⟩
rw [← hd] at hmin
exact (not_le_of_gt (D.truncate_length_lt hdis i j hj v hv hB)) hmin
end BagRouting
theorem bagRouting_of_double_packing {V J : Type} [Fintype V] [Fintype J]
[DecidableEq V] (G : SimpleGraph V) (A : Finset V) (B : J → Set V)
(hc : KConnectedOn G Finset.univ (2 * A.card))
(hcB : ∀ j, (G.induce (B j)).Connected)
(hdB : ∀ i j, i ≠ j → Disjoint (B i) (B j))
(haB : ∀ j, Disjoint (↑A : Set V) (B j))
(hcard : 2 * A.card ≤ Fintype.card J) :
Nonempty (BagRouting G (fun i : ↥A × Bool => i.1.val) B) := by
classical
have hex : ∀ j, ∃ v, v ∈ B j := fun j => by
obtain ⟨v⟩ := (hcB j).nonempty
exact ⟨v.val, v.property⟩
choose rep hrep using hex
have hinj : Function.Injective rep := by
intro i j heq
by_contra hij
exact Set.disjoint_left.mp (hdB i j hij) (hrep i) (heq ▸ hrep j)
let T : Finset V := Finset.univ.image rep
have hAT : Disjoint A T := by
apply Finset.disjoint_left.mpr
intro a ha ht
obtain ⟨j, _, rfl⟩ := Finset.mem_image.mp ht
exact Set.disjoint_left.mp (haB j) ha (hrep j)
have hT : T.card = Fintype.card J := by
simp [T, Finset.card_image_of_injective _ hinj]
obtain ⟨D⟩ := double_packing G A T hAT hc (hT ▸ hcard)
have htar : ∀ i : ↥A × Bool, ∃ j, rep j = (D.target i).val := by
intro i
obtain ⟨j, _, heq⟩ := Finset.mem_image.mp (D.target i).property
exact ⟨j, heq⟩
choose idx hidx using htar
refine ⟨⟨fun i => ⟨(D.target i).val, D.route i⟩, idx, ?_, ?_, D.overlap⟩⟩
· intro i j hij
apply D.target_injective
apply Subtype.ext
rw [← hidx i, ← hidx j, hij]
· intro i
change (D.target i).val ∈ B (idx i)
rw [← hidx]
exact hrep (idx i)
open scoped Classical
lemma exists_region_avoiding {V I : Type} [Fintype I] [DecidableEq V]
(C : I → Set V) (X : Finset V) (c r : ℕ) (hc : 0 < c)
(hI : c * r ≤ Fintype.card I) (hX : X.card < r)
(hcon : ∀ v ∈ X, (Finset.univ.filter fun i => v ∈ C i).card ≤ c) :
∃ i, ∀ v ∈ C i, v ∉ X := by
classical
let met : Finset I := X.biUnion fun v => Finset.univ.filter fun i => v ∈ C i
have hmet : met.card ≤ X.card * c := by
calc
met.card ≤ ∑ v ∈ X, (Finset.univ.filter fun i => v ∈ C i).card :=
Finset.card_biUnion_le
_ ≤ ∑ _v ∈ X, c := Finset.sum_le_sum hcon
_ = X.card * c := by simp
have hmI : met.card < Fintype.card I := by
have hmul := Nat.mul_lt_mul_of_pos_right hX hc
nlinarith
obtain ⟨i, _, hi⟩ := Finset.exists_mem_notMem_of_card_lt_card
(show met.card < (Finset.univ : Finset I).card by simpa using hmI)
refine ⟨i, ?_⟩
intro v hv hvX
exact hi (Finset.mem_biUnion.mpr ⟨v, hvX, Finset.mem_filter.mpr ⟨Finset.mem_univ _, hv⟩⟩)
structure RootedCliqueModel {V I : Type} (G : SimpleGraph V) (roots : I → V) where
branch : I → Set V
connected : ∀ i, (G.induce (branch i)).Connected
disjoint : ∀ i j, i ≠ j → Disjoint (branch i) (branch j)
adjacent : ∀ i j, i ≠ j → ∃ x ∈ branch i, ∃ y ∈ branch j, G.Adj x y
root_mem : ∀ i, roots i ∈ branch i
theorem rootedModel_of_packing {V W : Type} [DecidableEq W]
{G : SimpleGraph V} {H : SimpleGraph W} (M : MinorModel G H)
{A B : Finset W} (D : FullPacking H A B)
(hcl : ∀ x ∈ B, ∀ y ∈ B, x ≠ y → H.Adj x y)
(roots : ↥A → V) (hr : ∀ a, roots a ∈ M.branch a.val) :
Nonempty (RootedCliqueModel G roots) := by
let S : ↥A → Set W := fun a => {w | w ∈ (D.route a).val.support}
refine ⟨⟨fun a => M.expand (S a), ?_, ?_, ?_, ?_⟩⟩
· intro a
exact M.expand_connected (D.route a).val.connected_induce_support
· intro a b hab
exact M.expand_disjoint (D.disjoint a b hab)
· intro a b hab
have hne : (D.target a).val ≠ (D.target b).val := by
intro h
exact hab (D.target_injective (Subtype.ext h))
obtain ⟨x, hx, y, hy, hxy⟩ := M.adjacent
(hcl _ (D.target a).property _ (D.target b).property hne)
exact ⟨x, ⟨_, (D.route a).val.end_mem_support, hx⟩,
y, ⟨_, (D.route b).val.end_mem_support, hy⟩, hxy⟩
· intro a
exact ⟨a.val, (D.route a).val.start_mem_support, hr a⟩
end LinearListHadwiger
end OAI