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Add lean source and binary files (part 42)
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import OAI.Combinatorics.ContingencyTables.Transport.EdmondsKarpDistance
import OAI.Combinatorics.ContingencyTables.Transport.PathAugmentation
namespace OAI
/-! # Label monotonicity and critical arcs of a shortest augmentation -/
namespace ContingencyTables.EdmondsKarpAugmentation
open PublishedEdmondsKarp PathAugmentation EdmondsKarpDistance
open scoped Classical
noncomputable section
variable {n k : ℕ}
lemma reverse_count_zero (p : Fin (k+1)→Fin n) (hp : Function.Injective p) (i : Fin k) :
arcCount p (p i.succ) (p i.castSucc)=0 := by
apply arcCount_eq_zero
rintro ⟨j,hj,hi⟩
have h1 := congrArg Fin.val (hp hj)
have h2 := congrArg Fin.val (hp hi)
simp only [Fin.val_castSucc,Fin.val_succ] at h1 h2
omega
lemma update_decrease (f : Flow n) (p : Fin (k+1)→Fin n) (a : ℤ) (ha : 0 ≤ a)
(u v : Fin n) (h : update f p a u v < f u v) :
∃ i : Fin k,p i.castSucc=v ∧ p i.succ=u := by
by_contra hn
have hz : arcCount p v u=0 := arcCount_eq_zero p v u hn
have hc := arcCount_nonneg p u v
have hprod := mul_nonneg ha hc
simp only [update,hz,sub_zero] at h
omega
lemma update_new_edge (c : Capacity n) (f : Flow n) (p : Fin (k+1)→Fin n)
(a : ℤ) (ha : 0 ≤ a) (u v : Fin n)
(h : 0 < (c u v:ℤ)-update f p a u v) :
0 < (c u v:ℤ)-f u v ∨ ∃ i : Fin k,p i.castSucc=v ∧ p i.succ=u := by
by_cases hold : 0 < (c u v:ℤ)-f u v
· exact Or.inl hold
· exact Or.inr (update_decrease f p a ha u v (by omega))
lemma update_saturates (c : Capacity n) (f : Flow n) (p : Fin (k+1)→Fin n)
(hp : Function.Injective p) (a : ℤ) (i : Fin k)
(ha : a=(c (p i.castSucc) (p i.succ):ℤ)-f (p i.castSucc) (p i.succ)) :
update f p a (p i.castSucc) (p i.succ)=c (p i.castSucc) (p i.succ) := by
rw [update,arcCount_eq_one p hp i,reverse_count_zero p hp i]
omega
/-- All old distance labels remain valid lower potentials for the new
residual graph, including arcs created by cancellation of flow. -/
theorem labels_monotone {c : Capacity n} {s t : Fin n} {f g : Flow n}
(h : ShortestAugmentation c s t f g) (v : Fin n) : label c f s v ≤ label c g s v := by
obtain ⟨k,p,a,hp,hshort,ha,_,_,hg⟩ := h
have he : g=update f p a := funext (fun u => funext (hg u))
apply potential_le_distance (ResidualSearch.edge c g) s (label c f s)
(label_source c f s) (label_le c f s)
intro u v huv
have hres : 0 < (c u v:ℤ)-g u v := of_decide_eq_true huv
rw [he] at hres
rcases update_new_edge c f p a ha.le u v hres with hold|⟨i,hi,hj⟩
· exact label_edge hold
· have h1 := label_path hp hshort i.castSucc
have h2 := label_path hp hshort i.succ
rw [hi] at h1
rw [hj] at h2
simp only [Fin.val_castSucc,Fin.val_succ] at h1 h2
omega
/-- A decrease of flow on (u,v) means the augmentation used (v,u).
Consequently u was one distance layer beyond v. -/
theorem decrease_labels {c : Capacity n} {s t : Fin n} {f g : Flow n}
(h : ShortestAugmentation c s t f g) (u v : Fin n) (hdec : g u v < f u v) :
label c f s u=label c f s v+1 := by
obtain ⟨k,p,a,hp,hshort,ha,_,_,hg⟩ := h
have he : g=update f p a := funext (fun u => funext (hg u))
rw [he] at hdec
obtain ⟨i,hi,hj⟩ := update_decrease f p a ha.le u v hdec
have h1 := label_path hp hshort i.castSucc
have h2 := label_path hp hshort i.succ
rw [hi] at h1
rw [hj] at h2
simp only [Fin.val_castSucc,Fin.val_succ] at h1 h2
omega
/-- Each augmentation has an arc which was residual, becomes saturated,
and points from one finite distance layer to the next. -/
theorem critical_arc {c : Capacity n} {s t : Fin n} {f g : Flow n}
(h : ShortestAugmentation c s t f g) :
∃ u v : Fin n,f u v < (c u v:ℤ) ∧ g u v=(c u v:ℤ) ∧
label c f s v=label c f s u+1 ∧ label c f s u < n := by
obtain ⟨k,p,a,hp,hshort,ha,_,⟨i,hsat⟩,hg⟩ := h
have he : g=update f p a := funext (fun u => funext (hg u))
refine ⟨p i.castSucc,p i.succ,?_,?_,?_,?_⟩
· have hr := hp.2.2.2 i
omega
· rw [he]
exact update_saturates c f p hp.2.2.1 a i hsat
· rw [label_path hp hshort i.castSucc,label_path hp hshort i.succ]
rfl
· exact label_path_lt hp hshort i.castSucc
end
end ContingencyTables.EdmondsKarpAugmentation
end OAI