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Add lean source and binary files (part 47)
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import OAI.Combinatorics.PerfectMatching.CountCorrect
namespace OAI
section
namespace BinaryMatching.Algorithm
noncomputable section
open Finset MatchingEntropy
lemma count_zero_vertices (G : Input) (hn : G.n=0) : count G=1 := by
classical
let M : (completeGraph G.n).Matching := ⟨∅,fun v => by have := v.isLt; omega⟩
have hM (N : (completeGraph G.n).Matching) : N=M := by
apply Subtype.ext
apply Finset.eq_empty_of_forall_notMem
intro e _
have := e.val.1.isLt
omega
unfold count
rw [sum_eq_single M]
· simp [M]
· intro N _ hne
exact (hne (hM N)).elim
· simp
lemma count_odd_vertices (G : Input) (hn : Odd G.n) : count G=0 := by
classical
have hempty : IsEmpty (completeGraph G.n).Matching := ⟨fun M => by
have hh := (completeGraph G.n).matching_card_twice M
simp only [Fintype.card_fin] at hh
obtain ⟨r,hr⟩ := hn
omega⟩
simp [count]
lemma count_two_vertices (G : Input) (hn : G.n=2) : count G=rawMultiplicity G 0 1 := by
classical
let e : Pair G.n := ⟨(⟨0,by omega⟩,⟨1,by omega⟩),by simp⟩
have heq (f : Pair G.n) : f=e := by
apply Subtype.ext
apply Prod.ext <;> apply Fin.ext
· have hh := f.property; have h1 := f.val.1.isLt; have h2 := f.val.2.isLt
dsimp [e] at hh ⊢; omega
· have hh := f.property; have h1 := f.val.1.isLt; have h2 := f.val.2.isLt
dsimp [e] at hh ⊢; omega
have heinc (v : Fin G.n) : (completeGraph G.n).Incident v e := by
have hv := v.isLt
change e.val.1=v ∨ e.val.2=v
by_cases hz : v.val=0
· left; apply Fin.ext; exact hz.symm
· right; apply Fin.ext; dsimp [e]; omega
let M : (completeGraph G.n).Matching := ⟨{e},fun v => ⟨e,⟨by simp,heinc v⟩,
fun _ h => by simpa only [mem_singleton] using h.1⟩⟩
have hM (N : (completeGraph G.n).Matching) : N=M := by
apply Subtype.ext
apply Finset.ext
intro f
have hfn := heq f
obtain ⟨g,hg,_⟩ := N.property e.val.1
have hgn := heq g
have hmem : e∈N.val := hgn ▸ hg.1
simp only [M,mem_singleton,hfn]
exact iff_true_intro hmem
unfold count
rw [sum_eq_single M]
· simp only [M,prod_singleton]
unfold multiplicity rawMultiplicity
dsimp [e]
cases G.records.find? (fun r => r.left=0 && r.right=1) <;> rfl
· intro N _ hne
exact (hne (hM N)).elim
· simp
lemma present_endpoints_covered (G : Input) (e : Pair G.n) (he : 0 < multiplicity G e) :
e.val.1.val∈covered G ∧ e.val.2.val∈covered G := by
unfold multiplicity at he
cases hf : G.records.find? (fun r => r.left=e.val.1.val && r.right=e.val.2.val) with
| none => simp only [hf] at he; omega
| some r =>
have hr := List.mem_of_find?_eq_some hf
have hp := List.find?_some hf
simp only [Bool.and_eq_true,decide_eq_true_eq] at hp
simp only [hf] at he
have hr' : r∈G.records.filter (fun r => 0 < r.multiplicity) := by simp [hr,he]
constructor
· simp only [covered,List.mem_toFinset,List.mem_flatMap]
refine ⟨r,hr',?_⟩
simp [hp.1]
· simp only [covered,List.mem_toFinset,List.mem_flatMap]
refine ⟨r,hr',?_⟩
simp [hp.2]
lemma positive_count_covered (G : Input) (hN : 0 < count G) : G.n ≤ (covered G).card := by
obtain ⟨M,hM⟩ := positive_count_valid G hN
have hsub : range G.n ⊆ covered G := by
intro v hv
let w : Fin G.n := ⟨v,mem_range.mp hv⟩
obtain ⟨e,⟨he,hinc⟩,_⟩ := M.property w
have hep := present_endpoints_covered G e (hM e he)
rcases hinc with h|h
· have hh : e.val.1.val=v := congrArg Fin.val h
simpa only [hh] using hep.1
· have hh : e.val.2.val=v := congrArg Fin.val h
simpa only [hh] using hep.2
simpa only [card_range] using card_le_card hsub
lemma count_zero_of_uncovered (G : Input) (hu : (covered G).card < G.n) : count G=0 := by
by_contra hN
have := positive_count_covered G (Nat.pos_of_ne_zero hN)
omega
theorem approximate_correct (G : Input) :
approximate G ≤ count G ∧ count G ≤ 2^(9*G.n)*approximate G ∧
(approximate G=0 ↔ count G=0) := by
unfold approximate
split_ifs with hn0 hodd hn2 hcover
· rw [count_zero_vertices G hn0,hn0]
norm_num
· rw [count_odd_vertices G hodd]
simp
· rw [count_two_vertices G hn2]
refine ⟨le_rfl,?_,Iff.rfl⟩
exact Nat.le_mul_of_pos_left _ (by positivity)
· rw [count_zero_of_uncovered G hcover]
simp
· have heven : Even G.n := Nat.not_odd_iff_even.mp hodd
have hn : 4 ≤ G.n := by
obtain ⟨r,hr⟩ := heven
omega
exact estimate_correct G hn heven
end
end BinaryMatching.Algorithm
end
end OAI