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Add lean source and binary files (part 47)
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import Mathlib
import OAI.Combinatorics.MatchingCount.Graphs.CompleteGraph
import OAI.Combinatorics.MatchingCount.Machines.TreePostRealization
namespace OAI
namespace MatchingFPRAS
lemma vertex_bound_of_perfect {G : GraphInput} {M : Finset (Fin G.n×Fin G.n)}
(hM : Perfect G M) : G.n≤2*G.edges.card := by
classical
have hc : (Finset.univ : Finset (Fin G.n))⊆M.image Prod.fst ∪ M.image Prod.snd := by
intro v _
obtain ⟨e,he,-⟩:=hM.2 v
rcases he.2 with hv|hv
· exact Finset.mem_union_left _ (Finset.mem_image.mpr ⟨e,he.1,hv⟩)
· exact Finset.mem_union_right _ (Finset.mem_image.mpr ⟨e,he.1,hv⟩)
have h₁:=Finset.card_le_card hc
have h₂:=Finset.card_union_le (M.image Prod.fst) (M.image Prod.snd)
have h₃:=Finset.card_image_le (s:=M) (f:=Prod.fst)
have h₄:=Finset.card_image_le (s:=M) (f:=Prod.snd)
have h₅:=Finset.card_le_card hM.1
simp only [Finset.card_univ,Fintype.card_fin] at h₁
omega
lemma zero_of_vertex_bound {G : GraphInput} (h : 2*G.edges.card<G.n) : Z G=0 := by
classical
by_contra hz
obtain ⟨M,hM⟩:=Finset.card_pos.mp (Nat.pos_of_ne_zero hz)
have hb:=vertex_bound_of_perfect ((mem_perfectMatchings G M).mp hM)
omega
lemma even_of_perfect {G : GraphInput} {M : Finset (Fin G.n×Fin G.n)}
(hM : Perfect G M) : Even G.n := by
have h:=perfect_vertex_factor G M hM (fun _=>(-1:ℚ))
have hh : (-1:ℚ)^G.n=1 := by
simpa using h.symm
exact (neg_one_pow_eq_one_iff_even (by norm_num : (-1:ℚ)≠1)).mp hh
lemma zero_of_not_even {G : GraphInput} (he : ¬Even G.n) : Z G=0 := by
by_contra hz
obtain ⟨M,hM⟩:=Finset.card_pos.mp (Nat.pos_of_ne_zero hz)
exact he (even_of_perfect ((mem_perfectMatchings G M).mp hM))
lemma count_empty_graph {G : GraphInput} (hn : G.n=0) : Z G=1 := by
classical
have hv (v : Fin G.n) : False := by have := v.isLt; omega
have he : G.edges=∅ := Finset.eq_empty_of_forall_notMem (fun e _=>hv e.1)
have hp : Perfect G ∅ := ⟨Finset.empty_subset _,fun v=>False.elim (hv v)⟩
simp only [Z,perfectMatchings,he,Finset.powerset_empty]
have hf : Finset.filter (Perfect G) {∅}=({∅} : Finset (Finset (Fin G.n×Fin G.n))) := by
ext M
simp only [Finset.mem_filter,Finset.mem_singleton]
constructor
· exact And.left
· rintro rfl
exact ⟨rfl,hp⟩
rw [hf]
rfl
lemma edgeCard_le_input_length (G : GraphInput) (ε δ : ℚ) :
G.edges.card≤(encodeInput G ε δ).length := by
have hl (l : List (Fin G.n ×ₗ Fin G.n)) : l.length≤
(l.flatMap fun e=>encodeNat (ofLex e).1.val++encodeNat (ofLex e).2.val).length := by
induction l with
| nil => simp
| cons a as ih =>
simp only [List.flatMap_cons,List.length_append,List.length_cons]
have ha : 1≤(encodeNat (ofLex a).1.val).length := by
simp only [encodeNat,List.length_append,List.length_map,List.length_singleton]
omega
omega
have h:=hl ((G.edges.map toLex.toEmbedding).sort (·≤·))
simp only [Finset.length_sort,Finset.card_map] at h
simp only [encodeInput,List.length_append]
omega
lemma positive_vertex_input_bound {G : GraphInput} (ε δ : ℚ) (hZ : 0<Z G) :
G.n≤2*(encodeInput G ε δ).length := by
obtain ⟨M,hM⟩:=Finset.card_pos.mp hZ
exact (vertex_bound_of_perfect ((mem_perfectMatchings G M).mp hM)).trans
(Nat.mul_le_mul_left 2 (edgeCard_le_input_length G ε δ))
namespace ExecutableInput
open TreeTyped TreeFunction
abbrev SparseInput := ℕ×List (ℕ×ℕ)
noncomputable def sparseRep (G : GraphInput) : SparseInput :=
(G.n,(G.edges.toList.map (fun e=>(e.1.val,e.2.val))))
def tooSparse (x : SparseInput) : Bool := decide (2*x.2.length<x.1)
def tooSparseRealizer : Realizer tooSparse :=
(composition (TreeTyped.pair (composition (TreeTyped.pair
(composition second listLength) (composition second listLength)) add) first) less).congr (by
intro x
simp only [Function.comp_apply,tooSparse,two_mul])
lemma polynomial_tooSparse : PolynomialTime tooSparseRealizer := by
unfold tooSparseRealizer
apply polynomial_congr
tree_cost
lemma tooSparse_source (G : GraphInput) : tooSparse (sparseRep G)=decide (2*G.edges.card<G.n) := by
simp only [tooSparse,sparseRep,List.length_map,Finset.length_toList]
lemma tooSparse_zero (G : GraphInput) (h : tooSparse (sparseRep G)=true) : Z G=0 := by
rw [tooSparse_source] at h
exact zero_of_vertex_bound (of_decide_eq_true h)
lemma tooSparse_false_bound (G : GraphInput) (h : tooSparse (sparseRep G)=false) : G.n≤2*G.edges.card := by
rw [tooSparse_source] at h
have hh:=of_decide_eq_false h
omega
lemma tooSparse_false_input_bound (G : GraphInput) (ε δ : ℚ)
(h : tooSparse (sparseRep G)=false) : G.n≤2*(encodeInput G ε δ).length :=
(tooSparse_false_bound G h).trans (Nat.mul_le_mul_left 2 (edgeCard_le_input_length G ε δ))
open TreePost Turing
theorem tooSparse_post : ∃ p : Polynomial ℕ,∀ x : SparseInput,∀ t : ℕ,
p.eval (packed x).length≤t → ∀ coins : Fin t→Bool,
(run (machine tooSparseRealizer.program) (packed x) coins).state=none ∧
(run (machine tooSparseRealizer.program) (packed x) coins).tape.right₀=
ListBlank.mk (packed (tooSparse x)) :=
polynomial_compiles tooSparseRealizer polynomial_tooSparse
end ExecutableInput
end MatchingFPRAS
end OAI