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Add lean source and binary files (part 61)
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import OAI.Computability.LoopMatching.LiteralChoices
import OAI.Computability.LoopMatching.ExpandInput
import Mathlib.Data.Fintype.Perm
namespace OAI
/-! Polynomial-time approximation of weighted matchings with singleton loops. -/
noncomputable section
open scoped BigOperators
namespace LoopMatching
def ExpandedChoices (G : Input) (j : ℕ) : Type :=
(N : (BinaryMatching.completeGraph (expand G j).n).Matching) ×
((e : N.val) → Fin (BinaryMatching.multiplicity (expand G j) e.val))
def AssignedChoices (G : Input) (j : ℕ) : Type :=
(M : PartialMatching G.n) ×
((Fin j ≃ ↥(loopVertices M)) × MatchingChoices G M)
instance expandedChoicesFintype (G : Input) (j : ℕ) :
Fintype (ExpandedChoices G j) := by
classical
unfold ExpandedChoices
infer_instance
instance assignedChoicesFintype (G : Input) (j : ℕ) :
Fintype (AssignedChoices G j) := by
classical
unfold AssignedChoices
infer_instance
theorem card_expandedChoices (G : Input) (j : ℕ) :
Fintype.card (ExpandedChoices G j) = BinaryMatching.count (expand G j) := by
classical
unfold ExpandedChoices BinaryMatching.count
rw [Fintype.card_sigma]
apply Finset.sum_congr rfl
intro N _
simp only [Fintype.card_pi, Fintype.card_fin, Finset.prod_coe_sort]
theorem card_dummyAssignments {n : ℕ} (M : PartialMatching n) (j : ℕ) :
Fintype.card (Fin j ≃ ↥(loopVertices M)) =
if (loopVertices M).card = j then j.factorial else 0 := by
classical
by_cases h : (loopVertices M).card = j
· rw [ite_eq_left h]
let e : Fin j ≃ ↥(loopVertices M) := Fintype.equivOfCardEq (by
simpa only [Fintype.card_fin, Fintype.card_coe] using h.symm)
simpa only [Fintype.card_fin] using Fintype.card_equiv e
· rw [ite_eq_right h]
apply Fintype.card_eq_zero_iff.mpr
exact ⟨fun e => h (by
simpa only [Fintype.card_fin, Fintype.card_coe] using
(Fintype.card_congr e).symm)⟩
theorem card_assignedChoices (G : Input) (j : ℕ) :
Fintype.card (AssignedChoices G j) = j.factorial * countWithLoops G j := by
classical
unfold AssignedChoices
rw [Fintype.card_sigma]
unfold countWithLoops
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro M _
rw [Fintype.card_prod, card_dummyAssignments, card_matchingChoices]
by_cases h : (loopVertices M).card = j <;> simp [h]
theorem expanded_count_of_equiv (G : Input) (j : ℕ)
(e : ExpandedChoices G j ≃ AssignedChoices G j) :
BinaryMatching.count (expand G j) = j.factorial * countWithLoops G j := by
rw [← card_expandedChoices, ← card_assignedChoices]
exact Fintype.card_congr e
end LoopMatching
end
end OAI