openAI-math-dataset / lean /OAI /Combinatorics /MatchingPSD /FiniteFactorization.lean
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Add lean source and binary files (part 47)
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import OAI.Combinatorics.MatchingPSD.CellLowerBound
namespace OAI
universe u_1 u_2
namespace PerfectMatchingPSD
lemma endpoint_count {n : ℕ} (U : Finset (Fin n)) (M : PerfectMatching n) :
(∑ e ∈ M.1, ((if e.1.1 ∈ U then 1 else 0) +
(if e.1.2 ∈ U then 1 else 0) : ℕ)) = U.card := by
classical
have pair_count (e : Edge n) :
(∑ v ∈ U, (if e.1.1 = v ∨ e.1.2 = v then 1 else 0 : ℕ)) =
(if e.1.1 ∈ U then 1 else 0) + (if e.1.2 ∈ U then 1 else 0) := by
have pointwise (v : Fin n) :
(if e.1.1 = v ∨ e.1.2 = v then 1 else 0 : ℕ) =
(if e.1.1 = v then 1 else 0) + (if e.1.2 = v then 1 else 0) := by
have hne : e.1.1 ≠ e.1.2 := ne_of_lt e.2
by_cases h₁ : e.1.1 = v <;> by_cases h₂ : e.1.2 = v <;> simp_all
simp_rw [pointwise]
simp [Finset.sum_add_distrib]
calc
_ = ∑ e ∈ M.1, ∑ v ∈ U,
(if e.1.1 = v ∨ e.1.2 = v then 1 else 0 : ℕ) := by
apply Finset.sum_congr rfl
intro e _
exact (pair_count e).symm
_ = ∑ v ∈ U, ∑ e ∈ M.1,
(if e.1.1 = v ∨ e.1.2 = v then 1 else 0 : ℕ) := Finset.sum_comm
_ = ∑ v ∈ U, (M.1.filter fun e => e.1.1 = v ∨ e.1.2 = v).card := by
simp only [Finset.sum_boole, Nat.cast_id]
_ = U.card := by
have hm : ∀ v : Fin n,
(M.1.filter fun e => e.1.1 = v ∨ e.1.2 = v).card = 1 := M.2
simp [hm]
lemma cut_degree_identity {n : ℕ} (U : Finset (Fin n)) (M : PerfectMatching n) :
U.card = 2 * (M.1.filter fun e => e.1.1 ∈ U ∧ e.1.2 ∈ U).card +
crossingCount U M := by
classical
rw [← endpoint_count U M]
have term (e : Edge n) :
((if e.1.1 ∈ U then 1 else 0) + (if e.1.2 ∈ U then 1 else 0) : ℕ) =
2 * (if e.1.1 ∈ U ∧ e.1.2 ∈ U then 1 else 0) +
(if Crosses U e then 1 else 0) := by
by_cases h₁ : e.1.1 ∈ U <;> by_cases h₂ : e.1.2 ∈ U <;>
simp [h₁, h₂, Crosses]
simp_rw [term]
rw [Finset.sum_add_distrib, ← Finset.mul_sum]
simp only [Finset.sum_boole, Nat.cast_id, crossingCount]
lemma crossingCount_pos {n : ℕ} (U : OddCut n) (M : PerfectMatching n) :
0 < crossingCount U.1 M := by
obtain ⟨k, hk⟩ := U.2
have h := cut_degree_identity U.1 M
omega
lemma slack_nonneg {n : ℕ} (i : Row n) (M : PerfectMatching n) :
0 ≤ slack i M := by
classical
rcases i with e | U
· simp only [slack]
split_ifs <;> norm_num
· have h : 1 ≤ crossingCount U.1 M := crossingCount_pos U M
have hr : (1 : ℝ) ≤ (crossingCount U.1 M : ℝ) := by exact_mod_cast h
simpa only [slack, sub_nonneg] using hr
lemma exists_diagonal_factorization {I : Type u_1} {J : Type u_2} [Finite J]
(S : I → J → ℝ) (hS : ∀ i j, 0 ≤ S i j) :
∃ r : ℕ, 0 < r ∧
∃ (A : I → Matrix (Fin r) (Fin r) ℝ)
(B : J → Matrix (Fin r) (Fin r) ℝ),
(∀ i, (A i).PosSemidef) ∧ (∀ j, (B j).PosSemidef) ∧
∀ i j, S i j = Matrix.trace (A i * B j) := by
classical
let : Fintype J := Fintype.ofFinite J
let e := Fintype.equivFin (Option J)
let a (i : I) (k : Option J) : ℝ := k.elim 0 (S i)
let b (j : J) (k : Option J) : ℝ := if k = some j then 1 else 0
refine ⟨Fintype.card (Option J), by simp,
(fun i => (Matrix.diagonal (a i)).submatrix e.symm e.symm),
(fun j => (Matrix.diagonal (b j)).submatrix e.symm e.symm), ?_, ?_, ?_⟩
· intro i
apply Matrix.PosSemidef.submatrix
apply Matrix.PosSemidef.diagonal
intro k
cases k with
| none => exact le_rfl
| some j => exact hS i j
· intro j
apply Matrix.PosSemidef.submatrix
apply Matrix.PosSemidef.diagonal
intro k
dsimp [b]
split_ifs <;> norm_num
· intro i j
rw [Matrix.submatrix_mul_equiv, Matrix.diagonal_mul_diagonal,
Matrix.submatrix_diagonal _ _ e.symm.injective, Matrix.trace_diagonal]
dsimp only [Function.comp_def]
rw [e.symm.sum_comp (fun k => a i k * b j k)]
simp [a, b]
lemma factor_orders_nonempty (n : ℕ) :
{r : ℕ | 0 < r ∧ HasFactorization n r}.Nonempty := by
obtain ⟨r, hr, h⟩ := exists_diagonal_factorization (@slack n) slack_nonneg
exact ⟨r, hr, h⟩
lemma psdRank_pos (n : ℕ) : 0 < psdRank n :=
(Nat.sInf_mem (factor_orders_nonempty n)).1
lemma hasFactorization_psdRank (n : ℕ) : HasFactorization n (psdRank n) :=
(Nat.sInf_mem (factor_orders_nonempty n)).2
lemma psdRank_le {n r : ℕ} (hr : 0 < r) (h : HasFactorization n r) :
psdRank n ≤ r := Nat.sInf_le ⟨hr, h⟩
end PerfectMatchingPSD
end OAI