import Mathlib.Algebra.Field.ZMod import Mathlib.LinearAlgebra.Dimension.FreeAndStrongRankCondition import Mathlib.LinearAlgebra.Matrix.Rank import OAI.Computability.PerfectCompleteness.Sampling.CutSamplerReplayTransportLemmas namespace OAI section namespace PerfectCompleteness.BinaryRankOneCount open scoped BigOperators Classical open UniqueGamesTheorem.Foundations.Games noncomputable section theorem rank_le_one_iff_vecMulVec {K I J : Type*} [Field K] [Fintype I] [Fintype J] (A : Matrix I J K) : A.rank ≤ 1 ↔ ∃ u : I → K, ∃ v : J → K, Matrix.vecMulVec u v = A := by constructor · intro hA let S : Submodule K (I → K) := Submodule.span K (Set.range A.col) have hS : Module.finrank K S ≤ 1 := by simpa only [S, Matrix.rank_eq_finrank_span_cols] using hA obtain ⟨u, hu⟩ := (finrank_le_one_iff (K := K) (V := S)).mp hS have hcol (j : J) : A.col j ∈ S := Submodule.subset_span (Set.mem_range_self j) choose v hv using (fun j : J => hu ⟨A.col j, hcol j⟩) refine ⟨u.val, v, ?_⟩ ext i j change u.val i * v j = A i j have hij := congrArg (fun z : S => z.val i) (hv j) change v j * u.val i = A i j at hij exact (mul_comm _ _).trans hij · rintro ⟨u, v, rfl⟩ exact Matrix.rank_vecMulVec_le u v theorem rank_le_one_card_le_vec_pairs {K I J : Type*} [Field K] [Fintype K] [Fintype I] [Fintype J] : Fintype.card {A : Matrix I J K // A.rank ≤ 1} ≤ Fintype.card ((I → K) × (J → K)) := by let outer : ((I → K) × (J → K)) → {A : Matrix I J K // A.rank ≤ 1} := fun p => ⟨Matrix.vecMulVec p.1 p.2, Matrix.rank_vecMulVec_le p.1 p.2⟩ apply Fintype.card_le_of_surjective outer intro A obtain ⟨u, v, huv⟩ := (rank_le_one_iff_vecMulVec A.val).mp A.property exact ⟨(u, v), Subtype.ext huv⟩ theorem binary_rank_le_one_card_le (m : Nat) : Fintype.card {A : Matrix (Fin m) (Fin m) (ZMod 2) // A.rank ≤ 1} ≤ 2 ^ (2 * m) := by let outer : ((Fin m → ZMod 2) × (Fin m → ZMod 2)) → {A : Matrix (Fin m) (Fin m) (ZMod 2) // A.rank ≤ 1} := fun p => ⟨Matrix.vecMulVec p.1 p.2, Matrix.rank_vecMulVec_le p.1 p.2⟩ have covers : Function.Surjective outer := by intro A obtain ⟨u, v, huv⟩ := (rank_le_one_iff_vecMulVec A.val).mp A.property exact ⟨(u, v), Subtype.ext huv⟩ have vector_card : Fintype.card (Fin m → ZMod 2) = 2 ^ m := by rw [Fintype.card_fun, ZMod.card, Fintype.card_fin] calc _ ≤ Fintype.card ((Fin m → ZMod 2) × (Fin m → ZMod 2)) := Fintype.card_le_of_surjective outer covers _ = 2 ^ m * 2 ^ m := by rw [Fintype.card_prod, vector_card] _ = 2 ^ (2 * m) := by rw [← pow_add, two_mul] theorem binary_matrix_card (m : Nat) : Fintype.card (Matrix (Fin m) (Fin m) (ZMod 2)) = 2 ^ (m * m) := by change Fintype.card (Fin m → Fin m → ZMod 2) = _ simp only [Fintype.card_fun, Fintype.card_fin, ZMod.card, pow_mul] theorem uniform_rank_le_one_probability_le (m : Nat) : (FiniteDistribution.uniform (Matrix (Fin m) (Fin m) (ZMod 2))).probability (fun A => decide (A.rank ≤ 1)) ≤ (2 : ℝ) ^ (2 * m) / (2 : ℝ) ^ (m * m) := by have hcount : (Fintype.card {A : Matrix (Fin m) (Fin m) (ZMod 2) // A.rank ≤ 1} : ℝ) ≤ (2 : ℝ) ^ (2 * m) := by exact_mod_cast binary_rank_le_one_card_le m calc _ = (∑ A : Matrix (Fin m) (Fin m) (ZMod 2), if A.rank ≤ 1 then (1 : ℝ) else 0) / (Fintype.card (Matrix (Fin m) (Fin m) (ZMod 2)) : ℝ) := by change (∑ A : Matrix (Fin m) (Fin m) (ZMod 2), if decide (A.rank ≤ 1) then 1 / (Fintype.card (Matrix (Fin m) (Fin m) (ZMod 2)) : ℝ) else 0) = _ simp only [div_eq_mul_inv, Finset.sum_mul] apply Finset.sum_congr rfl intro A _ by_cases hA : A.rank ≤ 1 <;> simp [hA] _ = (Fintype.card {A : Matrix (Fin m) (Fin m) (ZMod 2) // A.rank ≤ 1} : ℝ) / (Fintype.card (Matrix (Fin m) (Fin m) (ZMod 2)) : ℝ) := by simp only [Fintype.card_subtype, Finset.sum_boole] _ ≤ (2 : ℝ) ^ (2 * m) / (Fintype.card (Matrix (Fin m) (Fin m) (ZMod 2)) : ℝ) := div_le_div_of_nonneg_right hcount (Nat.cast_nonneg _) _ = (2 : ℝ) ^ (2 * m) / (2 : ℝ) ^ (m * m) := by rw [binary_matrix_card] norm_cast end end PerfectCompleteness.BinaryRankOneCount end end OAI