import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Spectrum.StateObstruction import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Spectrum.MultiplicativeStates import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Spectrum.Obstruction import OAI.LinearAlgebra.MatrixMultiplication.AuxiliarySeparation.Tensor.Characters namespace OAI /-! # Detecting characters for complex matrix multiplication This proves Lemma 3.1, including Appendix A. Finite inconsistency would produce a positive scalar-gain catalyst, ruled out by the exact-rank exponent. A compact normalized state space then yields a multiplicative state, which transfers to the concrete coefficient-level character interface. -/ noncomputable section namespace MatrixMultiplication.AuxiliarySeparation open MatrixMultiplication.Foundation /-- Lemma 3.1: normalized, additive, multiplicative, restriction-monotone characters detect every integer strictly below the exact-rank growth value. -/ theorem exists_detecting_character {d k : ℕ} (hd : 2 ≤ d) (hk : (k : ℝ) < (d : ℝ) ^ exactRankExponent) : ∃ χ : Character, (k : ℝ) ≤ χ.value (Tensor.matrixMultiplication d d d) := by have hnonempty := normalizedStates_nonempty_of_no_catalyst TensorSemiring.rank (TensorSemiring.matrixClass d) k TensorSemiring.zero_le TensorSemiring.le_rank (fun _ _ _ _ h₁ h₂ => TensorSemiring.add_mono h₁ h₂) (fun D s m hm hcat => no_tensor_catalytic_gain (by omega) hk ⟨D, s, m, hm, hcat⟩) have hdom (z x : TensorSemiring.TensorClass) : z * x ≤ (TensorSemiring.rank x : TensorSemiring.TensorClass) * z := by calc z * x ≤ z * (TensorSemiring.rank x : TensorSemiring.TensorClass) := TensorSemiring.mul_mono le_rfl (TensorSemiring.le_rank x) _ = (TensorSemiring.rank x : TensorSemiring.TensorClass) * z := mul_comm _ _ obtain ⟨φ, hφ, _, hdetect⟩ := exists_monotone_semiringHom_of_normalizedStates TensorSemiring.rank (TensorSemiring.matrixClass d) (k : ℝ) (fun z hz => TensorSemiring.one_le_of_ne_zero hz) (fun _ _ _ h => TensorSemiring.mul_mono le_rfl h) hdom hnonempty exact ⟨Character.ofTensorClassHom φ hφ, hdetect⟩ end MatrixMultiplication.AuxiliarySeparation end end OAI