import OAI.Computability.RationalHitting.QuantumMatrices namespace OAI namespace RationalHitting.PolynomialHahn open HahnSeries MvPolynomial open scoped BigOperators noncomputable section abbrev Exponents := ℤ ×ₗ ℤ variable {K : Type*} [Field K] def exponent (m : Fin 2 →₀ ℕ) : Exponents := toLex ((m 0 : ℤ), (m 1 : ℤ)) lemma exponent_injective : Function.Injective exponent := by intro m n h have h' : ((m 0 : ℤ), (m 1 : ℤ)) = ((n 0 : ℤ), (n 1 : ℤ)) := congrArg ofLex h ext i fin_cases i · exact Int.ofNat.inj (by simpa using congrArg Prod.fst h') · exact Int.ofNat.inj (by simpa using congrArg Prod.snd h') def variableSeries (i : Fin 2) : HahnSeries Exponents K := single (if i = 0 then toLex (1,0) else toLex (0,1)) 1 def embed : MvPolynomial (Fin 2) K →+* HahnSeries Exponents K := eval₂Hom (algebraMap K _) variableSeries lemma embed_monomial (m : Fin 2 →₀ ℕ) (a : K) : embed (monomial m a) = single (exponent m) a := by rw [embed, eval₂Hom_monomial, Finsupp.prod_fintype _ _ (by simp)] have he : (m 0 : Exponents) * toLex (1,0) + (m 1 : Exponents) * toLex (0,1) = exponent m := by change toLex ((m 0 : ℤ)*1+(m 1 : ℤ)*0, (m 0 : ℤ)*0+(m 1 : ℤ)*1) = _ simp [exponent] simp [variableSeries, Fin.prod_univ_two, HahnSeries.single_pow, HahnSeries.single_mul_single, HahnSeries.algebraMap_apply, HahnSeries.C_apply, he] lemma embed_coeff (p : MvPolynomial (Fin 2) K) (m : Fin 2 →₀ ℕ) : (embed p).coeff (exponent m) = p.coeff m := by classical conv_lhs => rw [p.as_sum] rw [map_sum, HahnSeries.coeff_sum] simp_rw [embed_monomial, HahnSeries.coeff_single] simp only [exponent_injective.eq_iff] rw [Finset.sum_ite_eq] split_ifs with h · rfl · exact (not_not.mp (mt mem_support_iff.mpr h)).symm lemma embed_injective : Function.Injective (embed (K := K)) := by intro p q hpq ext m have h := congrArg (fun x : HahnSeries Exponents K => x.coeff (exponent m)) hpq simpa only [embed_coeff] using h end end RationalHitting.PolynomialHahn namespace RationalHitting.BlockDivision open Module Matrix open scoped BigOperators noncomputable section variable {D E : Type*} [DivisionRing D] [Field E] variable {m κ : Type*} [Fintype m] [DecidableEq m] [Fintype κ] [DecidableEq κ] def blockEmbedding (φ : D →+* Matrix (κ) (κ) E) : Matrix (m) (m) D →+* Matrix (m × κ) (m × κ) E where toFun A i j := φ (A i.1 j.1) i.2 j.2 map_zero' := by ext i j; simp map_one' := by ext ⟨i,α⟩ ⟨j,β⟩ simp only [Matrix.one_apply, Prod.mk.injEq] by_cases hij : i = j <;> by_cases hab : α = β <;> simp [hij, hab] map_add' A B := by ext i j change φ (A i.1 j.1 + B i.1 j.1) i.2 j.2 = _ + _ simp map_mul' A B := by ext ⟨i,α⟩ ⟨j,β⟩ change φ (∑ k, A i k * B k j) α β = ∑ k : m × κ, φ (A i k.1) α k.2 * φ (B k.1 j) k.2 β simp only [map_sum, map_mul, Matrix.sum_apply, Matrix.mul_apply, Fintype.sum_prod_type] lemma unit_of_vecMul_injective (A : Matrix (m) (m) D) (hA : Function.Injective A.vecMulLinear) : IsUnit A := by let e := LinearEquiv.ofBijective A.vecMulLinear ⟨hA, (LinearMap.injective_iff_surjective).mp hA⟩ let B := e.symm.toLinearMap.toMatrixRight' have hAB : A * B = 1 := by apply Matrix.toLinearMapRight'.injective rw [Matrix.toLinearMapRight'_mul, Matrix.toLinearMapRight'_one] change (LinearMap.toMatrixRight'.symm (LinearMap.toMatrixRight' e.symm.toLinearMap)).comp e.toLinearMap = LinearMap.id rw [LinearEquiv.symm_apply_apply] exact e.symm_comp have hBA : B * A = 1 := by apply Matrix.toLinearMapRight'.injective rw [Matrix.toLinearMapRight'_mul, Matrix.toLinearMapRight'_one] change e.toLinearMap.comp (LinearMap.toMatrixRight'.symm (LinearMap.toMatrixRight' e.symm.toLinearMap)) = LinearMap.id rw [LinearEquiv.symm_apply_apply] exact e.comp_symm exact ⟨⟨A, B, hAB, hBA⟩, rfl⟩ /-- A nonzero row of a division-ring kernel expands into d independent ordinary kernel rows after a faithful d-dimensional representation. -/ def kernelRows (φ : D →+* Matrix (κ) (κ) E) (v : m → D) : (κ → E) →ₗ[E] (m × κ → E) where toFun x j := (x ᵥ* φ (v j.1)) j.2 map_add' x y := by ext j; simp [Matrix.add_vecMul] map_smul' c x := by ext j; simp [Matrix.smul_vecMul] lemma kernelRows_injective.{v_1, v_2, v_3, v_4} {D : Type v_1} {E : Type v_2} [DivisionRing D] [Field E] {m : Type v_3} {κ : Type v_4} [Fintype m] [DecidableEq m] [Fintype κ] [DecidableEq κ] (φ : D →+* Matrix (κ) (κ) E) (v : m → D) (hv : v ≠ 0) : Function.Injective (kernelRows φ v) := by obtain ⟨j, hj⟩ : ∃ j, v j ≠ 0 := by by_contra! hh exact hv (funext hh) have hunit : IsUnit (φ (v j)) := (isUnit_iff_ne_zero.mpr hj).map φ intro x y h apply Matrix.vecMul_injective_of_isUnit hunit funext α exact congrFun h (j,α) lemma kernelRows_mem (φ : D →+* Matrix (κ) (κ) E) (A : Matrix (m) (m) D) (v : m → D) (hv : v ᵥ* A = 0) (x : κ → E) : kernelRows φ v x ∈ (blockEmbedding φ A).vecMulLinear.ker := by change (kernelRows φ v x) ᵥ* (blockEmbedding φ A) = 0 funext ⟨j,β⟩ have hh := congrArg (fun z : D => (x ᵥ* φ z) β) (congrFun hv j) change (∑ i : m × κ, (∑ γ, x γ * φ (v i.1) γ i.2) * φ (A i.1 j) i.2 β) = 0 rw [Fintype.sum_prod_type] simp_rw [Finset.sum_mul, mul_assoc] conv_lhs => arg 2; ext i; rw [Finset.sum_comm] rw [Finset.sum_comm] have heq : (∑ γ, ∑ i, ∑ α, x γ * (φ (v i) γ α * φ (A i j) α β)) = (x ᵥ* φ ((v ᵥ* A) j)) β := by simp only [Matrix.vecMul, dotProduct, map_sum, map_mul, Matrix.sum_apply, Matrix.mul_apply, Finset.mul_sum] rw [heq, hv] simp /-- The rank gap obtained by block elimination over a division ring. -/ theorem rank_gap (φ : D →+* Matrix (κ) (κ) E) (A : Matrix (m) (m) D) : IsUnit (blockEmbedding φ A) ∨ (blockEmbedding φ A).rank + Fintype.card κ ≤ Fintype.card m * Fintype.card κ := by classical by_cases hu : IsUnit (blockEmbedding φ A) · exact Or.inl hu right have hn : ¬ Function.Injective A.vecMulLinear := by intro h exact hu ((unit_of_vecMul_injective A h).map (blockEmbedding φ)) have hk : A.vecMulLinear.ker ≠ ⊥ := by intro h exact hn (LinearMap.ker_eq_bot.mp h) obtain ⟨v, hv, hv0⟩ := Submodule.exists_mem_ne_zero_of_ne_bot hk let g : (κ → E) →ₗ[E] (blockEmbedding φ A).vecMulLinear.ker := (kernelRows φ v).codRestrict _ (kernelRows_mem φ A v hv) have hg : Function.Injective g := by intro x y h exact kernelRows_injective φ v hv0 (congrArg Subtype.val h) have hdim := LinearMap.finrank_le_finrank_of_injective hg have hrank := (blockEmbedding φ A).vecMulLinear.finrank_range_add_finrank_ker have heq : finrank E (blockEmbedding φ A).vecMulLinear.range = (blockEmbedding φ A).rank := by rw [← Matrix.mulVecLin_transpose, ← Matrix.rank, Matrix.rank_transpose] rw [heq] at hrank simp only [Module.finrank_pi, Fintype.card_prod] at hdim hrank omega theorem isUnit_of_rank_gt (φ : D →+* Matrix (κ) (κ) E) (A : Matrix (m) (m) D) (hq : 1 ≤ Fintype.card m) (h : (Fintype.card m-1)*Fintype.card κ < (blockEmbedding φ A).rank) : IsUnit (blockEmbedding φ A) := by rcases rank_gap φ A with hunit | hgap · exact hunit have heq : (Fintype.card m-1)*Fintype.card κ+Fintype.card κ = Fintype.card m * Fintype.card κ := by calc _ = (Fintype.card m-1+1)*Fintype.card κ := by ring _ = Fintype.card m * Fintype.card κ := by rw [Nat.sub_add_cancel hq] omega end end RationalHitting.BlockDivision namespace RationalHitting.RankSpecialization open Matrix noncomputable section variable {K P E ι : Type*} [Field K] [CommRing P] [Field E] [Algebra K P] [Fintype ι] [DecidableEq ι] /-- Specialization cannot raise the generic rank. This version requires no unstated minor criterion: a rank normal form supplies a nonzero minor after constant row and column changes. -/ theorem rank_le (ev : P →ₐ[K] K) (inclusion : P →+* E) (hinj : Function.Injective inclusion) (A : Matrix ι ι P) : (ev.toRingHom.mapMatrix A).rank ≤ (inclusion.mapMatrix A).rank := by classical let S := ev.toRingHom.mapMatrix A obtain ⟨V,U,e,hV,hU,hform⟩ := Matrix.exists_rank_normal_form S let c := algebraMap K P let T := c.mapMatrix V * A * c.mapMatrix U let j : Fin S.rank → ι := fun i => e.symm (Sum.inl i) have hT : ev.toRingHom.mapMatrix T = V*S*U := by dsimp [T] rw [map_mul, map_mul] congr 2 · ext i j; exact ev.commutes (V i j) · ext i j; exact ev.commutes (U i j) have hminor : ev.toRingHom.mapMatrix (T.submatrix j j) = 1 := by change (ev.toRingHom.mapMatrix T).submatrix j j = 1 rw [hT, hform] ext i k simp [j, Matrix.submatrix, Matrix.one_apply] have hdet : (T.submatrix j j).det ≠ 0 := by intro hz have h := ev.toRingHom.map_det (T.submatrix j j) rw [hz, map_zero, hminor, det_one] at h exact zero_ne_one h have hdetE : (inclusion.mapMatrix (T.submatrix j j)).det ≠ 0 := by rw [← inclusion.map_det] exact fun h => hdet (hinj (h.trans (map_zero inclusion).symm)) have hrk := Matrix.rank_of_det_ne_zero hdetE have hsub : (inclusion.mapMatrix (T.submatrix j j)).rank ≤ (inclusion.mapMatrix T).rank := Matrix.rank_submatrix_le (inclusion.mapMatrix T) j j have hmul : (inclusion.mapMatrix T).rank ≤ (inclusion.mapMatrix A).rank := by dsimp [T] rw [map_mul, map_mul] exact (Matrix.rank_mul_le_left _ _).trans (Matrix.rank_mul_le_right _ _) simp only [Fintype.card_fin] at hrk exact hrk ▸ hsub.trans hmul end end RationalHitting.RankSpecialization end OAI