import OAI.Analysis.FreeEntropy.GUEBounds namespace OAI universe u1 noncomputable section open MeasureTheory ProbabilityTheory Finset open scoped Classical namespace FiniteEntropySeparation variable {α : Type u1} {n d : ℕ} theorem basis_trace_contract (P Q : Matrix (Fin d) (Fin d) ℂ) : (∑ j, ∑ k, Matrix.trace (hermitianBasis j k*P*hermitianBasis j k*Q)) = Matrix.trace P*Matrix.trace Q := by simp_rw [← Matrix.trace_sum, ← sum_mul] rw [hermitianBasis_contract, smul_mul_assoc, one_mul, Matrix.trace_smul, smul_eq_mul] theorem fixedTraceWord_polynomial (A : α → Matrix (Fin d) (Fin d) ℂ) (B : Matrix (Fin d) (Fin d) ℂ) (w : List (α ⊕ Fin n)) : IsComplexPolynomial (fun x : MatrixIndex n d → ℝ => Matrix.trace (B*matrixWord (jointMatrix A x) w)) := ((IsMatrixPolynomial.const B).mul (IsMatrixPolynomial.word (jointMatrix_polynomial A) w)).trace theorem fixedTraceWord_derivative (A : α → Matrix (Fin d) (Fin d) ℂ) (B : Matrix (Fin d) (Fin d) ℂ) (w : List (α ⊕ Fin n)) (q : MatrixIndex n d) (x : MatrixIndex n d → ℝ) : complexCoordinateDerivative (fun y => Matrix.trace (B*matrixWord (jointMatrix A y) w)) q x = (Real.sqrt d:ℂ)⁻¹ * ∑ r : Fin w.length, if w[r.val]=Sum.inr q.1 then Matrix.trace (B*matrixWord (jointMatrix A x) (w.take r.val)*hermitianBasis q.2.1 q.2.2*matrixWord (jointMatrix A x) (w.drop (r.val+1))) else 0 := by have hm := hasDerivAt_matrix_mul (fun j k => hasDerivAt_const (x q) (B j k)) (hasDerivAt_matrixWord (jointMatrix_hasDeriv A x q) w) have ht := HasDerivAt.sum (u := univ) (fun j _ => hm j j) have htrace : HasDerivAt (fun y => Matrix.trace (B*matrixWord (jointMatrix A (Function.update x q y)) w)) (Matrix.trace (B*matrixWordVariation (jointMatrix A (Function.update x q (x q))) (noiseDirection q) w)) (x q) := by simpa only [Finset.sum_fn, Matrix.trace, Matrix.diag, show (fun _ _ : Fin d => (0:ℂ)) = (0:Matrix (Fin d) (Fin d) ℂ) from rfl, Matrix.zero_mul, zero_add] using ht have he := htrace.deriv change complexCoordinateDerivative (fun y => Matrix.trace (B*matrixWord (jointMatrix A y) w)) q x = _ at he simp only [Function.update_eq_self] at he rw [he] change Matrix.trace (B*matrixWordVariation (jointMatrix A x) (noiseDirection q) w) = _ simp only [matrixWordVariation, mul_sum, Matrix.trace_sum] apply sum_congr rfl intro r _ simp only [noiseDirection] split_ifs <;> simp [Matrix.trace_smul, mul_assoc] theorem gueTraceWord_expand (A : α → Matrix (Fin d) (Fin d) ℂ) (i : Fin n) (w : List (α ⊕ Fin n)) (x : MatrixIndex n d → ℝ) : matrixTraceWord (jointMatrix A x) (Sum.inr i::w) = ((d:ℂ)⁻¹*(Real.sqrt d:ℂ)⁻¹)*∑ j, ∑ k, (x (i,j,k):ℂ)*Matrix.trace (hermitianBasis j k*matrixWord (jointMatrix A x) w) := by simp only [matrixTraceWord, matrixWord_cons, jointMatrix, Sum.elim_inr, gueMatrix, coordinateMatrix_expand, smul_mul_assoc, sum_mul, Matrix.trace_sum, Matrix.trace_smul, smul_eq_mul, mul_sum] ring_nf theorem gueTraceWord_stein (_hd : 0 < d) (A : α → Matrix (Fin d) (Fin d) ℂ) (i : Fin n) (w : List (α ⊕ Fin n)) : (∫ x, matrixTraceWord (jointMatrix A x) (Sum.inr i::w) ∂productGaussian (MatrixIndex n d)) = ∑ r : Fin w.length, if w[r.val]=Sum.inr i then ∫ x, matrixTraceWord (jointMatrix A x) (w.take r.val)*matrixTraceWord (jointMatrix A x) (w.drop (r.val+1)) ∂productGaussian (MatrixIndex n d) else 0 := by let F := fun (j k : Fin d) (x : MatrixIndex n d → ℝ) => Matrix.trace (hermitianBasis j k*matrixWord (jointMatrix A x) w) have hF (j k : Fin d) : IsComplexPolynomial (F j k) := fixedTraceWord_polynomial A _ w have hi (j k : Fin d) := ((IsComplexPolynomial.coord (i,j,k)).mul (hF j k)).integrable have hdF (j k : Fin d) := ((hF j k).derivative (i,j,k)).integrable simp_rw [gueTraceWord_expand] rw [integral_const_mul, integral_finsetSum _ (fun j _ => integrable_finsetSum _ (fun k _ => hi j k))] simp_rw [integral_finsetSum _ (fun k _ => hi _ k)] change ((d:ℂ)⁻¹*(Real.sqrt d:ℂ)⁻¹)*(∑ j, ∑ k, ∫ x, (x (i,j,k):ℂ)*F j k x ∂productGaussian (MatrixIndex n d)) = _ simp_rw [(hF _ _).stein] simp_rw [← integral_finsetSum _ (fun k _ => hdF _ k)] rw [← integral_finsetSum _ (fun j _ => integrable_finsetSum _ (fun k _ => hdF j k))] have hcalc (x : MatrixIndex n d → ℝ) : (∑ j, ∑ k, complexCoordinateDerivative (F j k) (i,j,k) x) = (Real.sqrt d:ℂ)⁻¹ * ∑ r : Fin w.length, if w[r.val]=Sum.inr i then Matrix.trace (matrixWord (jointMatrix A x) (w.take r.val))*Matrix.trace (matrixWord (jointMatrix A x) (w.drop (r.val+1))) else 0 := by simp only [F, fixedTraceWord_derivative] simp_rw [← mul_sum] congr 1 have hs : ∀ j : Fin d, (∑ k : Fin d, ∑ r : Fin w.length, if w[r.val]=Sum.inr i then Matrix.trace (hermitianBasis j k*matrixWord (jointMatrix A x) (w.take r.val)*hermitianBasis j k*matrixWord (jointMatrix A x) (w.drop (r.val+1))) else 0) = ∑ r : Fin w.length, ∑ k : Fin d, if w[r.val]=Sum.inr i then Matrix.trace (hermitianBasis j k*matrixWord (jointMatrix A x) (w.take r.val)*hermitianBasis j k*matrixWord (jointMatrix A x) (w.drop (r.val+1))) else 0 := fun _ => sum_comm simp_rw [hs] rw [sum_comm] apply sum_congr rfl intro r _ simp only [sum_ite_irrel, sum_const_zero] split_ifs · exact basis_trace_contract _ _ · rfl simp_rw [hcalc] rw [integral_const_mul, ← mul_assoc] have hc : (d:ℂ)⁻¹*(Real.sqrt d:ℂ)⁻¹*(Real.sqrt d:ℂ)⁻¹=(d:ℂ)⁻¹*(d:ℂ)⁻¹ := by rw [mul_assoc, ← pow_two, inv_pow] have hs : (Real.sqrt d:ℂ)^2=(d:ℂ) := by norm_cast; exact Real.sq_sqrt (Nat.cast_nonneg _) rw [hs] rw [hc] have hp (r : Fin w.length) := ((IsMatrixPolynomial.word (jointMatrix_polynomial A) (w.take r.val)).trace.mul (IsMatrixPolynomial.word (jointMatrix_polynomial A) (w.drop (r.val+1))).trace).integrable rw [integral_finsetSum _ (fun r _ => by split_ifs <;> first | exact hp r | exact integrable_const 0)] rw [mul_sum] apply sum_congr rfl intro r _ split_ifs with h · simp only [matrixTraceWord] rw [← integral_const_mul] apply integral_congr_ae filter_upwards [] with x ring · simp end FiniteEntropySeparation end end OAI