import OAI.Probability.InvariantIsing.Haar.HaarExponentialPolynomial import OAI.Probability.InvariantIsing.Haar.PositiveExponentialSum namespace OAI /-! Uniform logarithmic-gradient bounds for positive exponential truncations. -/ noncomputable section open Matrix MvPolynomial open scoped BigOperators namespace InvariantIsing lemma haarExpPolynomial_gamma {N : ℕ} (n : ℕ) (p : MatrixPolynomial N) : haarPolynomialGamma (haarExpPolynomial (n+1) p) (haarExpPolynomial (n+1) p) = (haarExpPolynomial n p)^2*haarPolynomialGamma p p := by simp only [haarPolynomialGamma,haarExpPolynomial_derivation,Finset.mul_sum] apply Finset.sum_congr rfl intro i _ apply Finset.sum_congr rfl intro j _ ring lemma haarExpPolynomial_positive {N : ℕ} (n : ℕ) (p : MatrixPolynomial N) (M : Matrix (Fin N) (Fin N) ℝ) (hp : 0 ≤ matrixPolynomialEval M p) : 1 ≤ matrixPolynomialEval M (haarExpPolynomial n p) := by rw [haarExpPolynomial_eval] exact positiveExpSum_one_le n hp lemma haarExpPolynomial_log_gradient_bound {N : ℕ} (n : ℕ) (p : MatrixPolynomial N) (M : Matrix (Fin N) (Fin N) ℝ) (hp : 0 ≤ matrixPolynomialEval M p) (C : ℝ) (hC : 0 ≤ C) (hG : matrixPolynomialEval M (haarPolynomialGamma p p) ≤ C) : matrixPolynomialEval M (haarPolynomialGamma (haarExpPolynomial (n+1) p) (haarExpPolynomial (n+1) p)) ≤ C*(matrixPolynomialEval M (haarExpPolynomial (n+1) p))^2 := by have h0 := haarExpPolynomial_positive n p M hp have h1 := haarExpPolynomial_positive (n+1) p M hp have hm : matrixPolynomialEval M (haarExpPolynomial n p) ≤ matrixPolynomialEval M (haarExpPolynomial (n+1) p) := by simp only [haarExpPolynomial_eval] exact positiveExpSum_mono n hp rw [haarExpPolynomial_gamma,map_mul,map_pow] calc _ ≤ (matrixPolynomialEval M (haarExpPolynomial n p))^2*C := mul_le_mul_of_nonneg_left hG (sq_nonneg _) _ ≤ C*(matrixPolynomialEval M (haarExpPolynomial (n+1) p))^2 := by rw [mul_comm _ C] exact mul_le_mul_of_nonneg_left ((sq_le_sq₀ (by linarith) (by linarith)).mpr hm) hC end InvariantIsing end end OAI