openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Spectral /PositiveResolventSpectrum.lean
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2.47 kB
| import OAI.Probability.InvariantIsing.Gaussian.HermitianGaussianQuadratic | |
| import OAI.Probability.InvariantIsing.Gaussian.GaussianGramResolvent | |
| namespace OAI | |
| /-! Spectral bounds for the positive resolvents occurring after deletion of a column. -/ | |
| noncomputable section | |
| open Matrix | |
| open scoped BigOperators RealInnerProductSpace | |
| namespace InvariantIsing | |
| def positiveResolvent {N : ℕ} (t : ℝ) (B : Matrix (Fin N) (Fin N) ℝ) : Matrix (Fin N) (Fin N) ℝ := | |
| (t • (1 : Matrix (Fin N) (Fin N) ℝ)+B)⁻¹ | |
| lemma positiveResolvent_posDef {N : ℕ} {t : ℝ} (ht : 0 < t) | |
| {B : Matrix (Fin N) (Fin N) ℝ} (hB : B.PosSemidef) : (positiveResolvent t B).PosDef := | |
| ((Matrix.PosDef.one.smul ht).add_posSemidef hB).inv | |
| lemma positiveResolvent_eigenvalues {N : ℕ} {t : ℝ} (ht : 0 < t) | |
| {B : Matrix (Fin N) (Fin N) ℝ} (hB : B.PosSemidef) (i : Fin N) : | |
| 0 ≤ (positiveResolvent_posDef ht hB).isHermitian.eigenvalues i ∧ | |
| (positiveResolvent_posDef ht hB).isHermitian.eigenvalues i ≤ 1/t := by | |
| let R := positiveResolvent t B | |
| let hR : R.PosDef := positiveResolvent_posDef ht hB | |
| let u := hR.isHermitian.eigenvectorBasis i | |
| let a := hR.isHermitian.eigenvalues i | |
| have hu : u.ofLp ⬝ᵥ u.ofLp = 1 := by | |
| change ⟪u,u⟫ = 1 | |
| rw [real_inner_self_eq_norm_sq] | |
| simp only [u,hR.isHermitian.eigenvectorBasis.orthonormal.1 i,one_pow] | |
| have ha : 0 ≤ a := by | |
| dsimp only [a] | |
| rw [hR.isHermitian.eigenvalues_eq] | |
| simpa only [star_trivial,RCLike.re_to_real] using hR.posSemidef.dotProduct_mulVec_nonneg u.ofLp | |
| have hq : 0 ≤ u.ofLp ⬝ᵥ (B *ᵥ u.ofLp) := by | |
| simpa only [star_trivial] using hB.dotProduct_mulVec_nonneg u.ofLp | |
| have hinv : (t • (1 : Matrix (Fin N) (Fin N) ℝ)+B)*R = 1 := | |
| Matrix.mul_nonsing_inv _ (isUnit_iff_ne_zero.mpr | |
| (((Matrix.PosDef.one.smul ht).add_posSemidef hB).det_pos.ne')) | |
| have heig : R *ᵥ u.ofLp = a • u.ofLp := hR.isHermitian.mulVec_eigenvectorBasis i | |
| have hh : (t • (1 : Matrix (Fin N) (Fin N) ℝ)+B) *ᵥ (R *ᵥ u.ofLp) = u.ofLp := by | |
| rw [Matrix.mulVec_mulVec,hinv,Matrix.one_mulVec] | |
| rw [heig,Matrix.mulVec_smul,Matrix.add_mulVec,Matrix.smul_mulVec,Matrix.one_mulVec] at hh | |
| have hd := congrArg (fun y => u.ofLp ⬝ᵥ y) hh | |
| rw [dotProduct_smul,dotProduct_add,dotProduct_smul,hu] at hd | |
| simp only [smul_eq_mul,mul_one] at hd | |
| constructor | |
| · exact ha | |
| · apply (le_div_iff₀ ht).mpr | |
| nlinarith [mul_nonneg ha hq] | |
| end InvariantIsing | |
| end | |
| end OAI | |