Download lean/OAI/Probability/InvariantIsing/Gaussian/GaussianGramNormBound.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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curl -L -o GaussianGramNormBound.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/InvariantIsing/Gaussian/GaussianGramNormBound.lean
2.28 kB
| import OAI.Probability.InvariantIsing.Gaussian.GaussianNormMoments | |
| import OAI.Probability.InvariantIsing.Spectral.HermitianEigenvalueRoots | |
| import OAI.Probability.InvariantIsing.Pressure.RandomSpectralMeasurability | |
| namespace OAI | |
| /-! The actual Gram eigenvalues are bounded by the squared rectangular operator norm. -/ | |
| noncomputable section | |
| open Matrix | |
| open scoped Matrix.Norms.L2Operator | |
| namespace InvariantIsing | |
| lemma gaussianPatternCoupling_norm_le {N m : ℕ} (hN : 0 < N) | |
| (z : EuclideanSpace ℝ (Fin N × Fin m)) : | |
| ‖gaussianPatternCoupling 1 z‖ ≤ (gaussianPatternSingularMax z)^2/N := by | |
| have hN' : (0 : ℝ) < N := by exact_mod_cast hN | |
| have ht : ‖(gaussianPatternArray z)ᵀ‖ = ‖gaussianPatternArray z‖ := by | |
| simpa only [Matrix.conjTranspose_eq_transpose_of_trivial] using | |
| Matrix.l2_opNorm_conjTranspose (gaussianPatternArray z) | |
| have he : ‖gaussianPatternArray z‖ = gaussianPatternSingularMax z := rfl | |
| calc | |
| _ = |1/(N : ℝ)| * ‖gaussianPatternArray z*(gaussianPatternArray z)ᵀ‖ := by | |
| rw [gaussianPatternCoupling,norm_smul,Real.norm_eq_abs] | |
| _ ≤ (1/(N : ℝ))*(‖gaussianPatternArray z‖*‖gaussianPatternArray z‖) := by | |
| rw [abs_of_pos (one_div_pos.mpr hN')] | |
| exact mul_le_mul_of_nonneg_left ((Matrix.l2_opNorm_mul _ _).trans_eq (by rw [ht])) | |
| (by positivity) | |
| _ = _ := by rw [he]; ring | |
| lemma gaussianPatternEigenvalues_abs_le {N m : ℕ} (hN : 0 < N) | |
| (z : EuclideanSpace ℝ (Fin N × Fin m)) (i : Fin N) : | |
| |gaussianPatternEigenvalues z i| ≤ (gaussianPatternSingularMax z)^2/N := by | |
| apply le_trans _ (gaussianPatternCoupling_norm_le hN z) | |
| unfold gaussianPatternEigenvalues Matrix.IsHermitian.eigenvalues | |
| exact hermitian_eigenvalues₀_norm_le _ _ _ | |
| lemma gaussianPattern_spectralRadius_le {n m : ℕ} (c : ℝ) | |
| (z : EuclideanSpace ℝ (Fin (n+1) × Fin m)) : | |
| spectralRadius (fun i => c*gaussianPatternEigenvalues z i) ≤ | |
| |c| * (gaussianPatternSingularMax z)^2/(n+1) := by | |
| apply (spectralRadius_le_iff _ _).mpr | |
| intro i | |
| rw [abs_mul,mul_div_assoc] | |
| simpa only [Nat.cast_succ,Nat.cast_add,Nat.cast_one] using | |
| mul_le_mul_of_nonneg_left (gaussianPatternEigenvalues_abs_le (Nat.succ_pos n) z i) (abs_nonneg c) | |
| end InvariantIsing | |
| end | |
| end OAI | |