Download lean/OAI/Probability/InvariantIsing/Haar/HaarHeatMixing.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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curl -L -o HaarHeatMixing.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/InvariantIsing/Haar/HaarHeatMixing.lean
2.77 kB
| import OAI.Probability.InvariantIsing.Haar.HaarHeatOscillation | |
| import OAI.Probability.InvariantIsing.Haar.HaarHeatMean | |
| import OAI.Probability.InvariantIsing.Haar.HaarHeatOrder | |
| namespace OAI | |
| /-! Convergence of the actual orthogonal polynomial heat flow to its Haar mean. -/ | |
| noncomputable section | |
| open Matrix MvPolynomial MeasureTheory Filter | |
| open scoped Topology | |
| namespace InvariantIsing | |
| theorem haarPolynomialHeat_tendsto_mean {N d : ℕ} (hN : 3 ≤ N) | |
| (μ : Measure (SpecialOrthogonal N)) [IsProbabilityMeasure μ] [μ.IsMulLeftInvariant] | |
| (p : haarPolynomialSpace N d) (U : SpecialOrthogonal N) : | |
| Tendsto (fun t : ℝ => haarPolynomialValue | |
| ((haarPolynomialHeat N d t p : haarPolynomialSpace N d) : MatrixPolynomial N) U) | |
| atTop (𝓝 (∫ V, haarPolynomialValue (p : MatrixPolynomial N) V ∂μ)) := by | |
| let u (t : ℝ) (V : SpecialOrthogonal N) := haarPolynomialValue | |
| ((haarPolynomialHeat N d t p : haarPolynomialSpace N d) : MatrixPolynomial N) V | |
| obtain ⟨B,hB⟩ := haarPolynomialValue_bound (p : MatrixPolynomial N) | |
| have hub (t : ℝ) (ht : 0 ≤ t) (V : SpecialOrthogonal N) : |u t V| ≤ B := by | |
| apply abs_le.mpr | |
| apply haarPolynomialHeat_bounds p (-B) B | |
| · intro W | |
| exact (abs_le.mp (hB W)).1 | |
| · intro W | |
| exact (abs_le.mp (hB W)).2 | |
| · exact ht | |
| have hlim : Tendsto (fun t : ℝ => ∫ V, u t V-u t U ∂μ) atTop (𝓝 0) := by | |
| have h := tendsto_integral_filter_of_dominated_convergence | |
| (μ := μ) (l := atTop) (F := fun t V => u t V-u t U) (f := fun _ => (0:ℝ)) (fun _ => 2*B) | |
| simp only [integral_zero] at h | |
| apply h | |
| · exact Eventually.of_forall fun t => | |
| ((continuous_haarPolynomialValue _).sub continuous_const).measurable.aestronglyMeasurable | |
| · filter_upwards [eventually_ge_atTop (0:ℝ)] with t ht | |
| exact ae_of_all μ fun V => by | |
| rw [Real.norm_eq_abs] | |
| exact (abs_sub _ _).trans (by linarith [hub t ht V,hub t ht U]) | |
| · exact integrable_const _ | |
| · exact ae_of_all μ fun V => haarPolynomialHeat_difference_tendsto hN p V U | |
| have he (t : ℝ) : (∫ V, u t V-u t U ∂μ) = | |
| (∫ V, haarPolynomialValue (p : MatrixPolynomial N) V ∂μ)-u t U := by | |
| rw [integral_sub (haarPolynomialValue_integrable _ μ) (integrable_const _), | |
| integral_const,probReal_univ,smul_eq_mul,one_mul] | |
| rw [haarPolynomialHeat_mean] | |
| simp_rw [he] at hlim | |
| have hh : Tendsto (fun t : ℝ => (∫ V, haarPolynomialValue (p : MatrixPolynomial N) V ∂μ)- | |
| ((∫ V, haarPolynomialValue (p : MatrixPolynomial N) V ∂μ)-u t U)) atTop | |
| (𝓝 ((∫ V, haarPolynomialValue (p : MatrixPolynomial N) V ∂μ)-0)) := | |
| tendsto_const_nhds.sub hlim | |
| simpa only [sub_sub_cancel,sub_zero] using hh | |
| end InvariantIsing | |
| end | |
| end OAI | |