Download lean/OAI/Analysis/CoulombIonization/Localization/Cut.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 8.59 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Analysis/CoulombIonization/Localization/Cut.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Analysis/CoulombIonization/Localization/Cut.lean
-
curl -L -o Cut.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Analysis/CoulombIonization/Localization/Cut.lean
8.59 kB
| import Mathlib | |
| import OAI.Analysis.CoulombIonization.Fermionic.Basis | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory Filter | |
| open scoped Topology BigOperators ContDiff | |
| open MeasureTheory Filter Complex TopologicalSpace | |
| open scoped Topology InnerProductSpace ENNReal | |
| open MeasureTheory Filter Complex | |
| open scoped Topology BigOperators ComplexConjugate FourierTransform SchwartzMap ENNReal | |
| namespace CoulombPackets | |
| variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] | |
| [FiniteDimensional ℝ V] [MeasurableSpace V] [BorelSpace V] | |
| section Cut | |
| variable {α : Type*} [MeasurableSpace α] {μ : Measure α} | |
| def cutLinear (s : Set α) (hs : MeasurableSet s) : Lp ℂ 2 μ →ₗ[ℂ] Lp ℂ 2 μ where | |
| toFun u := ((Lp.memLp u).indicator hs).toLp _ | |
| map_add' u v := by | |
| apply Lp.ext | |
| filter_upwards [((Lp.memLp (u+v)).indicator hs).coeFn_toLp, | |
| ((Lp.memLp u).indicator hs).coeFn_toLp, ((Lp.memLp v).indicator hs).coeFn_toLp, | |
| Lp.coeFn_add (((Lp.memLp u).indicator hs).toLp _) | |
| (((Lp.memLp v).indicator hs).toLp _), Lp.coeFn_add u v] with x h1 h2 h3 h4 h5 | |
| simp only [h1, h4, Pi.add_apply, h2, h3] | |
| by_cases hx : x ∈ s | |
| · simpa only [Set.indicator_of_mem hx, Pi.add_apply] using h5 | |
| · simp only [Set.indicator_of_notMem hx, add_zero] | |
| map_smul' c u := by | |
| apply Lp.ext | |
| filter_upwards [((Lp.memLp (c • u)).indicator hs).coeFn_toLp, | |
| ((Lp.memLp u).indicator hs).coeFn_toLp, | |
| Lp.coeFn_smul c (((Lp.memLp u).indicator hs).toLp _), Lp.coeFn_smul c u] | |
| with x h1 h2 h3 h4 | |
| simp only [RingHom.id_apply, h1, h3, Pi.smul_apply, h2] | |
| by_cases hx : x ∈ s | |
| · simpa only [Set.indicator_of_mem hx, Pi.smul_apply] using h4 | |
| · simp only [Set.indicator_of_notMem hx, smul_zero] | |
| lemma cutLinear_norm_le (s : Set α) (hs : MeasurableSet s) (u : Lp ℂ 2 μ) : | |
| ‖cutLinear (μ := μ) s hs u‖ ≤ ‖u‖ := by | |
| apply Lp.norm_le_norm_of_ae_le | |
| filter_upwards [((Lp.memLp u).indicator hs).coeFn_toLp] with x hx | |
| change ‖((Lp.memLp u).indicator hs).toLp _ x‖ ≤ _ | |
| rw [hx] | |
| by_cases h : x ∈ s <;> simp [h] | |
| def cut (s : Set α) (hs : MeasurableSet s) : Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ := | |
| (cutLinear s hs).mkContinuous 1 (fun u => by simpa using cutLinear_norm_le s hs u) | |
| lemma cut_norm_sq (s : Set α) (hs : MeasurableSet s) (u : Lp ℂ 2 μ) : | |
| ‖cut (μ := μ) s hs u‖^2 = ∫ x in s, ‖u x‖^2 ∂μ := by | |
| rw [l2_norm_sq, ← integral_indicator hs] | |
| apply integral_congr_ae | |
| filter_upwards [((Lp.memLp u).indicator hs).coeFn_toLp] with x hx | |
| change ‖((Lp.memLp u).indicator hs).toLp _ x‖^2 = _ | |
| rw [hx] | |
| by_cases h : x ∈ s <;> simp [h] | |
| end Cut | |
| open scoped InnerProductSpace | |
| def selectedFrame (g : 𝓢(V, ℝ)) (s : Set (V × V)) (hs : MeasurableSet s) : | |
| Lp ℂ 2 (volume : Measure V) →L[ℂ] | |
| Lp ℂ 2 ((volume : Measure V).prod (volume : Measure V)) := | |
| cut s hs ∘L frame g | |
| def densityMatrix (g : 𝓢(V, ℝ)) (s : Set (V × V)) (hs : MeasurableSet s) : | |
| Lp ℂ 2 (volume : Measure V) →L[ℂ] Lp ℂ 2 (volume : Measure V) := | |
| (selectedFrame g s hs).adjoint ∘L selectedFrame g s hs | |
| lemma densityMatrix_positive (g : 𝓢(V, ℝ)) (s : Set (V × V)) (hs : MeasurableSet s) : | |
| (densityMatrix g s hs).IsPositive := | |
| ContinuousLinearMap.isPositive_adjoint_comp_self _ | |
| lemma selectedFrame_norm_le (g : 𝓢(V, ℝ)) (hg : ∫ x : V, g x^2 = 1) | |
| (s : Set (V × V)) (hs : MeasurableSet s) (u : Lp ℂ 2 (volume : Measure V)) : | |
| ‖selectedFrame g s hs u‖ ≤ ‖u‖ := by | |
| change ‖cut s hs (frame g u)‖ ≤ _ | |
| exact (cutLinear_norm_le s hs (frame g u)).trans (frame_norm g hg u).le | |
| lemma densityMatrix_le_one (g : 𝓢(V, ℝ)) (hg : ∫ x : V, g x^2 = 1) | |
| (s : Set (V × V)) (hs : MeasurableSet s) : | |
| (1 - densityMatrix g s hs).IsPositive := by | |
| refine ⟨ContinuousLinearMap.isPositive_one.isSymmetric.sub | |
| (densityMatrix_positive g s hs).isSymmetric, fun u => ?_⟩ | |
| change 0 ≤ (inner ℂ ((1 - densityMatrix g s hs) u) u).re | |
| rw [sub_apply, one_apply_eq_self, inner_sub_left, | |
| Complex.sub_re, inner_self_eq_norm_sq_to_K] | |
| simp only [← RCLike.ofReal_pow] | |
| change 0 ≤ ‖u‖^2 - (inner ℂ (densityMatrix g s hs u) u).re | |
| rw [show (inner ℂ (densityMatrix g s hs u) u).re = ‖selectedFrame g s hs u‖^2 from | |
| (ContinuousLinearMap.apply_norm_sq_eq_inner_adjoint_left (selectedFrame g s hs) u).symm] | |
| exact sub_nonneg.mpr (pow_le_pow_left₀ (norm_nonneg _) (selectedFrame_norm_le g hg s hs u) 2) | |
| lemma densityMatrix_schwartz_form (g : 𝓢(V, ℝ)) (hg : ∫ x : V, g x^2 = 1) | |
| (s : Set (V × V)) (hs : MeasurableSet s) (v : 𝓢(V, ℂ)) : | |
| (inner ℂ (densityMatrix g s hs (v.toLp 2 volume)) (v.toLp 2 volume)).re = | |
| ∫ p in s, ‖frameFunction g v p‖^2 ∂((volume : Measure V).prod volume) := by | |
| rw [show (inner ℂ (densityMatrix g s hs (v.toLp 2 volume)) (v.toLp 2 volume)).re = | |
| ‖selectedFrame g s hs (v.toLp 2 volume)‖^2 from | |
| (ContinuousLinearMap.apply_norm_sq_eq_inner_adjoint_left (selectedFrame g s hs) (v.toLp 2 volume)).symm] | |
| change ‖cut s hs (frame g (v.toLp 2 volume))‖^2 = _ | |
| rw [frame_toLp g hg, cut_norm_sq] | |
| apply integral_congr_ae | |
| filter_upwards [ae_restrict_of_ae (frameFunction_memLp g v).coeFn_toLp] with p hp | |
| change ‖(frameFunction_memLp g v).toLp _ p‖^2 = _ | |
| rw [hp] | |
| def packetFunction (g : 𝓢(V, ℝ)) (p : V × V) (x : V) : ℂ := | |
| conj ((Real.fourierChar (-inner ℝ x p.2) : Circle) : ℂ) * (g (x-p.1) : ℂ) | |
| omit [FiniteDimensional ℝ V] [MeasurableSpace V] [BorelSpace V] in | |
| lemma packetFunction_norm (g : 𝓢(V, ℝ)) (p : V × V) (x : V) : | |
| ‖packetFunction g p x‖ = ‖g (x-p.1)‖ := by | |
| simp [packetFunction, Circle.norm_coe] | |
| lemma packetFunction_memLp (g : 𝓢(V, ℝ)) (p : V × V) : | |
| MemLp (packetFunction g p) 2 (volume : Measure V) := by | |
| have h : Continuous (packetFunction g p) := by | |
| unfold packetFunction | |
| fun_prop | |
| exact ((g.compSubConstCLM ℝ p.1).memLp 2 volume).congr_norm h.aestronglyMeasurable | |
| (Filter.Eventually.of_forall fun x => by | |
| simpa only [SchwartzMap.compSubConstCLM_apply] using (packetFunction_norm g p x).symm) | |
| def packet (g : 𝓢(V, ℝ)) (p : V × V) : Lp ℂ 2 (volume : Measure V) := | |
| (packetFunction_memLp g p).toLp _ | |
| lemma packet_norm_sq (g : 𝓢(V, ℝ)) (p : V × V) : | |
| ‖packet g p‖^2 = ∫ x : V, g x^2 := by | |
| rw [l2_norm_sq] | |
| calc | |
| _ = ∫ x : V, g (x-p.1)^2 := by | |
| apply integral_congr_ae | |
| filter_upwards [(packetFunction_memLp g p).coeFn_toLp] with x hx | |
| change ‖(packetFunction_memLp g p).toLp _ x‖^2 = _ | |
| rw [hx, packetFunction_norm, Real.norm_eq_abs, sq_abs] | |
| _ = _ := integral_sub_right_eq_self (fun x : V => g x^2) p.1 | |
| lemma packet_frameFunction (g : 𝓢(V, ℝ)) (p : V × V) (v : 𝓢(V, ℂ)) : | |
| inner ℂ (packet g p) (v.toLp 2 volume) = frameFunction g v p := by | |
| rw [L2.inner_def] | |
| simp only [frameFunction, SchwartzMap.fourier_coe, Real.fourier_eq] | |
| apply integral_congr_ae | |
| filter_upwards [(packetFunction_memLp g p).coeFn_toLp, v.coeFn_toLp 2 volume] with x h1 h2 | |
| change inner ℂ ((packetFunction_memLp g p).toLp _ x) _ = _ | |
| rw [h1, h2, RCLike.inner_apply, packetFunction, windowed_apply] | |
| simp only [map_mul, Complex.conj_conj, Complex.conj_ofReal, Circle.smul_def, smul_eq_mul] | |
| ring | |
| lemma frame_ae_packet (g : 𝓢(V, ℝ)) (hg : ∫ x : V, g x^2 = 1) | |
| (v : Lp ℂ 2 (volume : Measure V)) : | |
| (frame g v : V × V → ℂ) =ᵐ[(volume : Measure V).prod volume] | |
| fun p => inner ℂ (packet g p) v := by | |
| have hd := SchwartzMap.denseRange_toLpCLM (μ := (volume : Measure V)) | |
| (F := ℂ) (p := 2) ENNReal.ofNat_ne_top | |
| obtain ⟨u, hu, hv⟩ := mem_closure_iff_seq_limit.1 (hd v) | |
| choose w hw using hu | |
| have hfr := (frame g).continuous.tendsto v |>.comp hv | |
| obtain ⟨ns, hns, hae⟩ := (tendstoInMeasure_of_tendsto_Lp hfr).exists_seq_tendsto_ae | |
| have heq (n : ℕ) : (frame g (u n) : V × V → ℂ) =ᵐ[(volume : Measure V).prod volume] | |
| fun p => inner ℂ (packet g p) (u n) := by | |
| rw [← hw n, SchwartzMap.toLpCLM_apply, frame_toLp g hg] | |
| filter_upwards [(frameFunction_memLp g (w n)).coeFn_toLp] with p hp | |
| exact hp.trans (packet_frameFunction g p (w n)).symm | |
| filter_upwards [hae, ae_all_iff.2 heq] with p hp hp' | |
| have hlim : Tendsto (fun n => inner ℂ (packet g p) (u (ns n))) atTop | |
| (𝓝 (inner ℂ (packet g p) v)) := tendsto_const_nhds.inner (hv.comp hns.tendsto_atTop) | |
| exact tendsto_nhds_unique (hp.congr' (Filter.Eventually.of_forall fun n => hp' (ns n))) hlim | |
| end CoulombPackets | |
| end | |
| end OAI | |