Download lean/OAI/Probability/LogConcave/LowerBounds/RotationIsometry.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 10.5 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/LogConcave/LowerBounds/RotationIsometry.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/LogConcave/LowerBounds/RotationIsometry.lean
-
curl -L -o RotationIsometry.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/LogConcave/LowerBounds/RotationIsometry.lean
10.5 kB
| import Mathlib | |
| import OAI.Probability.LogConcave.LowerBounds.TranscriptRejection | |
| import OAI.Probability.LogConcave.Sampling.MapProdFiberLaw | |
| namespace OAI | |
| section | |
| section | |
| noncomputable section | |
| open MeasureTheory Filter | |
| open scoped ENNReal NNReal Topology | |
| section LowerProof | |
| open Matrix Topology TopologicalSpace ProbabilityTheory Classical WithLp | |
| open scoped Matrix.Norms.Elementwise | |
| namespace LogConcaveSampling.LowerBound | |
| open Matrix WithLp ProbabilityTheory | |
| open scoped RealInnerProductSpace | |
| def rotationIsometry {d : ℕ} (O : Rotations d) : Point d ≃ₗᵢ[ℝ] Point d := | |
| Unitary.linearIsometryEquiv | |
| (Unitary.map (StarMonoidHom.ofClass (Matrix.toEuclideanCLM (n := Fin d) (𝕜 := ℝ))) O) | |
| @[simp] theorem rotationIsometry_apply {d : ℕ} (O : Rotations d) (x : Point d) : | |
| rotationIsometry O x = toLp 2 ((O : Matrix (Fin d) (Fin d) ℝ) *ᵥ ofLp x) := rfl | |
| def rotationFromIsometry {d : ℕ} (T : Point d ≃ₗᵢ[ℝ] Point d) : Rotations d := | |
| Unitary.map (StarMonoidHom.ofClass | |
| (A := Point d →L[ℝ] Point d) (B := Matrix (Fin d) (Fin d) ℝ) | |
| ((Matrix.toEuclideanCLM (n := Fin d) (𝕜 := ℝ)).symm.toStarAlgHom)) | |
| (Unitary.linearIsometryEquiv.symm T) | |
| @[simp] theorem rotationIsometry_from {d : ℕ} (T : Point d ≃ₗᵢ[ℝ] Point d) : | |
| rotationIsometry (rotationFromIsometry T) = T := by | |
| apply Unitary.linearIsometryEquiv.symm.injective | |
| simp only [rotationIsometry, MulEquiv.symm_apply_apply] | |
| apply Subtype.ext | |
| change (Matrix.toEuclideanCLM (n := Fin d) (𝕜 := ℝ)) | |
| ((Matrix.toEuclideanCLM (n := Fin d) (𝕜 := ℝ)).symm (T : Point d →L[ℝ] Point d)) = _ | |
| exact (Matrix.toEuclideanCLM).apply_symm_apply _ | |
| @[simp] theorem rotationIsometry_mul {d : ℕ} (O P : Rotations d) (x : Point d) : | |
| rotationIsometry (O * P) x = rotationIsometry O (rotationIsometry P x) := by | |
| simp only [rotationIsometry_apply] | |
| change toLp 2 (((O : Matrix (Fin d) (Fin d) ℝ) * (P : Matrix (Fin d) (Fin d) ℝ)) *ᵥ ofLp x) = _ | |
| rw [← Matrix.mulVec_mulVec] | |
| @[fun_prop] theorem continuous_rotation_apply {d : ℕ} : | |
| Continuous (fun p : Rotations d × Point d => rotationIsometry p.1 p.2) := by | |
| simp only [rotationIsometry_apply] | |
| fun_prop | |
| theorem exists_rotation_of_norm_eq {d : ℕ} {x y : Point d} (h : ‖x‖ = ‖y‖) : | |
| ∃ P : Rotations d, rotationIsometry P x = y := by | |
| refine ⟨rotationFromIsometry (Submodule.reflection (ℝ ∙ (x-y))ᗮ), ?_⟩ | |
| rw [rotationIsometry_from, Submodule.reflection_sub h] | |
| instance rotationHaar_rightInvariant (d : ℕ) : (rotationHaar d).IsMulRightInvariant := by | |
| constructor | |
| intro P | |
| have : IsProbabilityMeasure ((rotationHaar d).map (· * P)) := | |
| inferInstance | |
| have h := Measure.isMulInvariant_eq_smul_of_compactSpace | |
| ((rotationHaar d).map (· * P)) (rotationHaar d) | |
| have hm := congrArg (fun μ : Measure (Rotations d) => μ Set.univ) h | |
| simp only [measure_univ, Measure.smul_apply, ENNReal.smul_def, smul_eq_mul, mul_one] at hm | |
| have hc : (((rotationHaar d).map (· * P)).haarScalarFactor (rotationHaar d)) = 1 := by | |
| exact ENNReal.coe_injective hm.symm | |
| rw [hc, one_smul] at h | |
| exact h | |
| theorem haar_orbit_eq {d : ℕ} {x y : Point d} (h : ‖x‖ = ‖y‖) : | |
| (rotationHaar d).map (fun O => rotationIsometry O x) = | |
| (rotationHaar d).map (fun O => rotationIsometry O y) := by | |
| obtain ⟨P, hP⟩ := exists_rotation_of_norm_eq h | |
| have hf : Measurable (fun O : Rotations d => rotationIsometry O x) := by fun_prop | |
| calc | |
| _ = ((rotationHaar d).map (· * P)).map (fun O => rotationIsometry O x) := by | |
| rw [map_mul_right_eq_self] | |
| _ = _ := by | |
| rw [Measure.map_map hf (by fun_prop)] | |
| congr 1 | |
| ext O | |
| simp only [Function.comp_apply, rotationIsometry_mul, hP] | |
| end LogConcaveSampling.LowerBound | |
| namespace LogConcaveSampling.LowerBound | |
| open ProbabilityTheory | |
| @[simp] theorem rotationIsometry_one {d : ℕ} (x : Point d) : | |
| rotationIsometry (1 : Rotations d) x = x := by | |
| simp [rotationIsometry_apply] | |
| @[simp] theorem rotationIsometry_inv_apply {d : ℕ} (O : Rotations d) (x : Point d) : | |
| rotationIsometry O⁻¹ x = (rotationIsometry O).symm x := by | |
| apply (rotationIsometry O).injective | |
| rw [← rotationIsometry_mul, mul_inv_cancel, rotationIsometry_one, | |
| LinearIsometryEquiv.apply_symm_apply] | |
| theorem haar_inverse_orbit_eq {d : ℕ} {x y : Point d} (h : ‖x‖ = ‖y‖) : | |
| (rotationHaar d).map (fun O => (rotationIsometry O).symm x) = | |
| (rotationHaar d).map (fun O => (rotationIsometry O).symm y) := by | |
| simp_rw [← rotationIsometry_inv_apply] | |
| obtain ⟨P, hP⟩ := exists_rotation_of_norm_eq h | |
| have hf : Measurable (fun O : Rotations d => rotationIsometry O⁻¹ x) := by fun_prop | |
| calc | |
| _ = ((rotationHaar d).map (P⁻¹ * ·)).map (fun O => rotationIsometry O⁻¹ x) := by | |
| rw [map_mul_left_eq_self] | |
| _ = _ := by | |
| rw [Measure.map_map hf (by fun_prop)] | |
| congr 1 | |
| ext O | |
| simp only [Function.comp_apply, _root_.mul_inv_rev, inv_inv, rotationIsometry_mul, hP] | |
| theorem gaussian_radius_haar_direction {d : ℕ} {w : Point d} (hw : ‖w‖ = 1) : | |
| ((rotationHaar d).prod (stdGaussian (Point d))).map | |
| (fun p => ‖p.2‖ • (rotationIsometry p.1).symm w) = stdGaussian (Point d) := by | |
| have hf : Measurable (fun p : Rotations d × Point d => | |
| ‖p.2‖ • (rotationIsometry p.1).symm w) := by | |
| simp_rw [← rotationIsometry_inv_apply] | |
| fun_prop | |
| have hg : Measurable (fun p : Rotations d × Point d => | |
| (rotationIsometry p.1).symm p.2) := by | |
| simp_rw [← rotationIsometry_inv_apply] | |
| fun_prop | |
| calc | |
| _ = ((rotationHaar d).prod (stdGaussian (Point d))).map | |
| (fun p => (rotationIsometry p.1).symm p.2) := by | |
| apply map_prod_eq_of_fiber_law hf hg | |
| intro y | |
| have hxy : ‖(‖y‖ • w)‖ = ‖y‖ := by simp [norm_smul, hw] | |
| have h := haar_inverse_orbit_eq hxy | |
| simpa only [map_smul] using h | |
| _ = _ := by | |
| apply map_prod_eq_of_constant_fiber_law hg | |
| intro O | |
| exact stdGaussian_map (rotationIsometry O).symm | |
| end LogConcaveSampling.LowerBound | |
| namespace LogConcaveSampling.LowerBound | |
| open scoped RealInnerProductSpace | |
| def vectorStabilizer {d : ℕ} (w : Point d) : Subgroup (Rotations d) where | |
| carrier := {O | rotationIsometry O w = w} | |
| one_mem' := rotationIsometry_one w | |
| mul_mem' := by | |
| intro O P hO hP | |
| simp only [Set.mem_ofPred_eq] at * | |
| rw [rotationIsometry_mul, hP, hO] | |
| inv_mem' := by | |
| intro O hO | |
| simp only [Set.mem_ofPred_eq] at * | |
| rw [rotationIsometry_inv_apply] | |
| exact (rotationIsometry O).symm_apply_eq.mpr hO.symm | |
| @[simp] theorem mem_vectorStabilizer {d : ℕ} (w : Point d) (O : Rotations d) : | |
| O ∈ vectorStabilizer w ↔ rotationIsometry O w = w := Iff.rfl | |
| theorem vectorStabilizer_isClosed {d : ℕ} (w : Point d) : | |
| IsClosed (vectorStabilizer w : Set (Rotations d)) := | |
| isClosed_eq (by fun_prop) continuous_const | |
| instance vectorStabilizer_compactSpace {d : ℕ} (w : Point d) : | |
| CompactSpace (vectorStabilizer w) := | |
| isCompact_iff_compactSpace.mp (vectorStabilizer_isClosed w).isCompact | |
| def vectorStabilizerHaar {d : ℕ} (w : Point d) : Measure (vectorStabilizer w) := | |
| Measure.haarMeasure (⟨⟨Set.univ, isCompact_univ⟩, by simp⟩ : | |
| PositiveCompacts (vectorStabilizer w)) | |
| instance vectorStabilizerHaar_probability {d : ℕ} (w : Point d) : | |
| IsProbabilityMeasure (vectorStabilizerHaar w) := by | |
| constructor | |
| exact Measure.haarMeasure_self | |
| instance vectorStabilizerHaar_isHaar {d : ℕ} (w : Point d) : | |
| (vectorStabilizerHaar w).IsHaarMeasure := by | |
| unfold vectorStabilizerHaar | |
| infer_instance | |
| def sphereSection {d : ℕ} (w v : Point d) : Rotations d := | |
| rotationFromIsometry (Submodule.reflection (ℝ ∙ (w-v))ᗮ) | |
| @[simp] theorem sphereSection_apply {d : ℕ} (w v x : Point d) : | |
| rotationIsometry (sphereSection w v) x = | |
| x - (2 * (inner ℝ (w-v) x / ‖w-v‖^2)) • (w-v) := by | |
| rw [sphereSection, rotationIsometry_from, Submodule.reflection_orthogonal_apply, | |
| Submodule.reflection_singleton_apply] | |
| simp only [neg_sub, two_smul, two_mul, add_smul, RCLike.ofReal_real_eq_id, id_eq] | |
| theorem sphereSection_sends {d : ℕ} {w v : Point d} (h : ‖w‖ = ‖v‖) : | |
| rotationIsometry (sphereSection w v) w = v := by | |
| rw [sphereSection, rotationIsometry_from] | |
| exact Submodule.reflection_sub h | |
| theorem rotation_entry_eq {d : ℕ} (O : Rotations d) (i j : Fin d) : | |
| (O : Matrix (Fin d) (Fin d) ℝ) i j = | |
| (rotationIsometry O (EuclideanSpace.single j 1)) i := by | |
| simp [rotationIsometry_apply, EuclideanSpace.single] | |
| @[fun_prop] theorem measurable_sphereSection {d : ℕ} : | |
| Measurable (fun p : Point d × Point d => sphereSection p.1 p.2) := by | |
| let : MeasurableSpace (Matrix (Fin d) (Fin d) ℝ) := | |
| inferInstanceAs (MeasurableSpace (Fin d → Fin d → ℝ)) | |
| let : BorelSpace (Matrix (Fin d) (Fin d) ℝ) := | |
| inferInstanceAs (BorelSpace (Fin d → Fin d → ℝ)) | |
| have he : IsClosedEmbedding (fun O : Rotations d => (O : Matrix (Fin d) (Fin d) ℝ)) := | |
| (isClosed_unitary (R := Matrix (Fin d) (Fin d) ℝ)).isClosedEmbedding_subtypeVal | |
| apply he.measurableEmbedding.measurable_comp_iff.mp | |
| apply Measurable.of_eval | |
| intro i | |
| apply Measurable.of_eval | |
| intro j | |
| change Measurable (fun p : Point d × Point d => | |
| (sphereSection p.1 p.2 : Matrix (Fin d) (Fin d) ℝ) i j) | |
| simp_rw [rotation_entry_eq, sphereSection_apply] | |
| fun_prop | |
| @[fun_prop] theorem measurable_sphereSection_left {d : ℕ} (w : Point d) : | |
| Measurable (sphereSection w) := by | |
| have measurable_pair : Measurable (fun vector : Point d => (w, vector)) := | |
| measurable_const.prodMk measurable_id | |
| have measurable_composition : Measurable | |
| ((fun pair : Point d × Point d => sphereSection pair.1 pair.2) ∘ | |
| (fun vector : Point d => (w, vector))) := | |
| (measurable_sphereSection (d := d)).comp measurable_pair | |
| exact measurable_composition | |
| def sectionCocycle {d : ℕ} (w : Point d) (P : Rotations d) (v : Point d) | |
| (hv : ‖v‖ = ‖w‖) : vectorStabilizer w := | |
| ⟨(sphereSection w (rotationIsometry P v))⁻¹ * P * sphereSection w v, by | |
| apply (mem_vectorStabilizer _ _).mpr | |
| rw [rotationIsometry_mul, rotationIsometry_mul, sphereSection_sends hv.symm] | |
| rw [rotationIsometry_inv_apply] | |
| apply (rotationIsometry _).symm_apply_eq.mpr | |
| symm | |
| apply sphereSection_sends | |
| rw [LinearIsometryEquiv.norm_map, hv]⟩ | |
| end LogConcaveSampling.LowerBound | |
| end LowerProof | |
| end | |
| end | |
| end | |
| end OAI | |