roseking's picture
Add lean source and binary files (part 126)
a2ee19a verified
Raw History Blame Contribute Delete
6.31 kB
import OAI.Probability.ProjectionMoments.Frames
namespace OAI
section
open MeasureTheory ProbabilityTheory Set Filter InnerProductSpace
open scoped ENNReal NNReal RealInnerProductSpace Topology
noncomputable section
namespace ProjectionMoments
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
@[fun_prop] lemma measurable_coordinateMap (m : ℕ) :
Measurable (fun z : (Fin m → E) × E => coordinateMap z.1 z.2) := by
apply Measurable.of_eval
intro i
simp only [coordinateMap_apply]
fun_prop
def projectionKernel (ν : Measure E) [SFinite ν] (m : ℕ) : Kernel (Fin m → E) (Fin m → ℝ) where
toFun A := ν.map (coordinateMap A)
measurable' := by
apply Measure.measurable_of_measurable_coe
intro s hs
have he (A : Fin m → E) : (ν.map (coordinateMap A)) s =
∫⁻ x, s.indicator (fun _ => (1 : ℝ≥0∞)) (coordinateMap A x) ∂ν := by
rw [← lintegral_map (measurable_const.indicator hs) (by fun_prop)]
simp [lintegral_indicator hs]
simp_rw [he]
apply Measurable.lintegral_prod_right
exact (measurable_const.indicator hs).comp (measurable_coordinateMap m)
instance projectionKernel_finite (ν : Measure E) [IsFiniteMeasure ν] (m : ℕ) :
IsFiniteKernel (projectionKernel ν m) := by
refine ⟨ν Set.univ, measure_lt_top _ _, ?_⟩
intro A
change (ν.map (coordinateMap A)) Set.univ ≤ _
rw [Measure.map_apply (by fun_prop) MeasurableSet.univ, Set.preimage_univ]
lemma projectionKernel_compProd (ν : Measure E) [IsFiniteMeasure ν] (m : ℕ) :
(Measure.pi (fun _ : Fin m => stdGaussian E)) ⊗ₘ projectionKernel ν m =
NoiselessRegression.projectionLaw ν m := by
apply Measure.ext_of_lintegral
intro f hf
rw [Measure.lintegral_compProd hf, NoiselessRegression.projectionLaw,
lintegral_map hf (by fun_prop), lintegral_prod _ (by fun_prop)]
apply lintegral_congr
intro A
change (∫⁻ y, f (A,y) ∂ν.map (coordinateMap A)) = _
rw [lintegral_map (by fun_prop) (by fun_prop)]
congr 1
funext x
apply congrArg f
exact Prod.ext (by rfl) (funext fun i => coordinateMap_apply A x i)
lemma ae_projection_ac (ν : Measure E) [IsFiniteMeasure ν] (m : ℕ)
(h : NoiselessRegression.projectionLaw ν m ≪ NoiselessRegression.matrixLabelReference (E := E) m) :
∀ᵐ A : Fin m → E ∂Measure.pi (fun _ => stdGaussian E),
ν.map (coordinateMap A) ≪ (volume : Measure (Fin m → ℝ)) := by
let γ : Measure (Fin m → E) := Measure.pi (fun _ => stdGaussian E)
let η : Measure (Fin m → ℝ) := volume.toFinite
have hh : γ ⊗ₘ projectionKernel ν m ≪ γ ⊗ₘ Kernel.const (Fin m → E) η := by
rw [projectionKernel_compProd, Measure.compProd_const]
exact h.trans (Measure.AbsolutelyContinuous.refl γ |>.prod (absolutelyContinuous_toFinite volume))
filter_upwards [hh.kernel_of_compProd] with A hA
exact hA.trans (toFinite_absolutelyContinuous volume)
lemma sphere_ae_projection_ac [Nontrivial E] {m : ℕ} (hm : m+2 ≤ Module.finrank ℝ E) :
∀ᵐ A : Fin m → E ∂Measure.pi (fun _ => stdGaussian E),
NoiselessRegression.ambientSphereLaw.map (coordinateMap A) ≪ (volume : Measure (Fin m → ℝ)) := by
apply ae_projection_ac
apply NoiselessRegression.projectionLaw_absolutelyContinuous (a := m+1) (n := 1)
(C := ENNReal.ofReal ((3 : ℝ)*4^Module.finrank ℝ E))
· intro z r hr
exact NoiselessRegression.ambientSphereLaw_closedBall z hr (m+1) (by omega)
· positivity
· exact ENNReal.ofReal_ne_top
· exact NoiselessRegression.ambientSphereLaw_support.trans Metric.sphere_subset_closedBall
· omega
· omega
lemma linearEquiv_preserves_ac {m : ℕ} (T : (Fin m → ℝ) ≃L[ℝ] (Fin m → ℝ))
{μ : Measure (Fin m → ℝ)} (hμ : μ ≪ volume) : μ.map T ≪ volume := by
exact (T.toHomeomorph.toMeasurableEquiv.measurableEmbedding.absolutelyContinuous_map hμ).trans
(Measure.LinearMap.quasiMeasurePreserving volume T.toLinearEquiv.toLinearMap
(LinearEquiv.isUnit_det' T.toLinearEquiv).ne_zero).absolutelyContinuous
lemma sphere_projection_rotation [Nontrivial E] {m : ℕ} (O : Rotation E) (A : Fin m → E) :
NoiselessRegression.ambientSphereLaw.map (coordinateMap (rotateRows O A)) =
NoiselessRegression.ambientSphereLaw.map (coordinateMap A) := by
have hfun : (coordinateMap (rotateRows O A) : E → (Fin m → ℝ)) =
coordinateMap A ∘ (Unitary.linearIsometryEquiv O).symm :=
funext (coordinateMap_rotateRows O A)
rw [hfun, ← Measure.map_map (by fun_prop) (by fun_prop),
(NoiselessRegression.ambientSphereLaw_isometry (Unitary.linearIsometryEquiv O).symm).map_eq]
theorem sphere_frame_ac [Nontrivial E] {m : ℕ} (hm : m+2 ≤ Module.finrank ℝ E)
{u : Fin m → E} (hu : Orthonormal ℝ u) :
NoiselessRegression.ambientSphereLaw.map (coordinateMap u) ≪ (volume : Measure (Fin m → ℝ)) := by
obtain ⟨B,hB,hac⟩ := ((gaussian_rows_ae_linearIndependent m (by omega)).and
(sphere_ae_projection_ac hm)).exists
obtain ⟨v,hv,T,hT,hvol⟩ := rows_factor B hB
have he : (NoiselessRegression.ambientSphereLaw.map (coordinateMap B)).map T.symm =
NoiselessRegression.ambientSphereLaw.map (coordinateMap v) := by
rw [Measure.map_map (by fun_prop) (by fun_prop)]
congr 1
funext x
simp only [Function.comp_apply, hT, T.symm_apply_apply]
have hvac := linearEquiv_preserves_ac T.symm hac
rw [he] at hvac
obtain ⟨O,hO⟩ := rotation_transitive hv hu
have heu : rotateRows O v = u := funext hO
rw [← heu, sphere_projection_rotation]
exact hvac
theorem sphere_fullRank_ac [Nontrivial E] {m : ℕ} (hm : m+2 ≤ Module.finrank ℝ E)
{A : Fin m → E} (hA : LinearIndependent ℝ A) :
NoiselessRegression.ambientSphereLaw.map (coordinateMap A) ≪ (volume : Measure (Fin m → ℝ)) := by
obtain ⟨u,hu,T,hT,hvol⟩ := rows_factor A hA
have he : NoiselessRegression.ambientSphereLaw.map (coordinateMap A) =
(NoiselessRegression.ambientSphereLaw.map (coordinateMap u)).map T := by
rw [Measure.map_map (by fun_prop) (by fun_prop)]
congr 1
exact funext hT
rw [he]
exact linearEquiv_preserves_ac T (sphere_frame_ac hm hu)
end ProjectionMoments
end
end
end OAI