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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