openAI-math-dataset / lean /OAI /Probability /Perceptron /Sphere /UnitSphereTangent.lean
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Add lean source and binary files (part 126)
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import Mathlib
import OAI.Probability.Perceptron.Sphere.SphereIsometryMap
import OAI.Probability.Perceptron.Variational.TensorFeatures
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology BigOperators
namespace SphericalPerceptronFreeEnergy
def unitSphereAmbientLaw (N : ℕ) : Measure (Spin N) :=
(unitSphereLaw N).map (fun x : NormalizedSpin N => x.val)
instance unitSphereAmbientLaw_probability (n : ℕ) : IsProbabilityMeasure (unitSphereAmbientLaw (n+1)) := by
unfold unitSphereAmbientLaw
apply (Measure.isProbabilityMeasure_map_iff measurable_subtype_coe.aemeasurable).2
have : NeZero ((volume : Measure (Spin (n+1))).toSphere) :=
⟨Measure.toSphere_ne_zero volume⟩
unfold unitSphereLaw
infer_instance
lemma unitSphereAmbientLaw_norm (N : ℕ) : ∀ᵐ x ∂unitSphereAmbientLaw N, ‖x‖=1 := by
apply (ae_map_iff measurable_subtype_coe.aemeasurable (measurableSet_eq_fun continuous_norm.measurable measurable_const)).mpr
exact ae_of_all _ fun x => by simpa only [Metric.mem_sphere,dist_zero_right] using x.property
lemma unitSphereAmbientLaw_preserving {N : ℕ} (e : Spin N≃ₗᵢ[ℝ]Spin N) :
MeasurePreserving e (unitSphereAmbientLaw N) (unitSphereAmbientLaw N) := by
refine ⟨e.continuous.measurable,?_⟩
rw [unitSphereAmbientLaw,Measure.map_map e.continuous.measurable measurable_subtype_coe]
have he : e ∘ (fun x : NormalizedSpin N => x.val) =
(fun x : NormalizedSpin N => x.val) ∘ sphereIsometryMap e := rfl
rw [he,← Measure.map_map measurable_subtype_coe (sphereIsometryMap_measurable e),
(unitSphereLaw_isometry_preserving e).map_eq]
lemma unitSphere_tangent_integral (n : ℕ) (y : Spin (n+1)) {F : Spin (n+1)→ℝ}
(hF : ContDiff ℝ 1 F) :
(∫ x : NormalizedSpin (n+1), fderiv ℝ F x.val (y-inner ℝ y x.val • x.val) ∂unitSphereLaw (n+1)) =
(n:ℝ)*(∫ x : NormalizedSpin (n+1), inner ℝ y x.val*F x.val ∂unitSphereLaw (n+1)) := by
have he := invariant_tangent_integral (unitSphereAmbientLaw (n+1))
((unitSphereAmbientLaw_norm (n+1)).mono fun _ h => h.le)
(fun e => unitSphereAmbientLaw_preserving e) (Fin (n+1))
(EuclideanSpace.basisFun (Fin (n+1)) ℝ) y hF
have hleft : AEStronglyMeasurable (fun x : Spin (n+1) => fderiv ℝ F x ((‖x‖^2) • y-inner ℝ y x • x))
(unitSphereAmbientLaw (n+1)) :=
((hF.continuous_fderiv (by norm_num)).clm_apply (by fun_prop)).aestronglyMeasurable
have hright : AEStronglyMeasurable (fun x : Spin (n+1) => ((Fintype.card (Fin (n+1)):ℝ)-1)*inner ℝ y x*F x)
(unitSphereAmbientLaw (n+1)) := (by fun_prop : Continuous _).aestronglyMeasurable
rw [unitSphereAmbientLaw,integral_map measurable_subtype_coe.aemeasurable hleft,
integral_map measurable_subtype_coe.aemeasurable hright] at he
have hn (x : NormalizedSpin (n+1)) : ‖x.val‖=1 := by
simpa only [Metric.mem_sphere,dist_zero_right] using x.property
simpa only [hn,one_pow,one_smul,Fintype.card_fin,Nat.cast_add,Nat.cast_one,
add_sub_cancel_right,mul_assoc,integral_const_mul] using he
lemma unitSphere_gibbs_tangent_integral (n : ℕ) (y : NormalizedSpin (n+1))
{H : Spin (n+1)→ℝ} (hH : ContDiff ℝ 1 H) {G : ℝ→ℝ} (hG : ContDiff ℝ 1 G) :
(n:ℝ)*(∫ x : NormalizedSpin (n+1), spinOverlap y x*(G (spinOverlap y x)*Real.exp (H x.val))
∂unitSphereLaw (n+1)) =
∫ x : NormalizedSpin (n+1),
(deriv G (spinOverlap y x)*(1-spinOverlap y x^2)+G (spinOverlap y x)*
fderiv ℝ H x.val (y.val-spinOverlap y x • x.val))*Real.exp (H x.val) ∂unitSphereLaw (n+1) := by
let F : Spin (n+1)→ℝ := fun x => G (inner ℝ y.val x)*Real.exp (H x)
have hF : ContDiff ℝ 1 F := (hG.comp (innerSL ℝ y.val).contDiff).mul hH.exp
change (n:ℝ)*(∫ x : NormalizedSpin (n+1), inner ℝ y.val x.val*F x.val ∂unitSphereLaw (n+1)) = _
rw [← unitSphere_tangent_integral n y.val hF]
apply integral_congr_ae
exact ae_of_all _ fun x => by
have hd := (((hG.differentiable (by norm_num) (inner ℝ y.val x.val)).hasDerivAt.comp_hasFDerivAt x.val
(innerSL ℝ y.val).hasFDerivAt).mul (hH.differentiable (by norm_num) x.val).hasFDerivAt.exp).fderiv
change fderiv ℝ F x.val (y.val-spinOverlap y x • x.val)=_
have he : fderiv ℝ F x.val = G (spinOverlap y x) • (Real.exp (H x.val) • fderiv ℝ H x.val)+
Real.exp (H x.val) • (deriv G (spinOverlap y x) • innerSL ℝ y.val) := by
simpa only [F,spinOverlap,Function.comp_def,Pi.mul_def] using hd
rw [he]
have hy : ‖y.val‖=1 := by simpa only [Metric.mem_sphere,dist_zero_right] using y.property
simp only [add_apply,smul_apply,smul_eq_mul,
coe_innerSL_apply,inner_sub_right,inner_smul_right,real_inner_self_eq_norm_sq,hy,one_pow,spinOverlap]
ring
end SphericalPerceptronFreeEnergy
end
end OAI