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Add lean source and binary files (part 126)
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import OAI.Probability.PosteriorReplicas.Measures.EqualLabelVersions
namespace OAI
open MeasureTheory ProbabilityTheory Set Filter
open scoped ENNReal NNReal Topology
noncomputable section
namespace PosteriorReplicas
def equalReference {d k m : ℕ} (ν : Measure (Vec d)) : Measure (EqualSpace d k m) :=
((Measure.pi (fun _ : Fin (m+1) => ν)).prod (gaussianRows d k)).map rightBasePoint
instance {d k m : ℕ} (ν : Measure (Vec d)) [IsProbabilityMeasure ν] :
IsProbabilityMeasure (equalReference (k := k) (m := m) ν) := by
unfold equalReference
infer_instance
instance {d k m : ℕ} (ν : Measure (Vec d)) [IsFiniteMeasure ν] :
IsFiniteMeasure (equalReference (k := k) (m := m) ν) := by
unfold equalReference
infer_instance
def replicaDensity {d k m : ℕ} (base : BaseLaw) (f : Vec d → ℝ≥0∞)
(z : EqualSpace d k m) : ℝ≥0∞ :=
equalConstant k m * (ENNReal.ofReal (affineVolume z.2.2))⁻¹ ^ k *
(projectedDensity base f z.1 z.2.1)⁻¹ ^ m
@[fun_prop] lemma measurable_replicaDensity {d k m : ℕ} (base : BaseLaw)
{f : Vec d → ℝ≥0∞} (hf : Measurable f) : Measurable (@replicaDensity d k m base f) := by
unfold replicaDensity
fun_prop
def replicaLaw {d k m : ℕ} (base : BaseLaw) (f : Vec d → ℝ≥0∞) : Measure (EqualSpace d k m) :=
(equalReference ((base.measure d).withDensity f)).withDensity (replicaDensity base f)
lemma equalReference_lintegral {d k m : ℕ} (ν : Measure (Vec d)) [IsFiniteMeasure ν]
{H : EqualSpace d k m → ℝ≥0∞} (hH : Measurable H) :
∫⁻ z, H z ∂equalReference ν = ∫⁻ u : Tuple d m, ∫⁻ A,
H (residualRows u A, labels (residualRows u A) (u 0), u) ∂gaussianRows d k
∂Measure.pi (fun _ => ν) := by
rw [equalReference, lintegral_map hH measurable_rightBasePoint,
lintegral_prod _ (show AEMeasurable (fun z => H (rightBasePoint z)) _ from
(hH.comp measurable_rightBasePoint).aemeasurable)]
rfl
lemma density_power_cancel (m : ℕ) {a : ℝ≥0∞} (ha : a ≠ ∞) :
a^(m+1) * a⁻¹^m = a := by
by_cases h0 : a = 0
· simp [h0]
· rw [pow_succ, mul_comm (a^m) a, mul_assoc, ← mul_pow, ENNReal.mul_inv_cancel h0 ha,
one_pow, mul_one]
lemma replicaLaw_lintegral {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m)
(base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f)
{L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L)
{H : EqualSpace d k m → ℝ≥0∞} (hH : Measurable H) :
∫⁻ z, H z ∂replicaLaw base f =
∫⁻ A, ∫⁻ y, projectedDensity base f A y *
∫⁻ u, H (A,y,u) ∂Measure.pi (fun _ : Fin (m+1) => tiltedFiber base f A y)
∂volume ∂gaussianRows d k := by
let : NeZero d := ⟨by omega⟩
have := bounded_withDensity_finite (base.measure d) hLt hfL
have hG : Measurable (fun z : EqualSpace d k m =>
(projectedDensity base f z.1 z.2.1)⁻¹^m * H z) := by fun_prop
have he := equal_label_tilt_identity hd hk hm base hf hLt hfL hG
rw [equalLabelRight_residual (by omega) (by omega) base hf hLt hfL hG] at he
have hrep : (∫⁻ z, H z ∂replicaLaw base f) = equalLabelLeft base f
(fun z : EqualSpace d k m => (projectedDensity base f z.1 z.2.1)⁻¹^m * H z) := by
rw [he]
rw [replicaLaw, lintegral_withDensity_eq_lintegral_mul _ (measurable_replicaDensity base hf) hH]
simp only [Pi.mul_apply]
rw [equalReference_lintegral (base.measure d |>.withDensity f) (by fun_prop)]
unfold replicaDensity
simp only
rw [← lintegral_const_mul _ (show Measurable (fun u : Tuple d m =>
(ENNReal.ofReal (affineVolume u))⁻¹^k *
∫⁻ A, (projectedDensity base f (residualRows u A)
(labels (residualRows u A) (u 0)))⁻¹^m *
H (residualRows u A, labels (residualRows u A) (u 0), u) ∂gaussianRows d k) by
unfold residualRows; fun_prop)]
apply lintegral_congr
intro u
rw [← mul_assoc, ← lintegral_const_mul _ (show Measurable (fun A =>
(projectedDensity base f (residualRows u A)
(labels (residualRows u A) (u 0)))⁻¹^m *
H (residualRows u A, labels (residualRows u A) (u 0), u)) by unfold residualRows; fun_prop)]
apply lintegral_congr
intro A
ring
rw [hrep]
unfold equalLabelLeft
apply lintegral_congr
intro A
apply lintegral_congr
intro y
dsimp only
rw [lintegral_const_mul _ (show Measurable (fun u : Tuple d m => H (A,y,u)) by fun_prop),
← mul_assoc, density_power_cancel m (projectedDensity_ne_top base hLt hfL A y)]
lemma lintegral_projectedDensity {d k : ℕ} {A : Rows d k} (hA : LinearIndependent ℝ A)
(hk : k < d) (base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f) :
(∫⁻ y, projectedDensity base f A y) = (base.measure d).withDensity f univ := by
have h := congrArg (fun μ : Measure (Labels k) => μ univ) (projected_measure hA hk base hf)
rw [Measure.map_apply (by unfold labels; fun_prop) MeasurableSet.univ,
preimage_univ, withDensity_apply _ MeasurableSet.univ, Measure.restrict_univ] at h
simpa only [withDensity_apply _ MeasurableSet.univ, Measure.restrict_univ] using h.symm
lemma replicaLaw_mass {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m)
(base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f)
{L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L) :
replicaLaw (k := k) (m := m) base f univ = (base.measure d).withDensity f univ := by
rw [← lintegral_one, replicaLaw_lintegral hd hk hm base hf hLt hfL measurable_const]
have (A : Rows d k) (y : Labels k) := tiltedFiber_probability base hLt hfL A y
simp only [lintegral_one, measure_univ, mul_one]
calc
_ = ∫⁻ (_ : Rows d k), (base.measure d).withDensity f univ ∂gaussianRows d k := by
apply lintegral_congr_ae
filter_upwards [ae_gaussian_rows_full_rank (by omega : 3 ≤ d) (by omega : k < d)] with A hA
exact lintegral_projectedDensity hA (by omega) base hf
_ = _ := by simp
lemma replicaLaw_probability {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m)
(base : BaseLaw) {f : Vec d → ℝ≥0∞} (hf : Measurable f)
{L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L)
[IsProbabilityMeasure ((base.measure d).withDensity f)] :
IsProbabilityMeasure (replicaLaw (k := k) (m := m) base f) := by
constructor
rw [replicaLaw_mass hd hk hm base hf hLt hfL, measure_univ]
end PosteriorReplicas
end
end OAI