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Add lean source and binary files (part 126)
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import OAI.Probability.PosteriorReplicas.Geometry.DensityBinsGeometry
import OAI.Probability.PosteriorReplicas.Geometry.LabelConvolution
import OAI.Probability.PosteriorReplicas.Measures.ReferenceMoments
namespace OAI
open MeasureTheory ProbabilityTheory Set Matrix InnerProductSpace Filter Metric
open scoped ENNReal NNReal RealInnerProductSpace Topology
noncomputable section
namespace PosteriorReplicas
def expectedDensity {d k m : ℕ} (f : Vec d → ℝ≥0∞) (u : Tuple d m) : ℝ≥0∞ :=
∫⁻ A, projectedDensity .spherical f (residualRows u A)
(labels (residualRows u A) (u 0)) ∂gaussianRows d k
@[fun_prop] lemma measurable_expectedDensity {d k m : ℕ} {f : Vec d → ℝ≥0∞}
(hf : Measurable f) : Measurable (@expectedDensity d k m f) := by
unfold expectedDensity
fun_prop
def binEnvelope {d k : ℕ} (ν : Measure (Vec d)) (J : ℕ) (A : Rows d k) (y : Labels k) : ℝ≥0∞ :=
2 + ∑ j ∈ Finset.range J, ENNReal.ofReal ((2:ℝ)^(k*(j+1))) * ellipsoidMass ν A y ((1/2:ℝ)^j)
@[fun_prop] lemma measurable_binEnvelope {d k : ℕ} (ν : Measure (Vec d)) [SFinite ν] (J : ℕ) :
Measurable (fun z : Data d k => binEnvelope ν J z.1 z.2) := by
unfold binEnvelope
fun_prop
lemma ae_expectedDensity_le_inverse {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m)
{f : Vec d → ℝ≥0∞} (hf : Measurable f) {L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L) :
∀ᵐ u : Tuple d m ∂Measure.pi (fun _ => (sphereLaw d).withDensity f),
expectedDensity (k := k) f u ≤ ∫⁻ x, ENNReal.ofReal ((tupleDistance u x)⁻¹^k)
∂(sphereLaw d).withDensity f := by
let : NeZero d := ⟨by omega⟩
have : IsProbabilityMeasure (sphereLaw d) := by
change IsProbabilityMeasure (BaseLaw.spherical.measure d); infer_instance
have := bounded_withDensity_finite (sphereLaw d) hLt hfL
have h := (equalLabelVersions d k m hk hm (by omega) .spherical f hf ⟨L,hLt,hfL⟩).2.2.2.2
filter_upwards [h] with u hu
have hu' : LinearIndependent ℝ (differences u) := hu.1
have he : (fun A : Rows d k => residualRows u A) =
fun A i => (differenceSpan u)ᗮ.starProjection (A i) := by
funext A i
exact kernelComponent_eq_starProjection hu' _
have hv : (fun A : Rows d k => projectedDensity .spherical f A (labels A (u 0))) =ᵐ[constrainedRows k u]
(fun A => ballDensityVersion ((sphereLaw d).withDensity f) A (labels A (u 0))) := by
filter_upwards [hu.2] with A hA
exact hA.2.2.2.2.2.1
rw [constrainedRows_eq_residualRows hu'] at hv
have hv' := (ae_map_iff (show Measurable (residualRows u) by fun_prop).aemeasurable
(measurableSet_eq_fun (by unfold labels; fun_prop) (by unfold labels; fun_prop))).mp hv
unfold expectedDensity
rw [lintegral_congr_ae hv']
simp_rw [he]
apply expected_ballDensityVersion_le _ _ _
filter_upwards [tupleDistance_pos_ae (by omega) (by omega) u f] with x hx
exact norm_ne_zero_iff.mp (ne_of_gt hx)
lemma ae_constrainedRows_mem {d k m : ℕ} (u : Tuple d m) :
∀ᵐ A ∂constrainedRows k u, ∀ i, A i ∈ (differenceSpan u)ᗮ := by
unfold constrainedRows
have hp : MeasurableSet {A : Rows d k | ∀ i, A i ∈ (differenceSpan u)ᗮ} := by
rw [Set.ofPred_forall]
exact MeasurableSet.iInter (fun i => (differenceSpan u)ᗮ.closed_of_finiteDimensional.measurableSet.preimage (measurable_pi_apply i))
exact (ae_map_iff (show AEMeasurable (fun A : Rows d k => fun i =>
(differenceSpan u)ᗮ.starProjection (A i)) _ from
(Measurable.of_eval (fun i => (differenceSpan u)ᗮ.starProjection.continuous.measurable.comp (measurable_pi_apply i))).aemeasurable) hp).mpr
(ae_of_all _ (fun A i => Submodule.starProjection_apply_mem _ _))
lemma ae_equalReference_bin_bound {d k m : ℕ} (hd : k+m+2 ≤ d) (hk : 1 ≤ k) (hm : 1 ≤ m)
{f : Vec d → ℝ≥0∞} (hf : Measurable f) {L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L)
[IsProbabilityMeasure ((sphereLaw d).withDensity f)] (J : ℕ)
(hcut : (L*ENNReal.ofReal ((72:ℝ)^d))*ENNReal.ofReal ((1/2:ℝ)^J)*
(1+(2:ℝ≥0∞)^(k+1)) ≤ 1) :
∀ᵐ z : EqualSpace d k m ∂equalReference ((sphereLaw d).withDensity f),
expectedDensity (k := k) f z.2.2 ≤ binEnvelope ((sphereLaw d).withDensity f) J z.1 z.2.1 := by
apply ae_equalReference_of_constrained (by omega) (by omega) .spherical hf hLt hfL
(measurableSet_le (by fun_prop) (by fun_prop))
filter_upwards [ae_expectedDensity_le_inverse hd hk hm hf hLt hfL,
ae_constrained_support hd hk hm .spherical hf hLt hfL] with u hu hs
filter_upwards [hs.2, ae_constrainedRows_mem (k := k) u] with A hA hU
exact hu.trans (density_inverse_moment_bins hd u hfL J hcut hA.1 hU)
lemma binTerm_volume {k : ℕ} (j : ℕ) :
ENNReal.ofReal ((2:ℝ)^(k*(j+1))) * volume {y : Labels k | labelNorm y ≤ (1/2:ℝ)^j} =
(2:ℝ≥0∞)^k * volume {y : Labels k | labelNorm y ≤ 1} := by
rw [label_closedBall_scale (by positivity), ← mul_assoc, ← ENNReal.ofReal_mul (by positivity)]
have he : (2:ℝ)^(k*(j+1)) * ((1/2:ℝ)^j)^k = (2:ℝ)^k := by
rw [Nat.mul_comm k (j+1), pow_mul, ← mul_pow]
congr 1
rw [pow_succ, div_pow, one_pow, div_eq_mul_inv]
field_simp
rw [he, ENNReal.ofReal_pow (by norm_num)]
norm_num
lemma normalized_binEnvelope_integral_le {d k : ℕ} {f : Vec d → ℝ≥0∞}
(hf : Measurable f) {L : ℝ≥0∞} (hLt : L ≠ ∞) (hfL : ∀ x, f x ≤ L)
[IsProbabilityMeasure ((sphereLaw d).withDensity f)]
{A : Rows d k} (hA : LinearIndependent ℝ A) (J : ℕ) :
(∫⁻ y, (projectedDensity .spherical f A y)⁻¹ * binEnvelope ((sphereLaw d).withDensity f) J A y
∂volume.withDensity (projectedDensity .spherical f A)) ≤
ENNReal.ofReal (gramVolume A) * volume {y : Labels k | labelNorm y ≤ 1} *
(2+(J:ℝ≥0∞)*2^k) := by
simp only [binEnvelope, mul_add, Finset.mul_sum]
rw [lintegral_add_left (by fun_prop), lintegral_mul_const _ (by fun_prop),
normalized_inverse_density_integral _ (by fun_prop) (projectedDensity_ne_top .spherical hLt hfL A),
lintegral_finsetSum _ (fun j _ => by fun_prop)]
calc
_ ≤ (ENNReal.ofReal (gramVolume A) * volume {y : Labels k | labelNorm y ≤ 1}) * 2 +
∑ j ∈ Finset.range J, ENNReal.ofReal ((2:ℝ)^(k*(j+1))) *
(ENNReal.ofReal (gramVolume A) * volume {y : Labels k | labelNorm y ≤ (1/2:ℝ)^j}) := by
apply add_le_add
· exact mul_le_mul' (projectedDensity_support_volume hA f) le_rfl
· apply Finset.sum_le_sum
intro j hj
simp only [← Nat.mul_add]
simp_rw [mul_left_comm ((projectedDensity .spherical f A _)⁻¹) (ENNReal.ofReal ((2:ℝ)^(k*(j+1))))]
rw [lintegral_const_mul _ (by fun_prop)]
exact mul_le_mul' le_rfl (normalized_ellipsoidMass_integral_le hf hLt hfL hA _)
_ = _ := by
simp_rw [mul_left_comm _ (ENNReal.ofReal (gramVolume A)), binTerm_volume]
simp only [Finset.sum_const, Finset.card_range, nsmul_eq_mul]
ring
end PosteriorReplicas
end
end OAI