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Add lean source and binary files (part 118)
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import Mathlib
import OAI.Probability.Ballisticity.Walk.FreshRowWeights
namespace OAI
section
section
open MeasureTheory ProbabilityTheory Filter Function
open scoped ENNReal NNReal BigOperators Topology Classical
namespace DirectionalTransience
def pairLawValidSet {d : ℕ} (f : Direction d) (z : ℝ) {C : Set (Lattice d × Lattice d)}
(π : Environment d → SupportedPairMeasures C) : Set (Environment d) :=
{ω | (π ω).val Set.univ=1 ∧ (π ω).val {x | ¬ z ≤ signedCoordinate f (x.2-x.1)}=0}
lemma pairLawValidSet_iff {d : ℕ} (f : Direction d) (z : ℝ) {C : Set (Lattice d × Lattice d)}
(π : Environment d → SupportedPairMeasures C) (ω : Environment d) :
ω ∈ pairLawValidSet f z π ↔ IsProbabilityMeasure (π ω).val ∧
∀ᵐ x ∂(π ω).val, z ≤ signedCoordinate f (x.2-x.1) := by
constructor
· rintro ⟨hp,hg⟩
exact ⟨⟨hp⟩,ae_iff.mpr hg⟩
· rintro ⟨hp,hg⟩
let := hp
exact ⟨measure_univ,ae_iff.mp hg⟩
lemma pairLawValidSet_measurable {d : ℕ} (f : Direction d) (z : ℝ) {C : Set (Lattice d × Lattice d)}
(π : Environment d → SupportedPairMeasures C) {m : MeasurableSpace (Environment d)} (hπ : @Measurable _ _ m _ π) :
MeasurableSet[m] (pairLawValidSet f z π) := by
have hm := hπ.subtype_val
exact (measurableSet_eq_fun ((Measure.measurable_coe MeasurableSet.univ).comp hm) measurable_const).inter
(measurableSet_eq_fun ((Measure.measurable_coe (Set.to_countable _).measurableSet).comp hm) measurable_const)
lemma weighted_test_ae_valid {Ω : Type*} [mΩ : MeasurableSpace Ω] {m : MeasurableSpace Ω}
(hm : m ≤ mΩ) (μ : @Measure Ω mΩ) (A V E : Set Ω) (hA : MeasurableSet[m] A)
(hV : MeasurableSet[m] V) (w : Ω → ℝ≥0∞) (c : ℝ≥0∞)
(hvalid : ∀ᵐ ω ∂μ, ω ∈ A → ω ∈ V)
(hbound : ∀ A', MeasurableSet[m] A' → A' ⊆ A → A' ⊆ V →
c*(∫⁻ ω in A', w ω ∂μ) ≤ ∫⁻ ω in A' ∩ E, w ω ∂μ) :
c*(∫⁻ ω in A, w ω ∂μ) ≤ ∫⁻ ω in A ∩ E, w ω ∂μ := by
have hv : (fun ω => ω ∈ A ∩ V) =ᵐ[μ] (fun ω => ω ∈ A) := hvalid.mono fun ω h => by
simp only [Set.mem_inter_iff]
exact propext ⟨And.left,fun hA => ⟨hA,h hA⟩⟩
have hvE : (fun ω => ω ∈ (A ∩ V) ∩ E) =ᵐ[μ] (fun ω => ω ∈ A ∩ E) := hv.mono fun ω h => by
change (ω ∈ A ∩ V ∧ ω ∈ E) = (ω ∈ A ∧ ω ∈ E)
change (ω ∈ A ∩ V) = (ω ∈ A) at h
rw [h]
have hh := hbound (A ∩ V) (hA.inter hV) Set.inter_subset_left Set.inter_subset_right
have hr : μ.restrict (A ∩ V)=μ.restrict A := by
rw [Set.inter_comm, ← Measure.restrict_restrict (hm V hV)]
exact Measure.restrict_eq_self_of_ae_mem ((ae_restrict_iff' (hm A hA)).mpr hvalid)
have hrE : μ.restrict ((A ∩ V) ∩ E)=μ.restrict (A ∩ E) := Measure.restrict_congr_set hvE
rwa [hr,hrE] at hh
lemma fresh_buffer_weight_ae_valid {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ : Vector d) (f : Direction d) {H : ℕ} (hH : 0 < H) (z₀ r ε α g c : ℝ)
(C : Set (Lattice d × Lattice d)) (D S : Set (Lattice d))
(hdis : Disjoint D S) (hC : ∀ x ∈ C, Strip ℓ x.1 H ⊆ S ∧ Strip ℓ x.2 H ⊆ S)
(hchance : ∀ π : SupportedPairMeasures C, IsProbabilityMeasure π.val →
(∀ᵐ x ∂π.val, z₀+r ≤ signedCoordinate f (x.2-x.1)) →
ENNReal.ofReal c ≤ environmentLaw ν {ω | BufferStageEvent ℓ f H z₀ r ε α g π.val ω})
(π : Environment d → SupportedPairMeasures C)
(hπ : @Measurable _ _ (rowSigma D) _ π) (A : Set (Environment d))
(hA : MeasurableSet[rowSigma D] A)
(hvalid : ∀ᵐ ω ∂environmentLaw ν, ω ∈ A → IsProbabilityMeasure (π ω).val ∧
∀ᵐ x ∂(π ω).val, z₀+r ≤ signedCoordinate f (x.2-x.1))
(w : Environment d → ℝ≥0∞) (hw : @Measurable _ _ (rowSigma D) _ w) :
ENNReal.ofReal c*(∫⁻ ω in A, w ω ∂environmentLaw ν) ≤
∫⁻ ω in {ω | ω ∈ A ∧ BufferStageEvent ℓ f H z₀ r ε α g (π ω).val ω}, w ω ∂environmentLaw ν := by
apply weighted_test_ae_valid (mΩ := (inferInstance : MeasurableSpace (Environment d))) (m := rowSigma D) (rowSigma_le D) (environmentLaw ν) A (pairLawValidSet f (z₀+r) π)
{ω | BufferStageEvent ℓ f H z₀ r ε α g (π ω).val ω} hA
(pairLawValidSet_measurable f (z₀+r) π hπ) w (ENNReal.ofReal c)
(hvalid.mono fun ω h hω => (pairLawValidSet_iff f (z₀+r) π ω).mpr (h hω))
intro A' hA' hsub hV
apply fresh_buffer_weighted_test ν ℓ f hH z₀ r ε α g C hdis hC π hπ A' hA' w hw
intro ω hω
obtain ⟨hp,hgap⟩ := (pairLawValidSet_iff f (z₀+r) π ω).mp (hV hω)
exact hchance (π ω) hp hgap
end DirectionalTransience
end
end
end OAI