Exists elementary Predictable Set
ProbabilityTheory.stochIoc.exists_elementaryPredictableSet
Plain-language statement
]]σ,τ]] is an elementary predictable set for bounded stopping times on ℕ (blueprint lem:elementaryPredictableSet_stochasticInterval). With τ ≤ n, ]]σ,τ]] = ⋃_{i < n} (i, i+1] × {σ ≤ i < τ} is a finite disjoint union of predictable rectangles, which is exactly the data of an ElementaryPredictableSet.
Exact Lean statement
theorem exists_elementaryPredictableSet (hσ : IsStoppingTime 𝓕 σ) (hτ : IsStoppingTime 𝓕 τ)
{n : ℕ} (hτn : ∀ ω, τ ω ≤ n) :
∃ S : ElementaryPredictableSet 𝓕, (S : Set (ℕ × Ω)) = stochIoc σ τFormal artifact
Lean source
theorem exists_elementaryPredictableSet (hσ : IsStoppingTime 𝓕 σ) (hτ : IsStoppingTime 𝓕 τ) {n : ℕ} (hτn : ∀ ω, τ ω ≤ n) : ∃ S : ElementaryPredictableSet 𝓕, (S : Set (ℕ × Ω)) = stochIoc σ τ := by refine ⟨{ setBot := ∅ I := (Finset.range n).image (fun i ↦ (i, i + 1)) set := fun p ↦ {ω | σ ω ≤ (p.1 : ℕ∞) ∧ (p.1 : ℕ∞) < τ ω} le_of_mem_I p hp := ?_ measurableSet_setBot := @MeasurableSet.empty _ (𝓕 ⊥) measurableSet_set p hp := ?_ pairwiseDisjoint p hp q hq hpq := ?_ }, ?_⟩ · simp only [Finset.mem_image, Finset.mem_range] at hp obtain ⟨i, _, rfl⟩ := hp exact Nat.le_succ i · simp only [Finset.mem_image, Finset.mem_range] at hp obtain ⟨i, _, rfl⟩ := hp exact measurableSet_slice hσ hτ i · simp only [Finset.coe_image, Finset.coe_range, Set.mem_image, Set.mem_Iio] at hp hq obtain ⟨i, _, rfl⟩ := hp obtain ⟨j, _, rfl⟩ := hq have hij : i ≠ j := fun h ↦ hpq (by rw [h]) apply Set.disjoint_left.mpr rintro ⟨t, ω⟩ ht ht' simp only [Set.mem_prod, Set.mem_Ioc] at ht ht' lia · rw [ElementaryPredictableSet.toSet] simp only [Set.prod_empty, Set.empty_union] rw [Finset.set_biUnion_finset_image, eq_iUnion σ τ] ext ⟨t, ω⟩ simp only [Set.mem_iUnion, Finset.mem_range, Set.mem_prod, Set.mem_Ioc, Set.mem_ofPred_eq] constructor · grind · rintro ⟨i, ht, hσi, hiτ⟩ refine ⟨i, ?_, ht, hσi, hiτ⟩ suffices (i : ℕ∞) < n by norm_cast at this grind- Project
- Brownian motion
- License
- Apache-2.0
- Commit
- 5077304f5e73
- Source
- BrownianMotion/StochasticIntegral/StochasticInterval.lean:158-193
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Related declarations
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Source project: Brownian motion
Person-level attribution pending.
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Plain-language statement
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Project documentation
This is an auxillary lemma used to prove Dense.monotone_of_isRightContinuous. It is saying that if D is a dense set and a, b are two points such that a < b, then the comap of 𝓝[Set.Ioi a] a under the inclusion D → α is nontrivial. Note that a < b is necessary as this is clearly not true if a is a top element.
Source project: Brownian motion
Person-level attribution pending.