openAI-math-dataset / lean /OAI /Probability /FreeIsing /Martingales /StoppedTimePrimitive.lean
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import OAI.Probability.FreeIsing.Estimates.ProgressivePrimitive
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Set Filter
open scoped NNReal Topology
namespace Problem367.StoppedTimePrimitive
def stopDensity {Ω : Type*} (a : ℝ≥0 → Ω → ℝ) (τ : Ω → WithTop ℝ≥0)
(t : ℝ≥0) (ω : Ω) : ℝ :=
if (t : WithTop ℝ≥0) ≤ τ ω then a t ω else 0
theorem integral_indicator_min (a : ℝ → ℝ) (t u : ℝ≥0) :
(∫ r in (0 : ℝ)..(t : ℝ), if r ≤ u then a r else 0) =
∫ r in (0 : ℝ)..(min t u : ℝ≥0), a r := by
rcases le_total t u with h | h
· rw [min_eq_left h]
apply intervalIntegral.integral_congr
intro r hr
rw [Set.uIcc_of_le t.coe_nonneg] at hr
exact ite_eq_left (hr.2.trans h)
· rw [min_eq_right h]
exact intervalIntegral.integral_indicator ⟨u.coe_nonneg, h⟩
theorem stoppedProcess_primitive {Ω : Type*} (a : ℝ≥0 → Ω → ℝ)
(τ : Ω → WithTop ℝ≥0) (t : ℝ≥0) (ω : Ω) :
stoppedProcess (nnrealTimePrimitive a) τ t ω =
nnrealTimePrimitive (stopDensity a τ) t ω := by
cases hτ : τ ω with
| top => simp only [stoppedProcess, nnrealTimePrimitive, stopDensity, hτ, min_eq_left le_top, WithTop.untopA, WithTop.untopD_coe, le_top, ite_true]
| coe u =>
simp only [stoppedProcess, hτ, ← WithTop.coe_min, WithTop.untopA,
WithTop.untopD_coe, nnrealTimePrimitive, stopDensity, WithTop.coe_le_coe,
Real.toNNReal_le_iff_le_coe]
exact (integral_indicator_min (fun r => a r.toNNReal ω) t u).symm
theorem continuous_stoppedProcess {Ω E : Type*} [TopologicalSpace E]
{X : ℝ≥0 → Ω → E} {ω : Ω} (hX : Continuous (fun t => X t ω))
(τ : Ω → WithTop ℝ≥0) : Continuous (fun t => stoppedProcess X τ t ω) := by
cases hτ : τ ω with
| top => simpa only [stoppedProcess, hτ, min_eq_left le_top, WithTop.untopA, WithTop.untopD_coe] using hX
| coe u =>
simpa only [stoppedProcess, hτ, ← WithTop.coe_min, WithTop.untopA,
WithTop.untopD_coe, Function.comp_def, id_eq] using hX.comp (continuous_id.min continuous_const)
theorem monotone_stoppedProcess {Ω E : Type*} [Preorder E]
{X : ℝ≥0 → Ω → E} {ω : Ω} (hX : Monotone (fun t => X t ω))
(τ : Ω → WithTop ℝ≥0) : Monotone (fun t => stoppedProcess X τ t ω) := by
cases hτ : τ ω with
| top => simpa only [stoppedProcess, hτ, min_eq_left le_top, WithTop.untopA, WithTop.untopD_coe] using hX
| coe u =>
simpa only [stoppedProcess, hτ, ← WithTop.coe_min, WithTop.untopA,
WithTop.untopD_coe, Function.comp_def, id_eq] using hX.comp (monotone_id.min monotone_const)
theorem stopTime_eq_iff_le {Ω : Type*} (τ : Ω → WithTop ℝ≥0) (t : ℝ≥0) (ω : Ω) :
(min (t : WithTop ℝ≥0) (τ ω)).untopA = t ↔ (t : WithTop ℝ≥0) ≤ τ ω := by
cases hτ : τ ω with
| top => simp only [min_eq_left le_top, WithTop.untopA, WithTop.untopD_coe, le_top]
| coe u => simp only [← WithTop.coe_min, WithTop.untopA, WithTop.untopD_coe, min_eq_left_iff, WithTop.coe_le_coe]
theorem isStronglyProgressive_stopDensity {Ω : Type*} [mΩ : MeasurableSpace Ω]
{F : Filtration ℝ≥0 mΩ} {a : ℝ≥0 → Ω → ℝ} {τ : Ω → WithTop ℝ≥0}
(ha : IsStronglyProgressive F a) (hτ : IsStoppingTime F τ) :
IsStronglyProgressive F (stopDensity a τ) := by
intro T
let : MeasurableSpace Ω := F T
have hs : MeasurableSet {p : Iic T × Ω | ((p.1 : ℝ≥0) : WithTop ℝ≥0) ≤ τ p.2} := by
simp only [← stopTime_eq_iff_le]
exact measurableSet_eq_fun (isStronglyProgressive_min_stopping_time hτ T).measurable
measurable_fst.subtype_val
exact (ha T).piecewise hs stronglyMeasurable_const
theorem stoppedProcess_weighted_primitive {Ω E : Type*}
(X : ℝ≥0 → Ω → E) (f : E → ℝ) (a : ℝ≥0 → Ω → ℝ)
(τ : Ω → WithTop ℝ≥0) (t : ℝ≥0) (ω : Ω) :
stoppedProcess (nnrealTimePrimitive (fun s ω => f (X s ω) * a s ω)) τ t ω =
nnrealTimePrimitive (fun s ω => f (stoppedProcess X τ s ω) * stopDensity a τ s ω) t ω := by
rw [stoppedProcess_primitive]
congr 1
funext s ω
by_cases h : (s : WithTop ℝ≥0) ≤ τ ω
· simp only [stopDensity, h, ite_true, stoppedProcess_eq_of_le h]
· simp only [stopDensity, h, ite_false, mul_zero]
end Problem367.StoppedTimePrimitive
end
end OAI