Documentation

BrownianMotion.StochasticIntegral.LocalizingLeastGE

@[instance_reducible]
Equations
theorem ProbabilityTheory.isLocalizingSequence_leastGE {Ω : Type u_1} {mΩ : MeasurableSpace Ω} {P : MeasureTheory.Measure Ω} {ι : Type u_3} [ConditionallyCompleteLinearOrderBot ι] [TopologicalSpace ι] [OrderTopology ι] [PolishSpace ι] (𝓕 : MeasureTheory.Filtration ι mΩ) {X : ι → Ω → ℝ} (hX1 : MeasureTheory.StronglyAdapted 𝓕 X) (hX2 : ∀ (ω : Ω), IsCadlag fun (x : ι) => X x ω) [𝓕.IsComplete P] [𝓕.IsRightContinuous] [MeasureTheory.IsFiniteMeasure P] :
IsLocalizingSequence 𝓕 (fun (n : ℕ) => MeasureTheory.leastGE X ↑n) P
noncomputable def ProbabilityTheory.stoppedAtNorm {Ω : Type u_1} {E : Type u_2} [NormedAddCommGroup E] {ι : Type u_3} [ConditionallyCompleteLinearOrderBot ι] (X : ι → Ω → E) (r : ℝ) :
ι → Ω → E

The stopped process at the time when the norm of the process first exceeds a threshold.

Equations
  • One or more equations did not get rendered due to their size.
Instances For
    @[simp]
    theorem ProbabilityTheory.stoppedAtNorm_of_nonpos {Ω : Type u_1} {E : Type u_2} [NormedAddCommGroup E] {ι : Type u_3} [ConditionallyCompleteLinearOrderBot ι] (X : ι → Ω → E) {r : ℝ} (hr : r ≤ 0) :
    stoppedAtNorm X r = fun (x : ι) (x_1 : Ω) => 0
    theorem WithBot.unbotA_inj {α : Type u_3} [Nonempty α] {a b : WithBot α} (ha : a ≠ ⊥) (hb : b ≠ ⊥) :
    a.unbotA = b.unbotA ↔ a = b
    theorem WithTop.untopA_inj {α : Type u_3} [Nonempty α] {a b : WithTop α} (ha : a ≠ ⊤) (hb : b ≠ ⊤) :
    a.untopA = b.untopA ↔ a = b
    @[simp]
    theorem WithBot.coe_unbotA {α : Type u_3} [Nonempty α] {x : WithBot α} (hx : x ≠ ⊥) :
    ↑x.unbotA = x
    @[simp]
    theorem WithTop.coe_untopA {α : Type u_3} [Nonempty α] {x : WithTop α} (hx : x ≠ ⊤) :
    ↑x.untopA = x
    theorem ProbabilityTheory.stoppedAtNorm_le_add_jump {Ω : Type u_1} {E : Type u_2} [NormedAddCommGroup E] {ι : Type u_3} [ConditionallyCompleteLinearOrderBot ι] [TopologicalSpace ι] [OrderTopology ι] {X : ι → Ω → E} (h_cadlag : ∀ (ω : Ω), IsCadlag fun (x : ι) => X x ω) (t : ι) (ω : Ω) {n : ℝ} (hn : 0 ≤ n) :
    ‖stoppedAtNorm X n t ω‖ ≤ n + ‖Function.jump (fun (x : ι) => X x ω) (MeasureTheory.leastGE (fun (i : ι) (ω : Ω) => ‖X i ω‖) n ω).untopA‖