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BrownianMotion.StochasticIntegral.QuadraticVariation

Quadratic variation of locally square-integrable martingales #

noncomputable def ProbabilityTheory.predQuadVariation {ι : Type u_1} {Ω : Type u_2} {E : Type u_3} [LinearOrder ι] [OrderBot ι] [TopologicalSpace ι] [OrderTopology ι] [MeasurableSpace ι] [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {mΩ : MeasurableSpace Ω} (X : ι → Ω → E) (P : MeasureTheory.Measure Ω) (𝓕 : MeasureTheory.Filtration ι mΩ) [MeasureTheory.SigmaFiniteFiltration P 𝓕] :
ι → Ω → ℝ

The predictable quadratic variation of a locally square-integrable martingale, defined as the predictable part of the Doob-Meyer decomposition of its squared norm.

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    The predictable quadratic variation of a locally square-integrable martingale, defined as the predictable part of the Doob-Meyer decomposition of its squared norm.

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      @[simp]
      @[simp]
      theorem ProbabilityTheory.predQuadVariation_of_not_cadlag {ι : Type u_1} {Ω : Type u_2} {E : Type u_3} [LinearOrder ι] [OrderBot ι] [TopologicalSpace ι] [OrderTopology ι] [MeasurableSpace ι] [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {mΩ : MeasurableSpace Ω} {P : MeasureTheory.Measure Ω} {𝓕 : MeasureTheory.Filtration ι mΩ} [MeasureTheory.SigmaFiniteFiltration P 𝓕] {X : ι → Ω → E} (hX_cadlag : ¬∀ (ω : Ω), IsCadlag fun (x : ι) => X x ω) :
      predQuadVariation X P 𝓕 = fun (x : ι) (x_1 : Ω) => 0
      theorem ProbabilityTheory.isCadlag_predQuadVariation {ι : Type u_1} {Ω : Type u_2} {E : Type u_3} [LinearOrder ι] [OrderBot ι] [TopologicalSpace ι] [OrderTopology ι] [MeasurableSpace ι] [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {mΩ : MeasurableSpace Ω} {P : MeasureTheory.Measure Ω} {𝓕 : MeasureTheory.Filtration ι mΩ} [MeasureTheory.SigmaFiniteFiltration P 𝓕] {X : ι → Ω → E} (ω : Ω) :
      IsCadlag fun (x : ι) => predQuadVariation X P 𝓕 x ω
      theorem ProbabilityTheory.monotone_predQuadVariation {ι : Type u_1} {Ω : Type u_2} {E : Type u_3} [LinearOrder ι] [OrderBot ι] [TopologicalSpace ι] [OrderTopology ι] [MeasurableSpace ι] [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {mΩ : MeasurableSpace Ω} {P : MeasureTheory.Measure Ω} {𝓕 : MeasureTheory.Filtration ι mΩ} [MeasureTheory.SigmaFiniteFiltration P 𝓕] {X : ι → Ω → E} (ω : Ω) :
      Monotone fun (x : ι) => predQuadVariation X P 𝓕 x ω
      noncomputable def ProbabilityTheory.predQuadCovariation {ι : Type u_1} {Ω : Type u_2} {E : Type u_3} [LinearOrder ι] [OrderBot ι] [TopologicalSpace ι] [OrderTopology ι] [MeasurableSpace ι] [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {mΩ : MeasurableSpace Ω} (X Y : ι → Ω → E) (P : MeasureTheory.Measure Ω) (𝓕 : MeasureTheory.Filtration ι mΩ) [MeasureTheory.SigmaFiniteFiltration P 𝓕] :
      ι → Ω → ℝ

      Predictable quadratic covariation of two processes.

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        Predictable quadratic covariation of two processes.

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          theorem ProbabilityTheory.isCadlag_predQuadCovariation {ι : Type u_1} {Ω : Type u_2} {E : Type u_3} [LinearOrder ι] [OrderBot ι] [TopologicalSpace ι] [OrderTopology ι] [MeasurableSpace ι] [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {mΩ : MeasurableSpace Ω} {P : MeasureTheory.Measure Ω} {𝓕 : MeasureTheory.Filtration ι mΩ} [MeasureTheory.SigmaFiniteFiltration P 𝓕] {X Y : ι → Ω → E} (ω : Ω) :
          IsCadlag fun (x : ι) => predQuadCovariation X Y P 𝓕 x ω