Martingales #
A family of functions f : ι → Ω → E is a martingale with respect to a filtration ℱ if every
f i is integrable, f is adapted with respect to ℱ and for all i ≤ j,
μ[f j | ℱ i] =ᵐ[μ] f i. On the other hand, f : ι → Ω → E is said to be a supermartingale
with respect to the filtration ℱ if f i is integrable, f is adapted with resepct to ℱ
and for all i ≤ j, μ[f j | ℱ i] ≤ᵐ[μ] f i. Finally, f : ι → Ω → E is said to be a
submartingale with respect to the filtration ℱ if f i is integrable, f is adapted with
resepct to ℱ and for all i ≤ j, f i ≤ᵐ[μ] μ[f j | ℱ i].
The definitions of filtration and adapted can be found in Probability.Process.Stopping.
Definitions #
MeasureTheory.Martingale f ℱ μ:fis a martingale with respect to filtrationℱand measureμ.MeasureTheory.Supermartingale f ℱ μ:fis a supermartingale with respect to filtrationℱand measureμ.MeasureTheory.Submartingale f ℱ μ:fis a submartingale with respect to filtrationℱand measureμ.
Results #
MeasureTheory.martingale_condexp f ℱ μ: the sequencefun i => μ[f | ℱ i, ℱ.le i])is a martingale with respect toℱandμ.
A family of functions f : ι → Ω → E is a martingale with respect to a filtration ℱ if f
is adapted with respect to ℱ and for all i ≤ j, μ[f j | ℱ i] =ᵐ[μ] f i.
Equations
- MeasureTheory.Martingale f ℱ μ = (MeasureTheory.Adapted ℱ f ∧ ∀ (i j : ι), i ≤ j → MeasureTheory.condexp (↑ℱ i) μ (f j) =ᶠ[MeasureTheory.Measure.ae μ] f i)
Instances For
A family of integrable functions f : ι → Ω → E is a supermartingale with respect to a
filtration ℱ if f is adapted with respect to ℱ and for all i ≤ j,
μ[f j | ℱ.le i] ≤ᵐ[μ] f i.
Equations
- One or more equations did not get rendered due to their size.
Instances For
A family of integrable functions f : ι → Ω → E is a submartingale with respect to a
filtration ℱ if f is adapted with respect to ℱ and for all i ≤ j,
f i ≤ᵐ[μ] μ[f j | ℱ.le i].
Equations
- One or more equations did not get rendered due to their size.
Instances For
The converse of this lemma is MeasureTheory.submartingale_of_set_integral_le.
A predictable submartingale is a.e. greater equal than its initial state.
A predictable supermartingale is a.e. less equal than its initial state.
A predictable martingale is a.e. equal to its initial state.
Given a discrete submartingale f and a predictable process ξ (i.e. ξ (n + 1) is adapted)
the process defined by fun n => ∑ k in Finset.range n, ξ (k + 1) * (f (k + 1) - f k) is also a
submartingale.