Martingales #
A family of functions f : ι → α → 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.le i] =ᵐ[μ] f i. On the other hand, f : ι → α → 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.le i] ≤ᵐ[μ] f i. Finally, f : ι → α → 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.le i].
The definitions of filtration and adapted can be found in probability_theory.stopping.
Definitions #
measure_theory.martingale f ℱ μ:fis a martingale with respect to filtrationℱand measureμ.measure_theory.supermartingale f ℱ μ:fis a supermartingale with respect to filtrationℱand measureμ.measure_theory.submartingale f ℱ μ:fis a submartingale with respect to filtrationℱand measureμ.
Results #
measure_theory.martingale_condexp f ℱ μ: the sequenceλ i, μ[f | ℱ i, ℱ.le i])is a martingale with respect toℱandμ.
A family of functions f : ι → α → 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.le i] =ᵐ[μ] f i.
Equations
- measure_theory.martingale f ℱ μ = (measure_theory.adapted ℱ f ∧ ∀ (i j : ι), i ≤ j → μ[f j|_] =ᵐ[μ] f i)
A family of integrable functions f : ι → α → 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
- measure_theory.supermartingale f ℱ μ = (measure_theory.adapted ℱ f ∧ (∀ (i j : ι), i ≤ j → μ[f j|_] ≤ᵐ[μ] f i) ∧ ∀ (i : ι), measure_theory.integrable (f i) μ)
A family of integrable functions f : ι → α → 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
- measure_theory.submartingale f ℱ μ = (measure_theory.adapted ℱ f ∧ (∀ (i j : ι), i ≤ j → f i ≤ᵐ[μ] (μ[f j|_])) ∧ ∀ (i : ι), measure_theory.integrable (f i) μ)
Given a submartingale f and bounded stopping times τ and π such that τ ≤ π, the
expectation of stopped_value f τ is less or equal to the expectation of stopped_value f π.
This is the forward direction of the optional stopping theorem.