The Strong Markov Property

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چکیده

Throughout, X := {X ï¿¿ } ï¿¿≥0 denotes a Lévy process on R ï¿¿ with triple (ï¿¿ ï¿¿ σï¿¿ ï¿¿), and exponent Ψ. And from now on, we let {ï¿¿ ï¿¿ } ï¿¿≥0 denote the natural filtration of X, all the time remembering that, in accord with our earlier convention, {ï¿¿ ï¿¿ } ï¿¿≥0 satisfies the usual conditions. Definition 1. The transition measures of X are the probability measures P ï¿¿ (ï¿¿ ï¿¿ A) := P {ï¿¿ + X ï¿¿ ∈ A} defined for all ï¿¿ ≥ 0, ï¿¿ ∈ R ï¿¿ , and A ∈ ï¿¿(R ï¿¿). In other words, each P ï¿¿ (ï¿¿ ï¿¿ •) is the law of X ï¿¿ started at ï¿¿ ∈ R ï¿¿. We single out the case ï¿¿ = 0 by setting µ ï¿¿ (A) := P ï¿¿ (0 ï¿¿ A); thus, µ ï¿¿ is the distribution of X ï¿¿ for all ï¿¿ > 0. ï¿¿ Note, in particular, that µ 0 = δ 0 is the point mass at 0 ∈ R ï¿¿ .

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تاریخ انتشار 2011