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probability transition function (Definition)

A probability transition function (p.t.f., or just t.f. in context) on a measurable space $ (\Omega, \mathcal{F})$ is a family $ P_{s,t}$, $ 0 \leq s < t$ of transition probabilities on $ (\Omega, \mathcal{F})$ such that for every three real numbers $ s < t < v$, the family satisfies the Chapman-Kolmogorov equation

$\displaystyle \int P_{s,t}(x, dy)P_{t,v}(y, A) = P_{s,v}(x, A)$
for every $ x \in \Omega$ and $ A \in \mathcal{F}$. The t.f. is said to be homogeneous if $ P_{s,t}$ depends on $ s$ and $ t$ only through their difference $ t-s$. In this case, we write $ P_{t,0} = P_t$ and the family $ \{P_t, t \geq 0\}$ is a semigroup, and the Chapman-Kolmogorov equation reads
$\displaystyle P_{t+s}(x, A) = \int P_s(x, dy) P_t(y, A).$

Bibliography

1
D. Revuz & M. Yor, Continuous Martingales and Brownian Motion, Third Edition Corrected. Volume 293, Grundlehren der mathematischen Wissenschaften. Springer, Berlin, 2005.



"probability transition function" is owned by mcarlisle.
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Also defines:  probability transition function, homogeneous probability transition function, Chapman-Kolmogorov equation
Keywords:  random stochastic process transition function semigroup probability
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Cross-references: semigroup, real numbers, transition probabilities, measurable space
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This is version 5 of probability transition function, born on 2006-09-01, modified 2006-09-02.
Object id is 8306, canonical name is ProbabilityTransitionFunction.
Accessed 2066 times total.

Classification:
AMS MSC60J35 (Probability theory and stochastic processes :: Markov processes :: Transition functions, generators and resolvents)

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