Example 6.1
Pick a non-trivial and matrices and calculate , etc. On can also attempt to find, , etc.
Consider an arbitrary but fixed state . For that define ;.
Then is the probability (given we are in state at time ), of the first attainment of state occuring at the transition, which may be called the first passage time.
By definition we have , and , then one can claim that:
, where , , .
Diagrammatically it can be shown in Figure 6.3.
Figure 6.3: A simple stochastic process
Contrast this with the first order Markov chain.
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