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Transient Analysis
A state is said to be transient if it is impossible to move to that state from any other state except itself. This state is temporary and eventually a steady state is reached. This analysis can be performed using usual probability transition matrices.Absorbing State
A state is said to be an absorbing (or Trapping state) state if it is impossible to leave the state. This will occur if any Pn is equal to 1.0Example:
Since p11 = 1.0, state A is an absorbing state. This state represents the conditions, under which the modeled process can terminate. All other states of the model are transient states.
2x2+8x-m3 = 0
Markov Properties 1) Transition probabilities are dependent only on the current state of the system i.e. provided that the current state is recognized; the conditional probabil
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