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This matrix shows that it will be sunny three days from now with probability 05855 when the present day is rainy You could also ask: what is the probability distribution of the weather after many days Intuitively you expect that this probability distribution does not depend on the present weather This is indeed con rmed by the calculations: 05963113 01719806 02317081 P5 = 05957781 01723641 02318578 05954788 01725794 02319418 05960265 01721854 02317881 P12 = 05960265 01721854 02317881 = P13 = P14 = 05960265 01721854 02317881

The principle of TCAP segmentation entails that, when a CAMEL service is started, a TCAP dialogue is opened between gprsSSF and gsmSCF This dialogue remains open as long as the gprsSSF FSM is in state WFI The rationale is that, as long as the gprsSSF FSM is in state WFI, the gprsSSF expects a CAP operation from the gsmSCF, in order for the gprsSSF to transit to the state monitoring or idle When the gprsSSF receives a CAP operation that results in a gprsSSF FSM state transition to monitoring or idle, it closes the TCAP dialogue The resources that were occupied by the TCAP dialogue are now released and may be used for other TC-Users When an event occurs that requires the transfer of CAP operations between the gprsSSF and the gsmSCF, a new TCAP dialogue is opened The required CAP operations may now be transferred When the transfer of CAP operations resulting from this event is complete, the gprsSSF closes this TCAP dialogue This opening and closing of TCAP dialogues continues until the CAMEL dialogue terminates In the example in Figure 548, the gprsSSF reports apply charging report GPRS (ACR-GPRS) and event report GPRS (ERG; PDP context disconnect) The gsmSCF responds with CAP CUE on the PDP context disconnect noti cation Pre-arranged end rules specify that the CAMEL dialogue for this scenario 2 service is now closed From the TCAP point of view, the opening and closing of the TCAP dialogues follows the normal routines (except for the reporting of the gsmSCF address to the TC-User, as will be explained below) A TCAP dialogue is opened with a TC Begin primitive; TC Continue is used for the

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(n) In this example the n-step transition probability pij converges for n to a limit which is independent of the initial state i You see that the weather after many days will be sunny, cloudy or rainy with respective probabilities 05960, 01722 and 02318 Intuitively it will be clear that these probabilities also give the proportions of time the weather is sunny, cloudy and rainy over a long period The limiting behaviour of the n-step transition probabilities is the subject of Section 33

321 Absorbing States A useful Markov chain model is the model with one or more absorbing states A state is absorbing if the process cannot leave this state once it entered this state De nition 321 A state i is said to be an absorbing state if pii = 1 The next example shows the usefulness of the Markov model with absorbing states Example 322 Success runs in roulette A memorable event occurred in the casino of Monte Carlo on the evening of 18 August 1913 The roulette ball hit a red number 26 times in a row In European

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