Proofing Markov Memory-less Processes Mathematically

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To prove that an arrival process is Markovian and memory-less, one must demonstrate that it satisfies the definition of a Markov Process, which depends on the specific characteristics of the arrival process. In the context of people arriving at a bus stop, it is suggested to assume the system is Markovian for the application of queueing theory and stochastic processes. The discussion highlights the need for statistical tests to evaluate the hypothesis that the arrival process follows a Poisson distribution, noting that statistical tests do not constitute mathematical proof. Ultimately, clear identification of the arrival data and appropriate statistical methods are crucial for validating the Markovian nature of the process. Understanding these concepts is essential for effectively analyzing arrival patterns in queueing systems.
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How to mathematically proof that an arrival process is Markov ,memory-less ?
 
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That general, all you can say is "show that it satisfies the definition of "Markov Process". How you would do that, of course, depends upon exactly what the arrival process is.
 
The process is people arrival at the bus stop.
I have time arrivals and now I need to proof that is indeed markovian process and maybe poisson
 
Surely one would assume a memoryless system to allow for the theory of queues and stochastic processes can be applied to your queueing system?

I am sure it is mathematically allowed to assume (wlog) that your system is Markovian.
 
Mark J. said:
The process is people arrival at the bus stop.
I have time arrivals and now I need to proof that is indeed markovian process and maybe poisson

Perhaps a clear statement of your question is: "I have data for the arrival times of people at a bus stop. What statistical tests can I use to test the hypothesis that the arrival process is Poission?". (Statistical tests aren't "proof".)
 
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