It is a continuous-time Markov process with almost surely continuous sample paths.
Here the service time distribution is no longer a Markov process.
He became well known for his contributions on time series and Markov processes.
In particular, this condition is valid for all Markov processes without any relation to time-reversibility.
The entropy growth in all Markov processes was explicitly proved later.
Markov processes have been used to model and study this type of system.
This talk was titled "Markov processes and problems in analysis".
If is the generator of a Markov process as explained before, we can give a general solution to (3.2):
A process with this property is called a Markov process.
He also produced important papers on the general theory of Markov processes.