3
$\begingroup$

Consider an alternating renewal system that can be in one of two states: on or off. Initially it is on and it remains on for a time $Z_1$, it then goes off and remains off for a time $Y_1$, it then goes on for a time $Z_2$, then off for a time $Y_2$ ; then on, and so forth. Suppose that the random vectors $(Z_n, Y_n), n > 1$, are i.i.d.. Then $Z_n, n>1$ are i.i.d. and $Y_n, n> 1$ are also i.i.d..

Suppose that the distribution of $Z_n$ is a Geometric distribution and the distribution of $Y_n$ a Poisson distribution. My question is whether it is possible to compute $\lim_{t\rightarrow \infty} P(\text{system is on at time }t)$?

I am tempted to apply Theorem 3.4.4 of Stochastic processes by Sheldon M. Ross, which states that

If $E[Z_n + Y_n] < \infty$ and $Z_n + Y_n$ is nonlattice, then $\lim_{t\rightarrow \infty} P(\text{system is on at time }t) = \frac{E(Z_n)}{E(Z_n)+E(Y_n)}$

But $Z_n + Y_n, n\geq 1$ are nonnegative integer valued random variables, and therefore lattice, which violates the condition of the theorem.

Thanks for your help!

1 Answers 1

2

There is a remark at the end of Theorem 8.23 in Modeling and analysis of stochastic systems By Vidyadhar G. Kulkarni:

If $Y_n+Z_n$ is periodic with period $d$, then the above result is true if $t$ is an integral multiple of $d$.

  • 1
    *Based on this* one sees that a random variable being *lattice* is a standard definition and that lattice random variables are very seldom called *periodic*.2011-04-23