Average number of arrivals of one poisson process before first arrival of other poisson process. I have two poisson processes: $N_t$ with rate $\lambda$ and $M_t$ with rate $\mu$. I have to calculate the average number of arrivals for $N_t$ before the first arrival of $M_t$.
This is my reasoning:
The average time for the first arrival of $M_t$ is $\mu$, and the average time between arrivals of $N_t$ is $\lambda$, independently of the moment I start to measure the time and counting the arrivals. So in a interval $[0, \mu]$ the average number of arrivals for $N_t$ is $\lambda\mu$ because for an arbitrary $t$ the average number of arrival for $N_t$ is $\lambda t$.
¿Am I right?
Edit: I applied the same reasoning to calculate the average arrivals for $M_t$ before the first arival form $N_t$ and it gives $\lambda\mu$ too, there's something wrong here...
Another edit: facepalm the average time between arrivals for $M_t$ is $\frac{1}{\mu}$, so the number of arrivals for $N_t$ in the interval $[0, \frac{1}{\mu}]$ would be $\frac{\lambda}{\mu}$.
On the other hand, the average number of arrivals for $M_t$ before the first arrival of $N_t$ would be $\frac{\mu}{\lambda}$
I think this looks better now.

Just get
$$E[N(\tau_1)]=\sum_{n=0}^\infty nP(N(\tau_1)=n)=\sum_{n=0}^\infty n\int_0^\infty P(N(t)=n)\mu e^{-t\mu}dt=\frac{\lambda}{\mu}$$
Where $\tau_1$ is the first arrival time of $M(t)$.
Your answer is correct.
