Distribution of Piecewise Random Variable (CDF Technique)

50 Views Asked by At

Let $T\sim EXP(1/\mu)\implies E(T)=1/\mu\implies f(t)=\mu e^{-\mu t}$

Define $Y:=$ \begin{cases} (1-v^T)/\delta, & \text{if 0 < T < n} \\ (1-v^n)/\delta, & \text{if T $\ge$ $n$ } \end{cases}

where $\delta\in[1,\infty), v\in(0,1),\mu\in(0,\infty)$

Basically, a limit has been put on $Y$.

What is the CDF of $Y$? In other words, what is $P(Y\le y)$?

I don't think that the CDF technique will work here, but I'm not sure. How can you get this CDF?