Question : How to prove below expression?
$$~P(X_1+\cdots+X_n<Y)=P(X_1<Y)^n~$$
We have memoryless property
$$P(Y>X_1+X_2|Y>X_1)=P(Y>X_2)$$
and $X_1,\cdots,X_n$ be independent and nonnegative random variables. A random variable $~Y~$ is exponentially distributed.
I tried to divide $~P(X_1+\cdots+X_n<Y)~$ by $~P(X_1<Y)~$ for $~n~$ times, but no effect.
and tried again to divide $~P(X_1+\cdots+X_n<Y)~$ by $~P(X_n<Y), \cdots, P(X_2<Y)~$, same happened again.
Consider Memoryless property \begin{equation} \begin{split} P(Y > X_1+X_2/Y>X_1) &= P(Y>X_2) \\ \frac{P(Y > X_1+X_2, Y > X_1)}{P(Y > X_1)} &= P(Y>X_2) \\ \frac{P(Y > X_1+X_2)}{P(Y > X_1)} &= P(Y>X_2) \\ P(Y > X_1+X_2) &= P(Y>X_1)P(y > X_2) \end{split} \end{equation} Similarly \begin{equation} \begin{split} P(Y > X_1+(X_2+X_3)/Y>X_1) &= P(Y>(X_2+X_3)) \\ P(Y > X_1+X_2+X_3) &= P(Y>X_1)P(y > X_2+X_3) \\ P(Y > X_1+X_2+X_3) &= P(Y>X_1)P(y > X_2) P(Y > X_3) \end{split} \end{equation} You can extend this for $n$ variables in the same way. If all $X$ s are iid, then one can write $P(Y > X_1+X_2+..+X_n) = P(Y>X_1)^n$