Let $N$ be a standard homogenous Poisson process, independent of the iid standard exponential claim sizes $\left(X_i\right)$ Define:
$$M_{s,t}=\displaystyle\max_{i=N(s)+1,...,N(t)} \left(X_i\right), \text{ } 0\leq s<t$$
(Keep in mind that if $N(s,t]=0$ we write $M_{s,t}=0$)
Show that $P(M_{s,t}\leq x)=P\left(\displaystyle\max_{i=N(s)+1,...,N(t)} (X_i) \leq x\right)=e^{-(t-s)e^{-x}}$
Attempt:
$$P(M_{s,t}\leq x)=P(\displaystyle\max_{i=N(s)+1,...,N(t)}(X_i)\leq x)=P(X_{N(s)+1}\leq x,X_{N(s)+2}\leq x, ... , X_{N(t)}\leq x)\stackrel{iid}{=}P(X_{N(s)+1}\leq x)\cdots P(X_{N(t)}\leq x)$$ But this doesnt help me at all...
Any hints?
Notation: $$N(s,t]=N(t)-N(s)$$
Let $N$ be a standard homogenous Poisson process $\Rightarrow$ the mean value function $\mu(t)=t$