Joint distribution from marginals of exponential

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during an exercise on Martingales I came across the following request: let $X_n \sim \mathcal{E}(n)$ be a sequence of independent random variables, so the pdf is $F_{X_n}= 1 - \exp(-nt)$. Let $S_0 = 0, S_n = X_1+\ldots+X_n$, compute successively: $$ f_{S_1,S_2}(s,t) \text{ for } t\geq s \geq 0, f_{S_2}(t) \text{ for } t\geq 0 \text{ and } \mathbb{E}(S_1 | S_2) $$

I tried doing the following: $f_{x_1,x_2} = 2 e^{-x_1}\cdot e^{-2x_2} = 2 e^{-x_1-2x_2}$ . The transformation should be $s_1 = x_1, s_2=x_2+x_1\implies x_2 = s_2-s_1$. The determinant of the Jacobian is $2$, which leads me to : $$ f_{s_1,s_2}(s,t)= 4\cdot e^{-2t+s}$$ But then, how do I derive the marginal? When I integrate by $ds$ I get $+\infty$...did I do something wrong?

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Your formula for $f_{s_1,s_2} (s,t)$ is valid only for $s\leq t$ since $s_1 \leq s_2$. $f_{s_1,s_2} (s,t)=0$ for $s>t$. Now you don't end up with a divergent integral, right?