I have two independent (but not necessarily identically distributed) random variables: $X>0, Y>0$. All of their moments are known but we don't know the distributions.
Can we find an upper bound for $E[min(X,Y)]$ that is better than $min(E[X],E[Y])$ with the information given without knowing the distributions?