Is there anyone could help to solve the following problem:
Suppose $\,h\left(x\right)\,$ is a known function and $\,y\left(x\right)\,$ is unknown, you may assume these two are nice functions. I am wondering how to get y here, say, express y by h without integral form? Actually, I have not got any clues to deal with it at this moment. So I use "nice" function, which means you can do any operation as you want to solve it.
$$y\left(s\right)=\int_0^{\infty} h\left(su\right)\, y\left(su\right)\, du$$
Considering a few people wants me to give more details: This question comes from an equation: $$Z=A(B+Z)$$ where you may consider A, B and Z are random variables and they are all independent. I am interested in what is the distribution of Z would look like. Then take the moment generating on both side ( You may want to use Laplace transform if you are worried about integrability. However,as I said, deal with nice function and you can omit it for a second.) and then take conditional probability on A on right hand side. This kind of integral is solvable when random variable has a finite range,say from a to b where a and b are finite numbers. But thing turns out to be difficult if $\infty$ is involved, so you will find: $$M_Z(s)=\int_0^\infty M_B(sa) M_Z(sa) dF_A(a)$$
and my question is how to get $M_Z(s)$.
Welcome any suggestions.