I was going through the paper:
M. Raginsky, “Shannon meets Blackwell and Le Cam: Channels, codes, and statistical experiments,” IEEE ISIT Proceedings, pp. 1220–1224, 2011. (http://maxim.ece.illinois.edu/pubs/raginsky_ISIT11.pdf)
In page. 2, the author says that "..for any real-valued independent random variables $Z$ and $Z'$, if the law of $Z$ is a convolution factor of the law of $Z'$, then..."
What does it mean to say one p.d.f is a convolution factor of another p.d.f?
I tried going through the reference mention there. It was hard to digest.
Thanks for the help.
Based on the paragraph before that statement in the paper, and the comment above, it just says exactly what the comment says: $\mu$ is a convolution factor for $\nu$ if $\nu = \mu * \lambda$ for some measure $\lambda$.
In the context of the paper (in particular, that example), it simply asks whether $Z = Z' + Q$ for some r.v. $Q$. If that is the case, then you can "simulate" $W = Z + X$ as $W = (Q + Z') + X = Q + (Z' + X) = Q + W'$.