Question:
Recall the definition of the convolution of $f$ and $g$ given by $$(f*g)(x)=\int_{\mathbb{R}^d}f(x-y)g(y)dy.$$ If we only know that $f$ and $g$ are measurable, can we show that $f*g$ is well defined for a.e. $x$, that is, $f(x-y)g(y)$ is integrable?
(Exercise 2.5.21(c) in 'Real Analysis', by Stein and Shakarchi)
Actually, the book writes like this:
Suppose that $f$ and $g$ are measurable functions on $\mathbb{R}^d$.
(a)Prove that $f(x-y)g(y)$ is measurable on $\mathbb{R}^{2d}$.
(b)Show that if $f$ and $g$ are integrable on $\mathbb{R}^d$, then $f(x-y)g(y)$ is integrable on $\mathbb{R}^{2d}$.
(c)Recall the definition of the convolution of $f$ and $g$ given by $$(f*g)(x)=\int_{\mathbb{R}^d}f(x-y)g(y)dy$$ Show that $f*g$ is well defined for a.e. $x$, that is, $f(x-y)g(y)$ is integrable.
Can we use the assumption that $f,g$ are integrable in (c)?