The question is:
If $E[|X|^k]$ exists, does $E[|X|^m]$ exist for $0 \leq m \leq k$? If so, can you prove it?
Here $X$ is just a generic random variable.
I don't know how to solve this problem. I thought about approaching it by first defining $g(x, i) = |x|^i$ for some $i \in \mathbb{R}^+$.
$$ E[g(x,i)] = \int_{x_{\min}}^{x_{\max}} g(x,i) f_X(x) \\ E[g(x,k)] = \int_{x_{\min}}^{x_{\max}} g(x,k) f_X(x) = c $$
where $c$ is some constant. I don't know if this is the right direction or not? Could someone advise?