The expectation values of the 1D simple random walk $S_n$ can be shown to have the asymptotic behavior of $$ \lim_{n\to\infty} \frac{a_n}{n^{1/2}} = \sqrt{\frac{2}{\pi}}, \tag{1}\label{1}$$
with $a_n = S_n$.
On the other hand, the Riemann Hypothesis is famously equivalent to the statement that
$$ \lim_{n\to\infty} \frac{a_n}{n^{1/2 +\varepsilon}} = 0, \tag{2}\label{2}$$ for any fixed $\varepsilon>0$ and setting $a_n=L(n)$, the cumulative (or summatory) Liouville function $L(n)=\sum_n \lambda(n)$.
I am interested in about what we know on the difference between the two asymptotic behaviours \eqref{1} and \eqref{2}. Clearly the random walk asymptotics \eqref{1} implies \eqref{2} but not vice versa.
How can it be shown that $a_n=L(n)$ violates \eqref{1}, would its fulfillment have interesting implications? Are there other/simple examples of $a_n$ that fulfill \eqref{2}?