  We consider a sequence of i.i.d. random variables $\{\xi_k\}$under a
sublinear expectation $\mathbb{E}=\sup_{P\in\Theta}E_P$. We first give a new
proof to the fact that, under each $P\in\Theta$, any cluster point of the
empirical averages $\bar{\xi}_n=(\xi_1+\cdots+\xi_n)/n$ lies in
$[\underline{\mu}, \bar{\mu}]$ with $\underline{\mu}=-\mathbb{E}[-\xi_1],
\bar{\mu}=\mathbb{E}[\xi_1]$. Then, we consider sublinear expectations on a
Polish space $\Omega$, and show that for each constant $\mu\in
[\underline{\mu},\bar{\mu}]$, there exists a probability $P_{\mu}\in\Theta$
such that \begin {eqnarray}\label {intro-a.s.}
\lim_{n\rightarrow\infty}\bar{\xi}_n=\mu, \ P_{\mu}\textmd{-a.s.}, \end
{eqnarray} supposing that $\Theta$ is weakly compact and $\{\xi_n\}\in
L^1_{\mathbb{E}}(\Omega)$. Under the same conditions, we can get a
generalization of (\ref {intro-a.s.}) in the product space
$\Omega=\mathbb{R}^{\mathbb{N}}$ with $\mu\in [\underline{\mu},\bar{\mu}]$
replaced by $\Pi=\pi(\xi_1, \cdots,\xi_d)\in [\underline{\mu},\bar{\mu}]$,
where $\pi$ is a Borel measurable function on $\mathbb{R}^d$, $d\in\mathbb{R}$.
Finally, we characterize the triviality of the tail $\sigma$-algebra of i.i.d.
random variables under a sublinear expectation.
