Let (left{mathbf{X}_{n}ight}_{n=1}^{infty}) be a sequence of random vectors that converge almost certainly to a random vector (mathbf{X})
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Let \(\left\{\mathbf{X}_{n}ight\}_{n=1}^{\infty}\) be a sequence of random vectors that converge almost certainly to a random vector \(\mathbf{X}\) as \(n ightarrow \infty\). Prove that for every \(\varepsilon>0\) it follows that
\[\lim _{n ightarrow \infty} P\left(\left\|\mathbf{X}_{m}-\mathbf{X}ight\|<\varepsilon \text { for all } m \geq night)=1\]
Prove the converse as well.
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