matrix representation of pure quaternion

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A little background knowledge. We know that the imaginary quaternions $\mathrm{Im}\mathbb{H} = \mathrm{span}\{\sigma_1, \sigma_2, \sigma_3\}$and $\mathbb{R}^3$ are lie algebra isomorphims, i.e. $$ (\mathrm{Im} \mathbb{H}, [ , ]) \simeq (\mathbb{R}^3, \times), $$ where $\sigma_\alpha$ denotes the Pauli-matrices. The identification $$ X = -i\sum\limits_{\alpha=1}^{3}X_\alpha \sigma_\alpha \in \mathrm{Im}\mathbb{H} \longleftrightarrow X = (X_1,X_2,X_3) \in \mathbb{R}^3 $$ provides us with the following matrix reprensentation $$ X = \begin{pmatrix}-iX_3&-iX_1-X_2\\-iX_1 + X_2&iX_3\end{pmatrix}. $$ Now i have a matrix
$$ U = \frac{2u}{\beta^2}\begin{pmatrix}-i(u+u^{-1})&-i\bar{a}\\-ia&i(u+u^{-1})\end{pmatrix} \in \mathrm{Im}\mathbb{H}, $$ where $u$ is a positive real-valued function, $a$ a complex-valued function and $\beta^2 = 2 + \left|a\right|^2 + u^2 + u^{-2}$. I am having a hard time to transform $U$ into a vector in $\mathbb{R}^3$ by using this identification from above. I know that $X_3 = u + u^{-1}$. But I don't know how to obtain $X_1$ and $X_2$, respectively , since we have different entries on the off-diagonals. In the end I want to calculate the norm of the desired vector in $\mathbb{R}^3$. The desired result should be $$ \left|U\right|_{\mathbb{R}^3} = \frac{2u}{\beta} $$ Any suggenstions?

Thanks in advance :)

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By visual comparison, $X_3 = \dfrac {2u} {\beta^2} (u + u^{-1})$. If $a = A + \Bbb i B$, then

$$- \Bbb i X_1 + X_2 = \frac {2u} {\beta^2} (- \Bbb i a) = \frac {2u} {\beta^2} [- \Bbb i (A + \Bbb i B)] = - \Bbb i A \frac {2u} {\beta^2} + B \frac {2u} {\beta^2} \ ,$$

which gives $X_1 = A \dfrac {2u} {\beta^2} = \Re (a) \dfrac {2u} {\beta^2}$ and $X_2 = B \dfrac {2u} {\beta^2} = \Im (a) \dfrac {2u} {\beta^2}$.

Therefore, the isomorphism is

$$U \mapsto \frac {2u} {\beta^2} \big( u + u^{-1}, \Re (a), \Im (a) \big) \ .$$