Get normalised eigenvectors

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I am given the matrix:

$\begin{pmatrix} a & b \\ b & -a \end{pmatrix}$

and I already calculated the eigenvalues $\lambda = \pm \sqrt{a^2+b^2}$. Now, I want to get the normalised eigenvectors, so that there norm is equal to 1. Unfortunately, I seem to be incapable of carrying out this cumbersome calculation. Does anybody know if there is an easy way to do this?

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$$\lambda I-A=\begin{pmatrix}\lambda-a&-b\\-b&\lambda+a\end{pmatrix}$$

Substituting in the above and forming tha corresponding homogeneous system (and pay attention to the fact that only one equation is needed (why?)) when:

$$\lambda=\pm\sqrt{a^2+b^2}\;\;\implies\;\;\;(\pm\sqrt{a^2+b^2}-a)x-by=0\iff x=\frac b{\pm\sqrt{a^2+b^2}-a}y$$

Thus, we get two eigenvectors (one for each eigenvalues), for example

$$\binom{b}{\sqrt{a^2+b^2}-a}\;,\;\;\binom b{-\sqrt{a^2+b^2}-a}$$

Now, orthonormalize the above (why can you?) . Easier than this in the general case I can't do it.