The question I'm working on goes like this (from Strang's Linear Algebra 4th edition):
Find the SVD from the eigenvectors $\vec{v}_1, \vec{v}_2$ of $A^TA$ and $A\vec{v}_i=\sigma_i\vec{u}_i$: $$\mathbf{Fibonacci\; matrix}\quad A=\begin{bmatrix}1&1\\1&0\end{bmatrix}.$$
I've calculated $A^TA$ to be $\begin{bmatrix}2&1\\1&1\end{bmatrix}$, and its eigenvalues are $\lambda_1=\frac{3+\sqrt{5}}{2}$ and $\lambda_2=\frac{3-\sqrt{5}}{2}$, which means that the diagonal matrix in the SVD is $\Sigma=\begin{bmatrix}\sqrt{\frac{3+\sqrt{5}}{2}}&0\\0&\sqrt{\frac{3-\sqrt{5}}{2}}\end{bmatrix}$.
And that's where I lose it. My professor rushed through SVD, so I still don't fully understand the process, and the simple examples we did in class don't help much here. Any help would be very much appreciated!
Edit: I've worked out that the unit eigenvectors of $A^TA$ are $\vec{v}_1=\sqrt{\frac{2}{5+\sqrt{5}}}\begin{bmatrix}\frac{2}{1-\sqrt{5}}\\-1\end{bmatrix}$ and $\vec{v}_2=\sqrt{\frac{2}{5-\sqrt{5}}}\begin{bmatrix}\frac{2}{1+\sqrt{5}}\\-1\end{bmatrix}$, but I don't know where to go from here.