Problem
Show: $$\Vert A\Vert_2 = \sup_{0 \neq x \in \mathbb{R}} \frac{x^T A x}{x^T x}$$ where $A$ is symmetric and positive definite.
Try
Since
\begin{align} \Vert A\Vert_2 &= \sup_{0 \neq x \in \mathbb{R}} \frac{\Vert A x\Vert_2}{\Vert x\Vert_2} \\ &= \sup_{0 \neq x \in \mathbb{R}} \frac{x^T A^T A x}{x^T x} \end{align}
So I think the problem boils down to showing
$$ \sup_{x\neq0} x^T A x = \sup_{x\neq0} x^T A^T A x $$
where I'm stuck.
Any help will be appreciated.
Try showing that both sides are equal to the maximal eigenvalue of A, using the fact that there exists an orthonormal basis of eigenvectors.