Given $A \in \mathbb{R}^{m \times n}$, show that there exists a $v$, s.t. $\|v\| = 1$ and $A^T A v = \|A\|_2^2 v$, where $$\|A\|_2 :=\max_{\|v\|=1}\|Av\|$$ is the spectral norm.
My attempt:
By the spectral theorem there exists $O \in O(\mathbb{R}^m): A^TA = O^TDO$, with $D$ diagonal. Now:
$$||A^TA||_2= \max_{||v||=1}||A^TAv||= \max_{||v||=1}\sqrt{v^TO^TDOO^TDOv}= \max_{||v||=1}||DOv||= \max_{||v||=1}||Dv||=|\lambda_{\max}|$$
With $\lambda_{\max}$ the largest eigenvalue by absolute value. So if I new that $\lambda_{\max}\geq 0$ I would know $\exists v: A^TAv=||A^TA||_2v$. Now I would only have to show that $||A||_2^2= ||A^TA||_2$, but somehow I can’t find a way to show that. I‘d be really thankful for some help:)
Because $A^TA$ is unitarily diagonalizable (i.e., the Spectral Theorem applies), it is easy to show that $$ \|A^TA\|=\sup\{\langle A^TAv,v\rangle:\ \|v\|=1\}=\sup\{\|Av\|^2:\ \|v\|=1\}=\|A\|^2. $$
For more details if $A^TA=U^TDU$ with $D$ diagonal, \begin{align} \sup\{\langle A^TAv,v\rangle:\ \|v\|=1\}&=\sup\{\langle D\,Uv,Uv\rangle:\ \|v\|=1\}\\[0.3cm] &=\sup\{\langle Dv,v\rangle:\ \|v\|=1\}\\[0.3cm] &=\|D\|=\|A^TA\|. \end{align}