TITLE: norm of a quadratic form
QUESTION [5 upvotes]: Suppose that $q$ is a quadratic form on $\mathbb{R}^n$, $q(x)=(x,Ax)$ say (or $q(x)=x^TAx$ if you prefer that notation).  Then one could consider the quantity 
$$
\sup\{ \left|q(x)\right| : \left\| x \right\| \leq 1 \}.
$$
Is this an interesting quantity? In particular when the norm is the $p$-norm for $p \neq 2$?

REPLY [2 votes]: It is, indeed.  You can state the problem as that of maximizing the quadratic form $x^TAx$ subject to the constraint $x^Tx=1$.  It is well known that the maximum you seek is exactly the maximum eigenvalue of $A$ and the $x$ attaining this maximum is the eigenvector associated to this eigenvalue.  Thus, the quantity you are asking about is just the maximum eigenvalue's norm.
More generally, given $A$ symmetric (no loss of generality here) and $B$ positive definite, you can prove that
$$max \{x^TAx\;\;\colon\;\; x^TBx=1\}$$
is the maximum eigenvalue of $B^{-1}A$ at $x$ the corresponding eigenvector.