I don't really understand the question below:

A matrix can have small eigenvalues but large spectral norm (i.e., largest singular value). Find such a matrix A of proper dimension so that all of its eigenvalues λ satisfy |λ| < 0.5, but its spectral norm satisfies ||A|| ≥ K for some K > 0 that can be made arbitrarily large.

I feel like I need to start with the definition of the spectral norm: $$||A||=\sqrt{\lambda_{\max}(A^TA)}$$

Not really sure if that's the right place to start or where to go from there. Any and all help is appreciated!



1 Answer 1


Start with $A=\begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix}$ and find $\|A\| = 1$. Then $\| K A \| = |K|$. All eigenvalues are zero.

  • $\begingroup$ $||KA|| =|K|$ but how does that prove that $||A||\geq K$? Thank you for your help $\endgroup$ Mar 22, 2016 at 17:48
  • 1
    $\begingroup$ Pick $K$. Then choose the matrix $KA$, which has eigenvalues that satisfy $|\lambda| < {1 \over 2}$ and $\|KA\| = K$. If you would rather, pick $K$ then define $A=\begin{bmatrix} 0 & K \\ 0 & 0 \end{bmatrix}$. Same effect. $\endgroup$
    – copper.hat
    Mar 22, 2016 at 18:00
  • $\begingroup$ Thanks so much! This makes sense....In hindsight it's a pretty simple problem. $\endgroup$ Mar 23, 2016 at 16:58

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