The link between the infinity norm of the difference between matrices and the infinity norm of the difference between these matrices inverted.

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I am trying to develop an inequality and I have a bit of difficulty... The problem is the following one,

$\underline{\text{notations}}$

  • If $A$ is a $n \times n$ matrix with entries $a_{i,j}$, then $|A|_{\infty}$ = $\text{max}_{i,j} |a_{i,j}|$
  • If $A$ is a $n \times n$ matrix, then $A^{-1}$ is the inverse of $A$.

$\underline{\text{problem}}$

We know that:

  • $A$ and $B$ are two positive definite matrices
  • $c$ is a strictly positive constant
  • $|A-B|_{\infty}$ $\leq$ $c$

From this information, is it possible to say something about the upper bound of $|A^{-1}-B^{-1}|_{\infty}$?

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No. Suppose that $A_n=\frac1n\operatorname{Id}$ and that $B=\operatorname{Id}$. Then $(\forall n\in\Bbb N):\|A_n-B\|_\infty\leqslant1$. However,$$\left\|A^{-1}-B^{-1}\right\|_\infty=\|n\operatorname{Id}-\operatorname{Id}\|_\infty,$$which can be arbitrarily large.