$\|\|$ is a norm in $R^n$, its dual norm is defined as
$\|s\|^*=max_{\|x\|=1}s^Tx$.
We denote $s^\#$ as any vector in the following set:
[Arg $max_x: \ \ s^Tx-\frac{1}{2}\|x\|^2$]
How to verify the claim $\|s^\#\|=\|s\|^*$?
$\|\|$ is a norm in $R^n$, its dual norm is defined as
$\|s\|^*=max_{\|x\|=1}s^Tx$.
We denote $s^\#$ as any vector in the following set:
[Arg $max_x: \ \ s^Tx-\frac{1}{2}\|x\|^2$]
How to verify the claim $\|s^\#\|=\|s\|^*$?
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Since $\|s\|^* = \displaystyle\max_{\|x\| = 1} s^Tx$, we know that $\|x\| = 1 \implies s^Tx \le \|s\|^*$.
Then, for any $x$, we have $\|\tfrac{1}{\|x\|}x\| = 1$, and so, $s^T(\tfrac{1}{\|x\|}x) \le \|s\|^*$, i.e. $s^Tx \le \|s\|^*\|x\|$.
Then, $s^Tx - \tfrac{1}{2}\|x\|^2 \le \|s\|^*\|x\| - \tfrac{1}{2}\|x\|^2 \le \tfrac{1}{2}(\|s\|^*)^2$. Equality only holds if $\|x\| = \|s\|^*$.
Therefore, if $s^\#$ maximizes $s^Tx - \tfrac{1}{2}\|x\|^2$, then $\|s^\#\| = \|s\|^*$.