I'm stuck with two problems, both of them involving metric not induced by any norm.
1) $d_p:\mathbb{R}^2 \times \mathbb{R}^2 \longrightarrow \mathbb{R}$
$d_p(x,y) = \left\{ \begin{array}{ll}||x||_2+||y||_2 & \mbox{if } x \neq y \\ 0 & \mbox{if } x=y \end{array} \right.$
I guess this is the French Railways Metric.
2) $d_r:X \times X \longrightarrow \mathbb{R}$, where $(X, ||\cdot ||)$ is a normed space:
$d_p(x,y) = min\{1, ||x-y||\}$
Well, for point 1) I supossed that there's a norm $|| \cdot ||^*:\mathbb{R}^2 \longrightarrow \mathbb{R}$ that $||x||^*=d_p(x,0)$ and I try to use the properties of the metric and prove that $||\cdot||^*$ is not a norm. I readed that the problem usually is prove $||\alpha x||^* = |\alpha| ||x||^*$ but:
- If $\alpha x = 0$ then:
$||\alpha x||^* = d_p(\alpha x,0)=0=|\alpha| ||x||_2 =|\alpha|d_p(x,0) = |\alpha| ||x||^*$
- If $\alpha x \neq 0$ then:
$||\alpha x||^* = d_p(\alpha x,0)=||\alpha x||_2 = |\alpha| ||x||_2=|\alpha|d_p(x,0) = |\alpha| ||x||^*$
Where's my mistake?