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Apologies in advance: I am new to math.stackexchange and do not know how to properly link.

It is well known that a norm $||\cdot||$ on a vector space $V$ induces a translation invariant, homogeneous metric $d$ on $V$ via $d(x,y) = ||x-y||$.

Conversely, it is easy to show that a translation invariant, homogeneous metric $d$ on a (real) vector space $V$ induces a norm via the map $v\to d(v,0)$.

In their reply to Not every metric is induced from a norm , the user C-Star-W-Star [user:79762] states:

"Every homogeneous metric induces a norm via: \begin{equation}||x|| := d(x,0). \end{equation}

C-Star-W-Star then shows that the metric induced by this norm is the original metric only if the original metric is translation invariant.

My question: How can one show the triangle inequality holds for this $||x||$ without assuming that $d$ is translation invariant?

tjevans
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    I think there is no way to avoid "translation invariant " property of the metric to prove the triangle inequality of norm. – Sourav Ghosh Nov 30 '21 at 02:51
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    I am grateful for this comment. I spent a good portion of my day trying to prove it without success. Of course this, by itself, means nothing, but I am happy to have you suggest that it is not possible! – tjevans Nov 30 '21 at 04:06

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