I want to show topological equivalence of metrics using the definition I've been given. Which is:
If we take two metric spaces on the same set $X$, with metrics $g_1, g_2$ then they are equivalent iff
$\forall x \in X, \forall \epsilon>0, \exists \delta>0$ such that the open balls nest, i.e. $B_{g_1}(x, \delta) \subset B_{g_2}(x, \epsilon)$ and $B_{g_2}(x, \delta) \subset B_{g_1}(x, \epsilon)$.
After attempting to use this definition on the metric spaces, $(X=\mathbb{R}^n, g_1=\|x-y\|_1)$, $(X=\mathbb{R}^n, g_2= \|x-y\|_{\infty})$ I feel like there is something wrong with the definition.
My attempt:
If we take an arbitrary $y \in B_{g_1}(x, \delta)$, then we have that: $$ g_1(x,y) < \delta \implies \sum_{i=1}^n|x_i - y_i| < \delta $$ then if we take any $\epsilon < \delta$, we must also have that $y \in B_{g_2}(x, \epsilon)$ since the maximum is always less than the sum of all the terms as they are all positive.
Conversely, if we take $y \in B_{g_2}(x, \delta)$, then: $$ g_2(x,y) < \delta \implies \max|x_i - y_i| < \delta $$
but it is impossible for $y$ to be in $B_{g_1}(x, \epsilon)$ when $\epsilon < \delta$, since in the best case, we can tale all the other terms to be zero apart from the maximum term?
Am I misunderstanding something or is the definition incorrect?