13:18
Let $D(x,y) = \sup_{n \in \mathbb N} \frac{d(x_n , y_n)}{1 + d(x_n , y_n)}$ where $d(.,.)$ is the Euclidean metric on $\mathbb R$.
$\begin{align}D(x,z) &= \sup_{n \in \mathbb N} \frac{d(x_n , z_n)}{1 + d(x_n , z_n)} \le \sup_{n \in \mathbb N} \left ( \frac{d(x_n , y_n)}{1 + d(x_n , y_n)} + \frac{d(y_n , z_n)}{1 + d(y_n , z_n)} \right ) \\ &= \sup_{n \in \mathbb N} (f(y) + g(y)) \le \sup_{n \in \mathbb N} f(y) + \sup_{n \in \mathbb N} g(y) \\ &= \sup_{n \in \mathbb N} \frac{d(x_n , y_n)}{1 + d(x_n , y_n)} + \sup_{n \in \mathbb N} \frac{d(y_n , z_n)}{1 + d(y_n , z_n)} = D(x,y) + D(y,z)\end{align}$.
Let $B'_\varepsilon (x) = \{y \mid D(x,y) \le \varepsilon \}$ denote the closed epsilon ball around $x$.
Note that $D(x,y) \le \varepsilon \iff d(x_n, y_n) \le \frac{\varepsilon}{1 - \varepsilon}$ for all $n$.
Hence $B'_{\varepsilon, D} (x) = \prod_{n \in \mathbb N} B'_{\frac{\varepsilon}{1- \varepsilon}, d} (x_n)$.
That is, a closed ball in the $D$ metric corresponds to a product of closed balls in the Euclidean metric $d$.
The topology generated by the closed balls $B'_D$ is the topology generated by $\{\prod_n B'_{\varepsilon, d}(x_n) \}$ and the topology generated by these products of closed balls is the same as the topology generated by the products of closed sets (I did not prove this, one will have to prove it too). But this is the product topology since it is the coarsest topology such that the projections $\pi_i$ are continuous.
14:04
1. why are we talking about closed balls?
2. let's stick to the metric $\rho = \frac{d}{1+d}$ on $\Bbb R$ as it is *topologically* equivalent to $d$
2. let's stick to the metric $\rho = \frac{d}{1+d}$ on $\Bbb R$ as it is *topologically* equivalent to $d$
And for example, both the product topology and the D-topology on $\Bbb R^\Bbb N$ are metrizable and hence sequential
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