In Baby Rudin 3.2, there is a proof for the following:
Theorem. If $\{p_n\}$ converges, then $\{p_n\}$ is bounded.
Proof. Suppose $p_n \rightarrow p$. There is an integer $N$ s.t. $n>N$ implies >$d(p_n, p) < 1$. Put $$r=max\{1, d(p_1,p), d(p_2, p),...d(p_N,p)\}$$ Then $d(p_n, p)<r$ for $n=1,2,3,...$.
I was wondering why there couldn't be a sequence that stretches infinitely far in the negative direction that eventually converges to a point.
I think it might be because I'm still a bit shaky on what can belong to a metric space. It says $\{p_n\}$ is a sequence in metric space X, but can the metric only take on finite values? What's to stop a sequence from taking on non-finite values?
Any help will greatly be appreciated!
The idea of $\{p_n\}$ converging to some limit $p$ is that for large $n$, all $p_n$ will be sufficiently close to $p$.
In other words, given $D > 0$, only finitely many $p_n$ will fail to satisfy $d(p_n, p) < D$ and this is why the function won't "stretch infinitely far in some direction".
By definition, $d(x, y)$ is always a finite real number.