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> [!definition] Definition. ([[totally bounded]])
> A [[metric space]] $(X, d)$ is said to be **totally bounded** if for every $\varepsilon>0$ there is a finite [[cover|covering]] of $X$ by $\varepsilon$-[[metric topology|balls]].
>
^definition
> [!note] Remarks.
> - Clearly [[compact]] $\implies$ totally bounded. The [[for metric spaces, compact iff complete and totally bounded|converse]] holds if $X$ is [[complete]] ([[for metric spaces, compact iff complete and totally bounded|see]]).
> - Clearly totally bounded $\implies$ [[bounded set|bounded]]. The converse holds e.g. for subsets of finite-dimensional [[norm|normed spaces]].[^1]
>
>- If $\text{dim }X=\infty$, e.g. the closed unit ball is not totally bounded (see [[Riesz's Lemma]])
> [!equivalence] For normed spaces.
>
> A subset $A$ of a [[norm|normed space]] $X$ is [[totally bounded]] if and only if $A$ is bounded and for all $\varepsilon>0$, there exists a *finite-dimensional* [[linear subspace]] $Y \leq X$ [[distance from point to set|such that]] $x_{0} \in A \implies \operatorname{dist}(x_{0},Y)<\varepsilon.$
> "Totally bounded (and in turn compactness) might not be finite dimensional, but is not too far away."
> [!proof]- Proof.
> Let $X$ be a normed space.
>
> $\implies.$ Suppose $A \subset X$ is totally bounded; let $F$, $\# F<\infty$, be an $\varepsilon$-net, $A \subset \bigcup_{x \in F}B^{\circ}_{\varepsilon}(x)$. Now $Y:=\span F$ is finite-dimensional and any $x_{0} \in A$ satisfies $\|x-y\|<\varepsilon$ for some $y \in Y$, thus the result.
>
> $\impliedby$. Fix $\varepsilon>0$. Fix $Y \leq X$ with $\operatorname{dist}(a, Y)<\varepsilon / 2$ for all $a \in A$. Since $A$ is bounded, have $A \subset B_{r}(0)$ for some $r>0$. Now $Y \cap B_{r}(0)$ is a closed bounded subset of a finite dimensional space, hence is [[compact]] by [[Heine-Borel theorem|Heine-Borel]] and so admits a finite $\frac{\varepsilon}{2}$-net. Now triangle.
> [!basicexample]
>
^basic-example
Let $X$ be $\ell^{1 \leq p < \infty}$ or $c_{0}$. Translating the equivalence above, have that $A \subset X$ is totally bounded iff $A$ bounded and tails in $A$ go uniformly to zero: $\sup_{a \in A} \|a - P_{n}a\|_{p} \xrightarrow{n\to \infty}0$.
[^1]: Indeed, [[norm|all norms on finite-dimensional vector spaces are topologically equivalent]] so WLOG consider $(\mathbb{R}^{n}, \|\cdot\|_{\infty})$ and a bounded subset $S$. Using boundedness, fix a cube $Q=[-R,R]^{n} \supset S$. Cleary $Q$ can covered by finitely many $\varepsilon$-cubes, thus so can be $S$.
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#### References
> [!backlink]
> ```dataview
> TABLE rows.file.link as "Further Reading"
> FROM [[]]
> FLATTEN file.tags as Tag
> WHERE Tag = "#definition" OR Tag = "#theorem" OR Tag = "#MOC" OR Tag = "#proposition" OR Tag = "#axiom"
> GROUP BY Tag
> ```
> [!frontlink]
> ```dataview
> TABLE rows.file.link as "Further Reading"
> FROM outgoing([[]])
> FLATTEN file.tags as Tag
> WHERE Tag = "#definition" OR Tag = "#theorem" OR Tag = "#MOC" OR Tag = "#proposition" OR Tag = "#axiom"
> GROUP BY Tag
> ```