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In
topology In mathematics Mathematics (from Greek: ) includes the study of such topics as numbers (arithmetic and number theory), formulas and related structures (algebra), shapes and spaces in which they are contained (geometry), and quantities ...

and related branches of
mathematics Mathematics (from Greek: ) includes the study of such topics as numbers (arithmetic and number theory), formulas and related structures (algebra), shapes and spaces in which they are contained (geometry), and quantities and their changes (cal ...
, total-boundedness is a generalization of
compactness In mathematics Mathematics (from Greek: ) includes the study of such topics as numbers (arithmetic and number theory), formulas and related structures (algebra), shapes and spaces in which they are contained (geometry), and quantities and ...
for circumstances in which a set is not necessarily Closed (topology), closed. A totally bounded set can be cover (topology), covered by finite set, finitely many subsets of every fixed "size" (where the meaning of "size" depends on the structure of the ambient space.) The term precompact (or pre-compact) is sometimes used with the same meaning, but precompact is also used to mean relatively compact. These definitions coincide for subsets of a complete metric space, but not in general.

# In metric spaces

A metric space $\left(M,d\right)$ is ''totally bounded'' if and only if for every real number $\varepsilon > 0$, there exists a finite collection of open balls in ''M'' of radius $\varepsilon$ whose union contains . Equivalently, the metric space ''M'' is totally bounded if and only if for every $\varepsilon >0$, there exists a finite cover such that the radius of each element of the cover is at most $\varepsilon$. This is equivalent to the existence of a finite ε-net (metric spaces), ε-net. A metric space is said to be ''Cauchy-precompact'' if every sequence admits a Cauchy subsequence; in complete metric spaces, a set is Cauchy-precompact if and only if it is totally bounded. Each totally bounded space is Bounded set, bounded (as the union of finitely many bounded sets is bounded). The reverse is true for subsets of Euclidean space (with the subspace topology), but not in general. For example, an infinite set equipped with the discrete metric is bounded but not totally bounded.

## Uniform (topological) spaces

A metric appears in the definition of total boundedness only to ensure that each element of the finite cover is of comparable size, and can be weakened to that of a uniform structure. A subset of a uniform space is totally bounded if and only if, for any entourage (topology), entourage , there exists a finite cover of by subsets of each of whose Cartesian squares is a subset of . (In other words, replaces the "size" , and a subset is of size if its Cartesian square is a subset of .) C.f. definition 39.7 and lemma 39.8. The definition can be extended still further, to any category of spaces with a notion of compactness (topology), compactness and Cauchy completion: a space is totally bounded if and only if its (Cauchy) completion is compact.

# Examples and elementary properties

* Every compact set is totally bounded, whenever the concept is defined. * Every totally bounded set is bounded. * A subset of the real line, or more generally of finite-dimensional Euclidean space, is totally bounded if and only if it is Bounded set, bounded. * The unit ball in a Hilbert space, or more generally in a Banach space, is totally bounded (in the norm topology) if and only if the space has finite Dimension (linear algebra), dimension. * Equicontinuous bounded functions on a compact set are precompact in the Uniform convergence, uniform topology; this is the Arzelà–Ascoli theorem. * A metric space is Separable space, separable if and only if it is Homeomorphism, homeomorphic to a totally bounded metric space. * The closure of a totally bounded subset is again totally bounded.

## Comparison with compact sets

In metric spaces, a set is compact if and only if it is complete and totally bounded; without the axiom of choice only the forward direction holds. Precompact sets share a number of properties with compact sets. * Like compact sets, a finite union of totally bounded sets is totally bounded. * Unlike compact sets, every subset of a totally bounded set is again totally bounded. * The continuous image of a compact set is compact. The Uniform continuity, ''uniformly'' continuous image of a precompact set is precompact.

# In topological groups

Although the notion of total boundedness is closely tied to metric spaces, the greater algebraic structure of topological groups allows one to trade away some Separation axiom, separation properties. For example, in metric spaces, a set is compact if and only if complete and totally bounded. Under the definition below, the same holds for any topological vector space (not necessarily Hausdorff nor complete). The general Logic (symbolic), logical form of the definition is: a subset $S$ of a space $X$ is totally bounded if and only if, given any size $E,$ there exists a finite cover of $S$ such that each element of $S$ has size at most $E.$ $X$ is then totally bounded if and only if it is totally bounded when considered as a subset of itself. We adopt the convention that, for any neighborhood $U \subseteq X$ of the identity, a subset $S \subseteq X$ is called () if and only if $\left(- S\right) + S \subseteq U.$ A subset $S$ of a topological group $X$ is () if it satisfies any of the following equivalent conditions:
1. : For any neighborhood $U$ of the identity $0,$ there exist finitely many $x_1, \ldots, x_n \in X$ such that $S \subseteq \bigcup_^n \left(x_j + U\right) := \left(x_1 + U\right) + \cdots + \left(x_n + U\right).$
2. For any neighborhood $U$ of $0,$ there exists a finite subset $F \subseteq X$ such that $S \subseteq F + U$ (where the right hand side is the Minkowski sum $F + U := \$).
3. For any neighborhood $U$ of $0,$ there exist finitely many subsets $B_1, \ldots, B_n$ of $X$ such that $S \subseteq B_1 \cup \cdots \cup B_n$ and each $B_j$ is $U$-small.
4. For any given Filters in topology, filter subbase $\mathcal$ of the identity element's neighborhood filter $\mathcal$ (which consists of all neighborhoods of $0$ in $X$) and for every $B \in \mathcal,$ there exists a cover of $S$ by finitely many $B$-small subsets of $X.$
5. $S$ is : for every neighborhood $U$ of the identity and every Countable set, countably infinite subset $I$ of $S,$ there exist distinct $x, y \in I$ such that $x - y \in U.$ (If $S$ is finite then this condition is Vacuous truth, satisfied vacuously).
6. Any of the following three sets satisfy (any of the above definitions) of being (left) totally bounded:
1. The Closure (topology), closure $\overline = \operatorname_X S$ of $S$ in $X.$ * This set being in the list means that the following characterization holds: $S$ is (left) totally bounded if and only if $\operatorname_X S$ is (left) totally bounded (according to any of the defining conditions mentioned above). The same characterization holds for the other sets listed below.
2. The image of $S$ under the First Isomorphism Theorem, canonical quotient $X \to X / \overline,$ which is defined by $x \mapsto x + \overline$ (where $0$ is the identity element).
3. The sum $S + \operatorname_X \.$
The term usually appears in the context of Hausdorff topological vector spaces. In that case, the following conditions are also all equivalent to $S$ being (left) totally bounded:
1. In the Complete topological vector space, completion $\widehat$ of $X,$ the closure $\operatorname_ S$ of $S$ is compact.
2. Every ultrafilter on $S$ is a Cauchy filter.
The definition of is analogous: simply swap the order of the products. Condition 4 implies any subset of $\operatorname_X \$ is totally bounded (in fact, compact; see above). If $X$ is not Hausdorff then, for example, $\$ is a compact complete set that is not closed.

## Topological vector spaces

Any topological vector space is an abelian topological group under addition, so the above conditions apply. Historically, definition 1(b) was the first reformulation of total boundedness for topological vector spaces; it dates to a 1935 paper of John von Neumann. This definition has the appealing property that, in a locally convex space endowed with the Weak topology (polar topology), weak topology, the precompact sets are exactly the Bounded set (topological vector space), bounded sets. For separable Banach spaces, there is a nice characterization of the precompact sets (in the norm topology) in terms of weakly convergent sequences of functionals: if $X$ is a separable Banach space, then $S \subseteq X$ is precompact if and only if every Weak topology, weakly convergent sequence of functionals converges Uniform convergence, uniformly on $S.$

### Interaction with convexity

• The Balanced set, balanced hull of a totally bounded subset of a topological vector space is again totally bounded.
• The Minkowski sum of two compact (totally bounded) sets is compact (resp. totally bounded).
• In a locally convex (Hausdorff) space, the convex hull and the disked hull of a totally bounded set $K$ is totally bounded if and only if $K$ is complete.