Totally bounded space
Template:Short description In topology and related branches of mathematics, total-boundedness is a generalization of compactness for circumstances in which a set is not necessarily closed. A totally bounded set can be covered by 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 is totally bounded if and only if for every real number , there exists a finite collection of open balls of radius whose centers lie in M and whose union contains Template:Mvar. Equivalently, the metric space M is totally bounded if and only if for every , there exists a finite cover such that the radius of each element of the cover is at most . This is equivalent to the existence of a finite ε-net.Template:Sfn A metric space is said to be totally bounded if every sequence admits a Cauchy subsequence; in complete metric spaces, a set is compact if and only if it is closed and totally bounded.[1]
Each totally bounded space is 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:Template:Sfn every discrete ball of radius or less is a singleton, and no finite union of singletons can cover an infinite set.
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 Template:Mvar of a uniform space Template:Mvar is totally bounded if and only if, for any entourage Template:Mvar, there exists a finite cover of Template:Mvar by subsets of Template:Mvar each of whose Cartesian squares is a subset of Template:Mvar. (In other words, Template:Mvar replaces the "size" Template:Math, and a subset is of size Template:Mvar if its Cartesian square is a subset of Template:Mvar.)[2]
The definition can be extended still further, to any category of spaces with a notion of 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.Template:Clarify
- 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.[3]Template:Sfn
- 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.
- Equicontinuous bounded functions on a compact set are precompact in the uniform topology; this is the Arzelà–Ascoli theorem.
- A metric space is separable if and only if it is homeomorphic to a totally bounded metric space.Template:Sfn
- The closure of a totally bounded subset is again totally bounded.Template:Sfn
Comparison with compact sets
In metric spaces, a set is compact if and only if it is complete and totally bounded;[3] 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 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 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).Template:SfnTemplate:SfnTemplate:Sfn
The general logical form of the definition is: a subset of a space is totally bounded if and only if, given any size there exists a finite cover of such that each element of has size at most 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 of the identity, a subset is called (Template:Em) Template:Em if and only if Template:Sfn A subset of a topological group is (Template:Em) Template:Em if it satisfies any of the following equivalent conditions:
- Template:Em: For any neighborhood of the identity there exist finitely many such that
- For any neighborhood of there exists a finite subset such that (where the right hand side is the Minkowski sum ).
- For any neighborhood of there exist finitely many subsets of such that and each is -small.Template:Sfn
- For any given filter subbase of the identity element's neighborhood filter (which consists of all neighborhoods of in ) and for every there exists a cover of by finitely many -small subsets of Template:Sfn
- is Template:Em: for every neighborhood of the identity and every countably infinite subset of there exist distinct such that Template:Sfn (If is finite then this condition is satisfied vacuously).
- Any of the following three sets satisfies (any of the above definitions of) being (left) totally bounded:
- The closure of in Template:Sfn
- This set being in the list means that the following characterization holds: is (left) totally bounded if and only if is (left) totally bounded (according to any of the defining conditions mentioned above). The same characterization holds for the other sets listed below.
- The image of under the canonical quotient which is defined by (where is the identity element).
- The sum Template:Sfn
- The closure of in Template:Sfn
The term Template:Em usually appears in the context of Hausdorff topological vector spaces.Template:SfnTemplate:Sfn In that case, the following conditions are also all equivalent to being (left) totally bounded:
- In the completion of the closure of is compact.Template:SfnTemplate:Sfn
- Every ultrafilter on is a Cauchy filter.
The definition of Template:Em is analogous: simply swap the order of the products.
Condition 4 implies any subset of is totally bounded (in fact, compact; see Template:Slink above). If is not Hausdorff then, for example, is a compact complete set that is not closed.Template:Sfn
Topological vector spaces
Any topological vector space is an abelian topological group under addition, so the above conditions apply. Historically, statement 6(a) was the first reformulation of total boundedness for topological vector spaces; it dates to a 1935 paper of John von Neumann.[4]
This definition has the appealing property that, in a locally convex space endowed with the weak topology, the precompact sets are exactly the 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 is a separable Banach space, then is precompact if and only if every weakly convergent sequence of functionals converges uniformly on [5]
Interaction with convexity
- The balanced hull of a totally bounded subset of a topological vector space is again totally bounded.Template:SfnTemplate:Sfn
- 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 is totally bounded if and only if is complete.Template:Sfn
See also
- Compact space
- Locally compact space
- Measure of non-compactness
- Orthocompact space
- Paracompact space
- Relatively compact subspace
References
Bibliography
- Template:Jarchow Locally Convex Spaces
- Template:Narici Beckenstein Topological Vector Spaces
- Template:Schaefer Wolff Topological Vector Spaces
- Template:Cite book
- Template:Trèves François Topological vector spaces, distributions and kernels
- Template:Cite book
- ↑ Template:Cite web
- ↑ Template:Cite book C.f. definition 39.7 and lemma 39.8.
- ↑ 3.0 3.1 Template:Cite book
- ↑ Template:Cite journal
- ↑ Template:Cite journal