Separable space explained
of elements of the space such that every nonempty open subset of the space contains at least one element of the sequence.
Like the other axioms of countability, separability is a "limitation on size", not necessarily in terms of cardinality (though, in the presence of the Hausdorff axiom, this does turn out to be the case; see below) but in a more subtle topological sense. In particular, every continuous function on a separable space whose image is a subset of a Hausdorff space is determined by its values on the countable dense subset.
Contrast separability with the related notion of second countability, which is in general stronger but equivalent on the class of metrizable spaces.
First examples
Any topological space that is itself finite or countably infinite is separable, for the whole space is a countable dense subset of itself. An important example of an uncountable separable space is the real line, in which the rational numbers form a countable dense subset. Similarly the set of all length-
vectors of rational numbers,
\boldsymbol{r}=(r1,\ldots,rn)\inQn
, is a countable dense subset of the set of all length-
vectors of real numbers,
; so for every
,
-dimensional
Euclidean space is separable.
A simple example of a space that is not separable is a discrete space of uncountable cardinality.
Further examples are given below.
Separability versus second countability
Any second-countable space is separable: if
is a countable base, choosing any
from the non-empty
gives a countable dense subset. Conversely, a
metrizable space is separable if and only if it is second countable, which is the case if and only if it is
Lindelöf.
To further compare these two properties:
- An arbitrary subspace of a second-countable space is second countable; subspaces of separable spaces need not be separable (see below).
- Any continuous image of a separable space is separable ; even a quotient of a second-countable space need not be second countable.
- A product of at most continuum many separable spaces is separable . A countable product of second-countable spaces is second countable, but an uncountable product of second-countable spaces need not even be first countable.
We can construct an example of a separable topological space that is not second countable. Consider any uncountable set
, pick some
, and define the topology to be the collection of all sets that contain
(or are empty). Then, the closure of
is the whole space (
is the smallest closed set containing
), but every set of the form
is open. Therefore, the space is separable but there cannot have a countable base.
Cardinality
The property of separability does not in and of itself give any limitations on the cardinality of a topological space: any set endowed with the trivial topology is separable, as well as second countable, quasi-compact, and connected. The "trouble" with the trivial topology is its poor separation properties: its Kolmogorov quotient is the one-point space.
. In such a space,
closure is determined by limits of sequences and any convergent sequence has at most one limit, so there is a surjective map from the set of convergent sequences with values in the countable dense subset to the points of
.
A separable Hausdorff space has cardinality at most
, where
is the cardinality of the continuum. For this closure is characterized in terms of
limits of filter bases: if
and
, then
if and only if there exists a filter base
consisting of subsets of
that converges to
. The cardinality of the set
of such filter bases is at most
. Moreover, in a Hausdorff space, there is at most one limit to every filter base. Therefore, there is a surjection
when
The same arguments establish a more general result: suppose that a Hausdorff topological space
contains a dense subset of cardinality
.Then
has cardinality at most
and cardinality at most
if it is first countable.
The product of at most continuum many separable spaces is a separable space . In particular the space
of all functions from the real line to itself, endowed with the product topology, is a separable Hausdorff space of cardinality
. More generally, if
is any infinite cardinal, then a product of at most
spaces with dense subsets of size at most
has itself a dense subset of size at most
(Hewitt–Marczewski–Pondiczery theorem).
Constructive mathematics
Separability is especially important in numerical analysis and constructive mathematics, since many theorems that can be proved for nonseparable spaces have constructive proofs only for separable spaces. Such constructive proofs can be turned into algorithms for use in numerical analysis, and they are the only sorts of proofs acceptable in constructive analysis. A famous example of a theorem of this sort is the Hahn–Banach theorem.
Further examples
Separable spaces
- Every compact metric space (or metrizable space) is separable.
- Any topological space that is the union of a countable number of separable subspaces is separable. Together, these first two examples give a different proof that
-dimensional Euclidean space is separable.
of all continuous functions from a
compact subset
to the real line
is separable.
, over a measure space
\left\langleX,l{M},\mu\right\rangle
whose σ-algebra is countably generated and whose measure is σ-finite, are separable for any
.
[1]
of
continuous real-valued functions on the
unit interval
with the metric of
uniform convergence is a separable space, since it follows from the
Weierstrass approximation theorem that the set
of polynomials in one variable with rational coefficients is a countable dense subset of
. The
Banach–Mazur theorem asserts that any separable
Banach space is isometrically isomorphic to a closed
linear subspace of
.
- A Hilbert space is separable if and only if it has a countable orthonormal basis. It follows that any separable, infinite-dimensional Hilbert space is isometric to the space
of square-summable sequences.
, the set of real numbers equipped with the
lower limit topology.
- A separable σ-algebra is a σ-algebra
that is a separable space when considered as a
metric space with
metric \rho(A,B)=\mu(A\triangleB)
for
and a given finite
measure
(and with
being the
symmetric difference operator).
[2] Non-separable spaces
, equipped with its natural
order topology, is not separable.
of all bounded real sequences, with the
supremum norm, is not separable. The same holds for
.
Properties
- A subspace of a separable space need not be separable (see the Sorgenfrey plane and the Moore plane), but every open subspace of a separable space is separable . Also every subspace of a separable metric space is separable.
- In fact, every topological space is a subspace of a separable space of the same cardinality. A construction adding at most countably many points is given in ; if the space was a Hausdorff space then the space constructed that it embeds into is also a Hausdorff space.
- The set of all real-valued continuous functions on a separable space has a cardinality equal to
, the
cardinality of the continuum. This follows since such functions are determined by their values on dense subsets.
- From the above property, one can deduce the following: If X is a separable space having an uncountable closed discrete subspace, then X cannot be normal. This shows that the Sorgenfrey plane is not normal.
- For a compact Hausdorff space X, the following are equivalent:
Embedding separable metric spaces
- Every separable metric space is homeomorphic to a subset of the Hilbert cube. This is established in the proof of the Urysohn metrization theorem.
- Every separable metric space is isometric to a subset of the (non-separable) Banach space l∞ of all bounded real sequences with the supremum norm; this is known as the Fréchet embedding.
- Every separable metric space is isometric to a subset of C([0,1]), the separable Banach space of continuous functions [0,1] → R, with the supremum norm. This is due to Stefan Banach.
- Every separable metric space is isometric to a subset of the Urysohn universal space.
For nonseparable spaces:
- A metric space of density equal to an infinite cardinal is isometric to a subspace of, the space of real continuous functions on the product of copies of the unit interval.
Notes and References
- Book: Donald L. Cohn. 2013. en. Springer Science+Business Media. Measure Theory., 3.4.5.
- Džamonja. Mirna. Kunen. Kenneth. Kenneth Kunen. Properties of the class of measure separable compact spaces. Fundamenta Mathematicae. 1995. 262. If
is a Borel measure on
, the measure algebra of
is the Boolean algebra of all Borel sets modulo
-null sets. If
is finite, then such a measure algebra is also a metric space, with the distance between the two sets being the measure of their symmetric difference. Then, we say that
is separable iff this metric space is separable as a topological space.. 1994math......8201D. math/9408201.