Separable space explained

\{xn

infty
\}
n=1

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-

n

vectors of rational numbers,

\boldsymbol{r}=(r1,\ldots,rn)\inQn

, is a countable dense subset of the set of all length-

n

vectors of real numbers,

Rn

; so for every

n

,

n

-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

\{Un\}

is a countable base, choosing any

xn\inUn

from the non-empty

Un

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:

We can construct an example of a separable topological space that is not second countable. Consider any uncountable set

X

, pick some

x0\inX

, and define the topology to be the collection of all sets that contain

x0

(or are empty). Then, the closure of

{x0}

is the whole space (

X

is the smallest closed set containing

x0

), but every set of the form

\{x0,x\}

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.

ak{c}

. 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

X

.

A separable Hausdorff space has cardinality at most

2ak{c}

, where

ak{c}

is the cardinality of the continuum. For this closure is characterized in terms of limits of filter bases: if

Y\subseteqX

and

z\inX

, then

z\in\overline{Y}

if and only if there exists a filter base

l{B}

consisting of subsets of

Y

that converges to

z

. The cardinality of the set

S(Y)

of such filter bases is at most
2|Y|
2
. Moreover, in a Hausdorff space, there is at most one limit to every filter base. Therefore, there is a surjection

S(Y)X

when

\overline{Y}=X.

The same arguments establish a more general result: suppose that a Hausdorff topological space

X

contains a dense subset of cardinality

\kappa

.Then

X

has cardinality at most
2\kappa
2
and cardinality at most

2\kappa

if it is first countable.

The product of at most continuum many separable spaces is a separable space . In particular the space

RR

of all functions from the real line to itself, endowed with the product topology, is a separable Hausdorff space of cardinality

2ak{c}

. More generally, if

\kappa

is any infinite cardinal, then a product of at most

2\kappa

spaces with dense subsets of size at most

\kappa

has itself a dense subset of size at most

\kappa

(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

n

-dimensional Euclidean space is separable.

C(K)

of all continuous functions from a compact subset

K\subseteqR

to the real line

R

is separable.

Lp\left(X,\mu\right)

, 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\leqp<infty

.[1]

C([0,1])

of continuous real-valued functions on the unit interval

[0,1]

with the metric of uniform convergence is a separable space, since it follows from the Weierstrass approximation theorem that the set

Q[x]

of polynomials in one variable with rational coefficients is a countable dense subset of

C([0,1])

. The Banach–Mazur theorem asserts that any separable Banach space is isometrically isomorphic to a closed linear subspace of

C([0,1])

.

\ell2

of square-summable sequences.

S

, the set of real numbers equipped with the lower limit topology.

l{F}

that is a separable space when considered as a metric space with metric

\rho(A,B)=\mu(A\triangleB)

for

A,B\inl{F}

and a given finite measure

\mu

(and with

\triangle

being the symmetric difference operator).[2]

Non-separable spaces

\omega1

, equipped with its natural order topology, is not separable.

\ellinfty

of all bounded real sequences, with the supremum norm, is not separable. The same holds for

Linfty

.

Properties

ak{c}

, the cardinality of the continuum. This follows since such functions are determined by their values on dense subsets.

Embedding separable metric spaces

For nonseparable spaces:

Notes and References

  1. Book: Donald L. Cohn. 2013. en. Springer Science+Business Media. Measure Theory., 3.4.5.
  2. Džamonja. Mirna. Kunen. Kenneth. Kenneth Kunen. Properties of the class of measure separable compact spaces. Fundamenta Mathematicae. 1995. 262. If

    \mu

    is a Borel measure on

    X

    , the measure algebra of

    (X,\mu)

    is the Boolean algebra of all Borel sets modulo

    \mu

    -null sets. If

    \mu

    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

    \mu

    is separable iff this metric space is separable as a topological space.. 1994math......8201D. math/9408201.