Separable space

Source: Wikipedia, the free encyclopedia.

In

dense subset; that is, there exists a sequence
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

metrizable
spaces.

First examples

Any topological space that is itself

rational numbers
form a countable dense subset. Similarly the set of all length-
vectors of rational numbers, , 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 (
    quotient
    of a second-countable space need not be second countable.
  • A product of at most continuum many separable spaces is separable (Willard 1970, p. 109, Th 16.4c). 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

Kolmogorov quotient
is the one-point space.

A

first-countable, separable Hausdorff space (in particular, a separable metric space) has at most the continuum cardinality
. 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 (Willard 1970, p. 109, Th 16.4c). 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

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.
  • The space of all continuous functions from a compact subset to the real line is separable.
  • The Lebesgue spaces , over a measure space whose σ-algebra is countably generated and whose measure is σ-finite, are separable for any .[1]
  • The space 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.
  • An example of a separable space that is not second-countable is the
    Sorgenfrey line
    , 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
    for and a given finite measure (and with being the symmetric difference operator).[2]

Non-separable spaces

Properties

Embedding separable metric spaces

  • Every separable metric space is
    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. (Heinonen 2003)
  • 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. (Heinonen 2003)
  • 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 α is isometric to a subspace of C([0,1]α, R), the space of real continuous functions on the product of α copies of the unit interval. (Kleiber & Pervin 1969)

References

  1. ^ Donald L. Cohn (2013). Measure Theory. Springer Science+Business Media., Proposition 3.4.5.
  2. . 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.