Support (measure theory)


In mathematics, the support of a measure μ on a measurable topological space is a precise notion of where in the space X the measure "lives". It is defined to be the smallest subset of X for which every open neighbourhood of every point of the set has positive measure.

Motivation

A measure on a measurable space is really a function. Therefore, in terms of the usual definition of support, the support of is a subset of the σ-algebra :
where the overbar denotes set closure. However, this definition is somewhat unsatisfactory: we use the notion of closure, but we do not even have a topology on. What we really want to know is where in the space the measure is non-zero. Consider two examples:
  1. Lebesgue measure on the real line. It seems clear that "lives on" the whole of the real line.
  2. A Dirac measure at some point. Again, intuition suggests that the measure "lives at" the point, and nowhere else.
In light of these two examples, we can reject the following candidate definitions in favour of the one in the next section:
  1. We could remove the points where is zero, and take the support to be the remainder. This might work for the Dirac measure, but it would definitely not work for : since the Lebesgue measure of any singleton is zero, this definition would give empty support.
  2. By comparison with the notion of strict positivity of measures, we could take the support to be the set of all points with a neighbourhood of positive measure:
However, the idea of "local strict positivity" is not too far from a workable definition:

Definition

Let be a topological space; let B denote the Borel σ-algebra on X, i.e. the smallest sigma algebra on X that contains all open sets UT. Let μ be a measure on. Then the support of μ is defined as the set of all points x in X for which every open neighbourhood Nx of x has positive measure:
Some authors prefer to take the closure of the above set. However, this is not necessary: see "Properties" below.
An equivalent definition of support is as the largest C ∈ B such that every open set which has non-empty intersection with C has positive measure, i.e. the largest C such that:

Properties

Lebesgue measure

In the case of Lebesgue measure λ on the real line R, consider an arbitrary point xR. Then any open neighbourhood Nx of x must contain some open interval for some ε > 0. This interval has Lebesgue measure 2ε > 0, so λ ≥ 2ε > 0. Since xR was arbitrary, supp = R.

Dirac measure

In the case of Dirac measure δp, let xR and consider two cases:
  1. if x = p, then every open neighbourhood Nx of x contains p, so δp = 1 > 0;
  2. on the other hand, if xp, then there exists a sufficiently small open ball B around x that does not contain p, so δp = 0.
We conclude that supp is the closure of the singleton set, which is itself.
In fact, a measure μ on the real line is a Dirac measure δp for some point p if and only if the support of μ is the singleton set. Consequently, Dirac measure on the real line is the unique measure with zero variance .

A uniform distribution

Consider the measure μ on the real line R defined by
i.e. a uniform measure on the open interval. A similar argument to the Dirac measure example shows that supp = . Note that the boundary points 0 and 1 lie in the support: any open set containing 0 contains an open interval about 0, which must intersect, and so must have positive μ-measure.

A nontrivial measure whose support is empty

The space of all countable ordinals with the topology generated by "open intervals", is a locally compact Hausdorff space. The measure that assigns measure 1 to Borel sets containing an unbounded closed subset and assigns 0 to other Borel sets is a Borel probability measure whose support is empty.

A nontrivial measure whose support has measure zero

On a compact Hausdorff space the support of a non-zero measure is always non-empty, but may have measure 0. An example of this is given by adding the first uncountable ordinal Ω to the previous example: the support of the measure is the single point Ω, which has measure 0.

Signed and complex measures

Suppose that μ : Σ → is a signed measure. Use the Hahn decomposition theorem to write
where μ± are both non-negative measures. Then the support of μ is defined to be
Similarly, if μ : Σ → C is a complex measure, the support of μ is defined to be the union of the supports of its real and imaginary parts.