Strictly positive measure

In mathematics, strict positivity is a concept in measure theory. Intuitively, a strictly positive measure is one that is "nowhere zero", or that is zero "only on points".

Definition

Let ( X , T ) {\displaystyle (X,T)} be a Hausdorff topological space and let Σ {\displaystyle \Sigma } be a σ {\displaystyle \sigma } -algebra on X {\displaystyle X} that contains the topology T {\displaystyle T} (so that every open set is a measurable set, and Σ {\displaystyle \Sigma } is at least as fine as the Borel σ {\displaystyle \sigma } -algebra on X {\displaystyle X} ). Then a measure μ {\displaystyle \mu } on ( X , Σ ) {\displaystyle (X,\Sigma )} is called strictly positive if every non-empty open subset of X {\displaystyle X} has strictly positive measure.

More concisely, μ {\displaystyle \mu } is strictly positive if and only if for all U T {\displaystyle U\in T} such that U , μ ( U ) > 0. {\displaystyle U\neq \varnothing ,\mu (U)>0.}

Examples

  • Counting measure on any set X {\displaystyle X} (with any topology) is strictly positive.
  • Dirac measure is usually not strictly positive unless the topology T {\displaystyle T} is particularly "coarse" (contains "few" sets). For example, δ 0 {\displaystyle \delta _{0}} on the real line R {\displaystyle \mathbb {R} } with its usual Borel topology and σ {\displaystyle \sigma } -algebra is not strictly positive; however, if R {\displaystyle \mathbb {R} } is equipped with the trivial topology T = { , R } , {\displaystyle T=\{\varnothing ,\mathbb {R} \},} then δ 0 {\displaystyle \delta _{0}} is strictly positive. This example illustrates the importance of the topology in determining strict positivity.
  • Gaussian measure on Euclidean space R n {\displaystyle \mathbb {R} ^{n}} (with its Borel topology and σ {\displaystyle \sigma } -algebra) is strictly positive.
    • Wiener measure on the space of continuous paths in R n {\displaystyle \mathbb {R} ^{n}} is a strictly positive measure — Wiener measure is an example of a Gaussian measure on an infinite-dimensional space.
  • Lebesgue measure on R n {\displaystyle \mathbb {R} ^{n}} (with its Borel topology and σ {\displaystyle \sigma } -algebra) is strictly positive.
  • The trivial measure is never strictly positive, regardless of the space X {\displaystyle X} or the topology used, except when X {\displaystyle X} is empty.

Properties

  • If μ {\displaystyle \mu } and ν {\displaystyle \nu } are two measures on a measurable topological space ( X , Σ ) , {\displaystyle (X,\Sigma ),} with μ {\displaystyle \mu } strictly positive and also absolutely continuous with respect to ν , {\displaystyle \nu ,} then ν {\displaystyle \nu } is strictly positive as well. The proof is simple: let U X {\displaystyle U\subseteq X} be an arbitrary open set; since μ {\displaystyle \mu } is strictly positive, μ ( U ) > 0 ; {\displaystyle \mu (U)>0;} by absolute continuity, ν ( U ) > 0 {\displaystyle \nu (U)>0} as well.
  • Hence, strict positivity is an invariant with respect to equivalence of measures.

See also

  • Support (measure theory) – given a Borel measure, the set of those points whose neighbourhoods always have positive measurePages displaying wikidata descriptions as a fallback − a measure is strictly positive if and only if its support is the whole space.

References

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Measure theory
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