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Strictly positive measure

Strictly positive measure is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Strictly positive measure rather than just read about it. In short: 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".

Key takeaways

  • Strictly positive measure belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Strictly positive measure to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Strictly positive measure from memory before moving on to harder problems.

Reference excerpt

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. Any uniformly distributed measure on a metric space is strictly positive. Because if there is an nonempty open set with zero measure, then the measure of some open balls will be zero, which contradicts the definition of uniformly distributed.

See also Support (measure theory) – Concept in mathematics − a measure is strictly positive if and only if its support is the whole space.

References

Worked examples

Example 1 — a first encounter with Strictly positive measure

Start with the simplest possible case. Write down what Strictly positive measure claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Strictly positive measure before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Strictly positive measure ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Strictly positive measure

In research
Strictly positive measure appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Strictly positive measure in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Strictly positive measure is common in secondary-school and first-year university syllabi. It links to neighbouring topics Measures (measure theory), so understanding it makes those chapters shorter.
In everyday life
Look for Strictly positive measure outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Strictly positive measure in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Strictly positive measure means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Strictly positive measure out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Strictly positive measure in simple terms?

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".

Why does Strictly positive measure matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Strictly positive measure?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Strictly positive measure.

Tags

  • Measures (measure theory)

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