Probability theory and stochastic processes Proposition
Continuity of probability measures
Builds on Probability spaceProbability measure
Statement
Let be a probability space. If are events and , then . If are events and , then .
Remarks
The first part is continuity from below. Its proof writes as the disjoint union of and the sets , and uses countable additivity. The second part, continuity from above, follows from the first part with the complements . For a general measure , continuity from above needs . A probability measure is finite, so this holds. For example, for a real random variable . This gives the right continuity of the cumulative distribution function.
Reading path
To understand this page from the ground up, read these 29 pages in order. The foundations come first.
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- no evidence level
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Universal quantifier definition
- Subset definition
- The rationals form an ordered field statement
- Power set definition
- Universal set definition
- Order on the reals definition
- Complement definition
- Interval definition
- Sigma-algebra definition
- Event definition
- Probability axioms concept
- Probability measure definition
- Probability space definition
- Continuity of probability measures statement
Where this leads
5 pages build on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Measure_(mathematics), Continuity from below
About this page
| Tag | 0X8HBKCSYB |
|---|---|
| URI | m2://0X8HBKCSYB |
| Aliases | continuity-from-below, continuity-from-above |
| Kind | statement, proposition |
| Writing | W0 stub |
| MSC | 60A10 |
| Status | This copy of the site has no build data. Run m2 status 0X8HBKCSYB. |
| Uses | Probability space, Probability measure |
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