Measure and integration Definition
Finite measure
Builds on Measure spaceMeasureProbability measure
Definition
Let be a measure space. The measure is finite if .
Remarks
Lebesgue measure on the Borel sets of is finite, since . Lebesgue measure on the Borel sets of is not finite, since . If is finite, then for every , by monotonicity. Every probability measure is finite. If , then is a probability measure.
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Measure concept
- Measure space concept
- Probability measure concept
- Finite measure definition
Further reading
About this page
| Tag | 55RNFNN39R |
|---|---|
| URI | m2://55RNFNN39R |
| Kind | definition |
| Writing | W0 stub |
| MSC | 28A12 |
| Defines | Finite measure |
| Uses | Measure space, Measure, Probability measure |
| Changed | 2 November 2026 |
Markdown · JSON · Edit on GitHub
What this page needs for W1
- a source with a locator (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.
What links here
No page links to this page yet.