Functional analysis Definition
Lp space
Builds on Measure spaceMeasurable functionIntegral of a non-negative functionAlmost everywhereEquivalence classNorm
Definition
Let be a measure space, let be or , and let . Let be the set of measurable functions with , an integral of a non-negative function. Call when almost everywhere. The space is the set of equivalence classes of under , with pointwise operations on representatives. Its norm is
Remarks
Example: on with Lebesgue measure, lies in for every , since .
Non-example: on is in but not in . Indeed , while .
The operations and the norm do not depend on the representatives. The map is a norm by the Minkowski inequality, and forces almost everywhere. With this norm is a Banach space, by the Riesz–Fischer theorem. For one uses the essential supremum instead, which gives the space L-infinity. With the counting measure on , is the sequence space .
Reading path
To understand this page from the ground up, read these 23 pages in order. The foundations come first.
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- no evidence level
- Almost everywhere concept
- Element definition
- Integral of a non-negative function concept
- Measurable function concept
- Measure space concept
- Proposition concept
- Vector space definition
- Set definition
- Implication definition
- Predicate definition
- Norm definition
- Ordered pair definition
- Set-builder notation concept
- Universal quantifier definition
- Cartesian product definition
- Subset definition
- Binary relation definition
- Reflexive relation definition
- Symmetric relation definition
- Transitive relation definition
- Equivalence relation definition
- Equivalence class definition
- Lp space definition
Further reading
About this page
| Tag | 7KGF78FGEF |
|---|---|
| URI | m2://7KGF78FGEF |
| Kind | definition |
| Writing | W0 stub |
| MSC | 46E30, 28A25 |
| Defines | Lp space |
| Uses | Measure space, Measurable function, Integral of a non-negative function, Almost everywhere, Equivalence class, Norm |
| Changed | 2 November 2026 |
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