Functional analysis Classical Banach spaces of sequences and functions Theorem
Clarkson's inequalities
Builds on Lp spaceMeasure spaceParallelogram lawUniformly convex space
Statement
Let be a measure space and let , the Lp space. Write for the norm of .
- If , then
- If and , then
Remarks
The first inequality follows from the same inequality for numbers , integrated over . For numbers, with and , one has since . The parallelogram law gives . Convexity of then bounds by . The second inequality needs a finer argument.
For both inequalities are the parallelogram law, with equality. Clarkson proved them in 1936 to show that is uniformly convex for . If and , then for the first inequality gives .
Going deeper
For a student
The inequalities are the standard route to uniform convexity of for . By the Milman–Pettis theorem, uniform convexity then gives reflexivity of . Through uniform convexity, they can also be used to prove the duality of and without the Radon–Nikodym theorem. The spaces and are not uniformly convex, and the inequalities have no analogue there.
Reading path
To understand this page from the ground up, read these 10 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Lp space concept
- Measure space concept
- Uniformly convex space concept
- Vector space definition
- Inner product definition
- Norm definition
- Inner product space definition
- Norm induced by an inner product definition
- Parallelogram law statement
- Clarkson's inequalities statement
Further reading
About this page
| Tag | 1V11QM5C07 |
|---|---|
| URI | m2://1V11QM5C07 |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 46E30, 46B20 |
| Status | This copy of the site has no build data. Run m2 status 1V11QM5C07. |
| About | Lp space |
| Uses | Lp space, Measure space, Parallelogram law, Uniformly convex space |
| Same as | |
| Changed | 2 November 2026 |
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