Functional analysis Normed and Banach spaces Theorem
Dvoretzky's theorem
Builds on Normed vector spaceLinear subspaceNorm induced by an inner productType and cotypeBanach–Mazur compactum
Statement
Let be an integer and let . Then there is an integer with the following property. Let be a real normed space of dimension at least . Then has a -dimensional linear subspace with a linear map such that where is the Euclidean norm of .
Remarks
The theorem was proved by Dvoretzky. V. Milman gave a proof based on concentration of measure on the high-dimensional sphere. His proof shows that one can take of order in a space of dimension . The idea: a norm, seen as a Lipschitz function on the Euclidean sphere, is almost constant on most of the sphere. A random -dimensional subspace then sees only this almost constant part.
The bound cannot be improved in general. For , that is with the max norm, the largest with a subspace at distance at most from Euclidean is of order . For , in contrast, there are almost Euclidean subspaces of dimension proportional to .
Going deeper
For a student
In the language of the local theory of Banach spaces, the theorem says that is finitely representable in every infinite-dimensional Banach space. It is a starting point of asymptotic geometric analysis, together with the notions of type and cotype. The distance used here is the Banach–Mazur distance of the Banach–Mazur compactum.
Reading path
To understand this page from the ground up, read these 7 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Linear subspace concept
- Norm induced by an inner product concept
- Normed vector space concept
- Operator norm concept
- Type and cotype concept
- Banach–Mazur compactum object
- Dvoretzky's theorem statement
Further reading
About this page
| Tag | NRPQP49N9F |
|---|---|
| URI | m2://NRPQP49N9F |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 46B07, 52A21, 46B09 |
| Status | This copy of the site has no build data. Run m2 status NRPQP49N9F. |
| About | Normed vector space |
| Uses | Normed vector space, Linear subspace, Norm induced by an inner product, Type and cotype, Banach–Mazur compactum |
| Same as | |
| Changed | 2 November 2026 |
Markdown · JSON · Edit on GitHub
What this page needs for W1
- an inventory row: the row of the inventory that the node accounts for (0 of 1)
- 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.