Finite-rank operator
Builds on Normed vector spaceContinuous linear mapImage of a linear mapRank of a linear map
Definition
Let and be normed spaces over or , and let be a bounded linear map. The map is a finite-rank operator if its image is a finite-dimensional subspace of . Its rank is the dimension of .
Remarks
Equivalently, there are , bounded linear functionals on and vectors with Example: for a nonzero bounded linear functional on and a nonzero , the map has image , so it has rank . Non-example: the identity map of is bounded, but its image is infinite-dimensional, so it is not of finite rank. For linear maps between finite-dimensional spaces, the rank is the usual rank of a linear map. A bounded finite-rank operator is compact, because bounded subsets of a finite-dimensional normed space are relatively compact. On Hilbert spaces, every compact operator is a norm limit of finite-rank operators. On general Banach spaces this can fail; this is the question of the approximation property.
Reading path
To understand this page from the ground up, read these 5 pages in order. The foundations come first.
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- no evidence level
- Continuous linear map concept
- Image of a linear map concept
- Normed vector space concept
- Rank of a linear map concept
- Finite-rank operator definition
Further reading
About this page
| Tag | FMBFW2QXZ3 |
|---|---|
| URI | m2://FMBFW2QXZ3 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 47B07, 47A05 |
| Defines | Finite-rank operator |
| Uses | Normed vector space, Continuous linear map, Image of a linear map, Rank of a linear map |
| Changed | 2 November 2026 |
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