Linear and multilinear algebra; matrix theory Canonical forms and decompositions Theorem
Singular value decomposition
Builds on Singular valueUnitary matrix
Statement
Let be an complex matrix. Then there are a unitary matrix of size , a unitary matrix of size , and an matrix with Here for , and are the singular values of .
Remarks
If is real, then and can be chosen real orthogonal. The columns of are eigenvectors of , and the columns of are eigenvectors of . The matrix is unique; and are not unique in general. Keeping the largest singular values gives the best approximation of of rank , for the Frobenius and operator norms.
Reading path
To understand this page from the ground up, read these 15 pages in order. The foundations come first.
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- no evidence level
- Identity matrix object
- Matrix definition
- Vector space definition
- Square matrix definition
- Transpose definition
- Linear map definition
- Conjugate transpose definition
- Endomorphism definition
- Hermitian matrix definition
- Unitary matrix definition
- Eigenvalue definition
- Positive semidefinite matrix definition
- Gram matrices are positive semidefinite statement
- Singular value definition
- Singular value decomposition statement
Where this leads
3 pages build on this one.
Further reading
About this page
| Tag | 000NPTMX6J |
|---|---|
| URI | m2://000NPTMX6J |
| Kind | statement, theorem |
| Writing | W1 stated |
| MSC | 15A18, 15A23 |
| Status | This copy of the site has no build data. Run m2 status 000NPTMX6J. |
| Uses | Singular value, Unitary matrix |
| Same as |
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