Linear and multilinear algebra; matrix theory Canonical forms and decompositions Theorem
QR decomposition
Builds on Unitary matrixUpper triangular matrixGram–Schmidt process
Statement
Let be an complex matrix. Then there are a unitary matrix and an upper triangular matrix with If is real, then and can be chosen real, with orthogonal. If is invertible and the diagonal entries of are required to be positive, then and are unique.
Remarks
For an invertible , the Gram–Schmidt process applied to the columns of gives the columns of . A rectangular matrix with has a decomposition with unitary and upper triangular . Householder reflections and Givens rotations compute it stably. It is used to solve least squares problems and in the QR algorithm for eigenvalues.
Reading path
To understand this page from the ground up, read these 17 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
- Inner product definition
- Linear combination definition
- Linear subspace definition
- Upper triangular matrix definition
- Conjugate transpose definition
- Orthogonal vectors definition
- Linear independence definition
- Linear span definition
- Unitary matrix definition
- Orthonormal family definition
- Gram–Schmidt process concept
- QR decomposition statement
Where this leads
2 pages build on this one.
Further reading
- Web https://en.wikipedia.org/wiki/QR_decomposition, Square matrix
About this page
| Tag | 0ERWG4NXQ9 |
|---|---|
| URI | m2://0ERWG4NXQ9 |
| Kind | statement, theorem |
| Writing | W1 stated |
| MSC | 15A23, 65F25 |
| Status | This copy of the site has no build data. Run m2 status 0ERWG4NXQ9. |
| Uses | Unitary matrix, Upper triangular matrix, Gram–Schmidt process |
| Same as |
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