Linear and multilinear algebra; matrix theory Theorem
Principal axis theorem
Builds on Quadratic formSpectral theorem for Hermitian matrices
Statement
Let be a real symmetric matrix, and let for . Then there are an orthogonal matrix and real numbers such that, for , The numbers are the eigenvalues of , and the columns of are orthonormal eigenvectors of .
Remarks
It follows from the spectral theorem with diagonal. The lines spanned by the columns of are the principal axes of . For example, has the eigenvalues and , so it becomes . So the curve is an ellipse, with semi-axes and .
Reading path
To understand this page from the ground up, read these 30 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
- Bilinear form definition
- Inner product definition
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Conjugate transpose definition
- Quadratic form definition
- Inner product space definition
- Orthogonal vectors definition
- Linear independence definition
- Endomorphism definition
- Linear span definition
- Hermitian matrix definition
- Unitary matrix definition
- Orthonormal family definition
- Adjoint of a linear map definition
- Eigenvalue definition
- Spanning set definition
- Eigenvector definition
- Self-adjoint operator definition
- Basis definition
- Orthonormal basis definition
- Spectral theorem statement
- Spectral theorem for Hermitian matrices statement
- Principal axis theorem statement
Further reading
- Web https://en.wikipedia.org/wiki/Principal_axis_theorem, Formal statement
About this page
| Tag | 0PR5P9Z4KM |
|---|---|
| URI | m2://0PR5P9Z4KM |
| Kind | statement, theorem |
| Writing | W1 stated |
| MSC | 15A63, 15A18 |
| Status | This copy of the site has no build data. Run m2 status 0PR5P9Z4KM. |
| Uses | Quadratic form, Spectral theorem for Hermitian matrices |
| Same as |
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