Linear and multilinear algebra; matrix theory Eigenvalues and eigenvectors Theorem
Existence of an eigenvalue over an algebraically closed field
Builds on EigenvalueCharacteristic polynomial of a linear map
Statement
Let be an algebraically closed field, let be a finite-dimensional vector space over with , and let be a linear map. Then has at least one eigenvalue in .
Remarks
The characteristic polynomial of has degree , so it has a root in . The statement applies to , by the fundamental theorem of algebra. It fails over : the rotation of by degrees has no real eigenvalue. It also fails in infinite dimensions: the map on has no eigenvalue.
Reading path
To understand this page from the ground up, read these 21 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
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Linear independence definition
- Endomorphism definition
- Linear span definition
- Multilinear map definition
- Eigenvalue definition
- Spanning set definition
- Alternating multilinear map definition
- Basis definition
- Determinant definition
- Coordinate vector definition
- Characteristic polynomial definition
- Matrix of a linear map definition
- Characteristic polynomial of a linear map definition
- Existence of an eigenvalue over an algebraically closed field statement
Further reading
- Web https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors, Eigenvalues and characteristic polynomial
About this page
| Tag | 08CJB2NQ92 |
|---|---|
| URI | m2://08CJB2NQ92 |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 15A18 |
| Status | This copy of the site has no build data. Run m2 status 08CJB2NQ92. |
| Uses | Eigenvalue, Characteristic polynomial of a linear map |
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