Linear and multilinear algebra; matrix theory Eigenvalues and eigenvectors Theorem
Eigenvectors with distinct eigenvalues are linearly independent
Builds on EigenvectorLinear independence
Statement
Let be a field, let be a vector space over , and let be a linear map. Let be eigenvectors of for eigenvalues that are pairwise distinct. Then are linearly independent.
Remarks
The proof is by induction on : apply to a linear relation, and the term of disappears. So the sum of the eigenspaces of for distinct eigenvalues is a direct sum. In particular, an endomorphism of an -dimensional space has at most distinct eigenvalues.
Reading path
To understand this page from the ground up, read these 8 pages in order. The foundations come first.
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- no evidence level
- Vector space definition
- Linear combination definition
- Linear map definition
- Linear independence definition
- Endomorphism definition
- Eigenvalue definition
- Eigenvector definition
- Eigenvectors with distinct eigenvalues are linearly independent statement
Where this leads
1 page builds on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors, Eigenspaces, geometric multiplicity, and the eigenbasis
About this page
| Tag | 0HNMFG8F8K |
|---|---|
| URI | m2://0HNMFG8F8K |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 15A18 |
| Status | This copy of the site has no build data. Run m2 status 0HNMFG8F8K. |
| Uses | Eigenvector, Linear independence |
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