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In linear algebra, a generalized eigenvector of an n × n {\displaystyle n\times n} matrix A {\displaystyle A} is a vector which satisfies certain criteria which are more relaxed than those for an (ordinary) eigenvector.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Generalized eigenvector | related to Canonical basis | Definition | 0.60 | section |
| Generalized eigenvector | related to Canonical basis | Jordan | 0.60 | section |
| Generalized eigenvector | related to Canonical basis | Thus | 0.60 | section |
| Generalized eigenvector | related to Computation of generalized eigenvectors | In | 0.60 | section |
| Generalized eigenvector | related to Computation of generalized eigenvectors | These | 0.60 | section |
| Generalized eigenvector | related to Example 5 | In Example | 0.60 | section |
| Generalized eigenvector | related to Example 5 | Jordan | 0.60 | section |
| Generalized eigenvector | related to Examples | Here | 0.60 | section |
| Generalized eigenvector | related to Examples | Some | 0.60 | section |
| Generalized eigenvector | related to Generalized modal matrix | Let | 0.60 | section |
| Generalized eigenvector | related to Generalized modal matrix | All Jordan | 0.60 | section |
| Generalized eigenvector | related to Generalized modal matrix | All | 0.60 | section |
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