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In linear algebra, the characteristic polynomial of a square matrix is a polynomial which is invariant under matrix similarity and has the eigenvalues as roots. It has the determinant and the trace of the matrix among its coefficients. The characteristic polynomial of an endomorphism of a finite-dimensional vector space is the characteristic polynomial…
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characteristic displaystyle polynomial matrix lambda det times linear algebra eigenvalues equation square matrices ab field determinant trace -1 tr textstyle
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the complex numbers.ProofThis proof only applies to matrices | instance of | unless the matrix is over an algebraically closed field | 0.80 | text |
| polynomials over complex numbers | instance of | unless the matrix is over an algebraically closed field | 0.80 | text |
| Characteristic polynomial | related to Characteristic polynomial of a product of two matrices | If | 0.60 | section |
| Characteristic polynomial | related to Characteristic polynomial of a product of two matrices | AB | 0.60 | section |
| Characteristic polynomial | related to Characteristic polynomial of a product of two matrices | BA | 0.60 | section |
| Characteristic polynomial | related to Characteristic polynomial of a product of two matrices | Av | 0.60 | section |
| Characteristic polynomial | related to Characteristic polynomial of a product of two matrices | Therefore | 0.60 | section |
| Characteristic polynomial | related to Examples | To | 0.60 | section |
| Characteristic polynomial | related to Examples | Another | 0.60 | section |
| Characteristic polynomial | related to Examples | For | 0.60 | section |
| Characteristic polynomial | related to Examples | Its | 0.60 | section |
| Characteristic polynomial | related to For general associative algebras | The | 0.60 | section |
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