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In linear algebra, an invertible matrix (non-singular, non-degenerate or regular) is a square matrix that has an inverse. In other words, if a matrix is invertible, it can be multiplied by its inverse matrix to yield the identity matrix. Invertible matrices are the same size as their inverse.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the real numbers | instance of | over a field | 0.80 | text |
| Invertible matrix | related to Derivative of the matrix inverse | Suppose | 0.60 | section |
| Invertible matrix | related to Derivative of the matrix inverse | Then | 0.60 | section |
| Invertible matrix | related to Derivative of the matrix inverse | To | 0.60 | section |
| Invertible matrix | related to Diagonalization | Matrix | 0.60 | section |
| Invertible matrix | related to Diagonalization | An | 0.60 | section |
| Invertible matrix | related to Diagonalization | This | 0.60 | section |
| Invertible matrix | related to Invertible matrix theorem | Let | 0.60 | section |
| Invertible matrix | related to Invertible matrix theorem | The | 0.60 | section |
| Invertible matrix | related to Invertible matrix theorem | AB | 0.60 | section |
| Invertible matrix | related to Invertible matrix theorem | In | 0.60 | section |
| Invertible matrix | related to Invertible matrix theorem | BA | 0.60 | section |
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