Final answer:
There are multiple methods to compute determinants using a cofactor expansion across the first row, such as Gaussian elimination, matrix inversion, row reduction, and Cramer's rule.
Step-by-step explanation:
When computing determinants using a cofactor expansion across the first row, you can use several methods:
- Gaussian elimination: This involves transforming the matrix into row-echelon form by performing row operations, and then obtaining the determinant from the product of the diagonal elements.
- Matrix inversion: You can find the determinant by taking the inverse of the matrix and computing its determinant, which is equal to the reciprocal of the determinant of the original matrix.
- Row reduction: Similar to Gaussian elimination, row reduction involves applying row operations to reduce the matrix to echelon form and finding the determinant from the product of the diagonal elements.
- Cramer's rule: This method uses the determinant of the coefficient matrix to solve systems of linear equations. The determinant can be computed using cofactor expansion across the first row.