Difference between revisions of "Adjugate Formula"
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\end{array}\right]=\text{adj}(\mathbf{A}_3)</math> | \end{array}\right]=\text{adj}(\mathbf{A}_3)</math> | ||
− | The determinant is computed in the example for a [[Determinant_of_a_matrix|determinant of a matrix]] and equals 1. So the inverse of <math>\mathbf{A}_3</math> is determined as | + | The determinant is computed in the example for a [[Determinant_of_a_matrix|determinant of a matrix]] and equals 1. So the inverse of <math>\mathbf{A}_3</math> is determined as <br/> |
− | <math> | + | :<math> |
\mathbf{A}_3^{-1}=\frac{1}{\det(\mathbf{A}_3)}\text{adj}(\mathbf{A}_3) | \mathbf{A}_3^{-1}=\frac{1}{\det(\mathbf{A}_3)}\text{adj}(\mathbf{A}_3) | ||
=\frac{1}{1} | =\frac{1}{1} |
Revision as of 17:08, 22 May 2014
← Back: Gauß-Jordan-Algorithm | Overview: Matrix inversion | Next: Vector algebra → |
The adjugate formula defines the inverse of an n-by-n square matrix as
where is the so called adjugate matrix of . The adjugate matrix is the transposed of the cofactor matrix:
And the cofactor matrix is just a matrix where each cell corresponds to the related cofactor:
So to determine the inverse of an n-by-n square matrix you have to compute the n square cofactors, then transpose the resulting cofactor matrix and divide all the values by the determinant.
Example: inverse of a 3-by-3 matrix using the adjugate formula
The following matrix is already used in examples for the minors and cofactors and for the determinant.
The calculation of two of the cofactors of has already been described in the example for minors and cofactors. The resulting cofactor matrix of matrix is The transposed of the cofactor matrix which corresponds to the adjugate matrix then appears as
The determinant is computed in the example for a determinant of a matrix and equals 1. So the inverse of is determined as |
Example: inverse of a 4-by-4 matrix using the adjugate formula
In this example again the transformation matrix that is introduced in the robotics script in chapter 3 on page 3-37 is used:
The determinant is computed in the example for a determinant of a matrix and equals 1. So the inverse of is determined as |