Tool to compute a Cofactor matrix: a matrix composed of the determinants of its sub-matrices (minors).

Cofactor Matrix - dCode

Tag(s) : Matrix

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Tool to compute a Cofactor matrix: a matrix composed of the determinants of its sub-matrices (minors).

The cofactor matrix of a square matrix \( M \) is noted \( Cof(M) \). For each item in the matrix, compute the determinant of the associated sub-matrix \( SM \). The determinant is noted \( \text{Det}(SM) \) or \( | SM | \) and is also called *minor*. To calculate \( Cof(M) \) multiply each minor by a \( -1 \) factor according to the position in the matrix.

$$ Cof_{i,j} = (-1)^{i+j} \text{Det}(SM_i) $$

Calculation of a 2x2 cofactor matrix :

$$ M = \begin{bmatrix} a & b \\ c & d \end{bmatrix} $$

$$ M = \begin{bmatrix} a & b \\ c & d \end{bmatrix} $$

$$ Cof(M) = \begin{bmatrix} d & -c \\ -b & a \end{bmatrix} $$

Example: $$ M = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix} \Rightarrow Cof(M) = \begin{bmatrix} 4 & -3 \\ -2 & 1 \end{bmatrix} $$

Calculation of a 3x3 cofactor matrix :

$$ M = \begin{bmatrix} a & b & c \\d & e & f \\ g & h & i \end{bmatrix} $$

$$ Cof(M) = \begin{bmatrix} + \begin{vmatrix} e & f \\ h & i \end{vmatrix} & -\begin{vmatrix} d & f \\ g & i \end{vmatrix} & +\begin{vmatrix} d & e \\ g & h \end{vmatrix} \\ & & \\ -\begin{vmatrix} b & c \\ h & i \end{vmatrix} & +\begin{vmatrix} a & c \\ g & i \end{vmatrix} & -\begin{vmatrix} a & b \\ g & h \end{vmatrix} \\ & & \\ +\begin{vmatrix} b & c \\ e & f \end{vmatrix} & -\begin{vmatrix} a & c \\ d & f \end{vmatrix} & +\begin{vmatrix} a & b \\ d & e \end{vmatrix} \end{bmatrix} $$

The transpose of the cofactor matrix is the adjoint matrix.

Most of the properties of the cofactor matrix actually concern its transpose, the transpose of the matrix of the cofactors is called adjugate matrix.

$$ A({}^t{{\rm com} A}) = ({}^t{{\rm com} A})A =\det{A} \times I_n $$

$$ A^{-1}=\frac1{\det A} \, {}^t{{\rm com} A} $$

A cofactor is calculated from the minor of the submatrix.

$$ Cof_{i, j} = (-1)^{i + j} \text{Det}(SM_i) $$

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