Minors and Cofactors

Definition

Minor

The minor of an element in a matrix is the determinant of the smaller matrix that remains after removing the row and column containing that element. For any element ( a_{ij} ) in a matrix, the minor is denoted as ( M_{ij} ).

Cofactor

The cofactor of an element in a matrix is the minor of the element, multiplied by a sign factor. The sign is determined based on the position of the element, where the sign factor is given by ( (-1)^{i+j} ). The cofactor is denoted as ( C_{ij} ).

Mathematically:

• Minor: ( M_{ij} ) is the determinant of the matrix obtained by deleting the (i)-th row and (j)-th column.
• Cofactor: ( C_{ij} = (-1)^{i+j} \cdot M_{ij} )

The cofactors are used in calculating the determinant of larger matrices and in finding the inverse of a matrix.

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Steps to Find Minors and Cofactors

1. Select an element from the matrix.
2. Remove the row and column that contain the selected element to form a submatrix.
3. Calculate the determinant of the submatrix. This is the minor of the element.
4. Multiply the minor by the sign ( (-1)^{i+j} ), where ( i ) is the row number and ( j ) is the column number of the element. This gives the cofactor.

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Example 1: Minors and Cofactors in a 3x3 Matrix

Let ( A ) be a 3x3 matrix: [ A = \begin{bmatrix} 1 & 2 & 3 \ 0 & 4 & 5 \ 1 & 0 & 6 \end{bmatrix} ]

Step 1: Find the minor and cofactor of element ( a_{11} ) (element in the first row, first column).

• Element: ( a_{11} = 1 )
• Remove the first row and first column. The resulting submatrix is: [ \begin{bmatrix} 4 & 5 \ 0 & 6 \end{bmatrix} ]
• The minor ( M_{11} ) is the determinant of this submatrix: [ M_{11} = (4 \cdot 6) - (5 \cdot 0) = 24 ]
• The cofactor ( C_{11} ) is: [ C_{11} = (-1)^{1+1} \cdot M_{11} = 1 \cdot 24 = 24 ]

Step 2: Find the minor and cofactor of element ( a_{12} ) (element in the first row, second column).

• Element: ( a_{12} = 2 )
• Remove the first row and second column. The resulting submatrix is: [ \begin{bmatrix} 0 & 5 \ 1 & 6 \end{bmatrix} ]
• The minor ( M_{12} ) is the determinant of this submatrix: [ M_{12} = (0 \cdot 6) - (5 \cdot 1) = -5 ]
• The cofactor ( C_{12} ) is: [ C_{12} = (-1)^{1+2} \cdot M_{12} = (-1) \cdot (-5) = 5 ]

Step 3: Find the minor and cofactor of element ( a_{13} ) (element in the first row, third column).

• Element: ( a_{13} = 3 )
• Remove the first row and third column. The resulting submatrix is: [ \begin{bmatrix} 0 & 4 \ 1 & 0 \end{bmatrix} ]
• The minor ( M_{13} ) is the determinant of this submatrix: [ M_{13} = (0 \cdot 0) - (4 \cdot 1) = -4 ]
• The cofactor ( C_{13} ) is: [ C_{13} = (-1)^{1+3} \cdot M_{13} = 1 \cdot (-4) = -4 ]

Thus, the minors and cofactors of the first row of matrix ( A ) are:

• ( M_{11} = 24 ), ( C_{11} = 24 )
• ( M_{12} = -5 ), ( C_{12} = 5 )
• ( M_{13} = -4 ), ( C_{13} = -4 )

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Example 2: Minors and Cofactors in a 2x2 Matrix

Let ( B ) be a 2x2 matrix: [ B = \begin{bmatrix} 3 & 8 \ 4 & 6 \end{bmatrix} ]

Step 1: Find the minor and cofactor of element ( b_{11} ) (element in the first row, first column).

• Element: ( b_{11} = 3 )
• Remove the first row and first column. The resulting submatrix is: [ \begin{bmatrix} 6 \end{bmatrix} ]
• The minor ( M_{11} ) is: [ M_{11} = 6 ]
• The cofactor ( C_{11} ) is: [ C_{11} = (-1)^{1+1} \cdot M_{11} = 1 \cdot 6 = 6 ]

Step 2: Find the minor and cofactor of element ( b_{12} ) (element in the first row, second column).

• Element: ( b_{12} = 8 )
• Remove the first row and second column. The resulting submatrix is: [ \begin{bmatrix} 4 \end{bmatrix} ]
• The minor ( M_{12} ) is: [ M_{12} = 4 ]
• The cofactor ( C_{12} ) is: [ C_{12} = (-1)^{1+2} \cdot M_{12} = (-1) \cdot 4 = -4 ]

Thus, the minors and cofactors of matrix ( B ) are:

• ( M_{11} = 6 ), ( C_{11} = 6 )
• ( M_{12} = 4 ), ( C_{12} = -4 )

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Conclusion

• The minor of an element is the determinant of the submatrix formed by deleting the row and column of that element.
• The cofactor is the minor of an element multiplied by a sign factor ( (-1)^{i+j} ), depending on its position in the matrix.
• Minors and cofactors are essential in calculating the determinant of larger matrices and finding the inverse of a matrix.