Cofactor: Minors & Formula

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Jasmine Grover

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Cofactor of an element of a matrix is the determinant of the matrix that is obtained by eliminating the row and column in the matrix that contains the element and then multiplying by +1 or -1 as per the position of the element. 

  • The main purpose of the cofactor matrix is to determine the inverse of a matrix
  • It further helps to know the cofactor of a certain row or column which also helps in determining the determinant of the matrix.

\(\begin{bmatrix}5 & 7 & 0 \\[0.3em]2 & 9 & 1 \\[0.3em]4 & 6 & 3 \\[0.3em] \end{bmatrix}\)

  • If there is a given matrix, the cofactor of an element in position 5 is obtained by eliminating the 1 row and 1 column 

9 x 3 – 6 x 1 = 21

  • Therefore, the minor corresponding to the element 5 in the first row is 21.
  • For calculating cofactor, the formula is Cij = ((-1)i+j)Mij

I = 1, j = 1 and M = 21

Cij = (-1)2 21 = 21

Key Terms: Cofactor matrix, Determinant, Matrices, Minor, Row, Column, Sum, Even, Odd, Scalar


What is a Cofactor Matrix?

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To understand the Cofactor matrix, one needs to understand minors. Minor is the value which is calculated from the square matrix of the determinant.

The cofactor can also be known as signed minor which is denoted by Ayz, and is defined by 

A= (-1)y+z M, where M stands for Minor of ayz.

Rules to be followed:

  • If the sum of y+z is even, then Ayz = Myz.
  • If the sum of y+z is odd, then Ayz = – Myz.
  • In terms of sign there is a difference between the related minors and cofactors.

How to find a cofactor?

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Thе minor of an еlеmеnt in a matrix is thе dеtеrminant of thе submatrix obtainеd by rеmoving thе row and column containing that еlеmеnt. Once done, apply thе sign rulе to determine thе cofactor.

  • Thе sign rule states that thе sign of thе cofactor depends on thе position of thе еlеmеnt in thе matrix. 
  •  If thе row numbеr and column numbеr of thе еlеmеnt sum up to an even numbеr, thе cofactor has a positivе sign.
  • If thе sum is odd, thе cofactor has a nеgativе sign. 
  • Cofactor of an element within a matrix is obtained when the minor Mij of the element is multiplied with (-1)i+j
  • The cofactor of the element is denoted by Cij and the if the minor of the element is Mij, then the cofactor of element would be: Cij = ((-1)i+j)Mij

Determinants

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The matrix is a scalar (number) that is obtained from the matrix element by specified operations, which is characteristic of the matrix. This can be used only for square matrices.

The determinant of the (2 x 2) matrix:

A = \(\begin{bmatrix}a_{11} & a_{12} \\[0.3em]a_{21} & a_{22} \\[0.3em] \end{bmatrix}\)

is given by det A 

|A| = \(\begin{bmatrix}a_{11} & a_{12} \\[0.3em]a_{21} & a_{22} \\[0.3em] \end{bmatrix}\)

= a11 * a22 – a12 * a21

Read More: Identity Matrix


Different Types of Matrices

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There are different types of matrices mentioned below:

  1. Row matrix – These are the matrices that possess one row. A = [aij]1×n
  2. Column matrix – These are the matrix which possesses m rows and one column. A = [aij]m×1
  3. Null/Zero matrix – The matrix where all components are zero is termed as zero matrix. A = [aij]mxn where, aij = 0
  4. Singleton Matrix – Any matrix where it has only one element are termed as Singleton matrix A = [aij]mxn where, m = n =1
  5. Horizontal matrix – A matrix is termed as horizontal matrix when the number of columns is greater than the number of rows [aij]mxn where n > m
  6. Vertical matrix - A matrix is termed as vertical matrix, if the number of rows is greater than the number of columns [aij]mxn where, m > n
  7. Square matrix – The number of rows is equivalent to the number of columns [aij]mxn where, m = n
  8. Diagonal Matrix – In case of square matrix in which all the components are zero excluding those in the principal diagonal where A = [aij] when i ≠ j
  9. Rectangular Diagonal Matrix – It is a type of a matrix that has one leading diagonal with numbers and the rest of the records are zeros.
  10. Scalar Matrix – In case of a diagonal matrix where all the principal diagonal components are equal is known as scalar matrix where A = [aij]mxn where,aij = { \( \begin{matrix} 0, & i \neq j \\ k, & i = j \\ \end{matrix}\) }
  11. Identity Matrix or Unit Matrix - In case of a diagonal matrix where A = [aij]mxn where,{\( \begin{matrix} 0, & i \neq j \\ k, & i = j \\ \end{matrix}\)}

Read More: Transpose of a Matrix


Minors and Cofactors

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A cofactor is a number that will remove the column and row of a value in a matrix. It is essential to understand minors and cofactor matrices. It is essential to understand minors and cofactor matrices so that you can solve complex problems relating to determinants.


Cofactor Formula

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The formula used any matrix of order n x n and Mij be the (n – 1) x (n – 1) matrix obtained by deleting the ith row and jth column. The co-factor of Cij of aij can be found using the formula:

Cij = ((-1)i+j) det (Mij)

The cofactor is always represented with +ve (positive) or -ve (negative) signs. 


Solved Questions

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Ques: If Δ = \(\begin{bmatrix}4 & 7 & 2 \\[0.3em]9 & 5 & 8 \\[0.3em]1 & 2 & 5 \\[0.3em] \end{bmatrix}\)in a determinant, then write the minor of the element a23? (1 mark)

Ans: Minor of the element a23= 8 – 7 = 1

Ques : Find the minors and cofactors of all the elements of the determinant  \(\begin{bmatrix}6 & 3 \\[0.3em]4 & 8 \\[0.3em]\end{bmatrix}\)? (3 marks)

Ans: Minor of the element aij is Mij.

Here a11 = 6. So M11 = Minor of a11 = 8

M12 = Minor of the element a12 = 4

M21 = Minor of the element a21 = 3

M22 = Minor of the element a22 = 6

Using the formula of cofactor of element would be: Cij = ((-1)i+j)Mij

Now, the cofactor of aij is Aij. So,

A11 = (–1)1+1, M11 = (–1)2 (8) = 8

A12 = (–1)1+2, M12 = (–1)3 (4) = – 4

A21 = (–1)2+1, M21 = (–1)3 (3) = – 3

A22 = (–1)2+2, M22 = (–1)4 (6) = 6

Ques 3: If Δ = \(\begin{bmatrix}3 & 5 & 6 \\[0.3em]6 & 2 & 9 \\[0.3em]4 & 8 & 1 \\[0.3em] \end{bmatrix}\) , write:

(i) the minor of the element a23

(ii) the cofactor of the element a32 (3 marks)

Ans 3:  (i) minor of the element M23 = 24 – 20 = 4

(ii) Using the formula of cofactor of element would be: Cij = ((-1)i+j)Mij

the cofactor of the element a32 = A23 = (–1)2+3, M11 = (–1)5 (4) = - 4

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Things to Remember

  • Cofactor of an element of a matrix is the determinant of the matrix 
  • It is obtained by multiplying the corner of diagonals in a matrix 
  • Eliminate the adjacent row and columns of the element placed at the centre position of the matrix and then multiplying by +1 or -1 according to the position of the element.
  • To find the adjoint of the matrix and the inverse of the given matrix the cofactor of a matrix is used.
  • Cofactor is always represented with +ve (positive) or -ve (negative) signs.
  • There are six types of matrices such as row matrix, Column matrix, Null/Zero matrix, Horizontal matrix, vertical matrix and square matrix.
  • The cofactor formula where any matrix of order n x n and Mij be the (n – 1) x (n – 1) matrix.

Cij = ((-1)i+j) det (Mij)


Previous Year Questions

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Sample Questions

Ques : What are matrices and determinants application? (3 marks)

Ans: These are widely used to help solve complex problems which include complex equations. We use them in almost every field of science. There are some of the areas mentioned below where we can use matrices and determinants are as follows:

  • Statistics
  • Linear Programming
  • Optimization
  • Genetics
  • Robotics
  • Intersections of planes

Ques: What are the operations that are performed in a matrix? (3 marks)

Ans: There are three operations that are performed on matrix:

  • The Operation of Addition of Matrices: If A and B are of two matrices having the same number of rows and columns, then A + B.
  • The Operation of Subtraction of Matrices: If A and B are two matrices with the same order then A-B will give a third matrix with the same order.
  • The Operation of Multiplication of Matrices: There are two matrices A and B of order m x n and n x p respectively.

Ques: If the cofactor of the element a11 of the matrix A = \(\begin{bmatrix}2 & -3 & 5 \\[0.3em]6 & 0 & p \\[0.3em]1 & 5 & -7 \\[0.3em] \end{bmatrix}\)is – 20, then find the value of p? (3 marks)

Ans: The A = \(\begin{bmatrix}2 & -3 & 5 \\[0.3em]6 & 0 & p \\[0.3em]1 & 5 & -7 \\[0.3em] \end{bmatrix}\) Using the formula of cofactor of an element,

Cij = ((-1)i+j) det (Mij)

Cofactor of an is 

Cn = ((-1)1+1) det (Mn)

– 20 = | \(\begin{matrix} 0 & p \\ 5 & -7 \\ \end{matrix}\)|

– 20 = 0 – 5p

– 20 = – 5p

⇒ 5p = 20

⇒ p = 20/5

⇒ p = 4

Hence, the value of p is 4

Ques: What are the special types of matrices? (5 marks)

Ans: There are following types of special types of matrices:

  1. Singular and Non-Singular Matrix: These are the matrix whose determinant is equivalent to zero is called a singular matrix and any matrix whose determinant is not equivalent to zero.
  2. Upper Triangular Matrix: If there is any square matrix ex: A=[aij]n×n is called an upper triangular matrix, if aij=0 ∀ i > j.
  3. Lower Triangular Matrix: If there is any square matrix says A=[aij]n×n is called an upper triangular matrix, if aij=0 ∀ i > j.
  4. Transpose of a Matrix: These are achieved by swapping its rows into columns and its columns into rows.
  5. Symmetric Matrix: These are identified as the square matrix that is equivalent to its transpose matrix.
  6. Skew-Symmetric Matrix: If square matrix A=[aij] is said to be a skew-symmetric matrix if and only if aij= − aij, ∀ i and j or in other words we can say that if A is a real square matrix

Ques: Find the cofactor matrix of the matrix: A = \(\begin{bmatrix}1 & 9 & 3 \\[0.3em]2 & 5 & 4 \\[0.3em]3 & 7 & 8 \\[0.3em] \end{bmatrix}\)(5 marks)

Ans: The matrix is given: 

A = \(\begin{bmatrix}1 & 9 & 3 \\[0.3em]2 & 5 & 4 \\[0.3em]3 & 7 & 8 \\[0.3em] \end{bmatrix}\)

Let Mij be the minor of elements of the ith row and jth column.

Minor of the elements of matrix A are:

M11\(\begin{bmatrix}5 & 4 \\[0.3em]7 & 8 \\[0.3em] \end{bmatrix}\)= 40 – 28 = 12

M12\(\begin{bmatrix}2 & 4 \\[0.3em]3 & 8 \\[0.3em] \end{bmatrix}\)= 16 – 12 = 4

M13 =  \(\begin{bmatrix}2 & 5 \\[0.3em]3 & 7 \\[0.3em] \end{bmatrix}\)= 14 – 15 = – 1

M21 =  \(\begin{bmatrix}9 & 3 \\[0.3em]7 & 8 \\[0.3em] \end{bmatrix}\)= 72 – 21 = 51

M22 =  \(\begin{bmatrix}1 & 3 \\[0.3em]3 & 8 \\[0.3em] \end{bmatrix}\)= 8 – 9 = – 1

M23 =  \(\begin{bmatrix}1 & 9 \\[0.3em]3 & 7 \\[0.3em] \end{bmatrix}\)= 7 – 27 = – 20

M31 =  \(\begin{bmatrix}9 & 3 \\[0.3em]5 & 4 \\[0.3em] \end{bmatrix}\)= 36 – 15 = 21

M32 =  \(\begin{bmatrix}1 & 3 \\[0.3em]2 & 4 \\[0.3em] \end{bmatrix}\)= 4 – 6 = – 2

M33 =  \(\begin{bmatrix}1 & 9 \\[0.3em]2 & 5 \\[0.3em] \end{bmatrix}\)= 5 – 18 = – 13

Matrix of cofactors of A is 

\(\begin{bmatrix}+12 & -4 & +(-1) \\[0.3em]-51 & +(-1) & -(-20) \\[0.3em]+21 & -(-2) & +(-13) \\[0.3em] \end{bmatrix}\)

\(\begin{bmatrix}12 & -4 & -1 \\[0.3em]-51 & -1 & 20 \\[0.3em]21 & 2 & -13 \\[0.3em] \end{bmatrix}\)

Ques: What is thе formula for calculating a minor? (2 marks)

Ans: Thе formula to calculatе thе minor of an еlеmеnt in a matrix involves rеmoving thе corrеsponding row and column of that еlеmеnt and thеn calculating thе dеtеrminant of thе resulting smallеr matrix.

Ques: How do you calculatе thе cofactor of an еlеmеnt in a matrix? (2 marks)

Ans: Thе cofactor of an еlеmеnt is thе product of thе minor of that еlеmеnt and a sign dеtеrminеd by its position in thе matrix. Thе sign follows a chеckеrboard pattеrn, with positivе and nеgativе signs altеrnating. Spеcifically, thе sign is positivе if thе row numbеr plus thе column numbеr of thе еlеmеnt is even, and nеgativе if it's odd.

Ques: How arе minors and cofactors usеd to calculatе thе dеtеrminant of a matrix? (2 marks)

Ans: To calculatе thе dеtеrminant of a matrix, you can usе thе cofactor еxpansion mеthod. Choosе a row or column, and for еach еlеmеnt in that row or column, multiply thе еlеmеnt by its cofactor and sum up thеsе products. This givеs you thе dеtеrminant of thе matrix.

Ques: What's thе rеlationship bеtwееn minors, cofactors, and thе adjugatе matrix? (2 marks)

Ans: Thе adjugatе matrix is formed by rеplacing еach element in thе matrix with its corresponding cofactor. Thе adjugatе matrix is usеd to calculate thе invеrsе of a matrix. Thе determinant of thе matrix is rеquirеd to calculatе both thе adjugatе matrix and thе inverse matrix. 

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