Skip to main content

Minors and Cofactors in Matrix with Solved Examples Problems-Class 12 Math Determinants Notes Study Material free pdf download

What Are Minors?

The minor of an element in a matrix is defined as the determinant obtained by deleting the row and column in which that element lies. For example, in the determinant

D=|a11a12a13a21a22a23a31a32a33|,

minor of a12 is denoted as M12.

Here,

M12=|a21a23a31a33|

What Are Cofactors?

Cofactor of an element aij is related to its minor as

Cij=(1)i+jMij,

where ‘i’ denotes the ith row and ‘j’ denotes the jth column to which the element aij belongs.

Now, we define the value of the determinant of order three in terms of ‘Minor’ and ‘Cofactor’ as

D=a11M11a12M12+a13M13orD=a11C11a12C12+a13C13

Note: (a) A determinant of order 3 will have 9 minors, and each minor will be a determinant of order 2, and a determinant of order 4 will have 16 minors, and each minor will be a determinant of order 3.

(b)

a11C21+a12C22+a13C23=0,

, i.e. cofactor multiplied to different row/column elements results in zero value.

Row and Column Operations of Determinants

(a)

RiRjorCiCj,whenij;

 This notation is used when we interchange ith row (or column) and jth row (or column).

(b)

RiCi;

This converts the row into the corresponding column.

(c)

RiRkiorCikCi;kR;

This represents the multiplication of ith row (or column) by k.

(d)

RiRik+RjorCiCik+Cj;(ij);

This symbol is used to multiply ith row (or column) by k and adding the jth row (or column) to it.

Practice Problems on How to Find Minors and Cofactors

Question 1: Find the cofactor of a12 in the following.

|235604157|

Solution:

In this problem, we have to find the cofactor of a12, therefore, eliminate all the elements of the first row and the second column and by obtaining the determinant of the remaining elements, we can calculate the cofactor of a12

Here, a12= Element of the first row and second column = –3

M12 = Minor of a12

=|6417|

= 6 (-7) – 4(1)

= -42 – 4 = -46

Cofactor of (-3) = (-1)1+2 (-46) = -(-46) = 46

Question 2: Write the minors and cofactors of the elements of the following determinants:

(i)|2403|(ii)|acbd|

Solution:

By eliminating the row and column of an element, the remaining is the minor of the element.

(i)

|2403|M11=Minorofelement(2)=3

Cofactor of 2=11+1M11=+3

M12=Minorofelement(4)=|2403|=0;Cofactorof(4)=(1)1+2M12=(1)0=0

M21=Minorofelement(0)=|2403|=4;Cofactorof(0)=(1)2+1M21=(1)(4)=4

M22=Minorofelement(3)=|2403|=2;Cofactorof(3)=(1)2+2M22=+2

(ii)

|acbd|;M11=Minorofelement(a)=d;Cofactorof(a)=(1)1+1M11=(1)2d=d

M12=Minorofelement(c)=|acbd|=b;Cofactorof(c)=(1)1+2M12=(1)3b=b

M21=Minorofelement(b)=|acbd|=c;Cofactorof(b)=(1)2+1M21=(1)3c=c

M22=Minorofelement(d)=|acbd|=a;Cofactorof(d)=(1)2+2M22=(1)4a=a

Question 3: Find the minor and cofactor of each element of the determinant

|223145213|

Solution:

By eliminating the row and column of an element, the determinant of remaining elements is the minor of the element, i.e.

Mi×j

and by using the formula

(1)i+jMi×j

, we will get the cofactor of the element.

The minors are

M11=|4513|=17,M12=|1523|=13,M13=|1421|=7

M21=|2313|=3,M22=|2323|=12,M23=|2221|=6,

M31=|2345|=22,M32=|2315|=7,M33=|2214|=10

The cofactors are:

A11=(1)1+1M11=M11=17,A12=(1)1+2M12=M12=13,A13=(1)1+3M13=M13=7

A21=(1)2+1M21=M21=3,A22=(1)2+2M22=M22=12,A23=(1)2+3M23=M23=6

A31=(1)3+1M31=M31=22,A32=(1)3+2M32=M32=7,A33=(1)3+3M33=M33=10

Frequently Asked Questions

Q1

Are the cofactor and minor the same?

No, the minor of an element in a matrix is defined as the determinant obtained by deleting the row and column in which that element lies. The cofactor of an element aij, is defined by Cij = (-1)i+j Mij, where Mij is minor of aij.

Q2

How many minors does a 3×3 matrix have?

A 3×3 matrix has 9 minors.

Q3

How do you find the minor of an element in a matrix?

The minor of an element is calculated by finding the determinant obtained by deleting the row and column in which that element lies.

Q4

Give the formula to find the cofactor of an element in a matrix.

The cofactor of an element aij, is given by Cij = (-1)i+j Mij, where Mij is minor of aij.

Q5

Give any application of minors and cofactors of a matrix.

We use minors and cofactors to find the adjoint and inverse of matrices.

Q6

How to find the cofactor matrix?

First, we have to calculate the minors of all the elements of the matrix. This is done by deleting the row and column to which the elements belong and then finding the determinant by considering the remaining elements. Then, find the cofactor of the elements. It is done by multiplying the minor of the element with -1i+j. If Mij is the minor, then cofactor, Cij = -1i+j Mij. Then, form the cofactor matrix with the obtained values.

Q7

Give the easy method to find the adjoint matrix of a 2×2 matrix.

First, we interchange the elements on the main diagonal. (a11 and a22). Then, put a negative sign for the elements at a12 and a21 positions. The resulting matrix is the adjoint of the given 2×2 matrix.

Q8

What is the number of minors in a 2×2 matrix?

A 2×2 matrix has 4 minors.

Comments

Popular posts from this blog

Symmetric & Skew Symmetric Matrix-Properties, Solved Examples, Class 12 Matrices Chapter Notes Study Material Download pdf

A symmetric matrix and skew-symmetric matrix both are square matrices. But the difference between them is, the symmetric matrix is equal to its transpose whereas skew-symmetric matrix is a matrix whose transpose is equal to its negative. If A is a symmetric matrix, then A = A T   and if A is a skew-symmetric matrix then A T  = – A. Table of Contents Symmetric Matrix Properties of Symmetric Matrix Skew Symmetric Matrix Properties of Skew Symmetric Matrix Determinant of Skew Symmetric Matrix Eigenvalue of Skew Symmetric Matrix Frequently Asked Questions-FAQs What is a symmetric matrix? How do you know if a matrix is symmetric? Give an Example of a Matrix Which is Symmetric but not Invertible. Is Symmetric Matrix Diagonalizable? What is skew-symmetric matrix? What is the difference between symmetric and skew-symmetric matrix? Symmetric Matrix To understand if a matrix is a symmetric matrix, it is very important to know about transpose of a matrix and how to find it. If we in...

Onto Functions(Surjective Functions)-Definition, Graph, Properties, Solved Examples, FAQs

  Onto Function is one of the many types of functions defined based on the relationship between its domain and codomain. For any function to be onto, it needs to relate two sets with a very specific mapping between elements, meaning that each element of the codomain has at least one element in the domain as its pre-image. In simple words, for any function, if all the elements of the codomain are mapped to some element of the domain, then the function is said to be an onto function.  In this article, we will discuss the concept of onto or surjective function in detail including its definition, example, and many more. We will also discuss key differences between one one, onto and into functions as well. Table of Contents What is an Onto Function? Onto Function Definition Representation for Onto Function Examples of Onto Function Properties of Onto Function Composition of Onto Function Onto Function Graph Number of Onto Functions One to One and Onto Functions Onto and Into Functi...

Matrices Types, Properties:Row, Column, Zero or Null, Singleton, Horizontal, Vertical, Square, Diagonal, Scalar, Unit or Identity Matrix, Equal Matrices, Triangular, Singular & Non-Singular Matrix, Symmetric & Skew Symmetric Matrices, Hermitian & Skew-Hermitian Matrices, Idempotent, Nilpotent, Periodic, Involutory Matrix

There are different   types of matrices,   and they are basically categorised on the basis of the value of their elements, their order, the number of rows and columns, etc. Now, using different conditions, the various matrix types are categorised below, along with their definition and examples. Table of Contents Matrix Types: Overview Types of Matrices: Explanations Row Matrix Column Matrix Zero or Null Matrix Singleton Matrix Horizontal Matrix Vertical Matrix Square Matrix Diagonal Matrix Scalar Matrix Unit Matrix or Identity Matrix Equal Matrices Triangular Matrix Singular Matrix and Non-Singular Matrix Symmetric and Skew Symmetric Matrices Hermitian and Skew-Hermitian Matrices Special Matrices (a) Idempotent Matrix: (b) Nilpotent Matrix: (c) Periodic Matrix: (d) Involutory Matrix: Frequently Asked Questions What do you mean by a symmetric matrix? What do you mean by identity matrix? What do you mean by Hermitian matrix? Matrix Types: Overview The different types of matrices...