Minors And Cofactors

Minors And Cofactors

Edited By Komal Miglani | Updated on Jul 02, 2025 06:35 PM IST

The determinant is a scalar value that is a certain function of the entries of a square matrix. The determinant of a matrix A is commonly denoted det(A), det A, or |A|. Its value characterizes some properties of the matrix. In particular, the determinant is nonzero if and only if the matrix is invertible. In real life, we use minors and cofactors to calculate the adjoint and inverse of a matrix.

This Story also Contains
  1. Determinant of matrices
  2. Minors of matrix
  3. Cofactor of matrix
  4. Solved Examples Based on Minors and Cofactors
Minors And Cofactors
Minors And Cofactors

In this article, we will cover the Singular and non-singular matrix. This category falls under the broader category of Matrices, which is a crucial Chapter in class 12 Mathematics. It is not only essential for board exams but also for competitive exams like the Joint Entrance Examination(JEE Main) and other entrance exams such as SRMJEE, BITSAT, WBJEE, BCECE, and more. A total of two questions have been asked on this topic in Jee mains (2013 to 2023).

Determinant of matrices

The determinant of a matrix A is a number that is calculated from the matrix. For a determinant to exist, matrix A must be a square matrix. The determinant of a matrix is denoted by det A or |A|. So, The determinant is a scalar value that is a certain function of the entries of a square matrix

For $2 \times 2$ matrices

$
\mathrm{A}=\left[\begin{array}{ll}
a_1 & a_2 \\
b_1 & b_2
\end{array}\right]
$

then $\operatorname{det} \mathrm{A}$ is :

$
|\mathrm{A}|=\left|\begin{array}{ll}
a_1 & a_2 \\
b_1 & b_2
\end{array}\right|=\mathrm{a}_1 \times \mathrm{b}_2-\mathrm{a}_2 \times \mathrm{b}_1
$


For a $3 \times 3$ matrix determinant can be calculated in the following way :
let $\mathrm{A}=\left[\begin{array}{lll}a_1 & a_2 & a_3 \\ b_1 & b_2 & b_3 \\ c_1 & c_2 & c_3\end{array}\right]$
then we find $\operatorname{det} \mathrm{A}$ in following way

$
|A|=a_1\left(b_2 \cdot c_3-b_3 \cdot c_2\right)-a_2\left(b_1 \cdot c_3-c_1 b_3\right)+a_3\left(b_1 c_2-b_2 c_1\right)
$

This same process we follow to evaluate the determinant of the matrix of any order. Notice that we start the first term with the +ve sign then the 2nd with the -ve sign and the 3rd again with the +ve sign, this sign sequence is followed for any order of matrix.

This whole process is row-dependent, the same process can be done using columns, which means we can select elements along the column and delete their row and column compute the determinant of the out matrix, and then multiply it with the element that we select. And we will get the same result as we get while doing the whole process along the row.

Minors of matrix

Minor is the value from the computation of a determinant of a square matrix, obtained by eliminating the row and the column that corresponds to the element under consideration.

Let A be a square matrix of order $\mathrm{n}(\mathrm{n} \geq 2)$ then the Minor of any element $a_{i j}$ where $\mathrm{i}, \mathrm{j}=1,2,3 \ldots . \mathrm{n}$ is the determinant of the matrix leftover after deleting the $\mathrm{i}^{\text {th }}$ row and $\mathrm{j}^{\text {th }}$ column, is called the minor of the element $a_{i j}$ and it is denoted by $\mathrm{M}_{\mathrm{ij}}$.

If we have the row and column passing through the element $a_{i j}$ then the second-order determinant formed by the remaining elements is called the minor of $a_{i j}$ and it is denoted by $M_{i j}$.

$
\mathrm{M}_{11}=\left|\begin{array}{ll}
a_{22} & a_{23} \\
a_{32} & a_{33}
\end{array}\right|=\mathrm{a}_{22} \mathrm{a}_{33}-\mathrm{a}_{23} \mathrm{a}_{32}
$

which is also the minor of determinant $A$ if we write $A$ in determinant form.
We can expand determinant w.r.t. any row or column. In each case, the value of the determinant is the same.

Cofactor of matrix

The cofactor of the matrix or determinant is the same as the minor of the matrix or determinant but the only difference is of sign, if $\mathrm{i}+\mathrm{j}$ is even then cofactor $=$ minor, if $\mathrm{i}+\mathrm{j}$ is odd then cofactor $=-$ minor,

$
\mathrm{C}_{\mathrm{ij}}=(-1)^{i+j} \mathrm{M}_{i j}
$

Or we can write, $\quad=\left\{\begin{array}{cc}M_{i j} & \text { if } \mathrm{i}+\mathrm{j} \text { is an even integer } \\ -M_{i j} & \text { if } \mathrm{i}+\mathrm{j} \text { is an odd integer }\end{array}\right.$

$
\mathrm{C}_{\mathrm{ij}} \text { is co - factor of } \mathrm{a}_{\mathrm{ij}}
$

For example,

$
\Delta=\left|\begin{array}{lll}
a_{11} & a_{12} & a_{13} \\
a_{21} & a_{22} & a_{23} \\
a_{31} & a_{32} & a_{33}
\end{array}\right|
$

then, minor of the element $\mathrm{a}_{21}$ is $M_{21}=\left|\begin{array}{ll}a_{12} & a_{13} \\ a_{32} & a_{33}\end{array}\right|$ and that of $\mathrm{a}_{32}$ is $M_{32}=\left|\begin{array}{ll}a_{11} & a_{13} \\ a_{21} & a_{23}\end{array}\right|$.
Cofactor of the element $a_{21}$ is

$
C_{21}=(-1)^{2+1} M_{21}=-\left|\begin{array}{ll}
a_{12} & a_{13} \\
a_{32} & a_{33}
\end{array}\right|
$

If we expand the determinant $\Delta$ along the first row, then the value of $\Delta$ in terms of minors is $\mathrm{a}_{11} \mathrm{M}_{11}$ $\mathrm{a}_{12} \mathrm{M}_{12}-\mathrm{a}_{13} \mathrm{M}_{13}$.

If we expand the determinant $\Delta$ along the first row, then the value of $\Delta$ in terms of co-factors is $\mathrm{a}_{11} \mathrm{C}_{11}+\mathrm{a}_{12} \mathrm{C}_{12}-\mathrm{a}_{13} \mathrm{C}_{13}$.

Thus, the products of the elements of any row or column with the corresponding cofactors are equal to the value of the determinant.

Also, the sum of the products of the elements of any row or column with the cofactors of the corresponding elements of any other row or column is zero.

Important Points

1) If any two rows (or columns) of a determinant are identical (all corresponding elements are the same), then the value of the determinant is zero.

2) If all the elements in one row or column are zero then the value of determinant is zero.

3) For easier calculations, we expand the determinant along that row or column which contains the maximum number of zeros.

Recommended Video Based on Minors and Cofactors


Solved Examples Based on Minors and Cofactors

Example 1: What is the minor of $\mathrm{a}_{23}$ in $\left|\begin{array}{ccc}1 & 3 & 5 \\ 8 & 2 & 1 \\ 5 & 6 & 10\end{array}\right|$ ?

Solution
Minor $M_{23}$ of the element $a_{23}$ is the determinant excluding the 2 nd row and 3rd column
So, minor $=\left|\begin{array}{ll}1 & 3 \\ 5 & 6\end{array}\right|=6-15=-9$
Hence, the answer is -9

Example 2: What is the co-factor of $\mathrm{a}_{33}$ in $\left|\begin{array}{lll}1 & 3 & 2 \\ 5 & 8 & 2 \\ 1 & 5 & 6\end{array}\right|$ ?

Solution
Minor of $a_{13}=\left|\begin{array}{ll}1 & 3 \\ 5 & 8\end{array}\right|=-7$
Cofactor of $\mathrm{a}_{13}=(-1)^{i+j} M_{i j}=(-1)^{1+3} M_{13}=-7$
Hence, the answer is -7

Frequently Asked Questions (FAQs)

1. What are minors?

Minor is the value from the computation of a determinant of a square matrix, obtained by eliminating the row and the column that corresponds to the element under consideration.

2. What is determinant of matrices?

The determinant is a scalar value that is a certain function of the entries of a square matrix. The determinant of a matrix is denoted by det A or |A|.

3. What is cofactors?

The cofactor of the matrix or determinant is the same as the minor of the matrix or determinant but the only difference is of sign, if i+j is even then cofactor = minor, if i + j is odd then cofactor = -minor.

4. What is the sum of the products of the elements of any row or column with the cofactors of the corresponding elements of any other row or column?

The sum of the products of the elements of any row or column with the cofactors of the corresponding elements of any other row or column is zero.

5. How would you calculate the value of the determinant?

The products of the elements of any row or column with the corresponding cofactors are equal to the value of the determinant.

6. How is a cofactor related to a minor?
A cofactor is closely related to a minor. It's the minor multiplied by (-1)^(i+j), where i and j are the row and column indices of the element. This alternating sign pattern is crucial for maintaining the properties of determinants.
7. How do you calculate the cofactor of an element in a 3x3 matrix?
To calculate the cofactor of an element in a 3x3 matrix:
8. Can a matrix have zero cofactors?
Yes, a matrix can have zero cofactors. This occurs when the minor of an element is zero. However, if all cofactors of a matrix are zero, it implies that the matrix is singular (non-invertible) and has a determinant of zero.
9. What is the relationship between determinants and cofactors?
Cofactors are integral to calculating determinants, especially for larger matrices. The determinant can be found by multiplying the elements of any row or column by their respective cofactors and summing the results. This relationship is the basis of the cofactor expansion method.
10. How are minors and cofactors used in finding the inverse of a matrix?
Minors and cofactors are used to find the adjugate matrix, which is then used to calculate the inverse. The process involves:
11. Can cofactors be used to test for matrix singularity?
Yes, cofactors can be used to test for matrix singularity. If all cofactors of a matrix are zero, the matrix is singular (non-invertible). This is because the determinant, which can be calculated using cofactors, is zero for a singular matrix.
12. What's the significance of the alternating sign pattern in cofactors?
The alternating sign pattern ((-1)^(i+j)) in cofactors is crucial for maintaining the properties of determinants. It ensures that when expanding along any row or column, the correct sign is applied to each term, preserving the overall value of the determinant.
13. Can you have a cofactor matrix for a non-square matrix?
No, cofactor matrices are defined only for square matrices. This is because cofactors are closely tied to determinants, which are only defined for square matrices. Non-square matrices don't have determinants in the traditional sense.
14. How do minors and cofactors relate to eigenvalues and eigenvectors?
While not directly used in finding eigenvalues and eigenvectors, minors and cofactors are related through the characteristic polynomial. The coefficients of the characteristic polynomial can be expressed in terms of sums of principal minors, which are determinants of submatrices along the main diagonal.
15. How do minors and cofactors relate to matrix conditioning?
Minors and cofactors provide information about the substructure of a matrix, which relates to its conditioning. A matrix with very small minors relative to its elements may be ill-conditioned, meaning small changes in input can lead to large changes in output when solving linear systems.
16. What is a minor in a matrix?
A minor in a matrix is the determinant of a smaller matrix formed by removing one row and one column from the original matrix. It represents the contribution of a specific element to the overall determinant.
17. Can a 2x2 matrix have minors?
No, a 2x2 matrix doesn't have minors in the traditional sense. Minors are typically defined for matrices 3x3 or larger. For a 2x2 matrix, you work directly with the elements to calculate the determinant or cofactors.
18. How do minors and cofactors relate to matrix rank?
The rank of a matrix is related to its minors. If the highest order non-zero minor is of order r, then the rank of the matrix is r. Cofactors, being derived from minors, can also be used to determine the rank, especially when considering the cofactor matrix.
19. How do minors and cofactors help in understanding matrix transformations?
Minors and cofactors provide insight into how a matrix transforms space. They relate to the scaling factors in different directions and help in understanding concepts like volume change under linear transformations. The determinant, calculated using cofactors, represents the overall scaling factor.
20. How are minors and cofactors used in Cramer's rule?
Cramer's rule uses minors and cofactors to solve systems of linear equations. It expresses the solution in terms of ratios of determinants, where the numerators are determinants of matrices formed by replacing a column with the constant terms, and the denominator is the determinant of the coefficient matrix.
21. Why do we need cofactors in matrix operations?
Cofactors are essential in various matrix operations, including finding the inverse of a matrix, calculating determinants using expansion by cofactors, and determining the adjugate matrix. They provide a way to break down complex matrix calculations into simpler components.
22. Can minors and cofactors be negative?
Yes, both minors and cofactors can be negative. Minors can be negative depending on the values in the submatrix. Cofactors alternate between positive and negative due to the (-1)^(i+j) factor, regardless of the sign of the minor.
23. What is the cofactor expansion method?
The cofactor expansion method is a technique for calculating the determinant of a matrix by expanding along a row or column. It involves multiplying each element in the chosen row or column by its cofactor and summing the results. This method is particularly useful for larger matrices.
24. What's the difference between a cofactor and an adjugate?
A cofactor is calculated for a single element in a matrix, while an adjugate (also called adjoint) is a matrix composed of all cofactors. The adjugate matrix is the transpose of the cofactor matrix and is used in finding the inverse of a matrix.
25. How does the size of a matrix affect the calculation of minors and cofactors?
As the size of the matrix increases, the calculation of minors and cofactors becomes more complex. For an nxn matrix, each minor is the determinant of an (n-1)x(n-1) matrix. This means larger matrices require more nested calculations, making the process more time-consuming.
26. How do minors and cofactors relate to matrix norms?
While not directly used in common matrix norms, minors and cofactors provide information about the substructure of a matrix that can influence its norm. For example, the maximum absolute column sum norm (1-norm) of the adjugate matrix (composed of cofactors) is related to the condition number of the original matrix.
27. How do minors and cofactors relate to the concept of generalized inverses?
While not directly used in computing most types of generalized inverses, minors and cofactors can provide insights into the structure of a matrix that inform the properties of its generalized inverses. For matrices close to being invertible, the adjugate (transpose of cofactor matrix) scaled appropriately can approximate certain generalized inverses.
28. What happens to cofactors when a matrix is multiplied by a scalar?
When a matrix is multiplied by a scalar k, each cofactor is multiplied by k^(n-1), where n is the size of the matrix. This is because each minor (which forms the basis of a cofactor) is multiplied by k^(n-1) when the original matrix is scaled.
29. What's the relationship between cofactors and the trace of a matrix?
While there's no direct relationship between individual cofactors and the trace, both contribute to understanding the matrix's properties. The sum of cofactors along the main diagonal, when divided by the determinant, equals the trace of the inverse matrix (if it exists).
30. How do minors and cofactors change when a matrix is transposed?
When a matrix is transposed, the minors and cofactors essentially swap positions. The minor of element a_ij in the original matrix becomes the minor of element a_ji in the transposed matrix. The same is true for cofactors, maintaining their sign pattern.
31. Can you use minors and cofactors to decompose a matrix?
While not a standard decomposition method like LU or QR, minors and cofactors can be used to express a matrix in terms of its adjugate (cofactor matrix transpose) and determinant. This relationship is A * adj(A) = det(A) * I, where I is the identity matrix.
32. How do minors and cofactors relate to matrix similarity?
Similar matrices have the same characteristic polynomial, which can be expressed in terms of sums of principal minors. While individual minors and cofactors may differ between similar matrices, certain combinations of them remain invariant under similarity transformations.
33. What's the geometric interpretation of cofactors in a 3x3 matrix?
In a 3x3 matrix representing a linear transformation, cofactors relate to the cross product. The cofactor of each element represents the component of the cross product of the other two rows (or columns) in the direction perpendicular to the plane formed by those rows (or columns).
34. How do minors and cofactors behave in block matrices?
In block matrices, minors and cofactors can sometimes be calculated using the properties of the submatrices. For certain structured block matrices, the cofactors may exhibit patterns that reflect the block structure, simplifying calculations.
35. Can minors and cofactors be used to detect linear dependence among rows or columns?
Yes, minors can be used to detect linear dependence. If all minors of a certain order are zero, it indicates that there are fewer linearly independent rows or columns than that order. This is related to the concept of matrix rank.
36. What's the significance of the cofactor matrix being the transpose of the adjugate?
The fact that the cofactor matrix, when transposed, gives the adjugate is crucial for matrix inversion. It allows for a simple formula for the inverse: A^(-1) = (1/det(A)) * adj(A). This relationship streamlines the process of finding the inverse for matrices where direct methods might be cumbersome.
37. How do minors and cofactors relate to the concept of matrix determinant trees?
Matrix determinant trees are graphical representations of the expansion of determinants. Each branch in the tree corresponds to a minor or cofactor in the expansion. The structure of the tree reflects the recursive nature of determinant calculation using minors and cofactors.
38. Can minors and cofactors be used in matrix approximation techniques?
Yes, minors and cofactors can be used in certain matrix approximation techniques. For example, in some iterative methods for finding matrix inverses, approximations of cofactors are used to refine estimates of the inverse matrix elements.
39. How do minors and cofactors behave in symmetric matrices?
In symmetric matrices, the minors and cofactors exhibit certain symmetries. The minor of a_ij is equal to the minor of a_ji, and the same holds for cofactors. This property can simplify calculations and provide insights into the structure of symmetric matrices.
40. What's the relationship between cofactors and the characteristic equation of a matrix?
The coefficients of the characteristic equation of a matrix can be expressed in terms of sums of principal minors. The last term of the characteristic equation (the constant term) is (-1)^n times the determinant, which can be calculated using cofactors.
41. How do minors and cofactors relate to matrix factorization methods?
While not directly used in common factorization methods like LU or QR, minors and cofactors can provide insights into the structure of a matrix that may inform the choice or efficiency of factorization methods. They are more directly related to the adjugate factorization: A * adj(A) = det(A) * I.
42. Can minors and cofactors be used to analyze matrix perturbations?
Yes, minors and cofactors can be useful in analyzing how small changes in matrix elements affect the overall matrix properties. The sensitivity of determinants and inverses to perturbations can be expressed in terms of cofactors, providing insight into the stability of matrix operations.
43. How do minors and cofactors relate to the concept of matrix pencils?
In the study of matrix pencils (A - λB), minors and cofactors of the combined matrix can provide information about the generalized eigenvalue problem. The determinant of the pencil, which involves cofactors, is crucial in analyzing the properties of the pencil.
44. What's the significance of Laplace's expansion in terms of minors and cofactors?
Laplace's expansion is a method of calculating determinants using minors and cofactors. It states that the determinant can be computed by expanding along any row or column, multiplying each element by its cofactor and summing. This method is particularly useful for sparse matrices or symbolic computation.
45. How do minors and cofactors behave in orthogonal matrices?
In orthogonal matrices, cofactors have a special relationship with the original matrix elements. For an orthogonal matrix Q, the cofactor of q_ij is equal to q_ji multiplied by the determinant of Q (which is ±1). This property simplifies many calculations involving orthogonal matrices.
46. Can minors and cofactors be used in matrix completion problems?
Yes, minors and cofactors can play a role in matrix completion problems. The rank of submatrices, which is related to the non-zero minors, can provide constraints and insights into possible completions of a partially known matrix.
47. How do minors and cofactors relate to the concept of matrix congruence?
While not directly used in defining congruence, minors and cofactors can help analyze how congruence transformations affect matrix properties. The determinant of a congruence transformation (A → P^T A P) can be expressed in terms of the determinants (and thus cofactors) of the original matrix and the transformation matrix.
48. What's the relationship between cofactors and the Cayley-Hamilton theorem?
The Cayley-Hamilton theorem states that every square matrix satisfies its own characteristic equation. The coefficients of this equation can be expressed in terms of sums of principal minors, which are closely related to cofactors. This connection provides a link between the algebraic and geometric properties of matrices.
49. How can minors and cofactors be used to understand matrix singularity in parametric matrices?
In parametric matrices, where elements depend on one or more parameters, analyzing the minors and cofactors as functions of these parameters can reveal conditions for singularity. The values of parameters that make all cofactors zero simultaneously indicate singular configurations of the matrix.
50. What role do minors and cofactors play in the study of matrix polynomials?
In matrix polynomials (polynomials whose coefficients are matrices), minors and cofactors of the coefficient matrices can provide information about the properties of the polynomial. They are particularly useful in studying the determinant of the matrix polynomial, which is itself a scalar polynomial.
51. Can minors and cofactors be used to analyze the sensitivity of eigenvalues?
Yes, minors and cofactors can be used in perturbation analysis of eigenvalues. The sensitivity of eigenvalues to small changes in matrix elements can be expressed in terms of cofactors of the characteristic matrix (A - λI), providing a tool for stability analysis in eigenvalue problems.
52. How do minors and cofactors behave in positive definite matrices?
In positive definite matrices, all principal minors are positive. This property, which can be checked using cofactors, is often used as a criterion for positive definiteness. The behavior of minors and cofactors in these matrices reflects their special structure and properties.
53. What's the significance of minors and cofactors in the study of matrix pencil regularization?
In matrix pencil regularization, which is important in control theory and differential-algebraic equations, minors and cofactors of the pencil (A - λB) can provide information about the index and solvability of the system. They help in analyzing the structure of the pencil and its regularization.
54. How can minors and cofactors be used to understand the structure of sparse matrices?
In sparse matrices, many minors and cofactors will be zero due to the abundance of zero elements. Analyzing the pattern of non-zero minors and cofactors can provide insights into the structure and properties of the sparse matrix, such as its rank and invertibility, without needing to perform full matrix computations.

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