An adjoint of a matrix is an important concept in mathematics, especially in linear algebra. The word "adjoint" means related to a matrix. In simple terms, an adjoint of a matrix is the transpose of the cofactor matrix.
To find the adjacent, we calculate the cofactor for all the elements of the first given matrix, arrange them into a matrix, and then transpose it. This process is mainly used on square matrices such as 2 × 2 or 3 × 3.
The adjoint is very useful because it helps to find the inverse matrix, solves linear equations, and is used in many applications of algebra. In this article, we learn the steps for calculating the adjoint of a matrix, with properties, rules, and examples solved for better understanding.
Let A=⌊aij⌋n×n be a square matrix of order ๐. The adjoint of A is defined as the transpose of the cofactor matrix of A.
In other words, if C=⌊Aij⌋n×n is the cofactor matrix of ๐ด, then the adjoint of A is written as:
adj(A)=CT
Here,
aij = Matrix elements ๐ด in the ๐th row and ๐th column.
Aij = elements cofactor aij.
CT = Transpose of cofactor matrix.
Thus, the adjoint to a matrix is just the transpose of the cofactor matrix. It is mostly used to find the inverse of a square matrix.
The formula around a matrix is based on two steps: finding the cofactor matrix and then transposing it. If A=[aij]n×n, there is a square matrix, and Aij is the cofactor of the element aij. So the adjoint of ๐ด is:
Adj(A)=[Aij]T
For a 2 × 2 matrix, the formula becomes very simple. If
Then,
A=abcd
So the adjoint can easily be calculated for a small matrix, and the same process also works for a large square matrix.
Let ๐ด be a 2 × 2 matrix given by:
A=a11a12a21a22
Then, the adjoint of this matrix is :
adj(A)=A11A12A21A22T
Here,
A11 = Cofactor of a11
A12 = Cofactor of a12
A21 = Cofactor of a21
A22 = Cofactor of a22
Alternatively, for a 2 × 2 matrix, the adjoint can also be found in a simpler way:
Interchange the elements a11 and a22.
Change the signs of a12 and a21.
So,
adj(A)=a22−a12−a21a11
This makes it very quick and easy to calculate the adjoint of a 2 × 2 matrix.
Consider a 3 × 3 matrix:
A=a11a12a13a21a22a23a31a32a33
This adjoint matrix is found by taking the transpose cofactor matrix of ๐ด.
adj(A)=A11A12A13A21A22A23A31A32A33T
Hers each Aij is the cofactor sector of the element aij.
The minor of an element in a matrix is the determinant of the smaller matrix that we get after deleting the row and column of the element.
For example, the minor of the element ๐ 21 is called M21. It is obtained by removing the 2nd row & 1st column from the given matrix and then finding the determinant of the remaining 2 × 2
A cofactor matrix is the minor of an element with a sign (+ or -) depending on its position. Formulas to find a cofactor sector of an element aij are :
Cij=(−1)i=jdet(Mij))
Mij = Minor of the element aij
(- 1)i=j provides a proper sign (positive or negative) depending on the position.
So, the cofactor matrix is made using all these cofactors, and the transpose gives the adjoint of a 3 × 3 matrix.
We can also write a common formula to find the adjoint of a square matrix of order ๐ × ๐. Let ๐ด be a square matrix of order ๐ × ๐; its adjoint is given by the transpose of the cofactor matrix.
If,
A=[aij]n∗n
Then this matrix is adjoint to:
adj(A)=[Aij]T
Here, A11,A12,A21,A22,....Ann elements are cofactors a11,a12,a21,a22,....ann
So simple words, the adjoint of a matrix is just the transpose of the cofactor matrix of that given square matrix.
Start with a square matrix (order ๐ × ๐).
Find the minors of each element by deleting the row and column of the element.
Calculate the cofactors using the formula:
Cij=(−1)i+jdet(Mij)
Where Mij is he minor of element aij.
Form the cofactor matrix by arranging all cofactors in their respective positions.
Take the transpose of this cofactor matrix.
The result is the adjoint of the matrix, written as adj(A)
Some important properties of adjoint matrices are given below. These properties are very useful when solving problems in matrices and determinants.
Let A be a square matrix of order n. Then:
A (adj A) = (adj A). A = |A| I, where I is the identity matrix of order n.
For a zero matrix 0, we have adj(0) = 0.
For an identity matrix I, we have adj(I)=I.
For any scalar K,
adj (kA) = kn-1 adj (A)
adj (AT) = (adj A)T
The determinant of the adjoint is |adj A| =(|A|)n-1
If A is invertible and A-1 is its inverse, then:
adj A is invertible with inverse (|A|)-1A
If A and B are square matrices of the same order, then adj(AB) = (adjB)(adjA).
For any positive integer p, adj (Ap) = (adj A)p
If A is invertible, the same property also works for negative integers P.
A company uses a 2×2 matrix to model a set of product inputs and outputs.
Matrix A represents:
A=4132
A system of 3 linear equations is represented by a matrix
A=2−1310405−2
Find adj ( ๐ด ) and check if the inverse exists.
The matrix
A=1236
represents the transformation of points on a plane. Check whether this matrix can be inverted using the adjoint method.
Ans: The adjoint of a square matrix A = [ aij ]n*n is defined as the transpose of the matrix [ aij ]n*n, where Aij is the cofactor of the element aij.
Ans: The adjoint of a matrix B can be defined as the product of B with its adjoint, yielding a diagonal matrix whose diagonal entries are the determinant det(B). B adj(B) = adj(B) B = det(B) I, where I is an identity matrix. Suppose C is another square matrix then, adj(BC) = adj(C) adj(B).
Ans: The adjoint method formulates the gradient of a function towards its parameters in a constrained optimization form. By using the dual form of this constraint optimization problem, it can be used to calculate the gradient very fast.
Ans: In linear algebra, the adjugate or classical adjoint of a square matrix A, adj(A), is the transpose of its cofactor matrix. It is occasionally known as adjunct matrix, or adjoint , though that normally refers to a different concept, the adjoint operator which for a matrix is the conjugate transpose.
Ans: The adjoint of a matrix is the transpose of the matrix of its cofactors. First, we determine the cofactor of each element of the matrix. Then we form the cofactor matrix using these. Finally, we take the transpose of the cofactor matrix to obtain the adjoint.
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