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Mastering matrices is crucial for anyone studying advanced mathematics, computer science, or engineering. This article provides a comprehensive set of practice questions on matrices will guide you through a variety of problems, from basic to advanced levels these problems designed to strengthen your understanding and problem-solving skills in this fundamental area.
Some of the important formulas and concepts that will help to solve these practice questions on matrices are mentioned below.
Order of Matrices : Order of a Matrix tells about the number of rows and columns present in a matrix. Letβs say if a matrix has 4 rows and 5 columns then the order of the matrix will be 4β¨―5.
Transpose of a Matrix : Transpose of a Matrix is the rearrangement of row elements in column and column elements in a row to yield an equivalent matrix. The transpose matrix is represented as AT. if A = [aij]mxn , then AT = [bij]nxm where bij = aji.
Properties of the transpose of a matrix are mentioned below:
Trace of Matrix : Trace of a Matrix is the sum of the principal diagonal elements of a square matrix. Trace of a matrix is only found in the case of a square matrix because diagonal elements exist only in square matrices.
Determinant of a Matrix: Determinant of a matrix is a number associated with that square matrix it is is calculated by adding the product of the elements of a matrix with their cofactors.. The determinant of a matrix can only be calculated for a square matrix. It is represented by |A|.
Minor of a Matrix:Minor of a matrix for an element is given by the determinant of a matrix obtained after deleting the row and column to which the particular element belongs to. Minor of Matrix is represented by Mij.
Cofactor of Matrix :Cofactor of a matrix is found by multiplying the minor of the matrix for a given element by (-1)i+j. Cofactor of a Matrix is represented as Cij. Hence, the relation between the minor and cofactor of a matrix is given as Mij = (-1)i+jMij.
Adjoint of Matrix : Adjoint is calculated for a square matrix. Adjoint of a matrix is the transpose of the cofactor of the matrix. The Adjoint of a Matrix is thus expressed as adj(A) = CT where C is the Cofactor Matrix.
Inverse of a Matrix : For a square matrix of order n its inverse can be defined as a matrix which when multiplied by the original matrix generates an identity matrix I of order n. i.e. AΓA-1 = I The inverse is only calculated for a square matrix whose determinant is non-zero.
The formula for the inverse of a matrix is given as:
A-1 = adj(A)/det(A) = (1/|A|)(Adj A), where |A| should not be equal to zero, which means matrix A should be non-singular.
Basic formula for the matrices are discussed below:
Question1: If (A+B)2= A2 +2AB+ B2 then what can we say about A and B? (Assume AB and BA exists)
Solution:
(A+B)2 = (A+B) (A+B)
β According to question,
β A2 + AB + BA + B2 = A2 + 2AB + B2
β AB+BA = 2AB
β BA = ABβ So, we can say that A and B are commutative
Question2: If A is a n x m matrix such that AB and BA are both defined, then order of B is:
Solution:
If A size is n x m and it is also given that AB is defined then,
β An x m X Bm x β = (AB)n x n
β β = nOR
β Bβ x m X An x m = (AB)n x n
β β = nβ So, the size of the matrix B is m x n
Question3: Under what conditions is the matrix equation A2-B2 = (A-B) (A+B) will be true?
Solution:
We are given, A2-B2 = (A-B) (A+B)
β A2 - B2 = A2 + AB - BA + B2
β AB - BA = 0
β AB = BAβ So, we can say that A and B should be commutative
Question4: If AB = A and BA = B, then show that A and B are idempotent matrices.
Solution:
We are given that,
AB = A
β A(BA) = A
β (AB)A = A
β (A)A = A
β A2 = Aβ So, we can say that A is idempotent matrix
Similarly, we can prove that B is also an idempotent matrix.
Question5: Show that the sum of two idempotent matrices A and B is idempotent if AB = BA = 0.
Solution:
We have been given that,
AB = BA = 0 and A2 = A and B2 = B
β (A+B)2 = (A+B) (A+B)
β (A+B)2 = A2 + AB + BA + B2
β (A+B)2 = A2 + B2 {since, AB=BA=0}
β (A+B)2 = A + Bβ Hence, sum of two idempotent matrices A and B is idempotent if AB=BA=0
Question6: Evaluate where is one of the cube roots of the unity.
Solution:
Since is the cube root of unity, we know that
By applying C1 β C1 + C2 + C3
β
Now, we know sinceAbove determinant is written as,
β
βHence, the value of the given determinant is 0
Question7: Evaluate
Solution:
By applying R1 β R1 + R2 + R3
β
β
β
Question8: If A is a symmetric matrix, then prove that adj A (adjoint of A) is also symmetric.
Solution:
Let 'A' is a symmetric matrix, then AT = A
We know that,
β (adj A)T = adj AT
β (adj A)T = adj AHence, adj A is also a symmetric matrix
Question9: Show that if A is a non-singular matrix, then det(A-1 ) = (det(A))-1
Solution:
We know that, |A-1| = 1 / |A|
β A A-1 = In {where, I is an Identity matrix}
β |A A-1| = |In|
β |A| |A-1| = 1
β |A-1| = 1 / |A|
β |A|-1 = 1 / |A|Hence proved
Question10: If A and B are n rowed squared matrices and AB = 0 & |B| β 0, then A = 0. State True or False.
Solution:
Since, AB = 0
By multiplying by I on both sides, {where, I is an identity matrix}
β A B B-1 = 0 B-1
β A I = 0
β A = 0Hence the above statement is True.
Question 1: Find x so that
Question 2: Under what conditions is the matrix equation A2- B2 = (A+B).(A+B) true?
Question 3: Evaluate
Question 4: Evaluate
Question 5: Prove that
Question 6: Evaluate
Question 7: If a+b+c = 0, then solve the equation
Question 8: Prove that if A is idempotent and A β I, then A is singular.
Question 9: Only a square, non-singular matrix possesses inverse which is unique. State True or False.
Question 10: If AB = 0, does it imply that it is necessary that BA = 0.