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MATRIX CHALLENGE

Total questions: 30

Worksheet time: 14mins

Name
Class
Date
1.

Which one is the characteristic equation ?

a)

[ A-mI ] = 0

b)

| A-mI | = 0

c)

AX =mX

d)

| A | X= mX

2.

Choose the Correct Options

a)

Sum of the Diagonal Elements of A=Trace of transpose of A

b)

Sum of the Diagonal Elements of A=Trace of the Eigen value Diagonal matrix D

c)

Sum of the Eigen Values of A=Trace of A

d)

Sum of the Eigen Values of A=Determinant of A

3.

What is true about singular matrix A?

a)

|A| is 0

b)

|A| is not 0

c)

Atleast one of the Eigen Value if 0 implies its singularity

d)

Its inverse do not exist

4.

Norm of the Row matrix A=[1 2 -2i] is

(a)  

5.

Eigen Vectors corresponding to distinct Eigen values are

a)

Linearly Independent

b)

Linearly Dependent

c)

normalized

d)

None of the above

6.

What is true about Hermitian matrix?

a)

Transpose Conjugate of A = A

b)

Transpose Conjugate of A = -A

c)

Eigen Values are real and the Eigen vectors (for distinct Eigen values) are mutually orthogonal

d)

Eigen Values are real but the Eigen vectors are not mutually orthogonal

7.

What is true about Unitary Matrix?

a)

Transpose conjugate of A = A

b)

Modulus of each Eigen value is unity

c)

Eigen value is +1 or -1

d)

Transpose conjugate of A = inverse of A

8.

Find the Eigen Values of (in increasing order)

1 0 0; 0 3 0 ; 0 0 9 \lceil-1\ 0\ 0;\ 0\ 3\ 0\ ;\ 0\ 0\ -9\ \rceil  



(a)  

9.

Choose the correct options if AB=BA

a)

A and B commutes wrt multiplication

b)

If A is diagonal, then B is also diagonal

c)

B=A-1

d)

All of the above

10.

Choose the correct options for matrix A of order 2x3

a)

inverse of A= adjoint A / |A|

b)

Cayley Hamilton Theorem states that A satisfies its own characteristic equation

c)

Both of the above

d)

None of the above

11.

Choose the Correct Option

a)

Every matrix commutes with its inverse

b)

Determinant of Hermitian Matrix is Real

c)

Diagonal Elements of Skew Hermitian Matrix is 0 or purely imaginary

d)

All of the above

12.

If X is the column vector of order n and A is a square matrix of order n, then what is the order of X'AX ?

a)

1 x n

b)

n x n

c)

n x 1

d)

1 x 1

13.

A real symmetric matrix of order 3 will have ____ no. of independent components

a)

4

b)

6

c)

12

d)

8

14.

Tell the nature of this matrix [ i i i ; i i i ; i i i]

a)

Hermitian

b)

Orthogonal

c)

Skew Hermitian

d)

Unitary

15.

Which one is orthogonal matrix?

a)

[ cos x sin x ; sin x cos x]

b)

[ cos x sin x ; -sin x cos x]

c)

[ -cos x sin x ; sin x -cos x]

d)

[ cos x -sin x ; -sin x cos x]

16.

If A and B are the two Eigen vectors, then the condition for their orthogonality is

a)

B Ā'=0

b)

Ā' B=0

c)

Ā' B=1

d)

B Ā'=1

17.

How will you define unitary matrix A?

a)

A' A=I

b)

Ā' A =I

c)

A Ā' =I

d)

Ā' = A-1

18.

What is the trace of A= [ 2 3 6 ; -9 0 8 ; 6 2 3]

a)

5

b)

4

c)

-4

d)

-5

19.

Classify the matrix  

a)

Square matrix,  Diagonal matrix

b)

Idempotent matrix, Diagonal matrix

c)

Square matrix, Identity matrix

d)

Square matrix, triangular matrix

20.

You can post multiply a 2X3 matrix by which matrix?

a)
2X2
b)
2X12
c)
3X12
d)
2X3
21.

There are (a)   number of elements in 3x6 matrix

22.

Which of the following can have imaginary determinant?

a)

Hermitian

b)

Skew Hermitian

c)

Both

d)

None

23.

Choose the correct option(s)

a)

Similar matrices have same eigen vectors

b)

Similar matrices have same Eigen values

c)

Diagonalizing matrix of a diagonal matrix is identity matrix

d)

Diagonalizing matrix of a diagonal matrix is a null matrix

24.

A system of equations will have many solutions if

a)

no. of independent constraints is less than unknowns

b)

no. of independent constraints is equal to unknowns

c)

no. of independent constraints is greater than unknowns

d)

No of independent constraints is 0

25.

Inner Product is

a)

a scalar quantity

b)

a vector quantity

c)

sometimes scalar sometimes vector

d)

always same as a dot product

26.

B=7 x1y1-3 x2y1+8 x1y2+10 y2x2. The matrix representation of this bilinear form is

a)

[7 -3; 8 10]

b)

[7 8; -3 10]

c)

[10 -3; -8 7]

d)

[10 8; -3, 7]

27.

Which of them are Normal Matrix?

a)

Hermitian

b)

Skew Hermitian

c)

Unitary

d)

Real Orthogonal

28.

Zeroth power of any matrix is

a)

Identity matrix

b)

Null matrix

c)

Ones Matrix

d)

matrix itself

29.

Choose the correct option

a)

exp (A) = P. exp(D). P^-1

b)

exp (A) = P^-1 .exp(D). P

c)

exp (A) = P^-1. P. exp(D)

d)

P^-1 D =exp (A) P

30.

Choose the correct option (s)

a)

Matrix and its inverse have same eigen values

b)

Matrix and its inverse have same eigen vectors

c)

Matrix and its inverse is commutative wrt multiplication

d)

Matrix and its inverse product is identity matrix provided matrix is singular