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  • 7/30/2019 mm-25

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    1. The matrix

    0 6 66 0 6

    6 6 0

    is a matrix

    (a) Orthogonal

    (b) Skew-symmetric

    (c) Nilpotent

    (d) Symmetric

    2. If A = 2 1

    0 1

    and B = 1 2

    1 0

    then (A + B)

    T

    =

    (a)

    3 1

    1 3

    (b)

    3 3

    1 1

    (c)

    3 1

    3 1

    (d)

    1 3

    3 1

    3. Find the value of x such that A is singular were A =

    3 x 2 22 4 x 12 4 (1 + x)

    (a) 4

    (b) 3

    (c) 5

    (d) 2

    If A =

    1 0 0 1 1 1

    and B =

    1 0 02 1 03 4 1

    4. (a) A is row equivalent to B only when =0, = 3 and = 0

    (b) A is row equivalent to B only when =2, = 3 and = 0

    (c) A is row equivalent to B only when =2, = 0 and = 4

    (d) A is row equivalent to B only when =2, = 3 and = 4

    5. If A =

    3 2

    5 6

    and B =

    1 3

    2 5

    are such that 2A + 3B + X =0 , then X =

    (a)

    9 1316 27

    (b) 9 1316 27(c)

    9 1316 27

    (d)

    9 1316 27

    6. The rank of a 3 5 matrix in which one row is a constant multiple of the other is lessthan or equal to(a) 1

    (b) 3

    (c) 5

    (d) 2

    7. The rank of a unit (identity) matrix of order 4 is

    (a) 3

    (b) 1

    (c) 4

    (d) 2

    8. The rank of a matrix A =

    1 2 3

    0 x 4

    1 1 1

    is 2, then the value of x is

    (a) 3

    (b) 6

    (c) 4

    (d) 5

    9. The necessary and sufficient condition that the system of equations AX = B is consistent if

    (a) R(AB) > R(A)

    (b) R(AB) < R(A)

    (c) R(AB) = R(A)

    (d) R(AB) = R(A)

    10. If L =

    1 2 30 1 4

    0 0 1

    and X =

    xy

    z

    then the system L X = 0 has a solution

    (a) x = -1, y = 1, z = 1

    (b) x = 0, y = 0, z = 0

    (c) x = 1, y = 1, z = 0

    (d) x = 1, y = 1, z = 1

    11. If A =

    2 00 1

    then the characteristic equation of A2 is

    (a) 2 5 + 24 = 0(b) 2 + 6 + 4 = 0

    (c) 2 + 5 - 4 = 0

    (d) 2 5 + 4 = 0

    12. Eigen values of A =

    1 03 2

    are

    (a) - 1, -2

    (b) 1,2

    (c) 0,1

    (d) 2,313. If one of the eigen value is zero, then |A| is

    (a) non - zero

    (b) zero

    (c) - |A |(d) unity

    14. The normalized form of eigen vector for

    21

    1

    is

    (a) 1/6 21

    1

    (b) 1/

    6

    21

    1

    (c) 1/

    6

    21

    1

    (d) 1/

    6

    2

    11

    15. If X is an eigen vector of A corresponding to an eigen value and k is any non zero scalar, then is an eigen

    vector of A for the same eigen value .

    (a) kX

    (b) -kX

    (c) - X

    (d) X

    16. Every square matrix satisfies its equation

    (a) Non linear

    (b) Linear(c) characteristic

    (d) quadratic

    17. The characteristic equation of the square matrix A =

    2 51 3

    is 2 + - 11 = 0 , then A2 is

    (a)

    9 51 14

    (b)

    9 51 14

    (c) 9 5

    10 3

    (d)

    9 51 14

    18. The diagonal matrix has the eigen values of A as its elements

    (a) diagonal

    (b) real

    (c) row

    (d) positive

    19. If1 , 2 , 3 are the eigen values of matrix A and An = BDnB1 then Dn =

    (a)

    n

    10 0

    0 n2

    00 0 n

    3

    (b)

    n

    10 0

    0 n2

    00 0 n

    3

    (c)

    1 0 00

    20

    0 0 3

    (d)

    n1

    0 00 n

    20

    0 0 n

    3

    20. If X1 =

    13

    , X2 =

    21

    are the eigen vectors of A, then the normalized modal matrix of A is

    (a)

    110

    25

    310

    15

    (b)

    110

    25

    310

    15

    (c)

    110

    25

    310

    15

    (d) 1

    10

    25

    310

    15

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