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1. A matrix A for which AP = 0 where P is a positive integer is called
(a) unit matrix
(b) nilpotent
(c) symmetric
(d) skew symmetric
2. Let A be an n × n skew-symmetric matrix then A+AT =
(a) 0
(b) 2AT
(c) 1
(d) 2A
3. (AB)T =
(a) (A+B)T
(b) BT AT
(c) AT B
T
(d) −AT B
T
4. A square matrix A is called orthogonal if
(a) AT = A
(b) A = AT
(c) AA−1 = I
(d) A2 = A
5. If Am×n and B p×q are two matrices state the conditions for the existence of AB
(a) n = p
(b) n<p
(c) n=p
(d) n>p
6. A square matrix is said to upper triangular matrix if
(a) aij = 0 , ∀ i < j
(b) aij = 0, ∀ i = j
(c) aij = 1 , ∀ i = j
(d) aij = 0 , ∀ i > j
7. The rank of a matrix in Echelon form is equal to
(a) Number of non - zero rows
(b) Number of diagonal elements
(c) Number of non-zero elements
(d) Number of non zero -columns
8. If A = LU, then A−1 =
(a) U −1L−1
(b) L−1U −1
(c) 1/ (LU)
(d) (LU )−1
9. The system of equations x + y + 3z = 0, 4x + 3y + 8z = 0, 2x + y + 2z = 0 is
(a) unique solution
(b) In consistent
(c) no solution
(d) consistent
10. The system 2x + y + z = 0 , x + y + 3z = 0 and 4x + 3y +λz = 0 has trivial solution then
(a) λ = 8
(b) λ = 6
(c) λ = 8
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(d) λ = 6
11. The eigen values of A =
−1 6 80 1 80 0 7
are
(a) -1, 2, 3
(b) 1, 2, 3
(c) - 1, 1, 7
(d) 1, 1, 7
12. The product of the eigen values of A =
1 2 00 1 50 0 2
is
(a) -1
(b) 1
(c) 2
(d) -2
13. If A =
1 3 10 2 60 0 3
then the sum of the eigen values of A and AT is
(a) 12
(b) 6
(c) 10
(d) 11
14. The eigen vector corresponding to the eigen value λ = 1 for the matrix
1 2 30 −4 70 0 7
is
(a) ( 1, 1, 1 )
(b) (k, 0, 0 )
(c) (0, k, 0 )
(d) ( 0, 0, 0 )
15. A and B are similar matrices and if X is an eigen vector of A then the eigen vector of the matrix B is
(a) P−1 X
(b) AX
(c) P−1 AB
(d) P−1 AX
16. By Cayley Hamilton theorem, matrix A =
5 41 2
, satisfies its characteristic equation. Which is
(a) A2 - 7A + 6 = 0
(b) A2 - 7A - 6 = 0
(c) A2 - 7A+ 2 = 0
(d) A2 - 7A - 2 = 0
17. If A =
1 22 − 1
, then by Cayley- Hamilton theorem, A8 is
(a)
624 00 624
(b)
626 00 626
(c)
625 00 625
(d)
623 0
(a)
0 1
(b)
6 00 1
(c)
−6 00 1
(d)
6 00 − 1
19. If D = B−1 AB , where D is the diagonal matrix then An =
(a) (B−1DB)n
(b) B DnB−1
(c) (B D B−1)n
(d) B−1Dn B
20. The normalized modal matrix is obtained by dividing
(a) each column by sum of the diagonal elements
(b) each row by length of a vector
(c) each column by length of a vector
(d) each row by sum of the diagonal elements