Mathematics - Vectors and Matrices

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46. An arbitary vector X is an eigen vector of the matrix

An arbitary vector X is an eigen vector of the matrix

then (a,b)=

  • Option : B
  • Explanation : Since matrix is triangular, the eigen values are a, a, b.

    (X1,X2,X3) is an arbitary eigen vector, say corresponding to 1, then

    Linear algebra

    X2 Xbeing not zero, we have

    X= X; aX=  X2

    which gives a = 1

    and bX3 = X3

    which gives b - 1

     (a, b) = (1, 1)

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47. For which value of k, the following system is consistent?

2x-5ky+6z=0

kx+2y-2z=0

2x+2y-kz=0

  • Option : B
  • Explanation : Linear Algebra

    Equations are consistent, if rank of A and that of k are equal. But in this case it is always true. Hence the equations

    will have a trivial solution if  IAI  0

    Therefore only non- trivial solution will exist if  IAI = 0

    Linear Algebra

    2(-2k+4) + k(-k2+4+6)(2k-4) = 0 

     -5k3+ 20k - 4k + 8 + 12k - 24 = 0

     5k- 28k + 16 = 0

     5k- 10k2 + 10k2 - 20k - 8k + 16 = 0

     (5k2+ 10k - 8)(k - 2) = 0

      Linear Algebra

       or 2

    Linear Algebra

       or   2
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48. The value of  λ for which the equations

2x + y + 2z = 0

x + y + 3z = 0

4x + y + λz = 0

have non-zero solution, is

  • Option : D
  • Explanation : Equivalent matrix equation is 

    Linear Algebra

    In order that the given system of equations may have non-zero solution, the rank of A should be less than 3.

    This requires that 

    Linear Algebra

    Interchanging R1 and R2

    Linear Algebra

    By (R- 2R1) and (R3 - 4R1),

       Linear Algebra

    Linear Algebra

    Linear Algebra

    Linear Algebra

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49. The system of equations

a1x + a2y = 0

b1x + b2y = 0

where a1, a2 , b1, bare real numbers,

has a non-trivial solutions if

  • Option : B
  • Explanation : Linear Algebra

    Equations are consistent only if,

    Linear Algebra

    a1b= b1a2

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50. The solution of the given matrix equation is

The solution of the given matrix equation is

  • Option : A
  • Explanation : Let matrices 

    Linear Algebra

     AX = B

    Multiplying both sides by A-1

    X = A-1B

    But as B = 0 therfore X = 0

    Hence 

    Linear Algebra

      x1 = 0, x2 = 0, x3 = 0

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