Mathematics - Vectors and Matrices

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51. If product of matrix

 
If product of matrix

is a null matrix, then θ and Φ differ by an

  • Option : C
  • Explanation : Linear Algebra

    A null matrix, when cos 

    Linear Algebra

    i.e. if 

    Linear Algebra

    is an odd multiple of 

       Linear Algebra

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52. Sum of the eigen values of the matrix 

Sum of the eigen values of the matrix

for real and negative values of x is

  • Option : A
  • Explanation : Eigen values are given by the solution of equation

    Linear Algebra

    Since x is real and negative, put x = -k, where k is positive constant

    Linear Algebra

    Linear Algebra

    If λand λ2 be the solutions of the above equations then λand λare eigen values.

    Now sum of eigen values = sum of roots of the above equation

    Linear Algebra

    = 4 (> 0 )

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53. The system of equations 

4x + 6y = 8

7x + 8y = 9

3x + 2y = 1

has

  • Option : B
  • Explanation : For given system of equations

    Linear Algebra

    = 4 (8 - 18) - 6 (7 - 27) + 8 (14 - 24)

    = -40 + 120 - 80 = 0

    Since  Linear Algebra

    = 0, hence given system of equations has unique solution, i.e. only one solution.

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54. The system of equations 

4x + 6y = 8

7x + 8y = 9

3x + 2y = 1

has

  • Option : B
  • Explanation : For given system of equations

    Linear Algebra

    = 4 (8 - 18) - 6 (7 - 27) + 8 (14 - 24)

    = -40 + 120 - 80 = 0

    Since  Linear Algebra

    = 0, hence given system of equations has unique solution, i.e. only one solution.

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55. Eigen values of

Eigen values of

are

  • Option : C
  • Explanation : Given matrix is 

    Linear Algebra

    Now

    Linear Algebra

    Hence eigen values are 0, 0, 3.

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