Mathematics - Vectors and Matrices

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41. Rank of the matrix  Rank of the matrix 

is

  • Option : C
  • Explanation : Given matrix A possesses a minor of order 3,

    Linear Algebra

     

    Replacing 

    Linear Algebra Linear Algebra

    expanding with respect to R1

    = 2(-14) - (4)(-2)

    = -28  + 8  0  

    Linear Algebra

     .............................................(i)

    Also A does not possess any minor of order 4, i.e. 3 + 1

     ..................................................(ii)

    From Equations (i) and (ii), we get

    p(A) = 3 i.e. rank of A is 3.

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42. Eigen values of the matrix

Eigen values of the matrix

  • Option : C
  • Explanation : Characteristic equation is 

    Linear Algebra

    Linear Algebra Linear Algebra

    λ=  1, 4, 4 are the eigen values.

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43. Eigen values of the matrix

Eigen values of the matrix

are

  • Option : C
  • Explanation : Characteristic equation is 

    Linear Algebra

    Linear Algebra Linear Algebraλ =  1, 4, 4 are the eigen values.

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44. If

If  

then

  • Option : A
  • Explanation : This is a skew-symmetric matrix

    This is a skew-symmetric matrix.

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45. The eigen vectors of a real symmetric matrix corresponding to different eigen values are

  • Option : A
  • Explanation : Let A be a real symmetric matrix, therefore

    AT=A

    Let αand α2 be different eigen values of matrix A, and Xand Xbe the corresponding vectors, then

    AX1= α1Xand AX2 = α2X2

    Taking transpose of the second equation 

    (AX2)T=  (α2X2)

    X2TAT= α2.X2T 2X2T

    But AT-A

    Linear Algebra

    Post multiply by X1, we get

    XT2AX1 = aX2T X1

    But AX1 = a1X1

      XTa1X1 = aX2T X1

     (a- a2) X2TX1 = 0

    Since a a2, a- a 0

     X2TX1 = 0 i.e. X2 and X1 are orthogonal.

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