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Application of Matrices and Determinants 2 Mark Book Back Question Paper With Answer Key

12th Standard

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Maths

Time : 00:30:00 Hrs
Total Marks : 50

     2 Marks 

    25 x 2 = 50
  1. If A = \(\left[ \begin{matrix} a & b \\ c & d \end{matrix} \right] \) is non-singular, find A−1.

  2. If A is a non-singular matrix of odd order, prove that |adj A| is positive

  3. If A is symmetric, prove that then adj A is also symmetric.

  4. Prove that \(\left[ \begin{matrix} \cos { \theta } & -\sin { \theta } \\ \sin { \theta } & \cos { \theta } \end{matrix} \right] \) is orthogonal.

  5. Find the adjoint of the following:
    \(\left[ \begin{matrix} -3 & 4 \\ 6 & 2 \end{matrix} \right] \)

  6. If adj(A) = \(\left[ \begin{matrix} 2 & -4 & 2 \\ -3 & 12 & -7 \\ -2 & 0 & 2 \end{matrix} \right] \), find A.

  7. If adj(A) = \(\left[ \begin{matrix} 0 & -2 & 0 \\ 6 & 2 & -6 \\ -3 & 0 & 6 \end{matrix} \right] \), find A−1.

  8. Find adj(adj (A)) if adj A = \(\left[ \begin{matrix} 1 & 0 & 1 \\ 0 & 2 & 0 \\ -1 & 0 & 1 \end{matrix} \right] \).

  9. Find the rank of each of the following matrices:
    \(\left[ \begin{matrix} 3 & 2 & 5 \\ 1 & 1 & 2 \\ 3 & 3 & 6 \end{matrix} \right] \) 

  10. Find the rank of the following matrices which are in row-echelon form :
    \(\left[ \begin{matrix} 2 & 0 & -7 \\ 0 & 3 & 1 \\ 0 & 0 & 1 \end{matrix} \right] \)

  11. Find the rank of the matrix \(\left[ \begin{matrix} 1 & 2 & 3 \\ 2 & 1 & 4 \\ 3 & 0 & 5 \end{matrix} \right] \) by reducing it to a row-echelon form.

  12. Find the inverse of the non-singular matrix A = \(\left[ \begin{matrix} 0 & 5 \\ -1 & 6 \end{matrix} \right] \), by Gauss-Jordan method.

  13. Find the rank of the following matrices by minor method:
    \(\left[ \begin{matrix} 2 & -4 \\ -1 & 2 \end{matrix} \right] \)

  14. Find the inverse of each of the following by Gauss-Jordan method:
    \(\left[ \begin{matrix} 2 & -1 \\ 5 & -2 \end{matrix} \right] \) 

  15. Solve the following system of linear equations, using matrix inversion method: 
    5x + 2y = 3, 3x + 2y = 5.

  16. Solve the following system of linear equations by matrix inversion method:
    2x + 5y = −2, x + 2y = −3

  17. Solve, by Cramer’s rule, the system of equations
    x1 - x2 = 3, 2x1 + 3x2 + 4x3 = 17, x2 + 2x3 = 7.

  18. Test for consistency of the following system of linear equations and if possible solve:
    x - y + z = -9, 2x - 2y + 2z = -18, 3x - 3y + 3z + 27 = 0.

  19. Find the adjoint of the following:
    \(\left[ \begin{matrix} 2 & 3 & 1 \\ 3 & 4 & 1 \\ 3 & 7 & 2 \end{matrix} \right] \)

  20. Find the adjoint of the following:
    \(\frac { 1 }{ 3 } \left[ \begin{matrix} 2 & 2 & 1 \\ -2 & 1 & 2 \\ 1 & -2 & 2 \end{matrix} \right] \)

  21. Find the rank of the following matrices by minor method:
    \(\left[ \begin{matrix} -1 & 3 \\ 4 & -7 \\ 3 & -4 \end{matrix} \right] \)

  22. Find the rank of the following matrices by minor method:
    \(\left[ \begin{matrix} 1 \\ 3 \end{matrix}\begin{matrix} -2 \\ -6 \end{matrix}\begin{matrix} -1 \\ -3 \end{matrix}\begin{matrix} 0 \\ 1 \end{matrix} \right] \)

  23. Solve the following system of linear equations by matrix inversion method :
    2x  −  y  =  8 ,   3x  +  2y  =  −2.

  24. Find the rank of the following matrices which are in row-echelon form :
    \(\left[ \begin{matrix} -2 & 2 & -1 \\ 0 & 5 & 1 \\ 0 & 0 & 0 \end{matrix} \right] \)

  25. Find the rank of the following matrices which are in row-echelon form :
    \(\left[ \begin{matrix} 6 \\ \begin{matrix} 0 \\ \begin{matrix} 0 \\ 0 \end{matrix} \end{matrix} \end{matrix}\begin{matrix} 0 \\ \begin{matrix} 2 \\ \begin{matrix} 0 \\ 0 \end{matrix} \end{matrix} \end{matrix}\begin{matrix} -9 \\ \begin{matrix} 0 \\ \begin{matrix} 0 \\ 0 \end{matrix} \end{matrix} \end{matrix} \right] \)

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