Linear Algebra MCQs and MSQs with Solutions for CSIR NET, IIT JAM : Matrices and Their Properties - VII

Practice Questions for NET JRF Linear Algebra Assignment: Matrices and Their Properties

61. Let \(A \in M_3(\mathbb{R})\) be such that \(\text{det} (A-I) = 0\) where \(I\) denotes the \(3 \times 3\) identity matrix. If the trace \((A) = 13\) and \(\text{det}(A) = 32\), then the sum of squares of the eigenvalues of \(A\) is___.






62. The possible set of eigenvalues of a \(4 \times 4\) skew-symmetric orthogonal real matrix is






63. Let \(V\) be a vector space of dimension \(m \geq 2\). Let \(T: V \rightarrow V\) be a linear transformation such that \(T^{n+1}=0\) and \(T^n \neq 0\) for some \(n \geq 1\). Then which of the following is necessarily TRUE?






64. For the matrix \(M=\begin{bmatrix}2 & 3+2i \\ 3-2i & 5 \\ -4 & -6i\end{bmatrix}\) Which of the following statements correct?

P: \(M\) is skew-Hermitian and \(iM\) is Hermitian

Q: \(M\) is Hermitian and \(iM\) is skew-Hermitian

R: eigenvalues of \(M\) are real

S: eigenvalues of \(iM\) are real






65. The distinct eigenvalues of the matrix \(\begin{bmatrix}1 & 1 & 0 \\ 1 & 1 & 0 \\ 0 & 0 & 0\end{bmatrix}\) are






66. The minimal polynomial associated with the matrix \(\begin{bmatrix}0 & 0 & 3 \\ 1 & 0 & 2 \\ 0 & 1 & 1\end{bmatrix}\) is






67. Which of the following matrices is NOT diagonalizable?






68. The number of linearly independent eigenvectors of the matrix \(\begin{bmatrix}2 & 2 & 0 & 0 \\ 2 & 1 & 0 & 0 \\ 0 & 0 & 3 & 0 \\ 0 & 0 & 1 & 4\end{bmatrix}\) is






69. Consider the matrix \(N=\begin{bmatrix}3/5 & -4/5 & 0 \\ 4/5 & 3/5 & 0 \\ 0 & 0 & 1\end{bmatrix}\) Then \(N\) is






70. If \(M\) is any \(3 \times 3\) real matrix and \(N=\begin{bmatrix}3/5 & -4/5 & 0 \\ 4/5 & 3/5 & 0 \\ 0 & 0 & 1\end{bmatrix}\), then trace \((N M N^T)\) is equal to






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