Question 1
[Tex]\text{Let } M = \begin{bmatrix} 1 & 2 & 3 \\ 3 & 1 & 3 \\ 4 & 3 & 6 \end{bmatrix}[/Tex]. [Tex]\text{Find } \det(M^2 + 12M)[/Tex]
0
1
2
3
Question 2
Let D = {x(1), . . . , x(n)} be a dataset of n observations where each x(i) β R100. It is given that [Tex]\sum\limits^{n}_{i=1}x^{(i)}=0[/Tex]. The covariance matrix computed from D has eigenvalues Ξ»i = 1002βi, 1 β€ i β€ 100. Let u β R100 be the direction of maximum variance with uTu = 1.
The value of

(Answer in integer)
200
100
300
150
Question 3
Consider the matrix:

Which ONE of the following statements is TRUE?
The eigenvalues of M are non-negative and real.
The eigenvalues of M are complex and conjugate pairs.
One eigenvalue of is positive and real and another eigen value of M is Zero.
One eigenvalue of M is non-negative and real,and another eigen value of M is negative and real.
Question 4
Select all choices that are subspaces of β 3 .
Note: β denotes the set of real numbers.
[Tex]\left\{\mathbf{x} =\begin{bmatrix}x_1 \\x_2 \\x_3\end{bmatrix}\in \mathbb{R}^3 :\mathbf{x} = \alpha\begin{bmatrix}1 \\1 \\0\end{bmatrix}+ \beta\begin{bmatrix}1 \\0 \\0\end{bmatrix}, \, \alpha, \beta \in \mathbb{R}\right\}[/Tex]
[Tex]\left\{\mathbf{x} =\begin{bmatrix}x_1 \\x_2 \\x_3\end{bmatrix}\in \mathbb{R}^3 :\mathbf{x} = \alpha^2\begin{bmatrix}1 \\2 \\0\end{bmatrix}+ \beta^2\begin{bmatrix}1 \\0 \\1\end{bmatrix}, \, \alpha, \beta \in \mathbb{R}\right\}[/Tex]
[Tex]\left\{\mathbf{x} =\begin{bmatrix}x_1 \\x_2 \\x_3\end{bmatrix}\in \mathbb{R}^3 :5x_1 + 2x_3 = 0, \, 4x_1 - 2x_2 + 3x_3 = 0\right\}[/Tex]
[Tex]\left\{\mathbf{x} =\begin{bmatrix}x_1 \\x_2 \\x_3\end{bmatrix}\in \mathbb{R}^3 :5x_1 + 2x_3 + 4 = 0\right\}[/Tex]
Question 5
Which of the following statements is/are TRUE?
Note: β denotes the set of real numbers.
There exist π΄ β β3Γ3 , π β β3 , and π β β3 such that π΄π± = π has a unique solution and Mπ± = π has infinite solutions.
There exist π΄ β β3Γ3 , π β β3 , and π β β3 such that π΄π± = π has no solution and Mπ± = π has infinite solutions.
There exist π΄ β β2Γ3 , π β β2 , and π β β2 such that π΄π± = π has a unique solution and Mπ± = π has infinite solutions.
There exist π΄ β β3Γ2 , π β β3 , and π β β3 such that π΄π± = π has a unique solution and Mπ± = π has no solution.
Question 6
Let β be the set of real numbers, π be a subspace of β3 and π΄ β β3Γ3 be the matrix corresponding to the projection on to the subspace π. Which of the following statements is/are TRUE?
If π is a 1-dimensional subspace of β3 , then the null space of π΄ is a 1-dimensional subspace.
If π is a 2-dimensional subspace of β3 , then the null space of π΄ is a 1-dimensional subspace.
M2=M
M3=M
Question 7
[Tex][/Tex]
[Tex]\text{Let } \mathbf{u} = \begin{bmatrix} 1 \\ 2 \\ 3 \\ 4 \\ 5 \end{bmatrix}[/Tex]
, and let [Tex]\sigma_1, \; \sigma_2, \; \sigma_3, \; \sigma_4, \; \sigma_5[/Tex] be the singular values of the matrix [Tex]M = uu^{T}[/Tex] (where [Tex]u^T[/Tex] is the transpose of π). The value of [Tex]\sum_{i=1}^{5} \sigma_i[/Tex] is ______.
50
55
60
65
Question 8
The number of additions and multiplications involved in performing Gaussian elimination on any n Γ n upper triangular matrix is of the order
O(n)
O(n2)
O(n3)
O(n4)
Question 9
The sum of the elements in each row of A β [Tex]R^{n \times n}[/Tex] is 1. If [Tex]B = A^3 β 2A^2 + A[/Tex], which one of the following statements is correct (for x β Rn )?
The equation Bx = 0 has no solution
The equation Bx = 0 has exactly two solutions
The equation Bx = 0 has infinitely many solutions
The equation Bx = 0 has a unique solution
Question 10
Which of the following statements is/are correct?
Rn has a unique set of orthonormal basis vectors
Rn does not have a unique set of orthonormal basis vectors
Linearly independent vectors in Rn are orthonormal
Orthonormal vectors Rn are linearly independent
There are 15 questions to complete.