CSIT 2nd Semester
Mathematics II Board Question Paper 2081


MTH 168-2081 ✡
Tribhuvan University
Institute of Science and Technology
2081
Bachelor Level/First Year/Second Semester/Science
Computer Science Information Technology (MTH 168)
(Mathematics II)
(New Course)
Full Marks:60 Pass Marks:24 Time:3 hours

Candidates are required to give their answers in their own words as for as practicable.
The figures in the margin indicate full marks

Section A
Long Answer Questions
Attempt any Two question.
[2x10=20]
1.

Define augmented matrix with an example. Find the general solution of the linear system whose augmented matrix is \[ \begin{bmatrix} 1 & 6 & 2 & -5 \\ -1 & 0 & 3 & 1 \\ 0 & -1 & -2 & 3 \end{bmatrix}. \]

2.

(a) Let \( A = \begin{bmatrix} 2 & 0 \\ 0 & 2 \end{bmatrix} \), and define \( T : \mathbb{R}^2 \rightarrow \mathbb{R}^2 \) by \( T(x) = Ax \). Find the image under \( T \) of \( u = \begin{bmatrix} 1 \\ -3 \end{bmatrix}, v = \begin{bmatrix} a \\ b \end{bmatrix} \).
(b) Prove that a map \( T : \mathbb{R}^2 \rightarrow \mathbb{R}^2 \) defined by \( T(x, y) = (y, x) \) is linear.

3.

Define inverse of a matrix. Find the inverse of a matrix \( A = \begin{bmatrix} 1 & 0 & 3 \\ 0 & 1 & 2 \\ -3 & 4 & 8 \end{bmatrix} \), if it exists.

Section B

Attempt any Eight questions

[8x5=40]
4.

Verify that \( (AB)^{-1} = B^{-1}A^{-1} \) if \( A = \begin{bmatrix} 1 & 1 \\ 3 & 4 \end{bmatrix} \) and \( B = \begin{bmatrix} 2 & 1 \\ 5 & 3 \end{bmatrix} \).

5.

Find LU factorization of \( \begin{bmatrix} 2 & 5 \\ 6 & -7 \end{bmatrix} \).

6.

Compute the determinants by cofactor expansions \( \begin{vmatrix} 6 & 0 & 0 & 5 \\ 1 & 7 & 2 & -5 \\ 2 & 0 & 0 & 0 \\ 8 & 3 & 1 & 8 \end{vmatrix} \).

7.

Show that the column vectors \( u = \begin{bmatrix} 1 \\ 0 \\ -1 \end{bmatrix}, v = \begin{bmatrix} 2 \\ 1 \\ 3 \end{bmatrix}, w = \begin{bmatrix} 4 \\ 2 \\ 6 \end{bmatrix} \) and \( x = \begin{bmatrix} 3 \\ 1 \\ 2 \end{bmatrix} \) is
\( x \) in span \(\{u, v, w\}\).

8.

Let \( B = \{b_1, b_2\} \) and \( C = \{c_1, c_2\} \) be bases for a vector space \( V \), and suppose
\[ b_1 = 6c_1 - 2c_2 \] and \[ b_2 = 9c_1 - 4c_2 \], then
(a) find the change of coordinates matrix from \( B \) to \( C \).
(b) find \[ [x]_c \] for \( x = -3b_1 + 2b_2 \).

9.

Let \( A = \begin{bmatrix} 1 & 6 \\ 5 & 2 \end{bmatrix} \). Find the eigenvalues and eigenvectors of \( A \).

10.

Determine the least squares error in the least-square solution of \( Ax = b \), where
\[ A = \begin{bmatrix} 4 & 0 \\ 0 & 2 \\ 1 & 1 \end{bmatrix}, x = \begin{bmatrix} 1 \\ 2 \end{bmatrix} \] and \[ b = \begin{bmatrix} 2 \\ 0 \\ 11 \end{bmatrix} \].

11.

Prove that the binary operation * defined on \( Z \) by letting \( m * n = m + n + 1 \) is
commutative and associative.

12.

Show that \((Q, +, .)\) forms a ring.