Questions
Syllabus
Qns. By Syllabus

Semester

Subject

Year

Bachelors Level/First Year/Second Semester/Science csit/second semester/mathematics ii/syllabus wise questions

B.Sc Computer Science and Information Technology

Institute of Science and Technology, TU

Mathematics II (MTH168)

Year Asked: 2079, syllabus wise question

Determinants
1.
Evaluate the determinant of the matrix
[5−722030−4−5−803050−6]\begin{bmatrix} 5 & -7 & 2 & 2 \\ 0 & 3 & 0 & -4 \\ -5 & -8 & 0 & 3 \\ 0 & 5 & 0 & -6 \end{bmatrix}
[5]
Eigenvalues and Eigen Vectors
1.
Find the eigenvalues of the matrix
[63−80−2010−3]\begin{bmatrix} 6 & 3 & -8 \\ 0 & -2 & 0 \\ 1 & 0 & -3 \end{bmatrix}
[5]
Groups and Subgroups
1.
Define group. Show that the set of integers is not a group with respect to subtraction operation. [5]
Linear Equations in Linear Algebra
1.
Reduce the system of equations into echelon form and solve:
x1−2x2−x3+3x4=0x_1 - 2x_2 - x_3 + 3x_4 = 0
−2x1+4x2+5x3−5x4=3-2x_1 + 4x_2 + 5x_3 - 5x_4 = 3
3x1−6x2−6x3+8x4=23x_1 - 6x_2 - 6x_3 + 8x_4 = 2
[10]
2.
When a linear system of equation is consistent? Find the values of h and k for which the system is consistent:
2x1−x2=h2x_1 - x_2 = h
−6x1+3x2=k-6x_1 + 3x_2 = k
[5]
Matrix Algebra
1.
The economy whose consumption matrix C is and the final demand is 50 units for manufacturing, 30 units for agriculture and 20 units for service. Find the production level x that will satisfy this demand.
C=[0.50.40.20.20.30.10.10.10.3]C = \begin{bmatrix} 0.5 & 0.4 & 0.2 \\ 0.2 & 0.3 & 0.1 \\ 0.1 & 0.1 & 0.3 \end{bmatrix}
[10]
Orthogonality and Least Squares
1.
Find the equation y = a0a_0 + a1a_1 x of the least square line that best fits the data points (0, 1), (1, 1), (1, 1), (2, 2), (3, 2). [10]
Rings and Fields
1.
Define ring. Show that the set of positive integers with respect to addition and multiplication operation is not a ring. [5]
Transformation
1.
Define linear transformation with an example. Let
A=[1−335−17], v=[2−1], b=[324], x=[x1x2]A = \begin{bmatrix} 1 & -3 \\ 3 & 5 \\ -1 & 7 \end{bmatrix},\ v = \begin{bmatrix} 2 \\ -1 \end{bmatrix},\ b = \begin{bmatrix} 3 \\ 2 \\ 4 \end{bmatrix},\ x = \begin{bmatrix} x_1 \\ x_2 \end{bmatrix}
and define a transformation T:R2→R2 by T(x)=Ax then\text{and define a transformation } \mathbf{T}: \mathbb{R}^2 \to \mathbb{R}^2 \text{ by } T(x) = Ax \text{ then}
a. find T(v)a.\ \text{find } T(v)
b. find x∈R2 whose image under T is bb.\ \text{find } x \in \mathbb{R}^2 \text{ whose image under } T \text{ is } b
[10]
2.
The column of I2=[1001]I_2 = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} are e1=[10]e_1 = \begin{bmatrix} 1 \\ 0 \end{bmatrix} and e2=[01]e_2 = \begin{bmatrix} 0 \\ 1 \end{bmatrix}. Suppose T is a linear transformation from R2\mathbb{R}^2 into R3\mathbb{R}^3 such that
T(e1)=[51−2], T(e2)=[0−18]T(e_1) = \begin{bmatrix} 5 \\ 1 \\ -2 \end{bmatrix},\ T(e_2) = \begin{bmatrix} 0 \\ -1 \\ 8 \end{bmatrix}
find a formula for the image of an arbitrary xx in R2\mathbb{R}^2. That is, find T(x)T(x) for xx in R2\mathbb{R}^2. [2.5+2.5]
Vector Space Continued
1.
Define null space of a matrix A. show that v is null of A.
A=[−1−325−91], v=[5−3−2]A = \begin{bmatrix} -1 & -3 & 2 \\ 5 & -9 & 1 \end{bmatrix},\ v = \begin{bmatrix} 5 \\ -3 \\ -2 \end{bmatrix}
[5]
Vector Spaces
1.
Determine the column of the matrix A are linearly independent, where
A=[−28−10000−53]A = \begin{bmatrix} -2 & 8 & -1 \\ 0 & 0 & 0 \\ 0 & -5 & 3 \end{bmatrix}
[5]
2.
When two column vector in R2\mathbb{R}^2 are equal? Give an example. Compute u+3vu + 3v, u−2vu - 2v, where
u=[1−32], v=[1−13]u = \begin{bmatrix} 1 \\ -3 \\ 2 \end{bmatrix},\ v = \begin{bmatrix} 1 \\ -1 \\ 3 \end{bmatrix}
[5]
3.
Verify that 1k,−2k,3k1k, -2^k, 3^k are linearly independent signals. [5]
4.
Define unit vector. Find a unit vector of u = (0, -2, 2, -3) in the direction of u. [5]