MTH168 Mathematics II

Mathematics II TU Board 2079 question paper

15 questionsSit this paper (timed)

Tribhuvan University

Bachelor of Science in Computer Science and Information Technology

Semester 2 · TU Board 2079

Course Title: Mathematics II (MTH168)

Full Marks: 80Pass Marks: 32Time: 3 hours

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

Group A

Attempt any THREE questions (3 x 10 = 30).(3 × 10 = 30)

  1. 1.

    Reduce the system of equations into echelon form and solve:

    x_1 – 2x_2 – x_3 + 3x_4 = 0

    -2x_1 + 4x_2 + 5x_3 – 5x_4 = 3

    3x_1 – 6x_2 – 6x_3 + 8x_4 = 2

    10
  2. 2.

    Define linear transformation with an example.

    Let A = , v = , b = , x =

    and define a transformation T:R^2 → R^2by T(x) = Ax then

    1. find T(v)
    2. find x ∈ R^2 whose image under T is b
    10
  3. 3.

    The economy whose consumption matix C is

    C =

    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.

    10
  4. 4.

    Find the equation y = a_0 + a_1x of the least square line that best fits the data points (0, 1), (1, 1), (1, 1), (2, 2), (3, 2).

    10

Group B

Attempt any TEN questions (10 x 5 = 50).(10 × 5 = 50)

  1. 5.

    When a linear system of equation is consistent? Find the values of h and k for which the system: 2x_1 – x_2 = h; -6x_1 + 3x_2 = k is consistent?

    5
  2. 6.

    Determine the column of the matrix A are linearly independent, where

    A =

    5
  3. 7.

    When two column vector in R^2 are equal? Give an example. Computer u + 3v, u – 2v, where

    u = , v =

    5
  4. 8.

    The column of I_2 = are (e_1) = , and e_2 = . Suppose T is a linear transformation from R^2 into R^3 such that

    T(e_1) = and T(e_2) =

    find a formula for the image of an arbitrary x in R^2. That is, find T(x) for x in R^2.

    5
  5. 9.

    Find the eigenvalues of the matrix

    5
  6. 10.

    Define null space of a matrix A. If

    A = , and v =

    Then show that v is null of A.

    5
  7. 11.

    Verify that 1^k, (-2)^k, 3^k are linearly independent signals.

    5
  8. 12.

    Evaluate the determinant of the matrix

    5
  9. 13.

    Define unit vector. Find a unit vector v of u = (0, -2, 2, -3) in the direction of u.

    5
  10. 14.

    Define group. Show that the set of integers is not a group with respect to subtraction operation.

    5
  11. 15.

    Define ring. Show that set of positive integers with respect to addition and multiplication operation is not a ring.

    5

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