Mathematics II 2074

Tribhuwan University
Institute of Science and Technology
2074
Bachelor Level / Second Semester / Science
Computer Science and Information Technology ( MTH163 )
( Mathematics II )
Full Marks: 80
Pass Marks: 32
Time: 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.

Attempt all questions: 

Group A (10 x 2 = 20)

1. What are the criteria for a rectangular matrix to be in echelon form?

2 marks view

2. prove that (a) (AT)T = A  (b) (A + B)T = AT + BT , Where A and B denote matrices whose size are appropriate for the above mentioned operations.

2 marks view
3. Define square matrix. Can a square matrix with two identical columns be invertible? Why or why not?
2 marks view

4. Let A and B be two square matrices. By taking suitable examples, show that even though AB and BA may not be equal, it is always true that detAB = detBA.

2 marks view

5. Using Cramer's rule solve the following simultaneous equations:

5x + 7y = 3

2x + 4y = 1

2 marks view

6. Define vector space with suitable examples.

2 marks view

7. Let W be the set of all vectors of the form , where b and c are arbitrary. Find vector u and v such that W = Span {u, v}.

2 marks view

8. What are necessary and sufficient conditions for a matrix to be invertible?

2 marks view

9. Determine whether the pair of vectors are orthogonal or not?

2 marks view

10. What do you understand by least square line? Illustrate.

2 marks view

Group B (5 x 4 = 20)

11. What are the criteria for a transformation T to be linear? If is defined by T(x) = 3x,

Show that T is a linear transformation. Also give a geometric description of the transformation



4 marks view

12. Prove that if A is an invertible matrix, then so is AT, and the inverse of AT is the transpose of A-1.

4 marks view

13. Define subspace of a vector space V. Given v1 and v2 in a vector space V, let H = span {v1, v2}. Show that H is a subspace of V.

OR

If  is a basis for a vector space V and x is in V, define the coordinate of x relative to the basis  . Let Then is a basis for H = Span {v1, v2}. Determine is X is in H, and if it is, find the coordinate vector of x relative to 

4 marks view

14. The mapping  defined by T(a0 + a1t + a2t2) = a1 + 2a2t is a linear transformation.

a) Find the matrix for T, when is the basis {1, t, t2}.

b) Verify that [T(p)]B = [T]B[p]B for each p in P2.

4 marks view

15. Let  Find a least square solution of Ax = b, and compute the associated least square error.

4 marks view

Group C (5 x 8 = 40)

16. Let  be a linear transformation and let A be the standard matrix for T. Then prove that: T map Rn on to Rm if and only if the columns of A span Rm; and T is one-to-one if and only if the columns of A are linearly independent. Let T(x1, x2) = (3x1 + x2, 5x1 + 7x2, x1 + 3x2). Show that T is a one-to-one linear transformation. Does T map R2 onto R3?

8 marks view

17. Compute the multiplication of partitioned matrices for


8 marks view

18. Let be a basis for a vector space V. Then the coordinate mapping is one-to-one linear transformation from V into Rn. Let 

a) Show that the set  is a basis of R3.

b) Find the change of coordinates matrix for to the standard basis.

c)  Write the equation that relates x in R3 to . 

d) Find for the x give above.

8 marks view

19. Diagonalize the matrix if possible.

OR

Suppose A = PDP-1, where D is a diagonal n x n matrix. If  is the basis for Rn formed for the columns of P, then prove that D is the matrix for the transformation. Define , where Find a basis for R2 with the property that the matrix for T is a diagonal matrix.

8 marks view

20. What is a least squares solution? Find a least squares solution of Ax = b, where 

OR

What do you understand by orthonormal set? Show that {v1, v2, v3} is an  orthonormal basis of R3, where


Prove that an m x n matrix U has orthonormal columns if and only if UTU = 1.

8 marks view