Mathematics II 2069

Tribhuwan University
Institute of Science and Technology
2069
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 do you mean by linearly independent set and linearly dependent set of vectors?

2 marks view
2. Verify that  is an eigen vector of 
2 marks view

3. What do you mean by consistent equations? Give suitable examples.

2 marks view

4. What do you mean by change of basis in Rn?

2 marks view

5. Find the dimension of the vector spanned by (1,1,0) and (0,1,0).

2 marks view

6. When is a linear transformation invertible.

2 marks view

7. Find the rank of AB where 

2 marks view

8. Is  an Eigen value of  ?

2 marks view

9. Define kernel and image of linear transformation.

2 marks view

10. What is meant by Discrete dynamical system? Give suitable example.

2 marks view

Group B (5 x 4 = 20)

11. Let  be the linear transformation defined by T(x, y, z) = (x, y, x - 2y). Find a basis and dimension of (a) Ker T (b) Im T

4 marks view

12. Show that the following vectors are linearly independent:(1, 1, 2),(3, 1, 2),(0, 1, 4).

4 marks view

13. Find the matrix representation of linear transformation defined by T(x, y) = (x + 2y) relative to the standard basis.

4 marks view

14. Is the set of vectors {(91, 0, 1),(0, 1, 0),(-1, 0, 1)} orthogonal? Obtain the corresponding orthonomal set R3.

4 marks view

15. Let the four vertices O(0, 0), A(1, 0), B(0, 1) and C(1, 1) of a unit square be represented by 2 x 4 matrix . Investigate and interpret geometrically the effect of pre-multiplication of this matric by the 2 x 2 matrix:

OR

State and prove orthogonality property for any two non-zero vectors in Rn.

4 marks view

Group C (5 x 8 = 40)

16. Find a matrix A whose inverse is 

8 marks view

17. Test the consistency and solve

x + y + z = 4

x + 2y + 2z = 2

2x + 2y + z = 5

OR

Verify Cayley Hamilton theorem for matrix 

8 marks view

18. The set of matrices of the form 


is a subspace of the vector 3 x 3 matrices. Verify it.

8 marks view

19. Let V and W be the vector spaces over a field F of real numbers. Let dim V = n and dim W = m. Let {e1,e2,... ...,en} be a basis of V and {f1, f2, ... ... ... , fm} be a basis of W. Then, prove that each linear transformation can be represented by an m x n matrix A with elements from F such that 

Y = AX



Are column matrices of coordinates of relative to its basis and coordinates of relative to its basis respectively.

OR

Compute the multiplication partitioned matrices for 


8 marks view

20. Find the equation for the least squares line that best fits the data points(2, 1),(5, 2),(7,3),(8, 3).

8 marks view