LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – MATHEMATICS
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FIFTH SEMESTER – APRIL 2008
MT 5502 – LINEAR ALGEBRA
Date : 03/05/2008 Dept. No. Max. : 100 Marks
Time : 1:00 – 4:00
SECTION – A
Answer ALL the questions. (10 x 2 = 20 marks)
- Illustrate by an example that union of two subspaces need not a subspace of a vector space.
- Give an example of a linearly dependent set of vectors in R2 over R.
- “Every linearly independent set of vectors is a basis.” True or False. Justify.
- Show that kernel of a homomorphism in a vector space is a subspace.
- If V is an inner product space show that where a and b are scalars.
- For T є A(v)define eigen value and eigen vector of T.
- Find the trace of
- Is the following matrix skew symmetric?
- If T є A(v)is a Hermitian show that all its eigen values are real.
- When do you say that a linear transformation T on V is unitary?
SECTION – B
Answer any FIVE questions. (5 x 8 = 40 marks)
- Let V be a vector space of dimension n and be libearly independent vectors in V. Show that there exists n-r new vectors in V such that is a basis of V.
- If V is a vector space of finite dimension that is the direct sum of its subspace U and W show that
- Verify that defined by T(a,b)=(a-b, b-a, -a) for a, b є R is a vector space homomorphism. Find the rank and nullity of T.
- State and prove triangular inequality.
- Show the T є A(V)is invertible if and only if the constant term of the minimal polynomial for T is not zero.
- If V has dimension n andT є A(V), show that the rank of T is equal to the rank of the corresponding matrix m(T) in Fn.
- Check the consistency of the following set of equations.
x1+2x2+x3+11
4x1+6x2+5x3=8
2x1+2x2+3x3=19
- If for all v є V, show that T is unitary.
SECTION – C
Answer any TWO questions. (2 x 20 = 40 marks)
- (a) Find whether the vectors (2, 1, 1, 1), (1, 3, 1, -2) and (1, 2, -1, 3) in R4 are linearly dependent or independent.
(b) If U and V are vector spaces of dimension m and n respectively over F, show that the vector space Hom(U,V) is of dimension mn.
- a) Apply Gram Schmidt orthonormalization process to obtain an orthonormal basis for the subspace of R4 generated by the vectors. (1, 1, 0, 1), (1, -2, 0, 0),
(1, 0, -1, -2).
- b) If are distinct eigen values of T є A(V) and if v1, v2, …, vn are eigen vectors of T belonging respectively, show that v1,v2,…,vn are linearly independent over F.
- a) Let V be a vector space of dimension n over F and let T є A(V). If m1(T) and m2(T) are the matrices of T relative to two bases {v1, v2, …, vn} and {w1,w2,…,wn} of V respectively, show that there is an invertible matrix C in Fn such that m2(T)=Cm1(T)C-1.
- b) Show that any square matrix A can be expressed uniquely as the sum of a symmetric matrix and a skew-symmetric matrix.
- c) If A and B are Hermitian show that AB+BA is Hermitian and AB-BA is skew Hermitian.
- a) Find the rank of
- b) If T є A(V)show that T* є A(V)and show that
(i)
(ii)
(iii) (T)* = T*
(iv) (T*)* = T
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