LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
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M.Sc. DEGREE EXAMINATION – MATHEMATICS
FIRST SEMESTER – APRIL 2008
MT 1804 – LINEAR ALGEBRA
Date : 28/04/2008 Dept. No. Max. : 100 Marks
Time : 1:00 – 4:00
Answer ALL Questions.
- a) i) Let T be the linear operator on which is represented in the standard ordered
basis by the matrix . Find a basis of, each vector of which is a
characteristic vector of T.
Or
- ii) Let T be a linear operator on a finite dimensional vector space V. Let
be the distinct characteristic values of T and let be the null space of
(T-I). If W=then prove that
dim W=. (5)
- b) i) State and prove Cayley-Hamilton theorem
Or
- ii) Let V be a finite dimensional vector space over F and T be a linear operator on V
then prove that T is triangulable if and only if the minimal polynomial for T is a
product of linear polynomials over F. (15)
- a) i) Let V be a finite dimensional vector space. Let be subspaces of V
let Then prove that the following are equivalent :
1) are independent.
2) For each j,,= {0}
Or
iii) Let T be a linear operator on a finite dimensional vector space V and let
are linear operators on V such that 1) each is a projection
2) 3) and let is the range of. If each
is invariant under T then prove that T=T, i=1,2,..k. (5)
- b) i) Let T be a linear operator on a finite dimensional vector space V. Suppose that
the minimal polynomial for T decomposes over F into a product of linear
polynomials. Then prove that there is a diagonalizable operator D on V and
nilpotent operator N on V such that 1) T= D+ N
2) DN=ND
Or
- ii) Let T be a linear operator on a finite dimensional vector space V. Then
prove that T has a cyclic vector if only if the minimal and characteristic
polynomial for T are identical. (15)
III. a) i) Let T be a linear operator on which is represented in standard ordered basis
by the matrix . Prove that T has no cyclic vector. What is the
T-cyclic subspace generated by the vector (1,-1,3)?
Or
- ii) If U is a linear operator on the finite dimensional vector space W and if U has a
cyclic vector then prove that there is an ordered basis for W in which U is
represented by the companion matrix of the minimal polynomial for U. (5)
- b) i) State and prove Cyclic Decomposition theorem.
Or
- ii) If T is a nilpotent operator on a vector space V of dimension n then prove that
characteristic polynomial for T is (15)
- a) i) Let V be a finite dimensional complex inner product space and f a form on V.
Then prove that there is an orthonormal basis for V in which the matrix of f is
upper-triangular.
Or
- ii) Let T be a linear operator on a complex finite dimensional inner product space
- Then prove that T is self-adjoint if and only if is real for every in V. (5)
- b) i) Let f be the form on defined by f=.Find the
matrix of f with respect to the basis {(1,-1),(1,1)}.
- ii) State and prove the spectral theorem. (6+9)
Or
iii) Let f be a form on a real or complex vector space V and a basis
for the finite dimensional subspace W of V. Let M be the rxr matrix with
entries and W the set of all vectors in V such that
f ()=0 for all W. Then prove that W is a subspace of V and
={0} if and only if M is invertible and when this is the case V=W+W.
(15)
- a) i) Let F be a field. Find all bilinear forms on the space .
Or
- ii) State and prove polarization identity for symmetric bilinear form f. (5)
- b) i) Let V be a finite dimensional vector space over the field of complex numbers.
Let f be a symmetric bilinear form on V which has rank r. Then prove that there
is an ordered basis for V such that the matrix of f in the
ordered basis B is diagonal and f () =
Or
- ii) If f is a non-zero skew-symmetric bilinear form on a finite dimensional vector
space V then prove that there exist a finite sequence of pairs of
vectors,with the following properties:
1) f ()=1, j=1,2,,…,k.
2) f ()=f ()=f ()=0, ij.
3) If is the two dimensional subspace spanned by and , then
V=where is orthogonal to all and and the restriction
of f to is the zero form. (15)
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