IFoS PYQs 5
2004
1) Let and be subspaces of for which dim dim and . Show that and .
[10M]
2) Let be the standard basis of and be a linear transformation from into defined by and (where means transpose).
(i) What is ?
(ii) What is the matrix of with respect to the standard bases of and ?
[10M]
3) Find a linear map whose range is generated by and Also find basis and the dimension of the
(i) range of .
(ii) kernel of .
[10M]
4) Find the eigen values and their corresponding eigen vectors of the matrix . Is the matrix diagonalizable?
[10M]
5) For what values of has the system of equations
(ii) infintiely many solutions?
(iii) no solution?
[10M]
6) Determine an orthogonal matrix which reduces the quadratic form
to a canonical form. Also, identify the surface represented by .
[10M]
2003
1) Let be the vector space of polynomial functions on reals of degree at most Let ;
be the differention operator defined by
(i) Show that is a linear transformation
(ii) Find kemel and image of .
(iii) What are dimensions of , ker D and image ?
(iv) Give relation among them of (iii).
[10M]
2) Find the eigen values and the corresponding eigerivectors of .
[10M]
3) Show that the vectors , and form a basis for .
[10M]
4) Determine non-singular matrices and such that the matrix is in canonical form, where
Hence find the rank of .
[10M]
5) Find the minimum polynomial of the matrix.
and use it to determine whether is similar to a diagonal matrix.
[10M]
6) Show that the quadratic form in three variables is positive definite.
[10M]
2002
1) Let be subspaces of a vector space . Show that the following statements are equivalent:
(i) is a direct sum of
(ii) for
(iii)
for
(iv) .
[10M]
2) Given For which values of a does the vecter sequence defined by .
[10M]
3) Show that if is a non-zero eigen value of the non-singular -square matrix , then is an eigen value of .
Also given an example to prove that the eigen values of are not necessarily the product of cigen values of and that of .
[10M]
4) Given the liner transformation show that it is singular and the images of the linearly independent vectors
are linearly depchdent.
[10M]
5.(i) Calculate for
[5M]
TBC
5.(ii) The matrix A satisfies A^{4}=-1.6 A^{2}-0.641. Show that exists and determine this limit.
[5M]
6) Reduce to normal form and compute the matrices and such that
[10M]
2001
1) Let be the vector space of polynomials in with real coefficients of degree almost Let be any 3 distinct real numbers. Define by . Show that
(i) are linear functional on .
(ii) is a basis for the dual space of .
[10M]
2) In the notation of (a) above, find a basis for which is dual to and also express each in terms of elements of .
[10M]
3) Let be the vector space of polynomials in with complex coefficients. Define by and
by .
(i) Find ker
(ii) Show that is linear
(iii) Show that and Identity on .
[10M]
TBC
4) Let . Show that for every interger and hence find the matrix .
[10M]
5) Find the characteristic and minimal polynomials of and determine whether is diagonalisable.
[10M]
6) Let Find an invertible matrix such that is diagonal matrix. Find also.
[10M]
2000
1) Let be the vector space of complex numbers over the field of real numbers. Under what conditions of the real numbers in the set
do we have ,
where denotes the linear spans of ? Justify your answer.
[10M]
2) Let
be linear transformations on (IR), the vector space of all polynomials in an indeterminate with real coefficients.
Show that
(i) the identity operator
(ii)
[10M]
3) Find when by using Cayley-Hamilton theorem.
[10M]
4) Show that every square matrix can be expressed uniquely as where , are Hermitian.
[10M]
56) Reduce the quadratic form to canonical form and find its rank and signature.
[10M]