Combination - Mathematics - Exam, Exams of Mathematics

Main points of this past exam are: Combination, Linear Transformation, Null Space, Basis, Range, Uniquely, Subset

Typology: Exams

2012/2013

Uploaded on 03/31/2013

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Math 518 Spring 2002 NAME:
Do 5 of the following 8 problems
1. Given the matrix A=
11 036
22 017
1 1 201
41 306
with reduced echelon form
10 101
0 1 102
00 011
00 000
.
(a) Find a basis of the null space and a basis for the range of the linear transformation
T(v) = Av.
(b) Is the linear transformation Tone-to-one? onto?
2. Let S={v1, v2, ..., vn}be a set of vectors in a vector space V. Show that Sis lin-
early independent if and only if every vector in the span of Scan be represented uniquely as
a linear combination of the elements in S.
3. Let Vbe a vector space, Wa subspace of V, and T L(V , V ). Define the subset
T1(W) = {vV|T(v)W}. Show that T1(W) is a subspace of V.
4. Let P4(R) denote the space of all polynomials in xof degree less than or equal to 4
with coefficients in R. Define the linear map D:P4(R)P4(R) as D(p(x)) = p0(x). Find
all eigenvalues of Dthen choose a basis Bof generalized eigenvectors and find the matrix of D
corresponding to B.
5. Let Vbe a finite dimensional vector space and T L(V, V ). Suppose that range(T) =
range(T2). Prove that V= range(T)null(T).
6. (a) Prove or disprove that the following is a linear transformation:
T:C Cwith T(f) = x·f0.
(b) Find the null space of T.
7. Define S:P4(R)P4(R) as S(p(x)) = p(xa), with aR. Find the matrix of
Swith respect to the standard basis {1, x, x2, x3, x4}.
8. Let Vbe a finite dimensional vector space, T L(V), and vV. Let pdenote the
monic polynomial of smallest degree such that p(T)(v) = 0. Prove that pdivides the minimal
polynomial of T.

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Math 518 Spring 2002 NAME:

Do 5 of the following 8 problems

  1. Given the matrix A =

  

   with reduced echelon form

  

  .

(a) Find a basis of the null space and a basis for the range of the linear transformation T (v) = Av. (b) Is the linear transformation T one-to-one? onto?

  1. Let S = {v 1 , v 2 , ..., vn} be a set of vectors in a vector space V. Show that S is lin- early independent if and only if every vector in the span of S can be represented uniquely as a linear combination of the elements in S.
  2. Let V be a vector space, W a subspace of V , and T ∈ L(V, V ). Define the subset T −^1 (W ) = {v ∈ V | T (v) ∈ W }. Show that T −^1 (W ) is a subspace of V.
  3. Let P 4 (R) denote the space of all polynomials in x of degree less than or equal to 4 with coefficients in R. Define the linear map D : P 4 (R) → P 4 (R) as D(p(x)) = p′(x). Find all eigenvalues of D then choose a basis B of generalized eigenvectors and find the matrix of D corresponding to B.
  4. Let V be a finite dimensional vector space and T ∈ L(V, V ). Suppose that range(T ) = range(T 2 ). Prove that V = range(T ) ⊕ null(T ).
  5. (a) Prove or disprove that the following is a linear transformation: T : C∞^ → C∞^ with T (f ) = x · f ′. (b) Find the null space of T.
  6. Define S : P 4 (R) → P 4 (R) as S(p(x)) = p(x − a), with a ∈ R. Find the matrix of S with respect to the standard basis { 1 , x, x^2 , x^3 , x^4 }.
  7. Let V be a finite dimensional vector space, T ∈ L(V ), and v ∈ V. Let p denote the monic polynomial of smallest degree such that p(T )(v) = 0. Prove that p divides the minimal polynomial of T.