MATH 110 Mock Midterm: Vector Spaces, Linear Transformations, and Linear Independence, Exams of Linear Algebra

A mock midterm test for math 110, covering topics such as vector spaces, linear transformations, and linear independence. Students are required to show all work and justify answers to obtain full credit. Questions include determining if certain subsets of polynomials form a subspace, evaluating matrix products, finding representations and dual bases, proving properties of linear transformations, and solving systems of linear equations.

Typology: Exams

Pre 2010

Uploaded on 10/01/2009

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MATH 110, mock midterm test.
Name
Student ID #
All the necessary work to justify an answer and all the necessary steps of a proof must be
shown clearly to obtain full credit. Partial credit may be given but only for significant
progress towards a solution. Show all relevant work in logical sequence and indicate all
answers clearly. Cross out all work you do not wish considered. Books and notes are allowed.
Calculators, computers, cell phones, pagers and similar devices are not allowed during the
test.
1. Consider the vector space P(IR) and the subsets Vconsisting of those vectors (polyno-
mials) ffor which:
(a) fhas degree 3,
(b) 2f(0) = f(1),
(c) f(t)0 whenever t0,
(d) f(t) = f(1 t) for all t.
In which of these cases is Va subspace of P(IR)?
2.
Let A=0 2 3
1 3 2, B =
2 0
6 4
4 6
, v =123, w =
0
1
2
.
Do the products Aw,Btvt,vAw exist? Evaluate those that do. Is the set {A, B t}linearly
independent?
3.
Let A=0 2
22, β ={1
1,1
1}.
Find the representation [LA]β, the dual basis β, and the matrix [(LA)t]β.
4. Let
A:Pn(IR) Pn(IR) : (Af )(t) := f(t+ 1).
Prove that
A=I+D
1! +D2
2! +· · · +Dn
n!,
1
pf2

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MATH 110, mock midterm test.

Name Student ID #

All the necessary work to justify an answer and all the necessary steps of a proof must be shown clearly to obtain full credit. Partial credit may be given but only for significant progress towards a solution. Show all relevant work in logical sequence and indicate all answers clearly. Cross out all work you do not wish considered. Books and notes are allowed. Calculators, computers, cell phones, pagers and similar devices are not allowed during the test.

  1. Consider the vector space P (IR) and the subsets V consisting of those vectors (polyno- mials) f for which:

(a) f has degree 3, (b) 2 f (0) = f (1), (c) f (t) ≥ 0 whenever t ≥ 0, (d) f (t) = f (1 − t) for all t.

In which of these cases is V a subspace of P (IR)?

Let A =

[

]

, B =

 (^) , v =

[

]

, w =

Do the products Aw, Btvt, vAw exist? Evaluate those that do. Is the set {A, Bt} linearly independent?

Let A =

[

]

, β = {

[

]

[

]

Find the representation [LA]β , the dual basis β∗, and the matrix [(LA)t]β∗^.

  1. Let A : Pn(IR) → Pn(IR) : (Af )(t) := f (t + 1).

Prove that

A = I +

D

D^2

Dn n!

1

where D is the differentiation operator on Pn(IR).

  1. Let m < n and let f 1 ,.. ., fm be linear functionals on an n-dimensional space V. Prove that there exists a nonzero vector x ∈ V such that fj x = 0 for all j = 1,... , m. What does this result say about solutions of linear equations?
  2. Reduce the matrix (^) 

to its reduced row echelon form. Show all steps.

2