Theme IV: Vector Spaces and Linear Transformations
The due date for this theme is Friday, March 15, at noon
Reading assignment: Section 4.1, 4.2
A vector space, as defined on page 221, is a collection of objects with an
addition and a scalar multiplication that satisfies some standard arithmetic
properties. It is not surprising that

is a vector space; after all, we call the elements of

vectors. On the other hand, it is surprising that the set of all polynomials
is a vector space, mostly because we never think of polynomials (or functions)
as vectors.
Let

be an

matrix. Then,

is defined on the vector space

.
One of the most important subspaces we study in this course is the null
space of

.
What is a subspace of a vector space? What is the null space of a matrix? Let

be the matrix

Find
a spanning set for the null space of

.
Let

be an

matrix
and let

be a non-zero vector in

such that the equation

is consistent. Let

be the set of solutions of

:

Determine whether or not

is a subspace of

and justify your answer.
Suppose that Nul

.
If

is consistent, how many solutions does it have? Explain your answer and give
an example to demonstrate this situation. Be sure to explain why your example
demonstrates the situation
Another important subspace related to a matrix is the column space,
which is a subspace of

.
If

,
then

Let

be the matrix

Find
a linearly independent set of vectors that spans the column space of

.
Suppose that

is a matrix transformation determined by an

matrix

,
so that

for all

.
What does it mean to say that

is an element of the range of

?
If

is in the range of

,
explain why

is in the column space of

.
The concept of a vector space extends to more general settings than Euclidean
spaces,

.
In the following problem you will study vector spaces of functions.
Let

be the set of all functions

that map the interval

into

.
Since the sum of functions is a function and the product of a function and a
scalar is a function, it follows that

is a vector space. We are interested in studying some of the subsets of

.
Let

be a fixed real number and consider the following subsets of

:

Show
that

is a subspace of

while

is not a subspace. Are there any other values

for which

is a subspace of

.
Why or why not?
Suppose we change the definition of

to be

that
is, we evaluate the functions at

instead of

.
Does that change any of your previous answers about

?
Why?