Part 1: Basic properties of linear transformations
If a linear transformation is given by for some , then:
the domain of is
choose
R^k
R^n
,
the codomain of is
choose
R^k
R^n
,
the kernel of is equal to the
choose
column space
null space
row space
subspace
of , and
the image of is equal to the
choose
column space
null space
row space
subspace
of .
Part 2: Show you know definitions
Suppose . Write .
A vector is in the null space of if (select all that apply):
A.
.
B.
has no rows of the form .
C.
The dot product of with every row vector from is .
D.
E.
for some .
F.
for some .
G.
.
A vector is in the column space of if (select all that apply):
A.
has no rows of the form .
B.
.
C.
for some .
D.
.
E.
F.
The dot product of with every row vector from is .
G.
for some .
Part 3: Apply your knowledge of definitions
Suppose is the function defined by , where
The domain of is
. For instance, enter R^5 for .
The codomain of is
. For instance, enter R^5 for .
Select all of the vectors that are in the kernel of . You should be able to justify your answers (there may be more than one correct answer).
A.
B.
C.
D.
E.
F.
Select all of the vectors that are in the image of . You should be able to justify your answers (there may be more than one correct answer).
A.
B.
C.
D.
E.
F.
You can earn partial credit on this problem.