06.09.2021 Views

Linear Algebra, 2020a

Linear Algebra, 2020a

Linear Algebra, 2020a

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Section III. Computing <strong>Linear</strong> Maps 229<br />

(b) The second member?<br />

(c) Where is a general vector from the domain (a vector with components x and<br />

y) mapped? That is, what transformation of R 2 is represented with respect to<br />

B, D by this matrix?<br />

2.17 Consider a homomorphism h: R 2 → R 2 represented with respect to the standard<br />

bases E 2 , E 2 by this matrix.<br />

Find the<br />

(<br />

image under<br />

(<br />

h of each<br />

(<br />

vector.<br />

)<br />

2 0 −1<br />

(a) (b) (c)<br />

3)<br />

1)<br />

1<br />

( ) 1 3<br />

2 4<br />

2.18 What transformation of F = {a cos θ + b sin θ | a, b ∈ R} is represented with<br />

respect to B = 〈cos θ − sin θ, sin θ〉 and D = 〈cos θ + sin θ, cos θ〉 by this matrix?<br />

( ) 0 0<br />

1 0<br />

̌ 2.19 Decide whether 1 + 2x is in the range of the map from R 3 to P 2 represented<br />

with respect to E 3 and 〈1, 1 + x 2 ,x〉 by this matrix.<br />

⎛ ⎞<br />

1 3 0<br />

⎝0 1 0⎠<br />

1 0 1<br />

2.20 Find the map that this matrix represents with respect to B, B.<br />

( ) ( ( 2 1<br />

1 1<br />

B = 〈 , 〉<br />

−1 0<br />

0)<br />

1)<br />

2.21 Example 2.11 gives a matrix that is singular and is therefore associated with<br />

maps that are singular. We cannot state the action of the associated map g on<br />

domain elements ⃗v ∈ V, because do not know the domain V or codomain W or<br />

the starting and ending bases B and D. But we can compute what happens to the<br />

representations Rep B,D (⃗v).<br />

(a) Find the set of column vectors representing the members of the null space of<br />

any map g represented by this matrix.<br />

(b) Find the nullity of any such map g.<br />

(c) Find the set of column vectors representing the members of the range space<br />

of any map g represented by the matrix.<br />

(d) Find the rank of any such map g.<br />

(e) Check that rank plus nullity equals the dimension of the domain.<br />

̌ 2.22 Take each matrix to represent h: R m → R n with respect to the standard bases.<br />

For each (i) state m and n. Then set up an augmented matrix with the given<br />

matrix on the left and a vector representing a range space element on the right<br />

(e.g., if the codomain is R 3 then in the right-hand column put the three entries a,<br />

b, and c). Perform Gauss-Jordan reduction. Use that to (ii) find R(h) and rank(h)<br />

(and state whether the underlying map is onto), and (iii) find N (h) and nullity(h)<br />

(and state whether the underlying map is one-to-one).<br />

( ) 2 1<br />

(a)<br />

−1 3

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!