



Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Practice Midterm 2. UCLA: Math 115A, Fall 2017. Instructor: Jens Eberhardt. Date: 08 October 2017. • This exam has 4 questions, for a total of 23 points.
Typology: Slides
1 / 7
This page cannot be seen from the preview
Don't miss anything!




Instructor: Jens Eberhardt Date: 08 October 2017
Name:
ID number:
Question Points Score 1 7
2 5 3 5 4 6
Total: 23
Solution: (a) Let a 1 ,... , ar ∈ F such that
a 1 T (v 1 ) + · · · + a 2 T (v 2 ) = 0.
We have to show a 1 = · · · = ar = 0. Since T is linear, we get
T (a 1 v 1 + · · · + a 2 v 2 ) = 0.
Since T is one-to-one, N(T) = { 0 }, hence
a 1 v 1 + · · · + a 2 v 2 = 0.
Since v 1... , vr ∈ V are linearly independent, we get a 1 = · · · = ar = 0. Hence T (v 1 ),... , T (vr ) is linearly independent.
(b) By the rank-nullity formula
dim(V ) = rank(T ) + nullity(T ).
Since R(T ) is a subspace of W , we know
rank(T ) = dim(R(T )) ≤ dim(W ).
Furthermore, since T is one-to-one
nullity(T ) = dim(N(T )) = 0.
Putting all equations together, we get
dim(V ) = rank(T ) ≤ dim(W ).
(c) As in the last part, we get dim(V ) = rank(T ) ≤ dim(W ). By assumption we have dim(V ) = dim(W ). Hence
dim(R(T )) = rank(T ) = dim(W ).
Since R(T ) is a subspace of W , it follows that R(T ) = W , which means that T is onto.
(d) Consider the map T : R^2 → R^3 , T (x, y) = (x, y, 0). Then T is clearly one-to-one. But (0, 0 , 1) is not in R(T ), hence T is not onto.
Z = {T : V → W | T linear and T (v) = 0}
is a subspace of L(V, W ) = {T : V → W | T linear}.
Solution: (a) Let v, w ∈ V and c ∈ F. Then
(T + U )(cv + w) = T (cv + w) + U (cv + w) = cT (v) + T (w) + cU (v) + U (w) = c(T (v) + U (v)) + (T (w) + T (w)) = c(T + U )(v) + (T + U )(w),
where we used the linearity of T and U in the second equation. Hence T + U is linear.
(b) We know that [−]γβ is linear. Hence
[aT + U ]γβ = a[T ]γβ + [U ]γβ.
(c) Let T 0 : V → W, T 0 (v) = 0. This is the zero element of L(V, W ). Clearly T 0 (v) = 0. Hence T 0 ∈ Z. Now let T, U ∈ Z and a ∈ F , then
(aT + U )(v) = aT (v) + U (v) = a0 + 0 = 0.
Hence also aT + U ∈ Z and Z is a subspace.
β = { 1 , x, x^2 , x^3 }
γ =
w 1 =
, w 2 =
, w 3 =
, w 4 =
be the standard ordered bases. Consider the linear map T : V → defined by
T (ax^3 + bx^2 + cx^1 + d) =
a + b c + d a + c b + c
(a) (2 points) Determine A = [T ]γβ. (b) (3 points) Prove that T is an isomorphism. (c) (1 point) Prove that V and W are isomorphic without using T.
Solution: (a) We have to express T (1),... , T (x^3 ) in the basis γ.
= w 2
T (x) =
= w 2 + w 3 + w 4
T (x^2 ) =
= w 1 + w 4
T (x^3 ) =
= w 1 + w 3
Hence
A = [T ]γβ =
(b) We know that T is an isomorphism if and only of A is invertible. To show that A is invertible, we compute its determinant by evaluating along the first column. So det(A) = − det(B) where
We compute det B = 2 with our favorite technique. Hence det(A) = − 2 6 = 0. Hence A is invertible and T is an isomorphism.
(c) This follows from dim V = 4 = dim W.
This page has been left intentionally blank. You may use it as scratch paper. It will not be graded unless indicated very clearly here and next to the relevant question.