Linear Algebra: Linear transformation and Isomorphism

In summary, a linear transformation is a mathematical operation that maps vectors from one vector space to another while preserving certain properties. It can be represented by a matrix and an isomorphism is a bijective linear transformation between two vector spaces. To determine if two vector spaces are isomorphic, we check for a one-to-one and onto linear transformation and matching dimensions. Linear transformations and isomorphisms are important in understanding relationships between vector spaces and solving equations in linear algebra.
  • #1
MathNoob22
7
0

Homework Statement


Let T: V [tex]\rightarrow[/tex] Z be a linear transformation of a vector space V onto a vector space Z. Define the mapping

[tex]\bar{T}[/tex]: V/N(T) [tex]\rightarrow[/tex] Z by [tex]\bar{T}[/tex](v + N(T)) = T(v)

for any coset v+N(T) in V/N(T).

a) Prove that [tex]\bar{T}[/tex] is well-defined; that is, prove that if v+N(T)=v'+N(T), then T(v)=T(v').

b) Prove that [tex]\bar{T}[/tex] is linear.

c) Prove that [tex]\bar{T}[/tex] is an isomorphism.


Homework Equations


Proving part (a) will prove that the transformation is a one-to-one transformation. This is important for part (c).

In order to prove part (b), use the fact that for T: V[tex]\rightarrow[/tex]W, T is linear if and only if T(cx + y) = cT(x)+T(y) for all x,y [tex]\in[/tex] V and c [tex]\in[/tex] F.

To prove that a transformation is an isomorphism, part (c), there must exist a linear transformation [tex]\bar{T}[/tex] that is invertible ([tex]\bar{T}[/tex][tex]^{-1}[/tex]). [tex]\bar{T}[/tex][tex]^{-1}[/tex] exists iff [tex]\bar{T}[/tex] is one-to-one and onto.


The Attempt at a Solution


(a) If v+N(T) = v'+N(T), then v+N(T)-N(T) = v'+N(T)-N(T). Thus v = v'. The vectors v and v' are the same without the nullspace of T.
If v=v', then T(v) = T(v'). This also means it is one-to-one.

I'm not sure if what I have is a valid proof for part (a). The part that I'm not certain about is if I am actually able to subtract the nullspace of T from both sides.

(b) If [tex]\bar{T}[/tex] = T(v), let cx+y = v+N(T). Then [tex]\bar{T}[/tex](cx+y) = T(cx+y-N(T)) = cT(x)+T(y)-T(N(T)). This is the first part of the proof.

I am having trouble with the next part of the proof. I have to prove that c[tex]\bar{T}[/tex](x) + [tex]\bar{T}[/tex](y) = cT(x)+T(y)-T(N(T)) (the right hand side is from the first part of the proof), but I'm not sure how to plug x and y into [tex]\bar{T}[/tex].

(c) A transformation is an isomorphism if it is one-to-one and onto.
To prove one-to-one: Since v+N(T)=v'+N(T), then v=v'. If v=v', then T(v)=T(v'). T(v)=T(v') implies that v=v', this is the definition of one-to-one.

I'm having trouble proving that [tex]\bar{T}[/tex] is onto. From the question, we know that T is a linear transformation that is onto, but how do I relate it to [tex]\bar{T}[/tex]?

Any and all help is much appreciated!
 
Physics news on Phys.org
  • #2
Your part a is incorrect. You can't take away N(T) from both sides, its a set. You could have that v+n=v'+m for m not equal to n.

For b) you really only need to show that [itex]\overline{T}(cx+ky+N(T))=c\overline{T}(x+N(T))+k\overline{T}(y+N(T))[/itex] which uses the linearity of T.

c) you are making the same mistake again. Plus to show its injective you need to take [itex]\overline{T}(x+N(T))=\overline{T}(y+N(T))[/itex] and show that [itex]x+N(T)=y+N(T)[/itex].

I hope some of that made sense. Been a long day.
 
  • #3
MathNoob22 said:

The Attempt at a Solution


(a) If v+N(T) = v'+N(T), then v+N(T)-N(T) = v'+N(T)-N(T). Thus v = v'. The vectors v and v' are the same without the nullspace of T.

N(T)-N(T) is not 0, it is N(T), check the definition of the quotient vector space. It is in general not true that v=v', but you can still conclude that T(v)=T(v') by using the definition of N(T).

If v=v', then T(v) = T(v'). This also means it is one-to-one.

No, one-to-one means that if T(v)=T(v') then v=v', it is the other way around. Besides, if T were 1-to-1, then N(T) would contain only the 0 vector.

I'm not sure if what I have is a valid proof for part (a). The part that I'm not certain about is if I am actually able to subtract the nullspace of T from both sides.

(b) If [tex]\bar{T}[/tex] = T(v), let cx+y = v+N(T). Then [tex]\bar{T}[/tex](cx+y) = T(cx+y-N(T)) = cT(x)+T(y)-T(N(T)). This is the first part of the proof.

I am having trouble with the next part of the proof. I have to prove that c[tex]\bar{T}[/tex](x) + [tex]\bar{T}[/tex](y) = cT(x)+T(y)-T(N(T)) (the right hand side is from the first part of the proof), but I'm not sure how to plug x and y into [tex]\bar{T}[/tex].

You have to show that [tex]\bar{T}[/tex](cx+y+N(T))=c[tex]\bar{T}[/tex](x+N(T))+[tex]\bar{T}[/tex](y+N(T)). Remember that you should only apply [tex]\bar{T}[/tex] to cosets, not the original vectors. To prove this part, use that [tex]\bar{T}[/tex](v+N(T))=T(v) for any v and linearity of T.

(c) A transformation is an isomorphism if it is one-to-one and onto.
To prove one-to-one: Since v+N(T)=v'+N(T), then v=v'. If v=v', then T(v)=T(v'). T(v)=T(v') implies that v=v', this is the definition of one-to-one.

You cannot conclude that v=v', same reason as above.

I'm having trouble proving that [tex]\bar{T}[/tex] is onto. From the question, we know that T is a linear transformation that is onto, but how do I relate it to [tex]\bar{T}[/tex]?

Any and all help is much appreciated!

That T is onto implies that for any v in Z you can find a w in V with T(w)=v. Now you want to find a coset u+N(T) such that [tex]\bar{T}[/tex](u+N(T))=v. What would be a good choice for u?
 
  • #4
Hello again. Thanks for all the help and advice. This is the new proof I have now.

a) Prove that [tex]\bar{T}[/tex] is well defined; that is prove that if v+N(T)=v'+N(T), then T(v)=T(v').

By definition, N(T) is the set of all vectors x in V such that T(x)=0.
If v+N(T)=v'+N(T), both cosets have vectors v and v' added to the same Nullspace of T.
v+N(T) = v'+N(T)
[tex]\bar{T}[/tex](v+N(T)) = [tex]\bar{T}[/tex](v'+N(T))
T(v)= T(v')

Is this enough for the first proof? I took the [tex]\bar{T}[/tex] transformation of both v+N(T) and v'+N(T). Since they were equal, the [tex]\bar{T}[/tex] transformation should also be equal.

b) Prove that [tex]\bar{T}[/tex] is linear.

[tex]\bar{T}[/tex](cx+y+N(T)) = [tex]\bar{T}[/tex](cx+N(T)) + [tex]\bar{T}[/tex](y+N(T))
[tex]\bar{T}[/tex](cx+y+N(T))
= T(cx+y)
= T(cx) + T(y)
= cT(x) + T(y)

[tex]\bar{T}[/tex](cx+N(T)) + [tex]\bar{T}[/tex](y+N(T))
= T(cx) + T(y)
= cT(x) + T(y)
cT(x) + T(y) = cT(x) + T(y)

I think my work for part (b) is enough to prove that [tex]\bar{T}[/tex] is linear. Is there anything else I need?

c) Prove that [tex]\bar{T}[/tex] is an isomorphism.

[tex]\bar{T}[/tex] is an isomorphism iff [tex]\bar{T}[/tex] is one-to-one and onto.
One-to-One: Let T(x)=T(y) for any x,y [tex]\in[/tex] V.
[tex]\bar{T}[/tex](x+N(T)) = [tex]\bar{T}[/tex](y+N(T))
If the transformation of the coset of x+N(T) is equal to the transformation of the coset of y+N(T), the coset x+N(T) must be equal to the coset of y+N(T). As stated in part (a), N(T) is the same in both cosets (because the Nullspace does not change). So, x=y. If T(x)=T(y) implies x=y, then [tex]\bar{T}[/tex] must be one-to-one.

Onto: Let [tex]\bar{T}[/tex](x+N(T)) = T(x) for any x [tex]\in[/tex] V/N(T).
[tex]\bar{T}[/tex] is onto if there exists a vector y in Z such that T(x) = y for any y [tex]\in[/tex] Z.
So, [tex]\bar{T}[/tex](u+N(T)) = T(u) = y
y = T(x)
Then, T(u) = T(x)
[tex]\bar{T}[/tex](u + N(T)) = [tex]\bar{T}[/tex](x + N(T))
u = x
Therefore, for any vector y [tex]\in[/tex] Z, there exists a vector x [tex]\in[/tex] V; this means it is onto.

Since it is both one-to-one and onto, [tex]\bar{T}[/tex] is an isomorphism.

I'm not sure if the proof I've given is correct or if it is adequate enough. That is my biggest worry that I do not provide enough work.
 

1. What is a linear transformation?

A linear transformation is a mathematical operation that maps each vector in one vector space to a vector in another vector space, while preserving certain properties such as linearity and origin preservation.

2. How is a linear transformation represented?

A linear transformation can be represented by a matrix, where the columns of the matrix represent the transformed basis vectors of the input space.

3. What is an isomorphism?

An isomorphism is a bijective linear transformation between two vector spaces, meaning that it is both a one-to-one and onto mapping.

4. How do you determine if two vector spaces are isomorphic?

To determine if two vector spaces are isomorphic, we can check if there exists a linear transformation between them that is both one-to-one and onto. Additionally, the dimension of the two vector spaces must be the same.

5. What is the significance of linear transformations and isomorphisms in linear algebra?

Linear transformations and isomorphisms are important concepts in linear algebra because they allow us to understand the relationship between different vector spaces and how they can be transformed and mapped onto each other. They also play a crucial role in solving systems of linear equations and understanding matrix operations.

Similar threads

  • Calculus and Beyond Homework Help
Replies
1
Views
609
  • Calculus and Beyond Homework Help
Replies
24
Views
798
  • Calculus and Beyond Homework Help
Replies
7
Views
412
  • Calculus and Beyond Homework Help
Replies
1
Views
459
  • Calculus and Beyond Homework Help
Replies
5
Views
526
  • Calculus and Beyond Homework Help
Replies
3
Views
571
  • Calculus and Beyond Homework Help
Replies
8
Views
622
  • Calculus and Beyond Homework Help
Replies
11
Views
1K
  • Calculus and Beyond Homework Help
Replies
9
Views
1K
  • Advanced Physics Homework Help
Replies
6
Views
305
Back
Top