Linear Algebra: Linear Transformation and Linear Independence

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Homework Help Overview

The discussion revolves around a proof in linear algebra concerning linear transformations and linear independence. The original poster seeks to prove that if \( S = \{v_1, v_2, \ldots, v_k\} \) is chosen such that \( T(v_i) = w_i \) for a linearly independent set \( \{w_1, w_2, \ldots, w_k\} \) in the range of the linear transformation \( T: V \to W \), then \( S \) must also be linearly independent.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss various attempts to establish the linear independence of set \( S \), including using properties of linear transformations and exploring proof by contradiction. Some express uncertainty about their methods and seek clarification on the implications of linear independence and dependence.

Discussion Status

Several participants have provided insights and attempted proofs, with some suggesting indirect proof techniques. There is an ongoing exploration of the implications of linear independence in the context of the transformation \( T \) and its relationship to the sets involved. While some participants express confidence in their reasoning, others question the necessity of certain approaches.

Contextual Notes

Participants note the challenge of connecting various theorems and definitions to the problem at hand. There is also mention of the potential for misunderstanding the properties of linear transformations, particularly regarding the kernel and the implications of linear dependence.

b0it0i
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Homework Statement


Let V and W be vector spaces, Let T: V --> W be linear, and let {w1, w2,..., wk} be linearly independent subset of R(T). Prove that if S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k, then S is linearly independent

Homework Equations


The Attempt at a Solution


I have no idea where to start with this proof, I've been looking over past theorems to gather information, but I'm not sure how to connect them to show that

S is linearly independent. Can anyone give a hint or suggestion

Attempt 1:

Since T is linear, we know that
T(x + y) = T(x) + T(y)
T(ax) = aT(x)

Since

{w1, w2,..., wk} is linearly independent subset of R(T)

aw1 + bw2 + ... + cwk = 0
a = b = c = 0T(v1 +...+ vk) = T(v1) +...+ T(vk) = w1 +...+ wk (and since linearly independent)
0w1 +...+ 0wk = 0,

so then i worked backwards

0 = 0w1 +...+ 0wk = 0T(v1) +...+ 0T(vk) = 0T(v1 +...+ vk) = T(0v1 +...+ 0vk)

and hence 0v1 + ...+ 0vk = 0

therefore S = {v1,v2,...vk} is linearly independent?
Attempt 2:

since R(T) is a subspace of W
and {w1, w2,..., wk} is a subset of R(T)
then span{w1, w2,..., wk} is a subset of R(T)

I was hoping to show that S is a basis, and hence S is linearly independent
but i couldn't get to thatT(vi) = wi

does that mean each vector, wi, can be written as a unique linear combination of vi

and hence vi is a basis? thus S is linearly independent?

i don't think my methods are correct

any suggestions would be helpful, thanks a lot
NEW ATTEMPT:

Alrite, I think I got it

but when you said use an

"Indirect Proof", I used proof by contradiction and obtained thisProblem:
Let V and W be vector spaces, Let T: V --> W be linear, and let {w1, w2,..., wk} be linearly independent subset of R(T). Prove that if S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k, then S is linearly independent

S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k --> S is linearly independent

I assumed the negation

S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k and S is Linearly Dependent

Since S is linearly dependent

a1v1 + a2v2 + ... akvk = 0
such that there exists a nonzero coefficient

then as you suggested, by taking T of both sides

T(a1v1 + a2v2 + ... akvk) = T(0)

and since T is linear

a1 T(v1) + ... + ak T(vk) = 0 [since T(0)=0 ]

then our other assumption, T(vi)=wi

implies that

a1w1 +...+ akwk = 0

Since there existed a nonzero coefficient,
that implies that

{w1, w2, ... , wk} is Linearly DEPENDENT

which contradicts the statement that {w1, w2, ... , wk} is Linearly Independent

thus the original statement is true

is this correct?
 
Last edited:
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b0it0i said:

Homework Statement


Let V and W be vector spaces, Let T: V --> W be linear, and let {w1, w2,..., wk} be linearly independent subset of R(T). Prove that if S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k, then S is linearly independent


Homework Equations





The Attempt at a Solution


I have no idea where to start with this proof, I've been looking over past theorems to gather information, but I'm not sure how to connect them to show that

S is linearly independent. Can anyone give a hint or suggestion

Attempt 1:

Since T is linear, we know that
T(x + y) = T(x) + T(y)
T(ax) = aT(x)

Since

{w1, w2,..., wk} is linearly independent subset of R(T)

aw1 + bw2 + ... + cwk = 0
a = b = c = 0


T(v1 +...+ vk) = T(v1) +...+ T(vk) = w1 +...+ wk (and since linearly independent)
0w1 +...+ 0wk = 0,

so then i worked backwards

0 = 0w1 +...+ 0wk = 0T(v1) +...+ 0T(vk) = 0T(v1 +...+ vk) = T(0v1 +...+ 0vk)

and hence 0v1 + ...+ 0vk = 0

therefore S = {v1,v2,...vk} is linearly independent?
No, you have shown that 0v1+ 0v2+ ...+ 0vk= 0 but we knew that anyway!
Try an "indirect proof". If v1, v2, ..., vk are NOT independent then there exist
a1, a2,..., ak, NOT all 0, such that a1v1+ a2v2+ ...+ akvk= 0. What happens if you take T of both sides of that?


Attempt 2:

since R(T) is a subspace of W
and {w1, w2,..., wk} is a subset of R(T)
then span{w1, w2,..., wk} is a subset of R(T)

I was hoping to show that S is a basis, and hence S is linearly independent
but i couldn't get to that


T(vi) = wi

does that mean each vector, wi, can be written as a unique linear combination of vi
No, it doesn't. wi may not even be in vector space V.

and hence vi is a basis? thus S is linearly independent?

i don't think my methods are correct

any suggestions would be helpful, thanks a lot
There is nothing in here to suggest that either {w1, w2,..., wk} or {w1, w2,...,wk} is a basis only that they are independent. Try the way I suggested.
 
Alrite, I think I got it

but when you said use an

"Indirect Proof", I used proof by contradiction and obtained thisProblem:
Let V and W be vector spaces, Let T: V --> W be linear, and let {w1, w2,..., wk} be linearly independent subset of R(T). Prove that if S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k, then S is linearly independent

S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k --> S is linearly independent

I assumed the negation

S = {v1,v2,...vk} is chosen so that T(vi) = wi, for i = 1, 2,...,k and S is Linearly Dependent

Since S is linearly dependent

a1v1 + a2v2 + ... akvk = 0
such that there exists a nonzero coefficient

then as you suggested, by taking T of both sides

T(a1v1 + a2v2 + ... akvk) = T(0)

and since T is linear

a1 T(v1) + ... + ak T(vk) = 0 [since T(0)=0 ]

then our other assumption, T(vi)=wi

implies that

a1w1 +...+ akwk = 0

Since there existed a nonzero coefficient,
that implies that

{w1, w2, ... , wk} is Linearly DEPENDENT

which contradicts the statement that {w1, w2, ... , wk} is Linearly Independent

thus the original statement is true

is this correct?
 
I'm a beginner to proofs myself, but your proof looks correct to me. I don't think you needed to use contradiction.

Here's my work, although I'm not 100% sure its correct either:

suppose f(c1v1 + c2v2 + ... ckvk) = c1w1 + c2w2 + ... ckwk = 0
Then, since (w1, ..., wk) is linearly independent, c1=c2=...ck=0

As T is linear, f(0) = 0 since W is a vector space?

Thus, c1v1 + c2v2 + ... ckvk = 0. From above, c1=c2=...ck=0. Thus v1, v2, ...vk is linearly independent
 
proton said:
I'm a beginner to proofs myself, but your proof looks correct to me. I don't think you needed to use contradiction.

Here's my work, although I'm not 100% sure its correct either:

suppose f(c1v1 + c2v2 + ... ckvk) = c1w1 + c2w2 + ... ckwk = 0
Then, since (w1, ..., wk) is linearly independent, c1=c2=...ck=0

As T is linear, f(0) = 0 since W is a vector space?

Thus, c1v1 + c2v2 + ... ckvk = 0. From above, c1=c2=...ck=0. Thus v1, v2, ...vk is linearly independent
first, if you are given a linear tranformation, T, don't start talking about "f"!

Second, while it is certainly true that T(0)= 0, it is NOT always true that if T(v)= 0, then we must have v= 0! And that's the way you need.
 
proton said:
I'm a beginner to proofs myself, but your proof looks correct to me. I don't think you needed to use contradiction.

Here's my work, although I'm not 100% sure its correct either:

suppose f(c1v1 + c2v2 + ... ckvk) = c1w1 + c2w2 + ... ckwk = 0
Then, since (w1, ..., wk) is linearly independent, c1=c2=...ck=0

As T is linear, f(0) = 0 since W is a vector space?

Thus, c1v1 + c2v2 + ... ckvk = 0. From above, c1=c2=...ck=0. Thus v1, v2, ...vk is linearly independent
first, if you are given a linear tranformation, T, don't start talking about "f"!

Second, while it is certainly true that T(0)= 0, it is NOT always true that if T(v)= 0, then we must have v= 0! The kernel of a linear transformation is not necessairily {0}. And that's the way you need.
 
ok let me try it again:

suppose c1v1 + c2v2 + ... ckvk = 0. Taking T of both sides, we obtain
T(c1v1 + c2v2 + ... ckvk) = T(0) = 0 [since T(0) = 0 because T is linear?] Then
c1w1 + c2w2 + ... ckwk = 0
Then, since (w1, ..., wk) is linearly independent, c1=c2=...ck=0

Thus, for c1v1 + c2v2 + ... ckvk = 0, with c1=c2=...ck=0, S = {v1,v2,...vk} must be a linearly independent set
 
proton said:
[since T(0) = 0 because T is linear?]


If you don't understand whty T(0) is 0 then you should try to prove it.
 
proton said:
ok let me try it again:

suppose c1v1 + c2v2 + ... ckvk = 0. Taking T of both sides, we obtain
T(c1v1 + c2v2 + ... ckvk) = T(0) = 0 [since T(0) = 0 because T is linear?] Then
c1w1 + c2w2 + ... ckwk = 0
Then, since (w1, ..., wk) is linearly independent, c1=c2=...ck=0

Thus, for c1v1 + c2v2 + ... ckvk = 0, with c1=c2=...ck=0, S = {v1,v2,...vk} must be a linearly independent set

Looks correct.
 

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