Linear Algebra: basic proof about a linear transformation

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Homework Help Overview

The discussion revolves around proving a property of linear transformations in the context of linear algebra. Specifically, it examines the relationship between a one-to-one linear transformation T from vector space V to vector space W and the linear independence of a set of vectors in V and their images in W.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the conditions under which the image of a linearly independent set under a one-to-one transformation remains linearly independent. There is an exploration of definitions and properties related to linear independence and the implications of the transformation being one-to-one.

Discussion Status

The discussion has evolved with participants clarifying terms and correcting initial misstatements. A revised proof has been presented that incorporates the linearity of T and the implications of T being one-to-one, leading to a more structured argument regarding the linear independence of the transformed set.

Contextual Notes

There was initial confusion regarding the terminology used to describe the set of vectors in V, with some participants questioning the appropriateness of referring to it as a subspace. The assumption that T is linear was also clarified during the discussion.

brushman
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Homework Statement


Given:
T is a transformation from V -> W and the dim(V) = n and dim(W) = m (I think the dimensions were given for the purposes of another problem)

Prove:
If T is 1 to 1 and {v1, ..., vk} is a subspace of V that is L.I., then {T(v1), ..., T(vk)} is L.I in W.

The Attempt at a Solution


First we form the set of transformations

A = {T(v1), ..., T(vk)}.

Since v1, ..., vk are L.I., none of these vectors are equal to each other.

Then since T is 1 to 1, T(vi) =/= T(vj) where vi and vj represent any vectors from {v1, ..., vk}.

Finally, this means that c1T(v1) + ... + ckT(vk) = 0 has only the trivial solution c1...ck = 0.

Therefore, {T(v1), ..., T(vk)} is L.I in W.
 
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brushman said:

Homework Statement


Given:
T is a transformation from V -> W and the dim(V) = n and dim(W) = m (I think the dimensions were given for the purposes of another problem)

Prove:
If T is 1 to 1 and {v1, ..., vk} is a subspace of V that is L.I., then {T(v1), ..., T(vk)} is L.I in W.
{v1, …, vk} isn't a subspace, and it doesn't make sense to say a subspace is linearly independent. {v1, …, vk} is simply a set of k linearly independent vectors in V.

The Attempt at a Solution


First we form the set of transformations

A = {T(v1), ..., T(vk)}.

Since v1, ..., vk are L.I., none of these vectors are equal to each other.

Then since T is 1 to 1, T(vi) =/= T(vj) where vi and vj represent any vectors from {v1, ..., vk}.

Finally, this means that c1T(v1) + ... + ckT(vk) = 0 has only the trivial solution c1...ck = 0.
Just because two vectors aren't equal to each other doesn't mean they're linearly independent. The vectors (1,0,0) and (2,0,0) for example aren't equal to each other, but they are dependent.
Therefore, {T(v1), ..., T(vk)} is L.I in W.
You want to use the fact that T is linear. (You didn't say it was, but I assume that it's a given in the problem.) What can you say about the null space of T since it's one-to-one?
 
Thanks vela. Sorry about mis-wording the question, and yes, T is linear. Here is the revised version of my proof:Let A = {T(v1), ..., T(vk)} .

For {T(v1), ..., T(vk)} to be L.I., we must have the trivial solution for c1T(v1) + ... + ckT(vk) = 0 . Or, by linearity, T(c1v1 + ... + ckvk) = 0 .

Since T is 1 to 1, the null space of T must be 0. That is, T(0) = 0. This means that c1v1 + ... + ckvk = 0.

Because v1, ..., vk are L.I., all the c's must equal 0 (aka we have only the trivial solution).

Therefore we can conclude that {T(v1), ..., T(vk)} is L.I in W.
 
Perfect!
 

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