Proof involving linear transformation of a set of vectors

In summary, if S is linearly dependent, then the set {T(u), T(v), T(w)} is also linearly dependent under the linear transformation T. This is because there exists a linear relationship between the vectors in S, and this relationship holds true even after applying the transformation T. Therefore, S` is also linearly dependent under T.
  • #1
Lanthanum
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0

Homework Statement


Let T:[tex]\Re^{n}[/tex][tex]\rightarrow[/tex][tex]\Re^{m}[/tex] and let S={u,v,w}[tex]\in[/tex][tex]\Re^{n}[/tex].

If S is linearly dependent, show that {T(u), T(v), T(w)} is also linearly dependent.

Homework Equations


N/A


The Attempt at a Solution


Since S[tex]\in[/tex][tex]\Re^{n}[/tex] then S`[tex]\in[/tex][tex]\Re^{m}[/tex].
Not sure where to go from here
 
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  • #2
If the set of vectors are dependent you can find a linear relationship between them.

What happens to this linear relationship under the map T?
 
  • #3
If p(t) is the linear relationship between the vectors in S, does that mean that T[p(t)] is the linear relationship between the vectors in S`?

If so I guess that proves that S` is also linearly dependent since there exists the linear relationship T[p(t)] between its elements.
 
  • #4
Look up the definition of linear dependence.
 
  • #5
Something is lacking in your statement of the problem. Is T supposed to be a linear map? You did not say so.
 
  • #6
Lanthanum said:
If p(t) is the linear relationship between the vectors in S, does that mean that T[p(t)] is the linear relationship between the vectors in S`?

If so I guess that proves that S` is also linearly dependent since there exists the linear relationship T[p(t)] between its elements.
Don't ask, work it out. Your "p(t) is the linear relationship" is what Ziox suggested you look up- the definition of "linearly dependent". If vectors, u, v, and w are linearly dependent, then there exist numbers, a, b, c, not all 0, such that au+ bv+ cw= 0.

Now look at T(au+ bv+ cw)= T(0).

As Arkajad suggested, you will need to specify that T is a linear transformation (which you do in a later post).
 
  • #7
Aha! I think I have it.

If vectors, u, v, and w are linearly dependent, then there exist numbers, a, b, c, not all 0, such that au+ bv+ cw= 0.

Now look at T(au+ bv+ cw)= T(0)

Since T is a linear transformation, T(0)=0, and T(au+ bv+ cw)=aT(u)+bT(v)+cT(w)=0

Since there exists scalars, a, b, c, not all 0, such that the above equation is true, S` is linearly dependent.

I can't believe I missed that even after ZioX's advice, guess I needed a study break. Thanks guys.
 

FAQ: Proof involving linear transformation of a set of vectors

1. What is a linear transformation?

A linear transformation is a function that maps one vector space to another in a way that preserves vector addition and scalar multiplication. In other words, the transformation follows the properties of linearity, such as preserving parallelism and maintaining the origin.

2. How do you prove that a transformation is linear?

To prove that a transformation is linear, you need to show that it satisfies two properties: additivity and homogeneity. Additivity means that the transformation of the sum of two vectors is equal to the sum of the individual transformations. Homogeneity means that the transformation of a scalar multiple of a vector is equal to the scalar multiple of the transformation of the original vector.

3. Can a linear transformation change the dimension of a vector space?

No, a linear transformation cannot change the dimension of a vector space. This is because it must preserve the properties of linearity, including the number of dimensions in the vector space. So, if the original vector space has n dimensions, the transformed vector space must also have n dimensions.

4. How do you prove that a set of vectors is linearly independent?

A set of vectors is linearly independent if none of the vectors can be expressed as a linear combination of the other vectors in the set. To prove this, you can use the definition of linear independence and set up a system of equations to show that the only solution is the trivial solution (all coefficients equal to 0).

5. Is there a relationship between linear transformations and matrices?

Yes, there is a close relationship between linear transformations and matrices. Every linear transformation can be represented by a matrix, and every matrix can be thought of as a linear transformation. This makes it easier to perform calculations involving linear transformations by using matrix operations.

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