Linear transformations question

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Homework Help Overview

The discussion revolves around a linear transformation problem involving two vector spaces with specified bases. The original poster is tasked with finding a linear transformation from one basis to another while ensuring injectivity and providing the corresponding transformation matrix.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to find the transformation matrix first and questions the correctness of their approach. They express uncertainty about the implications of their calculations and the dependence on the chosen basis.

Discussion Status

Some participants affirm the correctness of the matrix found by the original poster and suggest that simply defining the transformation on the basis vectors is sufficient to describe the transformation. There is an ongoing exploration of the implications of linearity and injectivity.

Contextual Notes

The original poster expresses concern about their understanding of the problem and the potential for being marked down for their approach. There is a focus on the independence of the transformation definition from the basis representation.

Rackhir
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Homework Statement


Today in my final i was given this exercise:
Given β_1=\{v_1,v_2,v_3\} and β_2=\{u_1,u_2,u_3,u_4\}, basis of the vector spaces V and U respectively.
a) Find the linear transformation T:U\rightarrow V so that T(v_i)≠T(v_j) if i≠j, T(v_1)=u_1+u_2 and T is injective

b) Find the transformation matrix from β_1 to β_2, [T]_{β_1 \rightarrow β_2}

Homework Equations


If T is injective if and only if Kernel(T)=\{0\}, that means that the nullspace of the transformation matrix is \{0\}

The Attempt at a Solution


I thought that finding [T]_{β_1 \rightarrow β_2} first would be easier, or at least it made more sense for me. I found this matrix
\begin{pmatrix}<br /> 1&amp;0&amp;0\\<br /> 1&amp;0&amp;0\\<br /> 0&amp;1&amp;0\\<br /> 0&amp;0&amp;1\\<br /> \end{pmatrix}

Where the first column, \begin{pmatrix}<br /> 1\\<br /> 1\\<br /> 0\\<br /> 0\\<br /> \end{pmatrix}
comes from T(v_1)=u_1+u_2, and the other two were chosen so the nullspace of [T]_{β_1 \rightarrow β_2} is in fact, \{0\}
My big question, is this right? or it's horribly wrong and i should feel ashamed when i look myself in the mirror?

Then, for a) find the transformation per se, should i solve the following system?
\begin{pmatrix}<br /> 1&amp;0&amp;0\\<br /> 1&amp;0&amp;0\\<br /> 0&amp;1&amp;0\\<br /> 0&amp;0&amp;1\\<br /> \end{pmatrix} \begin{pmatrix}x\\y\\z\end{pmatrix} = \begin{pmatrix}a\\b\\c\\d\end{pmatrix}, where (x,y,z) \in V and (a,b,c,d) \in U. So i end with a=x, b=x, c=y, d=z, but this is highly dependent on the basis chosen, right? shouldn't be dependent?

Any help will be highly appreciated, i'd love to know how this is actually solved.
 
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Your matrix is fine. Feel free to look in the mirror.

For part (a), all you probably needed to do was say what T does to the basis vectors in β1, and then prove that T is injective.
 
vela said:
Your matrix is fine. Feel free to look in the mirror.

For part (a), all you probably needed to do was say what T does to the basis vectors in β1, and then prove that T is injective.

YEY, i feel relieved :) and what do you mean with "all you probably needed to do was say what T does to the basis vectors in β1"? is a=x, b=x, c=y, d=z \ \forall \ (x,y,z)∈V \ and \ (a,b,c,d)∈U wrong? as you can see, i have more problems finding out what i need to do, rather than doing it
I just hope my teachers dion't mark me wrong because i found the matrix first :P
Santiago
 
Like you said, the calculation you did depends on the basis, but saying that T(v1) = u1+u2 is independent of the basis. Whatever representation you use, T will always map v1 to u1+u2.

Because T is linear, if you specify what it does to a set of basis vectors, you've determined what T will do to any vector in the space, so simply saying what T(v1), T(v2), and T(v3) are is enough to fully describe T.
 
vela said:
Like you said, the calculation you did depends on the basis, but saying that T(v1) = u1+u2 is independent of the basis. Whatever representation you use, T will always map v1 to u1+u2.

Because T is linear, if you specify what it does to a set of basis vectors, you've determined what T will do to any vector in the space, so simply saying what T(v1), T(v2), and T(v3) are is enough to fully describe T.

Oh i see, so, with the matrix i chose, T(v_1)=u_1+u_2, T(v_2)=u_3 and T(v_3)=u_4. Well that does make sense now. And since they will be clearly linearly independent, the proof that T is injective is rather obvious.
 

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