Help understanding what is/is not a linear transformation from R2->R3

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Homework Help Overview

The discussion revolves around determining whether specific functions are linear transformations from R² to R³. The original poster presents four functions and seeks clarification on their validity as linear transformations, referencing the necessary conditions for linearity.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to apply the conditions for linear transformations to the given functions, questioning the validity of each function based on these criteria. Some participants suggest testing specific cases to evaluate the conditions, particularly focusing on the implications of using vectors versus coordinates.

Discussion Status

Participants are actively engaging with the definitions and properties of linear transformations. There is a recognition of confusion regarding notation and the interpretation of variables as vectors rather than scalar values. Some guidance has been offered to clarify these concepts, and further questions about the implications of specific components in the functions have been raised.

Contextual Notes

There is an indication that the original poster is working within constraints of limited examples and a focus on proofs in their coursework, which may contribute to their confusion. The discussion also highlights the importance of understanding the distinction between vectors and their components in the context of linear transformations.

Daren H
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Homework Statement


Determine whether the following are linear transformations from R2 into R3:

Homework Equations


a) L(x)=(x1, x2, 1)^t
b) L(x)=(x1, x2, x1+2x2)^t
c) L(x)=(x1, 0, 0)^t
d) L(x)=(x1, x2, x1^2+x2^2)^t

The Attempt at a Solution


To show L is a linear transformation, I need to be able to show:
1. L(a*x1+b*x2)=aL(x1)+bL(x2);
2. L(x1+x2)=L(x1)+L(x2);
3. L(a*x1)=aL(x1);

By looking and playing around with this, I can see how d is not a transformation, since if I let a=-1 and b=-2, then rule 3 does not hold. If I'm wrong, please correct me.
But as far as a, b, and c, it looks like all three rules hold. The appendix says a is not a transformation, but I'm not sure why. It seems to me that a also satisfies the 3 conditions, what am I missing? Is there an easier way to do this? Can someone explain this to me like I'm two years old?
 
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Do you really think L(x1+x2)=L(x1)+L(x2) holds for a)? I mean try x1=(0,0) and x2=(0,0).
 
Dick said:
Do you really think L(x1+x2)=L(x1)+L(x2) holds for a)? I mean try x1=(0,0) and x2=(0,0).

I don't see it.
I thought x1 and x2 would be single values such as x1=0 and x2=0, not coordinates in two space such as (0,0). Is it the case if I'm going from R2->R2 and not R2->R3? I have very few examples in my class notes (my professor spends most of the class time on proofs, not examples) but both examples I do have has a single value for x1, x2, so on.If I try L(x1+x2)=L(x1)+L(x2) for x1=(0,0) and x2=(0,0) do I get (0,0,2)=(0,0,1)+(0,0,1)? The only thing I'm sure about is that I'm probably way off.
 
It's just a difference in notation. Dick used x1 and x2 to represent vectors in R^2, where you're looking at x1 and x2 as coordinates of a single vector.

Here's what he said using different notation:
Do you really think L(u+v)=L(u)+L(v) holds for a)? I mean try u=(0,0) and v=(0,0).

Also, but more importantly, you are not understanding the definition of a linear transformation. You have this:
1. L(a*x1+b*x2)=aL(x1)+bL(x2);
2. L(x1+x2)=L(x1)+L(x2);
3. L(a*x1)=aL(x1);
In this definition x1 and x2 are vectors in R^2, not coordinates of a vector. It might be better for you to not to use indexes on vectors, but to use indexes on coordinates of vectors.

This makes your definition look like this:
1. L(a*u+b*v)=aL(u)+bL(v);
2. L(u+v)=L(u)+L(v);
3. L(a*u)=aL(u);

In the above, u = (u1, u2) and v = (v1, v2)

Got it?
 
Mark44 said:
you are not understanding the definition of a linear transformation.
You sir, are correct.

I should have guessed that he was referring to vectors and not coordinates since essentially the problem is asking which of the four are valid transformations of vectors from two space to three space. Thank you for the explanation. However, I may have one more question on this depending on how the next step turns out.

So by rule 2, I have
L(u+v)=L(u)+L(v) => L(u1+v1, u2+v2)=>L(u1,u2)+L(v1,v2);
But if I go back to my original problem I'm not sure how the 1 in (u, v, 1)^t plays into this.


I'm trying my best not to sound like a blithering idiot.
 
Daren H said:
If I try L(x1+x2)=L(x1)+L(x2) for x1=(0,0) and x2=(0,0) do I get (0,0,2)=(0,0,1)+(0,0,1)? The only thing I'm sure about is that I'm probably way off.

That is exactly right. L takes a 2-vector and gives you a 3-vector. So L((0,0))=(0,0,1). But (0,0)+(0,0)=(0,0). So L((0,0))=(0,0,1) is NOT equal to L((0,0))+L((0,0))=(0,0,2). (Sorry I'm skipping putting the transpose symbol (0,0)^T on.)
 
Mark44, Dick; thanks for the help. Clearly I need more practice, so I might be back in this thread this weekend.
 

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