How to Solve Linear Transformations with Only a Constant?

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Homework Help Overview

The discussion revolves around the properties of a function defined as F: R^2 to R^2, specifically examining whether it qualifies as a linear transformation given its structure, which includes a constant in the output.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the definition of linear transformations and question whether the presence of a constant in the output affects the linearity of the function. There is an attempt to verify the conditions for linearity by substituting vectors and checking the results.

Discussion Status

The discussion indicates that some participants agree on the conclusion that the function does not satisfy the criteria for a linear transformation, while others are engaged in clarifying the reasoning behind this conclusion.

Contextual Notes

Participants are working under the constraints of specific linearity conditions that must be satisfied, and there is an emphasis on understanding the implications of having a constant in the transformation's output.

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Homework Statement


F:R^2 to R^2 defined by

F(x)=
x1+x2
1


Where x=
x1
x2

Homework Equations


Must satisfy these conditions:
T(u+v)=T(u)+T(v)
T(au)=aT(u)



The Attempt at a Solution



I said
u=
u1
u2

v=
v1
v2

u+v=
u1+u2
v1+v2

then F(u+v)=
(u1+v1) + (u2+v2)
...

This is where I got confused.

Because there is only a constant in the bottom row, which is a 1,
does this mean it is not a transformation? I don't know how to solve these when there is only a constant.
 
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You're exactly right. You have
F(u+v) = \begin{pmatrix}<br /> u_1+v_1+u_2+v_2 \\<br /> 1<br /> \end{pmatrix} \not= \begin{pmatrix}<br /> u_1+u_2 \\<br /> 1<br /> \end{pmatrix} + \begin{pmatrix}<br /> v_1+v_2 \\<br /> 1<br /> \end{pmatrix} = F(u)+F(v)
So F is not a linear transformation.
 
You are doing fine. Yes, there is a 1 in the second row. Just write it down. Now is F(u+v)=F(u)+F(v)?
 
No it is not. Thank you very much.
 

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