Linear Transformations: Proving Rules & Demonstration

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SUMMARY

This discussion focuses on proving that specific functions are linear transformations using the properties T(u+v) = T(u) + T(v) and T(Lu) = LT(u). The transformation T is defined for vectors in R³ and R², with examples provided for both cases. The participants confirm that the transformations satisfy the linearity conditions, demonstrating that T(u+v) equals Tu+Tv and T(Lu) equals LTu for given vectors u and v, and scalar L.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically linear transformations.
  • Familiarity with vector notation and operations in R² and R³.
  • Knowledge of scalar multiplication and its properties.
  • Ability to manipulate and simplify vector expressions.
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  • Study the properties of linear transformations in detail.
  • Learn about matrix representations of linear transformations.
  • Explore the implications of linearity in higher-dimensional spaces.
  • Investigate applications of linear transformations in computer graphics and data science.
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators looking to enhance their understanding of linear transformations and their proofs.

Ereisorhet
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Good afternoon people.
So i have to demonstrate that the problems below are Linear Transformations, i have searched and i know i have to do it using a couple of "rules", it is a linear transformation if:
T(u+v) = T(u) + T(v) and T(Lu) = LT(u), the thing is that i really can't understand how to develop that and find the demonstration.
Thanks for reading.

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For (a), let u= \begin{pmatrix}u_1 \\ u_2 \\ u_3\end{pmatrix} and u= \begin{pmatrix}v_1 \\ v_2 \\ v_3\end{pmatrix}.

We are told that "T\begin{pmatrix}x \\ y \\ z \end{pmatrix}= \begin{pmatrix}1 \\ z \end{pmatrix} so Tu= \begin{pmatrix}1 \\ u_3\end{pmatrix} and Tv= \begin{pmatrix}1 \\ v_3\end{pmatrix}. So Tu+ Tv= \begin{pmatrix}2 \\ u_3+ v_3 \end{pmatrix}.
But u+ v= \begin{pmatrix}u_1+ v_1 \\ u_2+ v_2 \\ u_3+ v_3 \end{pmatrix} so T(u+ v)= \begin{pmatrix}1 \\ u_3+ v_3\end{pmatrix}. Is T(u+ v)= Tu+ Tv?

For (b), let u= \begin{pmatrix}u_1 \\ u_2 \end{pmatrix} and v= \begin{pmatrix}v_1 \\ v_2 \end{pmatrix}. Tu= \begin{pmatrix} 2u_1+ u_2 \\ u_1- 3u_2 \\ u_1 \\ u_ 2 \end{pmatrix} and Tv= \begin{pmatrix} 2v_1+ v_2 \\ v_1- 3v_2 \\ v_1 \\ v_2 \end{pmatrix}. So Tu+ Tv= \begin{pmatrix}2u_1+ u_2+ 2v_1+ v_2 \\ u_1- 3u_2+ v_2- 3v_2 \\ u_1+ v_2 \\ u_2+ v_2 \end{pmatrix}.
u+ v= \begin{pmatrix}u_1+ v_1 \\ u_2+ v_2 \end{pmatrix} so T(u+ v)= \begin{pmatrix}2(u_1+ v_1)+ (u_2+ v_2) \\ (u_1+ v_1)- 3(u_2+ v_3) \\ u_1+ v_1 \\ u_2+ v_2 \end{pmatrix}.

Do you see that those are the same, so T(u+ v)= Tu+ Tv?

Now we need to show that "T(Lu)= LTu" where L is a "scalar" (a number). Lu= \begin{pmatrix}Lu_1 \\ Lu_2 \end{pmatrix} so T(Lu)= \begin{pmatrix} 2Lu_1+ Lu_2 \\ Lu_1- 3Lu_2 \\ Lu_1 \\ Lu_2 \end{pmatrix} and LTu= L\begin{pmatrix}2u_1+ u_2 \\ u_1- 3u_2 \\ u_1 \\ u_2\end{pmatrix}= \begin{pmatrix}L(2u_1+ u_2) \\ L(u_1- 3u_2) \\ Lu_1 \\ Lu_2 \end{pmatrix}. Do you see that T(Lu)= LTu?
 

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