Finding the Standard Matrix A of a Linear Transformation T

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SUMMARY

The discussion focuses on finding the standard matrix A of a linear transformation T from R3 to R3. Given the transformation of vectors (1,1,0), (1,0,1), and (0,1,1) to (1,1,1), (0,1,3), and (3,4,0) respectively, participants detail the process of setting up a system of equations using matrix multiplication. The method involves constructing an augmented matrix and applying row reduction to solve for the entries of matrix A. The discussion also touches on determining whether the transformation T is one-to-one and onto.

PREREQUISITES
  • Understanding of linear transformations in R3
  • Familiarity with matrix multiplication and augmented matrices
  • Knowledge of row reduction techniques
  • Concept of one-to-one and onto transformations
NEXT STEPS
  • Study the properties of linear transformations in Rn
  • Learn about the Rank-Nullity Theorem
  • Explore methods for determining the invertibility of matrices
  • Investigate applications of linear transformations in computer graphics
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Students and educators in linear algebra, mathematicians analyzing linear transformations, and anyone interested in the practical applications of matrix theory in higher dimensions.

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Homework Statement



Let T be a linear transformation from R3 to R3. Suppose T transforms (1,1,0) ,(1,0,1) and (0,1,1) to (1,1,1) (0,1,3) and (3,4,0) respectively.

Find the standard matrix of T and determine whether T is one to one and if T is onto

Homework Equations





The Attempt at a Solution


taking a 3x3 matrix entries [x1,x2,x3;x4,x5,x6] and multiply that by a 3x3 matrix with entries [1,1,0;1,0,1;0,1,1] and set that equal to a matrix with entries [1,0,3;1,1,4;1,3,0] and then got a system of equations from there by multiplying the left side out. And then set up an augmented matrix and used row reduction to find corresponding entries for A?
 
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<br /> V_1= \begin{pmatrix} 1\\1\\0\end{pmatrix},<br /> V_2= \begin{pmatrix} 1\\0\\1\end{pmatrix},<br /> V_3= \begin{pmatrix} 0\\1\\1\end{pmatrix}\\<br /> B_1=\begin{pmatrix} 1\\1\\1\end{pmatrix},<br /> B_2=\begin{pmatrix} 0\\1\\3\end{pmatrix},<br /> B_3=\begin{pmatrix} 3\\4\\0\end{pmatrix}<br />
Then you may write that

<br /> T\cdot\left ( V_1 V_2 V_3\right) = \left ( B_1 B_2 B_3 \right )<br />
Observe a few things about \left ( V_1 V_2 V_3\right) and you should be on your way to finding the solution.
 

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