Transformation Matrix T in Terms of β1, β2 with Row Reduction Explained

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SUMMARY

The discussion focuses on the transformation matrix T expressed in terms of the basis vectors β1 and β2, specifically T(α1) = (1,−3), T(α2) = (2,1), and T(α3) = (1,0). It clarifies that the matrix of T relative to the bases B and B' is derived through row reduction, although it is noted that simply swapping the rows suffices in this case. The relationship between the transformation matrix and the equation B = S^{-1}AS is also highlighted, indicating that row reduction may be necessary if B' is defined in a more complex manner.

PREREQUISITES
  • Understanding of transformation matrices in linear algebra
  • Familiarity with basis vectors and their representation
  • Knowledge of row reduction techniques in matrix algebra
  • Comprehension of the relationship between different bases in vector spaces
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  • Study the process of row reduction in detail using linear algebra textbooks
  • Learn about the implications of changing bases in vector spaces
  • Explore the concept of similarity transformations and their applications
  • Investigate the use of the equation B = S^{-1}AS in various linear transformations
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to clarify concepts related to transformation matrices and basis changes.

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Homework Statement
Let T be the linear transformation from R3 into R2 defined by T(x1, x2, x3) = (x1 + x2, 2x3 - x1).
B={α1,α2,α3} and B′ ={β1,β2}, where α1 = (1,0,−1), α2 = (1,1,1), α3 = (1,0,0), β1 = (0,1), β2 = (1,0). What is the matrix of T relative to the pair B, B′?
Relevant Equations
transformation
T(α1), T(α2), T(α3) written in terms of β1, β2:
Tα1 =(1,−3)
Tα2 =(2,1)
Tα3 =(1,0).
Then there is row reduction:
1667976594734.png

Therefore, the matrix of T relative to the pair B, B' is
1667976607260.png

I don't understand why the row reduction takes place? Also, how do these steps relate to ## B = S^{-1}AS ##? Thank you.
 
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The solution has calculated the matrix of T relative to the basis B and the standard basis of \mathbb{R}^2, \{ e_1 = (1,0), e_2 = (0,1) \}. But \beta_1 = e_2 and \beta_2 = e_1 so the rows of that matrix need to be swapped to give the matrix with respect to B and B', But you really don't need row reduction to do that; you can just swap the rows.

If B' depended on the standard basis in a less straightforward manner, then the row reduction may have been necessary to get to the required matrix.
 
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