Matrix representation for a transformation

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Homework Help Overview

The discussion revolves around a linear transformation T: R3-->R2, defined by T(x1, x2, x3) = (3x2 - x3, x1 + 4x2 + x3). Participants are exploring the matrix representation of this transformation and its properties regarding one-to-one and onto characteristics.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the matrix representation of the transformation and the implications of its row-reduced form. Questions arise about the reasoning behind determining whether the transformation is one-to-one or onto, particularly in relation to the number of rows and columns in the matrix.

Discussion Status

Some participants confirm the correctness of the matrix representation and the conclusions drawn about the transformation's properties. There is an ongoing exploration of different methods to arrive at these conclusions, with suggestions to consider the relationship between the dimensions of the input and output spaces.

Contextual Notes

Participants note that the transformation is from R3 to R2, which influences the discussion about its one-to-one nature due to the number of columns exceeding the number of rows.

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Homework Statement


Consider the linear transformation T: R2-->R2, where
T(x1, x2, x3)= (3x2-x3, x1+4x2+x3)

a. Find a matrix which implements this mapping.
b. Is this transformation one-to-one? Is it onto? Explain.

Homework Equations


[T(x)]_B = ([T]_B) (x_B)


The Attempt at a Solution


The matrix that implements this mapping would be the representation ([T]_B). I think that (x_B) is the vector [x1, x2, x3] and that [T(x)]_B is (3x2-x3, x1+4x2+x3) relative to the {x1, x2, x3} basis. So then ([T]_B) must be the matrix:

0 3 -1
1 4 1

Row-reducing this matrix to echelon form gives 2 pivots, so the transformation is onto since the system is consistent, but it is not one-to-one because the system is linearly dependent.


Are all my thoughts correct for this problem?
 
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The matrix is correct. T:R3->R2, not R2->R2. Your conclusions are also correct. Though I would probably figure them out in a less abstract way than counting 'pivots'.
 
How would you come to the conclusions? Would you first just point out that there are more columns than rows so one-to-one is not a possibility?
 
You might, for instance, find two distinct vectors of R3 which map into the same thing.
 

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