Linear algebra; find the standard matrix representation

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Homework Help Overview

The problem involves finding the standard matrix representation for a linear operator that reflects vectors in R2 about the x1 axis and then rotates them 90° counterclockwise. The original poster describes their initial thoughts on how to apply the reflection and rotation to the basis vectors.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the application of the linear operator to basis vectors and the implications of the reflection and rotation. Questions arise about how to incorporate the 90° rotation after reflection, and there is a suggestion to consider a general vector (x,y) instead of just the basis vectors.

Discussion Status

The discussion has seen some productive exchanges, with participants exploring different approaches to understanding the transformation. One participant expresses confusion about integrating the rotation into their reasoning, while another emphasizes the importance of examining the transformation's effect on basis vectors. There is acknowledgment of a resolution from the original poster, though the details of that resolution are not specified.

Contextual Notes

There is an indication that the original poster may have constraints in their understanding of how to apply the transformations sequentially. The discussion includes differing opinions on the best approach to derive the matrix representation.

Mdhiggenz
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Homework Statement



Find the standard matrix representation for each of the following linear operators:

L is the linear operator that reflects each vector x in R2 about the x1 axis and then rotates it 90° in the counterclockwise direction.

Homework Equations


The Attempt at a Solution



So my thinking is they wat a L.O that reflects any vector about the x1 axis. So for instance if we input a vector e1=(1,0) into our linear operator
L(e1)=(x1,-x2)
L(e1)=(1,0)T

Same goes for e2

e2=(0,1)

L(e2)=(y1,-y2)

L(e2)=(0,-1)

Here is where I get a bit confused. How do It ake in the 90° counter clockwise rotation into account?
 
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Hi Mdhiggenz! :smile:
Mdhiggenz said:
How do It ake in the 90° counter clockwise rotation into account?

You start with a general (x,y), not just (1,0) and (0,1) …

where does (x,y) go to on the reflection? and then where does that go to on the rotation? :wink:
 
I figured it out thank you!
 
tiny-tim said:
Hi Mdhiggenz! :smile:


You start with a general (x,y), not just (1,0) and (0,1) …

where does (x,y) go to on the reflection? and then where does that go to on the rotation? :wink:
I disagree. Seeing what a linear transformation does to the basis vectors is a standard way of finding a matrix representation of it: Apply the linear transformation to each domain basis vector in turn, writing the result as a linear combination of the range basis vectors. The coefficients for a column of the matrix.

The linear transformation is: "reflect each vector x in R2 about the x1 axis and then rotate it 90° in the counterclockwise direction".

Reflecting (1, 0) in the x1 axis doen't change it but rotating 90° in the counterclockwise direction gives (0, 1).

Reflecting (0, 1) in the x1 axis gives (0, -1) and rotating 90° in the counterclockwise direction gives (1, 0). That is (1, 0) is mapped to (0, 1) and (0, 1) is mapped into (1, 0). This linear transformation is the same as reflection about y= x.
 

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