Linear algebra; find the standard matrix representation

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The discussion focuses on finding the standard matrix representation of a linear operator that reflects vectors in R2 about the x1 axis and then rotates them 90° counterclockwise. The initial confusion arises from how to incorporate the rotation after reflection. It is clarified that applying the transformation to the basis vectors (1,0) and (0,1) reveals that (1,0) becomes (0,1) after rotation, while (0,1) transforms to (1,0). This process demonstrates that the linear transformation can also be viewed as a reflection about the line y=x. The key takeaway is that understanding the transformation's effect on basis vectors is essential for deriving 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.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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