How does T rotate points in \mathbb{R}^2?

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Homework Help Overview

The discussion revolves around finding the standard matrix of a transformation T that rotates points in \(\mathbb{R}^2\) by \(\frac{3\pi}{2}\) radians counterclockwise about the origin. Participants are examining the relationship between the transformation and its effect on the standard basis vectors.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the calculation of the rotation matrix and the implications of applying the transformation to the basis vectors \(\vec{e_1}\) and \(\vec{e_2}\). There is confusion regarding the results presented in the textbook compared to individual calculations, particularly concerning the output of T on the basis vectors.

Discussion Status

There is an ongoing exploration of the transformation's effects on the basis vectors, with some participants suggesting that visualizing the rotation could clarify the results. The conversation indicates that multiple interpretations of the transformation's output are being considered, and guidance has been offered regarding how to derive the matrix from the action on the basis vectors.

Contextual Notes

Participants are navigating potential discrepancies between their calculations and the textbook's results, questioning the assumptions made in the problem setup. There is also mention of the angle of rotation and its implications for the transformation.

flyingpig
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Homework Statement



Find the standard matrix of T

[tex]T: \mathbb{R}^2 \to \mathbb{R}^2[/tex] rotates points (about the origin) through [tex]\frac{3 \pi}{2}[/tex] radians counterclockwise

The Attempt at a Solution



I just substitute [tex]\frac{3 \pi}{2}[/tex] into the rotation matrix and I got [tex]\begin{bmatrix}<br /> 0 & 1 \\ <br /> -1 & 0 <br /> \end{bmatrix}[/tex]

The book got this answer too, but they did something weird

They did [tex]T(\vec{e_1}) = -\vec{e_1}[/tex] and [tex]T(\vec{e_2}) = \vec{e_1}[/tex]

I don't understand how they got [tex]T(\vec{e_1}) = -\vec{e_1}[/tex]
 
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It looks like a typo. What did you find for [tex]T(\vec{e_1})[/tex]?
 
I meant [tex]T(\vec{e_1}) = -\vec{e_2}[/tex]
 
flyingpig said:
I meant [tex]T(\vec{e_1}) = -\vec{e_2}[/tex]

I'm confused whether that's what you obtained or what the book obtained. In either case, that's correct, since

[tex]\vec{e}_1 = \begin{pmatrix} 1 \\ 0 \end{pmatrix}, ~~ \vec{e}_2 = \begin{pmatrix} 0 \\ 1 \end{pmatrix}.[/tex]

You can explicitly rotate these by [tex]+3\pi/2[/tex] to find the action of [tex]T[/tex]. The matrix form can then be deduced straightforwardly.

[STRIKE]Incidentally, you should be using [tex]\theta = -3\pi/2[/tex], since it's a counterclockwise rotation. You got the signs correct somehow anyway, but if the angle were different, you'd have gotten the wrong answer.[/STRIKE]

Edit: Sorry, counterclockwise corresponds to a positive rotation, so ignore what I said here.
 
Last edited:
No That's what the book meant

I don't understand what they are doing. The way I did it is plug them into

[tex]\begin{bmatrix}<br /> cos\theta & -sin\theta \\ <br /> sin\theta & cos\theta <br /> \end{bmatrix}[/tex]
 
OK, it's easy if you draw a picture that I'll explain in words. [tex]\vec{e}_1[/tex] is the unit vector in the direction of the [tex]+x[/tex]-axis, while [tex]\vec{e}_2[/tex] is that for the [tex]+y[/tex]-axis. We put the bases of both vectors at the origin for convenience. Now, if we rotate [tex]\vec{e}_1[/tex] by [tex]3\pi/2[/tex] radians counterclockwise, that corresponds to [tex]270^\circ[/tex], which corresponds to the [tex]-y[/tex]-axis or [tex]-\vec{e}_2[/tex]. We can do the same thing for [tex]\vec{e}_2[/tex] to find [tex]T(\vec{e}_2)[/tex].

Now if you know the action of [tex]T[/tex] on the basis vectors, that's enough information to solve for all of the entries of the matrix by writing the system of equations

[tex]T(\vec{e}_i) = \sum_j T_{ij} \vec{e_j}.[/tex]

This is just a decomposition of whatever we compute for [tex]T(\vec{e}_i)[/tex] in terms of a linear combination of the basis vectors. The coefficients [tex]T_{ij}[/tex] are precisely the matrix elements of [tex]T[/tex]. Because we are using the Cartesian orthonormal basis for [tex]\mathbb{R}^2[/tex] this is the standard form.
 

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