Rotation matrix vs regular matrix

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Discussion Overview

The discussion revolves around the calculation of eigenvalues and eigenvectors for rotation matrices compared to regular matrices. Participants explore the implications of the properties of rotation matrices, particularly focusing on their determinants and characteristic polynomials.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant questions whether eigenvalues and eigenvectors for rotation matrices can be calculated in the same manner as for regular matrices.
  • Another participant suggests that the existence of real eigenvalues depends on the angle of rotation, noting that most angles will yield complex eigenvalues.
  • It is noted that the determinant of a rotation matrix is always 1, implying that eigenvalues and eigenvectors can be calculated for any rotation matrix.
  • Several participants present the characteristic polynomial of a 2D rotation matrix and analyze its solutions, indicating that real solutions occur only for specific angles (integer multiples of pi), while other angles lead to complex eigenvalues.
  • One participant humorously connects the eigenvalues expressed in terms of cosine and sine to the concept of rotation.
  • A later reply questions the relevance of a previous statement regarding the characteristic polynomial, indicating some confusion or disagreement about the points being made.

Areas of Agreement / Disagreement

Participants express differing views on the nature of eigenvalues for rotation matrices, with some asserting that real eigenvalues exist only for specific angles while others emphasize the general calculability of eigenvalues and eigenvectors. The discussion remains unresolved regarding the implications of these findings.

Contextual Notes

Participants reference the characteristic polynomial and its solutions without resolving the implications of complex eigenvalues in the context of rotation matrices. There is also a lack of consensus on the relevance of certain statements made during the discussion.

dmoney123
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Can you calculate eigenvalues and eigenvectors for rotation matrices the same way you would for a regular matrix?

If not, what has to be done differently?
 
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it don't see why not. the existence of real eigenvalues will depend on the angle of rotation (most angles will give complex eigenvalues).
 
The determinant of a rotation matrix should always be 1 (since it preserves length) so there should always be eigenvalues and eigenvectors that can be calculated given a rotation matrix.
 
chiro said:
The determinant of a rotation matrix should always be 1 (since it preserves length) so there should always be eigenvalues and eigenvectors that can be calculated given a rotation matrix.

the characteristic polynomial of:

[tex]\begin{bmatrix}\cos\theta&-\sin\theta\\ \sin\theta&\cos\theta\end{bmatrix}[/tex]

is:

[tex]x^2 - (2\cos\theta)x + 1[/tex]

which has real solutions only when:

[tex]4\cos^2\theta - 4 \geq 0 \implies \cos\theta = \pm 1[/tex]

for angles that aren't integer multiples of pi, this will lead to complex eigenvalues.
 
Deveno said:
the characteristic polynomial of:

[tex]\begin{bmatrix}\cos\theta&-\sin\theta\\ \sin\theta&\cos\theta\end{bmatrix}[/tex]

is:

[tex]x^2 - (2\cos\theta)x + 1[/tex]

... and the eigenvalues are [itex]\cos\theta \pm i \sin\theta[/itex]. Now, I wonder what that fact might have to do with "rotation"... :smile:
 
Deveno said:
the characteristic polynomial of:

[tex]\begin{bmatrix}\cos\theta&-\sin\theta\\ \sin\theta&\cos\theta\end{bmatrix}[/tex]

is:

[tex]x^2 - (2\cos\theta)x + 1[/tex]

which has real solutions only when:

[tex]4\cos^2\theta - 4 \geq 0 \implies \cos\theta = \pm 1[/tex]

for angles that aren't integer multiples of pi, this will lead to complex eigenvalues.

What has that got to do with what I said?
 

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