Rotation matrix vs regular matrix

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Eigenvalues and eigenvectors can be calculated for rotation matrices, but the results differ from regular matrices due to the nature of rotation angles. Most angles lead to complex eigenvalues, as the characteristic polynomial reveals real solutions only when the cosine of the angle is ±1. The determinant of a rotation matrix is always 1, indicating that eigenvalues and eigenvectors exist. Specifically, for the rotation matrix defined by the angle θ, the eigenvalues are expressed as cos(θ) ± i sin(θ). Thus, the calculation method remains the same, but the outcomes vary significantly based on the angle of rotation.
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:

\begin{bmatrix}\cos\theta&-\sin\theta\\ \sin\theta&\cos\theta\end{bmatrix}

is:

x^2 - (2\cos\theta)x + 1

which has real solutions only when:

4\cos^2\theta - 4 \geq 0 \implies \cos\theta = \pm 1

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

\begin{bmatrix}\cos\theta&-\sin\theta\\ \sin\theta&\cos\theta\end{bmatrix}

is:

x^2 - (2\cos\theta)x + 1

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

\begin{bmatrix}\cos\theta&-\sin\theta\\ \sin\theta&\cos\theta\end{bmatrix}

is:

x^2 - (2\cos\theta)x + 1

which has real solutions only when:

4\cos^2\theta - 4 \geq 0 \implies \cos\theta = \pm 1

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?
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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