Representation of j=1 rotation matrix

In summary, the conversation discusses the derivation of a fact for j=1 rotation matrix, which involves the use of the following equation: [atex]\frac{J_y}{\hbar} = (J_y/\hbar)^3[/itex]. The group then explores a simpler way to prove this fact through matrix multiplication and discusses the mistake of using the eigenvalues. The conversation ends with a mention of the simpler proof using eigenvalues.
  • #1
jdstokes
523
1
[SOLVED] Representation of j=1 rotation matrix

The derivation of this involves the use of the following fact for j=1:

[atex]\frac{J_y}{\hbar} = (J_y/\hbar)^3[/itex].

Is there a simple way to see this other than slogging through the algebra by expanding out the RHS using [itex]J_y = \frac{1}{2i}(J_+ - J_i)[/itex] and [itex]J_{\pm}|jm\rangle = \hbar\sqrt{(j\mp m)(j \pm m + 1)}| j,m\pm 1\rangle[/itex]?
 
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  • #2
jdstokes said:
The derivation of this involves the use of the following fact for j=1:
[atex]\frac{J_y}{\hbar} = (J_y/\hbar)^3[/itex].
That's not true in general, since the eigenvalues of J_y for j=1 are +1,0,-1.
It is not true for j=-1. Perhaps there is a special circumstance in your problem.
 
  • #3
Hi Pam,

It is true for j=1, and I was being stupid anyway, the trick is to use matrix multiplication.

Ie just write down [itex]\langle j'=1,m'| J_y|j=1,m\rangle[/itex] and do the trivial matrix multiplication. Doh!
 
  • #4
Of course, I made the silly mistake of thinking (-1)^3=+1.
Using the evs is a simpler proof than even trivial matrix math.
 
  • #5
evs?
 

FAQ: Representation of j=1 rotation matrix

What is the purpose of a j=1 rotation matrix?

The j=1 rotation matrix is used to represent a rotation around the j-axis in three-dimensional space. It is often used in computer graphics and robotics to calculate the position and orientation of objects.

How is a j=1 rotation matrix constructed?

A j=1 rotation matrix is constructed using the cosine and sine of the rotation angle, as well as the coordinates of the j-axis. The resulting matrix is a 3x3 matrix with a combination of 1s, 0s, cosines, and sines.

Can a j=1 rotation matrix be used for rotations around other axes?

No, a j=1 rotation matrix is specifically designed for rotations around the j-axis. Other rotation matrices, such as those for rotations around the x, y, or z-axis, must be used for rotations around those axes.

How is a j=1 rotation matrix different from a j=0 rotation matrix?

The main difference between a j=1 and j=0 rotation matrix is that the j=1 matrix includes a rotation around the j-axis, while the j=0 matrix represents no rotation. Additionally, the j=1 matrix has a determinant of 1, while the j=0 matrix has a determinant of -1.

Can a j=1 rotation matrix be used to rotate vectors?

Yes, a j=1 rotation matrix can be used to rotate vectors as long as the vector is in the same coordinate system as the matrix. The vector must first be converted into a column matrix before multiplying it with the rotation matrix to get the rotated vector.

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