Finite Rotations: Prove D^(1/2)[R]

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The discussion focuses on proving the expression D^{1/2}[R] = exp(-i/ħ θ · J^{1/2}) and its equivalence to the form involving cosine and sine terms. The user, Norman, presents a near-correct derivation but struggles with the calculations, particularly in the expansion of the exponential and the treatment of the Pauli matrices. A solution is provided, correcting Norman's approach by clarifying the limits of the summation and the necessary factors in the expressions. The final proof confirms that the correct form includes the cosine and sine terms as intended, completing the derivation successfully.
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Finite Rotations

Problem:
PROVE:
D^{\frac{1}{2}}[R]=exp( \frac{-i}{\hbar} \mathbf{\theta} \cdot \mathbf{J}^{\frac{1}{2}} ) = cos(\frac{\theta}{2}) I-\frac{2i}{\hbar}sin(\frac{\theta}{2}) \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}

where:
J_i^{\frac{1}{2}}=\frac{\hbar}{2} \sigma_i
and \sigma_i is the appropriate pauli matrix. And I is the identity matrix.

here is what I have so far... I get so close but the solution is incorrect:

= e^{\frac{-i \theta}{2}} e^{\sum_{i=1}^3 \sigma_i}
= (cos(\frac{\theta}{2})-i sin(\frac{\theta}{2})) e^{\sum_{i=1}^3 \sigma_i}
= (cos(\frac{\theta}{2})-i sin(\frac{\theta}{2})) \sum_{n=0}^\infty \frac{(\sum_{i=1}^3 \sigma_i)^n}{n!}

for j=1/2 the sum over n only needs to go from 0 to 2j (1) so the last line only pics up the first 2 terms.

= (cos(\frac{\theta}{2})-i sin(\frac{\theta}{2}))(I + \sum_{i=1}^3 \sigma_i)
Now let:
\sum_{i=1}^3 \sigma_i = \frac{2}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}
therefore:
D^{\frac{1}{2}}[R]= (cos(\frac{\theta}{2})-i sin(\frac{\theta}{2}))(I + \frac{2}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}})

Now I know this is isn't correct... but it is sooo close that I am having a hard time finding where I went wrong and how else to get the cosine and sine terms to show up. Please help, I am horribly frustrated.
Thanks,
Norm
 
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aSolution: Starting with your last expression, we can simplify it as follows: D^{\frac{1}{2}}[R]= (cos(\frac{\theta}{2})-i sin(\frac{\theta}{2}))(I + \frac{2}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}) = cos(\frac{\theta}{2}) (I + \frac{2}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}) -i sin(\frac{\theta}{2}) (I + \frac{2}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}) = cos(\frac{\theta}{2}) I -\frac{2i}{\hbar}sin(\frac{\theta}{2}) \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}} + \frac{2}{\hbar} sin(\frac{\theta}{2}) \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}-i sin(\frac{\theta}{2}) I -\frac{2i}{\hbar}sin(\frac{\theta}{2}) \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}= cos(\frac{\theta}{2}) I -\frac{2i}{\hbar}sin(\frac{\theta}{2}) \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}} Thus, the proof is complete.
 
an


Dear Norman,

Thank you for sharing your work so far. It seems like you are on the right track, but there are a few errors in your calculations.

First, when you expanded the exponential term, you only need to consider the first two terms because for j=1/2, the sum only goes up to n=1. However, your expansion goes up to n=3. This is why you have extra terms in your final expression.

Secondly, when you let \sum_{i=1}^3 \sigma_i = \frac{2}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}, you are missing a factor of i in the right-hand side. It should be \frac{2i}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}. This is why you end up with the incorrect expression for D^{1/2}[R] at the end.

To correct these errors, let's start from the beginning. We have:

D^{\frac{1}{2}}[R] = e^{\frac{-i}{\hbar} \mathbf{\theta} \cdot \mathbf{J}^{\frac{1}{2}}}

= cos(\frac{\theta}{2}) I -i sin(\frac{\theta}{2}) \mathbf{\theta} \cdot \mathbf{J}^{\frac{1}{2}}

= cos(\frac{\theta}{2}) I -i sin(\frac{\theta}{2}) \frac{2i}{\hbar} \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}

= cos(\frac{\theta}{2}) I - \frac{2}{\hbar} sin(\frac{\theta}{2}) \hat{\theta} \cdot \mathbf{J}^{\frac{1}{2}}

= cos(\frac{\theta}{2}) I - \frac{2}{\hbar} sin(\frac{\theta}{2}) (\frac{\hbar}{2} \sigma_x \hat{\theta}_x + \frac{\hbar}{2} \sigma_y \hat{\theta}_y + \frac{\hbar}{2} \sigma_z \hat{\theta
 
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