Phy5646/character: Difference between revisions

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<math>D_{\mathit{j}}(\phi\hat{z})=\; diag(e^{\mathit{ij}\phi}e^{\mathit{i(j-1)}\phi}...e^{-\mathit{ij}\phi})</math>
<math>D_{\mathit{j}}(\phi\hat{z})=\; diag(e^{\mathit{ij}\phi}e^{\mathit{i(j-1)}\phi}...e^{-\mathit{ij}\phi})</math>


and the character is easy to compute  
and the character is easy to compute
<math>\chi_{\mathit{j}}(\phi)=\sum_{\mathit{m=-j}}^{\mathit{j}}\; e^{\mathit{im\phi}}</math>
<math>\chi_{\mathit{j}}(\phi)=\sum_{\mathit{m=-j}}^{\mathit{j}}\; e^{\mathit{im\phi}}</math>
<math>=\frac{\epsilon^{\mathit{j+1}}-\epsilon^{-\mathit{j}}}{\epsilon-1}\; \; \; where\; \; \epsilon=e^{\mathit{i\phi}}</math>
<math>=\frac{\epsilon^{\mathit{j+1}}-\epsilon^{-\mathit{j}}}{\epsilon-1}\; \; \; where\; \; \epsilon=e^{\mathit{i\phi}}</math>
<math>=\frac{sin(\mathit{j+\frac{1}{2})\phi}}{sin(\frac{\phi}{2})}</math>
<math>=\frac{sin(\mathit{j+\frac{1}{2})\phi}}{sin(\frac{\phi}{2})}</math>


But any rotation may be brought to diagonal form by a similarity transform, so this is the most general character. It depends on the rotation angle, not the direction.
But any rotation may be brought to diagonal form by a similarity transform, so this is the most general character. It depends on the rotation angle, not the direction.
If we tensor together the states <math> |\mathit{j_{1}m_{1}}\rangle </math> and <math>|\mathit{j_{2}m_{2}}\rangle</math>, they transform under the tensor product representation <math>D_{\mathit{j_{1}}}\times D_{\mathit{j_{2}}}</math>.
 
If we tensor together the states <math> |\mathit{j_{1}m_{1}}\rangle </math> and <math>|\mathit{j_{2}m_{2}}\rangle</math>, they transform under the tensor product representation  
<math>D_{\mathit{j_{1}}}\times D_{\mathit{j_{2}}}</math>.

Revision as of 19:32, 25 April 2010

Angular Momentum Addition by Characters

Rotation matrices are matrix functions of rotating angles in some representation of spin . To indicate more explicitly the representation we are in we write them as .Let us define the character by For a rotation about the z-axis, the rotation matrix is diagonal

and the character is easy to compute

But any rotation may be brought to diagonal form by a similarity transform, so this is the most general character. It depends on the rotation angle, not the direction.

If we tensor together the states and , they transform under the tensor product representation .