I need an explanation behind this calculation

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SUMMARY

The discussion centers on the mathematical expression exp(iσ·nφ/2) and the assumption that (σ·n)² = I, where σ represents the Pauli matrices and n is a unit vector. The key derivation involves the properties of the Pauli matrices, specifically σ_i² = I and the commutation and anticommutation relations. The conclusion drawn is that the expression simplifies to I due to the orthonormality of the unit vector n and the properties of the Pauli matrices, confirming that the middle steps in the derivation are valid and necessary for understanding the calculation.

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  • Understanding of Pauli matrices and their properties
  • Familiarity with quantum mechanics concepts, particularly spin operators
  • Knowledge of tensor notation and permutation tensors
  • Basic understanding of series expansions in mathematical physics
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Demon117
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When expressing [itex]exp(\frac{i\sigma\cdot \widehat{n}\phi}{2})[/itex] as a series expansion, why can we make the assumption that [itex](\sigma\cdot \widehat{n})^{2}=I[/itex]?

Someone I asked on campus showed me this and I don't quite understand its implications (partly because I don't quite understand permutation tensors):

[itex]\sigma_{i}n_{i}\sigma_{j}n_{j}=n_{i}n_{j}(\delta_{ij}I+i\epsilon_{ijk}\sigma_{k})=(\widehat{n}\cdot \widehat{n})I+0=I[/itex]

The middle two steps are really foreign to me, but I get the component parts in front and the last part. Could someone explain in further detail why the middle two parts exist?
 
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matumich26 said:
When expressing [itex]exp(\frac{i\sigma\cdot \widehat{n}\phi}{2})[/itex] as a series expansion, why can we make the assumption that [itex](\sigma\cdot \widehat{n})^{2}=I[/itex]?

Someone I asked on campus showed me this and I don't quite understand its implications (partly because I don't quite understand permutation tensors):

[itex]\sigma_{i}n_{i}\sigma_{j}n_{j}=n_{i}n_{j}(\delta_{ij}I+i\epsilon_{ijk}\sigma_{k})=(\widehat{n}\cdot \widehat{n})I+0=I[/itex]

The middle two steps are really foreign to me, but I get the component parts in front and the last part. Could someone explain in further detail why the middle two parts exist?

Pauli matrices have the following IMPORTANT properties that you probably should verify and memorize:
[itex]\sigma_j^2 = I\,,[/itex] [itex][\sigma_i, \sigma_j] = 2 i\epsilon_{ijk} \sigma_k \,,[/itex] [itex]\{\sigma_i, \sigma_j\} = 2\delta_{ij} I[/itex]

Now, from the second step:
[itex]n_i n_j \sigma_i \sigma_j =<br /> \frac12 n_i n_j (\sigma_i \sigma_j + \sigma_j \sigma_i)<br /> = \frac12 n_i n_j \{\sigma_i, \sigma_j\} = n_i n_j \delta_i I = I[/itex]

What the person you used is this:
[itex]\frac12 \left( [\sigma_i, \sigma_j] + \{\sigma_i, \sigma_j\} \right) = \delta_{ij} I + i\epsilon_{ijk} \sigma_k[/itex]
 
Last edited:
mathfeel said:
Pauli matrices have the following IMPORTANT properties that you probably should verify and memorize:
[itex]\sigma_j^2 = I\,,[/itex] [itex][\sigma_i, \sigma_j] = 2 i\epsilon_{ijk} \sigma_k \,,[/itex] [itex]\{\sigma_i, \sigma_j\} = 2\delta_{ij} I[/itex]

Now, from the second step:
[itex]n_i n_j \sigma_i \sigma_j =<br /> \frac12 n_i n_j (\sigma_i \sigma_j + \sigma_j \sigma_i)<br /> = \frac12 n_i n_j \{\sigma_i, \sigma_j\} = n_i n_j \delta_i I = I[/itex]

What the person you used is this:
[itex]\frac12 \left( [\sigma_i, \sigma_j] + \{\sigma_i, \sigma_j\} \right) = \delta_{ij} I + i\epsilon_{ijk} \sigma_k[/itex]

Wow, that is actually very helpful. Thank you. But I wonder, is the last portion [itex]\frac12 \left( [\sigma_i, \sigma_j] + \{\sigma_i, \sigma_j\} \right) = \delta_{ij} I + i\epsilon_{ijk} \sigma_k[/itex] necessary? It looks as though you can get by without that from the second step. Thanks again.
 

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