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Below is a part of the book "Condensed Matter Field Theory" by Altland and Simon.

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My question is about deriving the equation with red arrow. This is outlined in the exercise in the figure, but I don't understand the meaning of $$\sigma_{\alpha\beta}\cdot\sigma_{\gamma\delta}=2\delta_{\alpha\delta}\delta_{\beta\gamma}-\delta_{\alpha\beta}\delta_{\gamma\delta}$$ Deos $\sigma_{\alpha\beta}$ means Pauli matrix? Then why it has two subindices?

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    $\begingroup$ Yes, $\alpha$ is the row and $\beta$ is the column. Both range from one to two. The dot product also implicitly sums over the index that tells you which of the three Pauli matrices you're dealing with. $\endgroup$
    – knzhou
    Commented Jun 28, 2019 at 14:34
  • $\begingroup$ @knzhou Thanks! Then I understand the meaning of the equation, but how can I derive it (without brute-force way)? $\endgroup$
    – Laplacian
    Commented Jun 29, 2019 at 3:20

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Using $\vec{\sigma}_{\alpha\beta}\cdot \vec{\sigma}_{\gamma\delta} = 2\delta_{\alpha\delta}\delta_{\beta\gamma}-\delta_{\alpha\beta}\delta_{\gamma\delta}$ (which I will prove later), we have (switching for convenience the index labels $\sigma \rightarrow \alpha$ and $\sigma' \rightarrow \beta$)

\begin{align} a_{i\alpha}^\dagger a_{j\beta}^\dagger a_{i\beta}a_{j\alpha} &= -a_{i\alpha}^\dagger a_{i\beta} a_{j\beta}^\dagger a_{j\alpha}\\ &= -a_{i\alpha}^\dagger a_{i\beta} a_{j\gamma}^\dagger a_{j\delta} \delta_{\alpha\delta}\delta_{\beta\gamma}\\ &= -\frac{1}{2} a_{i\alpha}^\dagger a_{i\beta} a_{j\gamma}^\dagger a_{j\delta} \left( \vec{\sigma}_{\alpha\beta}\cdot \vec{\sigma}_{\gamma\delta} + \delta_{\alpha\beta}\delta_{\gamma\delta} \right). \end{align}

Using $\mathbf{S}_{i;\alpha\beta} = \frac{1}{2}a_{i\alpha}^\dagger a_{i\beta}\vec{\sigma}_{\alpha\beta}$ and $n_i = a_{i\alpha}^\dagger a_{i\alpha}$, the above becomes

\begin{align} a_{i\alpha}^\dagger a_{j\beta}^\dagger a_{i\beta}a_{j\alpha} &= -2 \left( \mathbf{S}_i \cdot \mathbf{S}_j + \frac{1}{4} n_i n_j \right). \end{align}

Multiplying this equality by $J^F_{ij}\equiv U_{ijji}$ and summing over $i \neq j$, we find

$$H_{x} = -2\sum_{ij}J^F_{ij}\left( \mathbf{S}_i \cdot \mathbf{S}_j + \frac{1}{4} n_i n_j \right),$$

as desired.

A proof of the Pauli matrix identity can be found on Wikipedia, but I reproduce it below for convenience. Recall that the Pauli matrices, coupled with the identity matrix (which I denote $\sigma^0$), comprise a complete basis of the space of $2\times2$ matrices. As such, any matrix $M$ can be written as

$$M = \sum_{k=0}^4 c_k \sigma^k$$

for some coefficients $c_k$. Using the fact that $\mathrm{Tr}(\sigma^i) = 0$ and $\mathrm{Tr}[\sigma^i\sigma^j] = 2\delta_{ij}$ for $i=1,2,3$, one finds $c_0 = \frac{1}{2}\mathrm{Tr}M$ and $c_i = \frac{1}{2}\mathrm{Tr}[\sigma^i M]$. We therefore have (switching to index notation for later convenience)

$$M_{\alpha\beta} = \frac{1}{2}\mathrm{Tr}M \delta_{\alpha\beta} + \sum_{i=1}^3\frac{1}{2}\mathrm{Tr}[\sigma^i M]\sigma^i_{\alpha\beta}.$$

Writing out the traces in index notation, this becomes

$$M_{\alpha\beta} = \frac{1}{2}M_{\gamma\gamma} \delta_{\alpha\beta} + \sum_{i=1}^3 \frac{1}{2}\sigma^i_{\gamma\delta}M_{\delta\gamma}\sigma^i_{\alpha\beta}.$$

Rewriting $M_{\alpha\beta} = M_{\delta\gamma}\delta_{\alpha\delta}\delta_{\beta\gamma}$ and $M_{\gamma\gamma} = M_{\delta\gamma}\delta_{\gamma\delta}$ and noting that this equality holds for any matrix $M$, we find

$$\delta_{\alpha\delta}\delta_{\beta\gamma} = \frac{1}{2}\delta_{\alpha\beta}\delta_{\gamma\delta}+\frac{1}{2}\vec{\sigma}_{\alpha\beta}\cdot \vec{\sigma}_{\gamma\delta}.$$

Rearranging this gives the desired Pauli matrix identity.

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