Square bracket notation for anti-symmetric part of a tensor I know that 
$A_{[a} B_{b]} = \frac{1}{2!}(A_{a}B_{b} - A_{b}B_{a})$
But how can write $E_{[a} F_{bc]}$ like the above?
Can you provide a reference where this notational matter is discussed?
 A: The antisymmetric part is defined as
$$
A_{[a_1 \cdots a_n]} = \frac{1}{n!} \sum\limits_{\sigma \in P(n)} \text{sgn}(\sigma)A_{a_{\sigma(1)} \cdots a_{\sigma(n)}}
$$
where $P(n)$ is the set of all permutations of the set $\{1,\cdots,n\}$. $\text{sgn}(\sigma)$ is called the sign of the permutation and is positive of $\sigma$ is obtained from the identity $\sigma_0 = \{1,\cdots,n\} \in P(n)$ using an even number of exchanges and negative otherwise.
Applying this to $n=3$, we find
$$
P(3) = \{\{1,2,3\},\{1,3,2\},\{2,1,3\},\{3,2,1\},\{2,3,1\},\{3,1,2\}\}
$$
With signs
$$
\text{sgn}(\sigma) = \{1,-1,-1,-1,1,1\}
$$
We then find
$$
A_{[a_1a_2a_3]} = \frac{1}{3!} \left( A_{a_1a_2a_3} + A_{a_3a_1a_2} + A_{a_2a_3a_1} - A_{a_1a_3a_2} - A_{a_2a_1a_3} - A_{a_3a_2a_1} \right)
$$
A: This is paraphrasing Wald - General Relativity, section 2.4.
Antisymmetrizing $n$ indices means summing over all permutations of the indices, times the sign of each permutation. Since there are $n!$ permutations, it's a sane convention to divide by $n!$ (not all authors do this).
For your example, there are $3! = 6$ permutations of $(abc)$. The even ones are simply $(abc)$, $(bca)$ and $(cab)$, whereas the odd ones are $(acb)$, $(cba)$ and $(bac)$. So
$$E_{[a}F_{bc]} = \frac{1}{6} \left[ E_aF_{bc} + E_bF_{ca} + E_cF_{ab} - E_aF_{cb} - E_bF_{ac} - E_cF_{ba} \right].$$
If you've never heard of the distinction between even and odd permutations, you need to open up a textbook about undergraduate group theory -- it's easy to understand but takes quite some space to do the explicit proof that thing is a well-defined thing and you do need to understand the structure of the permutation group $S_N$.
A: I use following method:
$T_{[ijk]}$
Set indices into determinant
$\left| \begin{matrix} i & j & k \\i & j & k \\i & j & k \end{matrix} \right| = ijk + jki + kij - ikj - jik - kji.$
Next, apply 6 indices and sign into $T$, so we get
$T_{[ijk]} = \dfrac{1}{3!} (T_{ijk}+T_{jki}+T_{kij}-T_{ikj}-T_{jik}-T_{kji}).$
