TITLE: How to deduce this formula using differential forms?
QUESTION [5 upvotes]: There's a formula from vector calculus that seems terrible to deduce. This formula is:
$$\nabla\times (A\times B)=(B\cdot\nabla )A-(A\cdot \nabla)B+A (\nabla\cdot B)-B(\nabla\cdot A)$$
Deducing it by computing explicitly the left hand side and getting to the right hand side is feasible but seems complicated, verbose and coordinate dependent. Is it possible to get this from differential form calculus?
I mean, taking the curl of a vector field is equivalent as taking the exterior derivative of a one form. Taking the cross product of vector fields is equivalent to take the wedge product of one forms.
So we would be computing something like $d(\omega\wedge \eta)$ which we know how to compute. The problem is that $\omega \wedge \eta$ should be a $1$-form for all of this to work out. 
I really don't know how to do it. Is it feasible? If so, how can we deduce this?

REPLY [3 votes]: Daniel Fischer is right. 
To perform this calculation with differential forms, you need to use the "Hodge dual", or "star operator". In three dimensions, it transforms a 2-form $\omega = X\,dy\wedge dz + Y\,dz\wedge dx + Z\,dx\wedge dy$ into the 1-form $*\omega = X\,dx + Y\,dy + Z\,dz$ (and viceversa).
In general: $*(dx\wedge dy)= dz$, and so on, cyclically. Using the Levi-Civita symbol notation, and the summation convention on $k$:
$$
*(dx^i\wedge dx^j) = \epsilon_{ijk}\,dx^k.
$$
If the indices seem misplaced, it is because it is an operation involving the (Euclidean) metric. Writing it as the "curl of a cross product" this is not explicit, but still true. 
When an operation involves the metric, using differential forms is still convenient, but not as much as in other cases.
Let $A = a_i\,dx^i$ and $B=b_j\,dx^j$ (summation convention). Consider the 2-form:
$$
C = d*(A\wedge B).
$$
Now, since you are looking for a vector, or a 1-form in our case, you should again take the dual, $*C$.
Writing out:
$$
*C = *d*(a_i\,dx^i\wedge b_j\,dx^j) = *d*(a_i\,b_j\,dx^i\wedge dx^j).
$$
Using the formula above: 
$$
*C = *d(a_i\,b_j*(dx^i\wedge dx^j)) = \epsilon_{ijk}*d(a_i\,b_j\,dx^k).
$$
Now deriving:
$$
*C= \epsilon_{ijk}*d(a_i\,b_j)\wedge dx^k = \epsilon_{ijk}\frac{\partial(a_i\,b_j)}{\partial x^l}*dx^l\wedge dx^k.
$$
Applying the dual once again:
$$
*C = \epsilon_{ijk}\epsilon_{lkm} \frac{\partial(a_i\,b_j)}{\partial x^l}\,dx^m = -\epsilon_{ijk}\epsilon_{klm} \frac{\partial(a_i\,b_j)}{\partial x^l}\,dx^m.
$$
By symmetry considerations (or by very tedious calculations), this identity holds:
$$
\epsilon_{ijk}\epsilon_{klm} = \delta_{il}\delta_{jm} - \delta_{im}\delta_{jl},
$$
where $\delta_{ij}$, the Kronecker delta, is simply the components of the identity matrix. So:
$$
*C = (\delta_{im}\delta_{jl} - \delta_{il}\delta_{jm}) \frac{\partial(a_i\,b_j)}{\partial x^l}\,dx^m.
$$
Expliciting:
$$
*C = \frac{\partial(a_i\,b_j)}{\partial x^j}\,dx^i - \frac{\partial(a_i\,b_j)}{\partial x^i}\,dx^j.
$$
The first term is:
$$
\frac{\partial(a_i)}{\partial x^j}\,b_j\,dx^i + \frac{\partial(b_i)}{\partial x^j}\,a_j\,dx^i,
$$
which is the 1-form of components (summing on $j$):
$$
\omega_i = (b_j\cdot\partial_j)a_i + (a_j\cdot \partial_j)b_i,
$$
corresponding to the vector (look at the indices):
$$
(B\cdot\nabla)A + (A\cdot \nabla)B.
$$
The second ferm is:
$$
- \frac{\partial(a_i)}{\partial x^i}\,b_j\,dx^j - \frac{\partial(b_i)}{\partial x^i}\,a_j\,dx^j,
$$
which is the 1-form of components (summing on $j$):
$$
\phi_i = - (\partial_ja_j)b_i - (\partial_jb_j)a_i,
$$
corresponding to the vector:
$$
-(\nabla\cdot A)B - (\nabla\cdot B)A.
$$
Summing up the two terms, you get exactly the vector you wanted.