Interchanging dot and cross product? In a proof that I'm working on the solution has that 
$$\hat{n}\cdot\nabla~\times~(\vec{V}~\times~\vec{C}) = (\hat{n}~\times~\nabla)~\times~\vec{V})\cdot\vec{C}$$
I'm wondering what the justification is for being able to flip $\hat{n}$ and $\vec{C}$ since one is in a cross product and one is in a dot product.
 A: Maybe the easiest way to see this is using tensor notation and the Levi-Civita symbol $\epsilon_{abc}$.  In this notation the dot-product of two vectors $A_i$ and $B_i$ is written $A_iB_i$ with the sum over $i$ being implicit (note that I'm using all indices lowered, which is a bit different from typical Einstein summation convention, but that's moot here since everything is Euclidean); the cross-product of two vectors $A\times B$ is then $(A\times B)_i=\epsilon_{ijk}A_jB_k$ (note that this hides a double summation, but almost all the terms are zero).
Written this way, we have $(V\times C)_i=\epsilon_{ijk} V_jC_k$, so $(\nabla\times(V\times C))_i = \epsilon_{ijk}\nabla_j\epsilon_{klm}V_lC_m$, and $n\cdot(\nabla\times(V\times C)) = n_i\epsilon_{ijk}\nabla_j\epsilon_{klm}V_lC_m$ (note that every index appears exactly twice, so this is a scalar).  Similarly, $((n\times \nabla)\times V)\cdot C = \epsilon_{ijk}\epsilon_{jlm}n_l\nabla_mV_kC_i$.
From here, the two can be shown the same by some rearrangement and renaming of indices; the first is $\epsilon_{ijk}\epsilon_{klm}n_i\nabla_jV_lC_m$, and by renaming $l\mapsto i, m\mapsto j, j\mapsto k, k\mapsto l, i\mapsto m$ we can write the second expression as $\epsilon_{mkl}\epsilon_{kij}n_i\nabla_jV_lC_m$.  But $\epsilon_{kij}=-\epsilon_{ijk}$ and $\epsilon_{mkl}=-\epsilon_{klm}$, so these two expressions are equal.
(There's a little bit of subtlety since we can't just move $\nabla$ around willy-nilly, but note that we actually keep all of the 'vectors' $n, \nabla, V, C$ themselves here in the same order; hopefully you can convince yourself that it always applies to the same terms.)
A: $\newcommand{\bbx}[1]{\,\bbox[15px,border:1px groove navy]{\displaystyle{#1}}\,}
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$\ds{\vec{n}\cdot\nabla\times\pars{\vec{v}\times\vec{c}} = \bracks{\pars{\vec{n}\times\nabla}\times\vec{v}}\cdot\vec{c}:\ {\Large ?}.\qquad}$ Hereafter, $\ds{\epsilon_{\alpha\beta\gamma}}$ is the
  Levi-Civita Symbol.

\begin{align}
\vec{n}\cdot\nabla\times\pars{\vec{v} \times \vec{c}} & =
\sum_{i}n_{i}\bracks{\nabla\times\pars{\vec{v} \times \vec{c}}}_{i} =
\sum_{i}n_{i}\sum_{jk}\epsilon_{ijk}\,\partiald{\pars{\vec{v} \times \vec{c}}_{k}}{x_{j}}
\\[5mm] & =
\sum_{ijk}n_{i}\,\epsilon_{ijk}\,\partiald{}{x_{j}}
\sum_{\ell m}\epsilon_{k\ell m}\,v_{\ell}\,c_{m} =
\sum_{ij\ell m}n_{i}\,\,\partiald{\pars{v_{\ell}\,c_{m}}}{x_{j}}
\sum_{k}\epsilon_{kij}\epsilon_{k\ell m}
\end{align}

However,
  $\ds{\sum_{k}\epsilon_{kij}\epsilon_{k\ell m} =
\delta_{i\ell}\delta_{jm} - \delta_{im}\delta_{j\ell}}$.

Then,
\begin{align}
\vec{n}\cdot\nabla\times\pars{\vec{v} \times \vec{c}} & =
\sum_{ij}n_{i}\,\,\partiald{\pars{v_{i}\,c_{j}}}{x_{j}} -
\sum_{ij}n_{i}\,\,\partiald{\pars{v_{j}\,c_{i}}}{x_{j}}
=
\sum_{ij}\pars{n_{i}\,\partiald{}{x_{j}} - n_{j}\,\partiald{}{x_{i}}}v_{i}c_{j}
\\[5mm] & =
\sum_{j}\bracks{\sum_{i}\pars{n_{i}\,\partiald{}{x_{j}} - n_{j}\,\partiald{}{x_{i}}}v_{i}}c_{j}\label{1}\tag{1}
\end{align}

Moreover,
\begin{align}
\bracks{\pars{\vec{n}\times\nabla}\times\vec{v}}_{j} & =
\sum_{k\ell}\epsilon_{jk\ell}\pars{\vec{n}\times\nabla}_{k}\, v_{\ell} =
\sum_{k\ell}\epsilon_{jk\ell}\pars{\sum_{mp}\epsilon_{kmp}\, n_{m}\,\partiald{}{x_{p}}}v_{\ell}
\\[5mm] & =
\sum_{\ell mp}\pars{\sum_{k}\epsilon_{k\ell j}\,\epsilon_{kmp}}
n_{m}\,\partiald{}{x_{p}}v_{\ell} =
\sum_{\ell mp}\pars{\delta_{\ell m}\delta_{jp} - \delta_{\ell p}\delta_{jm}}
n_{m}\,\partiald{}{x_{p}}v_{\ell}
\\[5mm] & =
\sum_{\ell}\pars{n_{\ell}\,\partiald{}{x_{j}}v_{\ell} -
n_{j}\,\partiald{}{x_{\ell}}v_{\ell}} =
\sum_{i}\pars{n_{i}\,\partiald{}{x_{j}} -
n_{j}\,\partiald{}{x_{i}}}v_{i}\label{2}\tag{2}
\end{align}


Compare \eqref{1} and \eqref{2}:

$$
\vec{n}\cdot\nabla\times\pars{\vec{v} \times \vec{c}} =
\sum_{j}\bracks{\pars{\vec{n}\times\nabla}\times\vec{v}}_{j}c_{j} =
\bbx{\bracks{\pars{\vec{n}\times\nabla}\times\vec{v}}\cdot\vec{c}}
$$
