In orthonormal Cartesian coordinates, a rank- tensor has components transforming under a change of axes as
Repeated indices are summed. This is the tensor component transformation law; for rank one it is precisely the transformation law of a vector.
Use the vector triple product to write the double cross product as
Both dot products are invariant under an orthogonal change of axes, while and . Therefore
Hence is a vector. This argument also avoids the sign issue for an individual cross product under an orientation-reversing orthogonal transformation: the double product has two such factors, whose signs cancel.

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