TensorWedge[tensor1, tensor2, ...] represents the
antisymmetrized tensor product of the . - TensorWedge[a, b] can
be input as . The character is entered as Esct^Esc or
\[TensorWedge]. - In a tensor wedge product of explicit or
symbolic arrays, all slots must have the same dimension , though
different arrays may have different ranks. TensorWedge
generalizes Cross, which requires vectors of length . - The
TensorWedge product of several arrays is an antisymmetric array,
always given in SymmetrizedArray form. - If the tensors are not
antisymmetric, then they are effectively antisymmetrized before
performing the product. Vectors are considered antisymmetric
tensors of rank 1. Scalars are considered antisymmetric tensors
of rank 0. - The wedge product TensorWedge[t1, ..., tk] of the
antisymmetric tensors is equivalent to Multinomial[r1, ...,
rk]*Symmetrize[TensorProduct[t1, ..., tk], Antisymmetric[All]],
where is the tensor rank of . New in 9