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 .
Introduced in 2012