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
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