Two-vector

Not to be confused with bivector.

A two-vector is a tensor of type (2,0) and it is the dual of a two-form, meaning that it is a linear functional which maps two-forms to the real numbers (or more generally, to scalars).

The tensor product of a pair of vectors is a two-vector. Then, any two-form can be expressed as a linear combination of tensor products of pairs of vectors, especially a linear combination of tensor products of pairs of basis vectors. If f is a two-vector, then

{\mathbf {f}}=f^{{\alpha \beta }}\,{\vec e}_{\alpha }\otimes {\vec e}_{\beta }

where the f ^{α β} are the components of the two-vector. Notice that both indices of the components are contravariant. This is always the case for two-vectors, by definition.

An example of a two-vector is the inverse g^{μ ν} of the metric tensor.

The components of a two-vector may be represented in a matrix-like array. However, a two-vector, as a tensor, should not be confused with a matrix, since a matrix is a linear function

M:V\rightarrow V

which maps vectors to vectors, whereas a two-vector is a linear functional

{\mathbf {f}}:{\tilde {V}}\rightarrow V

which maps one-forms to vectors. In this sense, a matrix, considered as a tensor, is a mixed tensor of type (1,1) even though of the same rank as a two-vector.

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